From 0688f5031387115ff2fe16d4ef2f9c1aa507d7ef Mon Sep 17 00:00:00 2001 From: Daniel Saavedra Date: Wed, 25 Nov 2020 16:03:59 -0300 Subject: [PATCH] Classifier SVM --- .../ClassifierPanel_KML-checkpoint.ipynb | 532 +- .../Enumeration_KML-checkpoint.ipynb | 36 +- GPS_Panel/Classifier/.gitignore | 6 +- .../Train_Classifier_AllDeep-checkpoint.ipynb | 6015 +++- ...Train_Classifier_DEEP_SVC-checkpoint.ipynb | 12341 ++++++- .../Classifier/Train_Classifier_AllDeep.ipynb | 28753 ++-------------- .../Train_Classifier_DEEP_SVC.ipynb | 12341 ++++++- GPS_Panel/ClassifierPanel_KML.ipynb | 532 +- GPS_Panel/Enumeration_KML.ipynb | 36 +- GPS_Panel/Pampa/KML/Paneles_BP-A-1.kml | 646 +- 10 files changed, 34034 insertions(+), 27204 deletions(-) diff --git a/GPS_Panel/.ipynb_checkpoints/ClassifierPanel_KML-checkpoint.ipynb b/GPS_Panel/.ipynb_checkpoints/ClassifierPanel_KML-checkpoint.ipynb index 4a27580..71de65c 100644 --- a/GPS_Panel/.ipynb_checkpoints/ClassifierPanel_KML-checkpoint.ipynb +++ b/GPS_Panel/.ipynb_checkpoints/ClassifierPanel_KML-checkpoint.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 90, + "execution_count": 54, "metadata": {}, "outputs": [], "source": [ @@ -19,7 +19,22 @@ "from Utils import doubleMADsfromMedian\n", "from skimage.transform import resize\n", "import pickle\n", - "import simplekml\n" + "import simplekml\n", + "\n", + "from sklearn.preprocessing import LabelEncoder\n", + "from sklearn.svm import SVC\n", + "from sklearn.neighbors import KNeighborsClassifier\n", + "import time\n", + "import tensorflow as tf\n", + "\n", + "\n", + "def classifier(base_model, recognizer, labels, image_input):\n", + " weight, height, dim = base_model.input.shape[1], base_model.input.shape[2], base_model.input.shape[3]\n", + " Im_resize = cv2.resize(image_input, (weight, height), interpolation = cv2.INTER_AREA)\n", + " vec = base_model.predict(tf.keras.backend.expand_dims(Im_resize,0)).flatten()\n", + " prob = recognizer.predict_proba([vec])[0]\n", + " return labels.classes_[np.argmax(prob)], prob[np.argmax(prob)]\n", + " " ] }, { @@ -31,25 +46,53 @@ }, { "cell_type": "code", - "execution_count": 91, + "execution_count": 55, "metadata": {}, "outputs": [], "source": [ - "path_T = \"Pampa/THERMAL_06.tif\"\n", - "path_String = \"Pampa/BP-B-5.tif\"\n", - "ZonaPV = 'BP-B-5'\n", + "path_T = \"Pampa/THERMAL_01.tif\"\n", + "path_String = \"Pampa/BP-A-1.tif\"\n", + "ZonaPV = 'BP-A-1'\n", "path_kml_panel = 'Pampa/KML/Paneles_' + ZonaPV +'_classifier.kml'\n", "path_dict = 'Pampa/KML/Mesa_' + ZonaPV + '.pickle'\n", + "path_new_dict = 'Pampa/KML/Mesa_' + ZonaPV + '_classifier.pickle'\n", "\n", "GR_String = gr.from_file(path_String)\n", "GR_T = gr.from_file(path_T)\n", "geot_T = GR_T.geot\n", - "img_height, img_width = 128,128\n", "## Load List in coordinate latitud and longitude ###\n", "with open(path_dict, \"rb\") as fp:\n", " L_strings_coord = pickle.load(fp)" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Load Classifier" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [], + "source": [ + "path_dataset = './Classifier/Data_set_2/Data_prueba_0/' \n", + "output_recognizer = path_dataset + \"model_SVM/recognizer.pickle\"\n", + "output_label = path_dataset + \"model_SVM/le.pickle\"\n", + "\n", + "\n", + "img_width, img_height = 224, 224\n", + "base_model = tf.keras.applications.Xception(input_shape=(img_height, img_width, 3), weights='imagenet', include_top=False)\n", + "\n", + "x = base_model.output\n", + "x = tf.keras.layers.GlobalAveragePooling2D()(x)\n", + "base_model = tf.keras.models.Model(inputs=base_model.input, outputs=x)\n", + "recognizer_SVM = pickle.loads(open(output_recognizer, \"rb\").read())\n", + "le = pickle.loads(open(output_label, \"rb\").read())" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -59,34 +102,45 @@ }, { "cell_type": "code", - "execution_count": 92, + "execution_count": 77, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "1\n" + "10\n" ] }, { - "ename": "NameError", - "evalue": "name 'classifier' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 14\u001b[0m \u001b[0mIm\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m 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\u001b[0mpanel\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'status'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpanel\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'prob'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mclassifier\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mIm\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 17\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 18\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'problem with coords panel: '\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstring_key\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'_'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpanel_key\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mNameError\u001b[0m: name 'classifier' is not defined" - ] + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 77, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" } ], "source": [ "\n", - "epsilon = 0\n", + "epsilon = -2\n", "matrix_expand_bounds = [[-epsilon, -epsilon],[+epsilon, -epsilon], [+epsilon, +epsilon], [-epsilon, +epsilon]]\n", "\n", - "for string_key in ['1', '20']:# L_strings_coord.keys():\n", + "for string_key in ['10']:# L_strings_coord.keys():\n", " print(string_key)\n", " string = L_strings_coord[string_key]\n", " for panel_key in string['panels'].keys():\n", @@ -98,7 +152,7 @@ " Im[:,:,0] = cv2.resize(GR_T.raster.data[0,Points[0][1] : Points[2][1], Points[0][0]: Points[2][0]], (img_width, img_height))\n", " Im[:,:,1] = Im[:,:,0].copy()\n", " Im[:,:,2] = Im[:,:,0].copy()\n", - " panel['status'], panel['prob'] = classifier(Im)\n", + " panel['status'], panel['prob'] = classifier(base_model, recognizer_SVM, le, Im)\n", " else:\n", " print('problem with coords panel: ', string_key, '_', panel_key)\n", "\n", @@ -108,11 +162,428 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 83, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 83, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ - "panel" + "epsilon = 100\n", + "matrix_expand_bounds = [[-epsilon, -epsilon],[+epsilon, -epsilon], [+epsilon, +epsilon], [-epsilon, +epsilon]]\n", + "\n", + "\n", + "panel = string['panels']['29']\n", + "Points = Utils.gps2pixel(panel['points'], geot_T) + matrix_expand_bounds\n", + "plt.figure(figsize=(6, 6))\n", + "plt.imshow(GR_T.raster.data[0,Points[0][1] : Points[2][1], Points[0][0]: Points[2][0]],cmap = 'gray')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'id': 'Mesa_010',\n", + " 'points': array([[-70.1137603 , -18.88374416],\n", + " [-70.1137603 , -18.8841109 ],\n", + " [-70.11373707, -18.8841109 ],\n", + " [-70.11373707, -18.88374416]]),\n", + " 'panels': {'1': {'id': 1,\n", + " 'points': array([[-70.1137603 , -18.88374416],\n", + " [-70.1137603 , -18.88375319],\n", + " 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'prob': 0.90917031183596,\n", + " 'T': 0,\n", + " 'severidad': 'default'},\n", + " '37': {'id': 37,\n", + " 'points': array([[-70.1137603 , -18.88407416],\n", + " [-70.1137603 , -18.88408319],\n", + " [-70.11373852, -18.88408319],\n", + " [-70.11373852, -18.88407416]]),\n", + " 'status': '1-Falla',\n", + " 'prob': 0.8419277241921781,\n", + " 'T': 0,\n", + " 'severidad': 'default'},\n", + " '38': {'id': 38,\n", + " 'points': array([[-70.1137603 , -18.88408319],\n", + " [-70.1137603 , -18.88409253],\n", + " [-70.11373852, -18.88409253],\n", + " [-70.11373852, -18.88408319]]),\n", + " 'status': '1-Falla',\n", + " 'prob': 0.8482129635733254,\n", + " 'T': 0,\n", + " 'severidad': 'default'},\n", + " '39': {'id': 39,\n", + " 'points': array([[-70.1137603 , -18.88409253],\n", + " [-70.1137603 , -18.88410156],\n", + " [-70.11373852, -18.88410156],\n", + " [-70.11373852, -18.88409253]]),\n", + " 'status': '1-Falla',\n", + " 'prob': 0.9999999999999699,\n", + " 'T': 0,\n", + " 'severidad': 'default'},\n", + " '40': {'id': 40,\n", + " 'points': array([[-70.1137603 , -18.88410156],\n", + " [-70.1137603 , -18.88411027],\n", + " [-70.11373852, -18.88411027],\n", + " [-70.11373852, -18.88410156]]),\n", + " 'status': '1-Falla',\n", + " 'prob': 0.999999999978633,\n", + " 'T': 0,\n", + " 'severidad': 'default'}},\n", + " 'status': 'default',\n", + " 'T': 0}" + ] + }, + "execution_count": 79, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "string = L_strings_coord['10']\n", + "string" ] }, { @@ -150,6 +621,9 @@ " pmt.extendeddata.newdata(name= 'Mesa', value= string['id'])\n", " \n", "kml.save(path_kml_panel)\n", + "## Save List in coordinate latitud and longitude ###\n", + "with open(path_new_dict, 'wb') as handle:\n", + " pickle.dump(L_strings_coord, handle, protocol=pickle.HIGHEST_PROTOCOL)\n", "print('Listo')" ] }, @@ -169,22 +643,22 @@ }, { "cell_type": "code", - "execution_count": 95, + "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 95, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ "
" ] @@ -196,7 +670,7 @@ } ], "source": [ - "plt.imshow(Im.astype(int))" + "plt.imshow(GR_T.raster.data[0,Points[0][1] : Points[2][1], Points[0][0]: Points[2][0]].astype(int), cmap = 'gray')" ] }, { diff --git a/GPS_Panel/.ipynb_checkpoints/Enumeration_KML-checkpoint.ipynb b/GPS_Panel/.ipynb_checkpoints/Enumeration_KML-checkpoint.ipynb index 62a4eaa..5b49e88 100644 --- a/GPS_Panel/.ipynb_checkpoints/Enumeration_KML-checkpoint.ipynb +++ b/GPS_Panel/.ipynb_checkpoints/Enumeration_KML-checkpoint.ipynb @@ -2,9 +2,21 @@ "cells": [ { "cell_type": "code", - "execution_count": 6, + "execution_count": 1, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/dlsaavedra/anaconda3/envs/new/lib/python3.7/site-packages/pysal/explore/segregation/network/network.py:16: UserWarning: You need pandana and urbanaccess to work with segregation's network module\n", + "You can install them with `pip install urbanaccess pandana` or `conda install -c udst pandana urbanaccess`\n", + " \"You need pandana and urbanaccess to work with segregation's network module\\n\"\n", + "/home/dlsaavedra/anaconda3/envs/new/lib/python3.7/site-packages/pysal/model/spvcm/abstracts.py:10: UserWarning: The `dill` module is required to use the sqlite backend fully.\n", + " from .sqlite import head_to_sql, start_sql\n" + ] + } + ], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", @@ -67,16 +79,16 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "#path_T = \"Thermo.tif\"\n", "#path_String = \"Thermo_String_PV01.tif\"\n", "\n", - "path_T = \"Pampa/THERMAL_06.tif\"\n", - "path_String = \"Pampa/BP-B-5.tif\"\n", - "ZonaPV = 'BP-B-5'\n", + "path_T = \"Pampa/THERMAL_01.tif\"\n", + "path_String = \"Pampa/BP-A-1.tif\"\n", + "ZonaPV = 'BP-A-1'\n", "path_kml_panel = 'Pampa/KML/Paneles_' + ZonaPV +'.kml'\n", "path_kml_mesa ='Pampa/KML/Mesa_' + ZonaPV +'.kml'\n", "path_dict = 'Pampa/KML/Mesa_' + ZonaPV + '.pickle'\n", @@ -101,7 +113,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -168,7 +180,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -215,7 +227,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -229,7 +241,7 @@ }, { "data": { - "image/png": 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\n", 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\n", 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oZyyAIJnsL2gQNvxiHUhcJQsbsReQ0MJE7JzeWtwHIL5Lkva4RAOzY8K5bU684fVc9YKvIsy0L9uRKkFrqzwBaSn5N8k/m2ngYDPneLOmtK6OFZ8mL6XzMFNPacNwaVqtVfmqfQAEoG3gxKtfzbEv+Xz8lYeIEnO2n0zm74cO8ofI/lGOkjtlurHg6MHzNBJGE4keBYCWEsSqBKq6jr9TjvF5CBnm0Ho7pWPOvfVPmd92Ow/8yq8CcPTvfC6zm29KznYZctiL0ipf5rwym7Ycme0Q1bEha2Hh6lgt5anJXFWOqmxX6TL3wxzW0DTNewc+9Zkc+NRndoSy6rqKptHIDqmub5wgaSK+CWxOF2w2C5xEJrKmtK6O1VU2qimkCxbW+6aRp8QBaz4Q9Mq3qObIs0WuYwU0Oz4KJZ8YpXfN8lEEvI9MfcjgCWtK60pZGU0qZ3if0UUG3CERRWqAVcllyX6UaHbMS65jv89RsQKMRC9deiOoMI8NTpSFjuOrH8dvIfSnpIdziAFHtH+Y0DnFThOIjP8MHa3D9rFCC3UsyXJuJoNWIUbhzM6MiYvcvXMEd2g9Aq2ODRmF0HeMhzGenPtyouVmQxp80kBWTUUqSURY5qMqemg29I1sv0ofH4Jjezt1X7hy8yzTdSpjdUx83MNplmWjUb75zpiIGTyyzypMNfs3wRGd7AWp7TekwwLiSMfWbwVhZyfVeHH7tka7vGwUAHJNR6Wof+6xarQxFqKrQwDSp4PESCcNeohzD/cr01hM2fg0qoFGx9nFjAfjurzL6ljlx4jb/y/bRpvu54VBkfaR3uulMaPCLdp7bXGKUy0cf7vW2oleIXP73Fi798tAY+8Pt0E9moBzkei6YKFIb6GWT5TPoYLzMTnNwe35TArE1qEq+PUUtlo29Hm60SXFYFQ7wNT71Icpy0YjwTlNMcUKWMtMUWLsprIQHN5HYpQOrH4vYC9nW5PqV8BkTapf28eqjWIKu+W1L2UyCT2fB5Jv5PZxlEW0OLWuei/macqmq6i2nJfyHuTYYd5en9texyjs7k44fPA8i+DZ3W0g73/18dN84fVv51s+4U2P+ndxqW0UAHIuLcfdACRuyUrL7eO/2Pu+yoNFFXx2mqP2k6YhugQU+r7UnoKvOQqteX9bqe3ECWOwUQAI8miwxDlVFZqsiADwLvZGE59vqBs41IEEJlXh3AdP8KEfehN4YXbtcW76+s/rJv/oekDV6PIoBKiwM5+wWHhim7Kr4pSJi2s+0CqZrXzqYJ6NJM7FPdNU/X5ty5YTIsrmjcd46g/8AwA+8AO/yvn33sXWk68nRMG72F/ZQVm+a4TFwhN2fVJsLFySOItycA2g1bHF9pTQptyS6bssqqwkEFnE2X5abMieD81Aaftrm2gd0U1oD13J2fOzvDzXEi8KwfUi2eJI4MmjDwqyk0asU2Hz4nwZl9hGAaDmvgnqm6LxSnKdyjGuKa9DItl+GfwBEX/7be/i1Ot/neaaK9mdX4GcrMrjGy1W6Z/PiNimYt1IyoyZX5d3WSlzizRiSK3vGtI7UpSw8KSX6sbq51Il5RUO3vJ0Dv6bp3Pydb/E7h/+BQc+4RmDD6GV5iwBShvtwNVEJhsts40FBye7a0rrKtniSOz6gi0zYxTa88FbZjVv2kYwBXTRIk2T3j8wg62GuBEH7Ef2FtY084qfRqazlmNb5znU7K6d6FUynUVkEhPxy8hdlUmjXf6qBtIQTDUlthwM59/xbs78xpsBaK65gtmzbkaXtCoQn0EcBV1kqbNX3CQwmbZMfODgdBcnuh6BVtHELQFKlRMDuuIKLB+RilX85q1PupWtZ93a7ftw4vfG6phGmmnA+8ikCWz4Ba06wkdCn1xhGweAMnBSwtKEfZ2YT2oONJSbW0acEn2uqKq1GnGQwb+g5WtbXWgRZTZLo40TTZzofVF7+dloAFSrLCSjJTEVbVvfVCXxnTUT5jGc2NBRduy9LuqNZTRWO1yAJqYWPdm8aAlaNi4QdRxpyHEACLq/+vzcqBPOIs35xlt8p3RLkTz1FRoGVSBQekvzXg2hTKzX7EuV+I9RRkTQaQJw23oms3n5qG30nIuzi/I1XGobBYDcZAkTUNKU4ffh38Qc6Ckk+lyWt56iUrGGQcJUNNcNSqkTS1lYKxcDbKsWZNSSuAVoc5Hxuk/95WzjAFD2c+psuRPF+ZhTGXuP6W/bm7G35zG6btQqe2tfRVQd10xCybVpECRHwWuGQP05L3cbB4CsfFydRhDF+7inhG/Ncd6jQq3PmZOuKYy811+JSxipqkm+41y6dszHxSi0weFdLBST7bjulbFSloAS92xrnEmZl2fqzcKSUcFI9a4iy3eqjvQzZl/KKK8pHxZpmtijwoooMx/YauYcaHbxI1mJjQJA5S++mmqMH1Tf/CEXKGo3+ngSmWxILutGojT9lDBTyfyn66pKAbHJhYwu7JyyMWnZmsxpJHK42cGttfGrY97bTev+2l1eNvsMpBocMTvBBqiIlimwN1JFR6y22XmG5HsbjYwBIBm4NiI5iWw0LRt+QeMCEwmjiUSvSfUrYGtS/do+Zm0UU9gn/Mq/K33YnVBYgn4fwrxZPaWFys+xYKFZyI6y8aCHU2GIQsjU1mAE/CjFwZ5OUhb++MY5jk3P89SDd/O0jTv5gpvfcTG+jktqowCQ0MmGjZ9c32SAJi+hl5n5RzXAepRXF3u+UPGJSIt87wAytTW6HERMKzNz5hfRcXLnAOcWMzb9gi3XRaYvZxsFgGorNxn2OM/LRo9yHN3oYw64BQQLgXEfAAL4nCrxTSAujODvaJo0Mm7vThFRFmGLqzbPcufusUfz137MbBQAanyg8YFJXrJHFSY+7BlVLIjnqkpmESlJzhpUi5wItVSYF+Wu1/8R97/5L3naD3xl7/q14sM+Q4hC63yJQ9n5FgvPPPp1z9RVslT7oAOK3bRGIlE6CU8jsYAlHdeNRskPcuW5gc+y6HHecv4D9yStvcWDRKk6fRfzLtKGJunjsx9kIGuayDw0FxzNLicbxSrMEpbD0QbAkUadRrpRxn620dFGR4h9NYVNYU2VerjnTW/n2s95WmJquNjnzuefITvjbfCE6AjBlbhR4yJb0wVHts7TuMDMrau0roztLBomPjDxNn30V0tD1WmTneLa7EbX0uYScNQ5J992J1d/wbNRfp9FBl2IrhRutdUfokkOjW3PYPSRA9M5ByZztpo5R5rti/ulXCIbBYDO3H8AaWKqVCaaVKB0kWFnvKCi4dpfBwZV/Z8MptO/8y4mn/Is7nnwEIvWc9+pg5mI1g3gUrL/Stu6QgPRaZtCCi4y8y0Hm10mEjniz1+8L+QS2igA5B9sSrulsramk+4Ep4SKKFZsmEAtnB96hTN33v8gi9vfxYO/+lbmt53g/l94K4c/89MZ0quxpiuWwG8i7bTN8aiWJoOocYHDbg2glbE41azBot/eeyC72dt9bonGxx65WRwCx573ueWYe77/xzj0N59TEqVSa/IrIEkQaH2ZPicu0khg6lqum53i0HoEWh3TrYBMMido2bKgig2VY5bRUTPBvk4PygB4j/v2FwJtv3Z0NtdENDg0COo6X6rNSVmA82HCbmzWdI5VMpnErmluTR6zn9KV9QVKuRWrnJrqG5J4hhUBvy5Gvme6218PBLiye9umMneWKpnHht3YMFe/z/GXl40CQMTMSM5E92V9MKwIQpH/5P2LusKABH2Nu+XG9ovbDIDVqw/dOtrdhqaJOb7kcLQE3LpK60qZdJXqlxXbtHQCVFMXScka94uEGWEMkEHcx1ZY0B+HigKodOxJ3vxskhzpVl3Jgy3WI9DqWJLv6N7iGBlY3neswkQxTVTVKLK8TUE5fjkVFqvGWoNIrZqradIUmkhcOJyLzJqWqELjAlt+HIlUGAmAnFOaSagKTYHVbHZVvaCaUZiYg4Is9bqTDWsf1ua9EiNFnIhKJ62u9lWn7C4mLKYLGom00TORsKa0rpL5JhRKK+SgYOYlW9DQOEKm6QokhYb33Y0ckjN7GrGKP1040r2AZBqV0jUTTzoGl4WFjkV0bAK7sWGhfq1MXSWz6LL1tih8nXwzO45Q4j9DbqRTEebzmQqIhtFqEXpFxIcjElQOegZzDGmbke4jQquOhXrCONKQYwGQlptWc7xdTojWJX3rqqvEQc8c2VO7o38dv3cUSq/tc5iK1eTNmhUjfXLbRMK61cEqWc0UrOseNjmJCV3J3zQSgBeA2BMjDq0ezWoB4rBmdPe8ikGJ4r0DH5hO2iIqhASgDbdWZayErVUZj62NYyJe22Nmo5jCPumNLwE65WlHnwh74jjLnF9IVTOGtkzubMcbFygOKB3WXBdSWRfvI0c2d9icLDjQzLlido7j03M859B7+JJb3vaR/7IrZqMAEPSbuTlJ1eDN74iVz7LfCmpIMa1prT1pEJX6FSkruSTvqcBE59xDYkY2LkXEz4cp97cHH81f/zGzUQDIu05FARR66zKKa9phb4kVvwRYxone+fAp3vF1P83m46+AxvPUl/29sr/k1EiwEAKdwsOCmDU7caGORTvj7sXRR/+LeAxsFAByklsXVCAxYn1KH0Qc9Sqs40XXVo9ONeHeiXL0WTdxyzd9Qaa9Uq5nQkJwiAS8U0LsilIZkI3M70XZDQ1hJIHEUfwWNk2Eyv+ABIIaPKXggkQmLvRI865+v3rYPqf+9Hbe+eKf5cOv/2Mm1ZLcVBtN5mRPfQJRAWvsSPZJYJiSqHFppOnys1GMQFCpMPINNUCYRsyABOnmRRWIFg/ax7mWrBu7aoPn/Pd/iE4b/uxb38CVz76BrSddjaumSZ9HI7tuq8bLTiNWq0kB0vhxBBDNRgGgEB0zH4qYsC6ju5/+ykanMo0t2S+q4BSYpq9JgCs+9Umc/cD9bD7xmj3nryVDJhWq6yNGFWauZTc26249q2Sqwm7w+LwKGlYlc+oIsWv7ZHKdiBSwDUvd1X7S/NyCZiuVpHvwHXdx7Rc+qwcWsxpMKeNPKb6Q9nU0LoF8rY1fIXvw9Fapkzhs5+RcTKoIF8tIYE4u0NsOXYvL2k695S7u+dnfgabhwNNuJD7hSZw6PySTdWmPtvW0C0/M+jSA3bbhwGTO+TDh+HSbA273onwXl9pGAaD21LRTXRiHGRJN1WuiumaTrLZQI4SJDtj2lGOL3fIMrv62Tyz019MnB/vWHCBTc4T8ukk7nZ8uONekUezajdNsrQG0OiZRuk45Ct3dVzRk1qHdbMuolyLiUgSH0JHRCgizs02s2ItD6qNtg45EZD3CQqJzLILn3HzKIngmRwLTdb+w1THdCH1lBh03B9FexXnnUuNb621qpPleth06EKmgMQFOaxC5jodN3r/kpaOkEShKB9jsWC9ER5OJh5EAyE0D4vcCwTg5UX032FjhcRepGfXDWkGmwhDRxD6T6gEFQAVENT8okuTVQXp9PMyJn7nFaAKJowCQhqxn9jmSXKU0jNzVA4jk4WhJorVs0b3vp4M7qZCNZmXWCmlN5zxAJAafZUYJOFuTBRvNeEYfGAmA3KTrnJxcoL033qYzawklougw/6WDPhiY6LAbSUpnnyUFGnyT2hwkZ1vSvybim1BSGZr1YWOxcQDIRVwuNO6kc4SLoDBPV3V2vBYa1qa6JFufgYVoal9g4Br04UghhBSFFq+5YkjE+1hK4EWEnThZN1tZKbO8lO/AkSrHx8qp7q96uhs/nMaWXyJGlxzzOiRQTZE172gyCcSotNU+XeXYlItbt3taIbNpCbp2SxZUFOlTKobZ9qEpHUmsdsiTOJFecLC7/l4Fh7Ve6Aj3KXWy4VtmbjGajj2jAFAdfbbXVie6lL/LoLBUZuPDkt4Z6afukfskCyrl3ENlBtADi32OVOo3RcO9RBoX2JDx9I1fk+pXwNak+rV9zNooprBbf/nbOlJY7tDj87QBfXaiEc66ZEeyms885EHbe3VBTXtdT2WJzJ+KbDqBeeuJKkyblgPTBVuTOVMfeO5Vb+eo3+bvP+WPL8K3cWltFABqXCzOs4HH+D5pW3asVVJwrzKf6R11/WgZ+Dc+84aMfFbI9kiRSvfLBHdR5xAdMZzKvigAACAASURBVCZtfIo+p3ZPY/GBxgEg3wUSDTwWBOzViM5LtVpZamCQ6rkb8KsBTv7mOzjxW+9Ag3LzN30B0ysP9Uj1Uc1R3xsWMIKZ1aXe0Qln4sZF/U4ulY0CQNBJl+vX9qhTGY2LtNElCupACzZs0GKvd+87w5m3386t3/flZV9FSzHW9DOVk0nHp9eQuylWUegQHafaLRZ+HAWmRuFE13qwC+3j80g0nNrcPsCzx6m3fgBi5J3f9Bo+8KO/hYbYNWepQCoVWNvgCkd6WqUyIsJC/WiKbI4CQBMferIZU0q4DJqpD0wzsd5ANFRh1DTYSeZXGzAXD2yjbeDp3//38BsNp/7gL8s0aVYHKGeTNk2rwLQJ5dyQFLDrAlMrZhPX50ADBTz1zSuOdeymGFNo1KNYI7HjRAPNgSlHPvEGnCjHnnkjZ9/z4TJqad6nlg0JKRjpxBGisNs2ND4khUgG8Vh6po5iBFqma98vVVCPPKWDzkAfBvSUHUc+4Vq2338CEeXc++9l43FHOsBU56uva+dvo2PeetrgWUTHInh24jgSqTCSEWjoQNs26Md0HEpEipwnLc1t6uufM6grq7JDt1zNvbOGP33xa2kOb3LLF//V0v/LpjKf6SFmRbVRYkih7H+63eCkP/DofgmPkY0GQHsJY5RiUrttU0YMsxBdT9ZzoXMDPPlFnwGk0W4RkgvsZa/z7vKoszOfMG99avudc3VW8OFsmPHAYg2glbEHtjc7znwVjbYba+2f6ui0adqXlfGtwTgMMrbB96Q/RUemUuTNi+DY3pkSQhp9vI8sgsfJnIkbRwDRbBQAOn0y/TWL08wcrKLDWcJj/GXx2hHgl6krsqnJcgSc7wcWjaSvmonzYvzoqkbQjocgyDTiZunY0zszZFM56He5cnL2Yn0dl9RGASA5n/ub5httwAGQIHlVpKn9UyadFdkN9OU6ds5WUvsm0SLx6r1vch97y0GUJC2SKEgAPGiT/KgQXCalJXnzWhe2QqaboWumIqTeGZnWWkYaB+LjHi6zCQz3FAjfyGxDe6102jCnFfk+/7Qdg+SBLbeBimk0i9HlqTUyc+1oeqaOAkDNRuo/qnT5rNJEhcEUVh2X/JdE+pJyhkxDdfV+WSJWqVmlJ2QkjTwZnBqEOPfQSl8KZJ8PYXckS/lRAMhcGeNAu6IqzO+7vc5yERUWFn4GWh7FlvLssrID6NpAVW8Vp9zk1Or605wmher984OjiQWNAkBNEwitT2pT+iXlzJZ11+nerBzuOgAp3WikZAc5Ll+5ge0bu15kLoGpbtrSRse5MGUxEmnPKABUBH2ZhiHQk/V0LZ6WSNqjAw+CLhUT2v5F3TGYBqEPSo2uTJk6UfwsMJstSicfK3TlR+IDrTnRK2BrTvTaPmZtFFPYk3/+pfjcG8wNy/2aIHC/gOGA12zH7e1yKGVf6KREw+PTNXNxzXlKoWwemLM5XXDF1jm2mjnXbZ7miulZvvMZv3Ixvo5LaqMAkPUFq0WFRviqWzrV2fa68RzWgRB6Dm+9Sq/fq/VfJo+OsTpOsn4s92RdLDwTH9heTPNniGtO9CqZz5xoA02oRgNPppyWm5u503W6g8SXLll7o2bkdt19EOUWTtX5Uq5NSsM5W7vrJBBC6trc+I4yYn1Tx2CjABD0R5fedre8pZNVTw05TlMDwlvv03zs6be8n/t+8fcAmN91P9d9zedy/DlP7l1bAeds1OuuYeT+7po5tbGuE706JoNpSSAX/07oCLHfiMUs8Yj6WfVyk0kcoRDh6LNv5vCzbgHgfd/wSg4984n5+E4rVp/bWJCt+Lyd0oqhjY775uPokwEjAVBdVNxe1zIfVV/oHEOznhdhQNvonjtUFQfM7znJ5NgBmq1JJx9SAbryMTW9I1XzSJq1aeZtb/gFm37BQb9Opq6MGX3U9bZ1gLFRZUiEh47TXFNcVaUL9FWSnPt//8859teeUvwZKz7lhCLpmbeuyIVSlY5E0p81LROXyP2Hmh2ON+cu0rdxaW0UcaAEFs0ksm66MhsyBo0DDXWkud8vo97ftp3+o/dw/NNu6YGtVnaUc+RRx/tI03RVQOrPMZH20f8iHgMbBYDqm1+/Hu5T6D8qS0n3Uj2Gxy5OnoXGIwcPLO+rQe5T1gRmTeit8kIu85vk0Ion7vl8l6uNYgqrb8ZQXpM29p3b/RQbJgRc9u4Df/Aejn7ak5cWlxrq6FWl8KFVwTtXrjnz7ahoraMAEFTqVCjc52WjEOQlexXjuaCiNb9/zec9swQdyznyq5BHtBCl1EJMRRWEySQwbUKZOhtJydR1hbIVs1IkofJNJlnMV2vgS4eeXHhzWMoF6PlAVohBABs3vGhPGmT7GXgKmb/1HD98LtFYfcuGX+AksuV315HoVbShY2w3eJlmrF7yDwswuAqEqa9YVZCcShOftzWVAx0yKC01YioRyec6HyYsYpOKl4/ARgGgeevxzvWc53ZJMUxgj6zHRiDvYrX87k9/1h6qmEtFxLV6r3bS6+TqrEmrrS4HN4p1S7FRAOiBew8hjSI+lgxoUWaolO1iWjHRRCTDAn0pvxVjP6u+zPZ734pvtm0KWraLBo17G9LNXMuGWxRF7OVuowCQbPvEY5bMGIxJciOVtguyqGJIhnf0O/1Ypn0/Jzfvo16XB0H6RYM4sztLcaeJ9qattQ+0QqYz6z9AktxYt5y6YFilnkhzjySlBZokOBXwgE4rBpTBQjvGa2yk14fMzi1tGvkkgDZwfj5hc7ogIrTq2Y0NIdcIGoONAkAyi0WRampRjZLUpTaqGMk9g4y82bKv4jPPJ0inD4vpOM3Pxc7pFG2y+qKnEwKdgcwdzBMYzRG38natOs6GDY7485fq67moNgoAFUAYeBRK98K64ZyBqAaTkeXLSCUDsaDtT56WquOyyDA90jW7/hsO2gQcF1Nw0YkydS1BHdtxeim+mYtuowBQGXl0oOcSKimzdKCyqWdPZrUCT30Oq8Tq0ii0p0VmDjAW1atT1CsSYZ5prW10NBLZ9KnNwVimsLUqYwVsrcpY28esjWIKe+rrvoO2deiyTjquawUOlAixmVaxH82vuzfZk3kf6uaBovqQTG3VkJ34ucdttFx/9YNMfOCqzbMcn25zw+wBrpmc4p8+9c0f9e/+WNsoAOSc0jSRGPsy4mVN5UT6wUJ1nWo1RkFzzTLBgpF2LjpdfD6XAa7XM0wluVI5lBBbt6f+NLAOJK6SpVyT5EeXiigLq141sX7ey1QW6blDXSCGql+Y7O0EbfuHIHsEZ85HFJeA6xRax27wbNV02ZGAB0YCIDAgdMQx4+XErHfvAGNHdCNLN2LFIhS01ARA3J1z13/8BeLOArc144ZvfB5+6vFeCudnSMrXJuY24ZUYMZ9vO045EzYvzRdzkW1UTrSV3fVWI7GmrlZZ8fSaIkasK81Dt922bb/tvWw+5Xoe/50vYPPJ13PuT95bqKumiDXBYczhAu8j0sRcnaPr2RFUeGCxxd3zI4/V1/So2igA1ORK80MgmJXq9QPOcl3nueNGd8JCez193DF00SZKxvZ5msNp9BD6SVVrvelcnvqqAGddDTaqYzeOY/AfxW/ReJuujMeTRxykqCrMHHtXVhYlBkqt55qisXnDMe59z5184Ot+lObIAbZe8DeBzHzM5/A+jT6d1NmXimY1yLwom37Oll8rU1fGzN/x9Lk79Q2ubdilJ+ZW372t1Uj2wG+/jcPPfiJX/Z2/xolf+n1O/c6fcfRvfGK3ax7JWlyPrIamMMKs6rsBMHMts5GoMkYBIK1EgZIprHUnndqs7nO9pK4bx/WVq+mnoPiDadpyhw4Qtne7ZX5l1koqhBST0oWj2WqZ+bYUVZi6Fi+RiRsHgC6qDyQiN4rIb4vIu0XknSLydXn7cRH5TRF5T/55LG8XEfkhEXmviPyZiDzr4V2ni8/Uui7zcYzaGgcrpZrO6oSersxVq7Ojn3krD7753bz3JT/Ng7/7do58xjN6ZHorwmCjX6mVKImwBhm4+XwzadfFFR6mtcCLVfVPROQQ8FYR+U3gBcD/UNXvFZFvBr4Z+Cbgc4En58enAD+ef17QerIee105yA/r+CrYVy+7IzA9tMHNL31+jwIrYrp7N3Ckk5MeXZf5b9UxG4w4Y6G2XtTfQlXvVtU/yc/PAO8Grge+CPhvebf/Bnxxfv5FwH/XZH8AHBWRax/u9WpSvcC+4FkmDJRqyust6fNzCws0PtD4WKlhY0+d2uRKsSKaOUbCTpv+Tq3sTFwTyj5yE5EnAJ8E/CFwjareDQlkInJ13u164PbqsDvytrsveO78s67lM8lxnHqFZbYsDuxz5DrSFVwwK8U7CxG/X+2jrOAG0W3fRCST9dMUl/5eZ27BzK37hT1sE5GDwOuAr1fV0xfadcm2PcOIiLxQRN4iIm85MXhvmWCvjgMJnTIDOj/JLl72W/KogWLVPiZVw9/02arneTQK0bGInlY7hapfCuPLzy76CCQiExJ4flZVX5833yMi1+bR51rg3rz9DuDG6vAbgLuG51TVlwMvh8QHsqnBfBSVrlqZjUo1sOouPebzmC8zLK5go0oaRep6iVIcZJviQuxfQ6NDfEwy5+iYB0+rnu0we2Rf5graRQWQpOpNrwTerao/UL31BuAfAt+bf/5Ktf1fiMhrSM7zKZvqLmT3PXCoJD6N0tFFgYFKXSq1j5Lvd2i7kaF2qOvEaUlTZHNOmUwCMaZ82GzappFm4Qlt8m/CdsPk4Jw2pL7xO2GShIXqORvWbb8fjj0H+Crg7SLytrztJSTg/LyIfDVwG/Cl+b1fA54LvBfYBv7Rw7lIOLGRFBZSKSiKY9TJe1Q0US2Efj1xTfvYNhWIE0U9e7jTRdbTKLuTmHeG3Uk+eCHIwqFOcXNHO/O43C/sfDvhXDtloX69jH84pqpvZrlfA/A3l+yvwD//SK8j2ft1CrKQ7oIGiOLpSflfNElvCvknggs5e94ofselEc1a9lSABLKezJdj4yQdB1nS4zIgs0Nt0551bd5aVyhbHYuH26S+CILsOlxLB4xCeh8elN6X/LY40Ez4UZeFg11Gov9nIINTTpQ4006gmK/rdhxIV0XWlvlbbs5Rv/3ofxGPga1J9Stga1L92j5mbRRT2M0/911pqT736MIVRSnmE7Wdg2xTmqv8H5vtuvfZO2WRfJw4IflGE62cKbrnjm4F2KaeqdONBVsbqd3B1mTBM4/dwc0b9/K1H/+7F/eLuQQ2CgCZiU+U1KRr16RSFVLvUgMGJEc5Vq+hG4u1v71emSU5c+Y6N9qBx/b3KX0hTnPTXgHrm5Gj0W1MZLIdXTecWxnzTSiKitTwDTS4DB5FW+kVS0Bzm8s9Mmb6I5D0FR1qnQgFaGKn1NBcE9pr6vCcT1GrYGPsyv9GdaMJJo4CQJDppFaZPjg0dvqttBTXPogcaF1uoyKBWZNee61t4P5XvYZw5gzTJ97IsS99bgJPxYUWpdfQV3yKLTjfSYva4EpkeyzJ1FE40VaPuX64SUxdmn3MPUypfJXq4JK6r6Yk13///J++k8mN13LNi78GnS+Y33FnBzyLajstI5K9dk2XR4vRsbtoaOMovvJioxiBvO8nJo3cHiT5HaIxj0LSFVCw+NBAqbrM2vvuZ3rDteCU6ROuZf6B29h8yjV7Rq9CbHMRJ53K1fRou7sT5hvjiECbjeLPoW19YgXmB2SxYS5pJy45t9QPR/rZxO4xqR7Vvs11V7Lz3veBV3b/4n3ozja+CVnS08l/RBTnu5J54iw/lxzpOPe0wa35QKtmnbK0I4GVVbslUiWtntRqBUGZfnp1Fc2szpAKm8/6eHb/4r3c+x9fTnP1USbHtphMUom6EBxRrJ8GRSeWeocl9WqsCPvTJjAdCR8aRgKgoZS5iP5EWQSfdF4VJ7rUQTQla8XzKcCLeXpTRRq44gWfj/PKfa/4Jbae+aSe/t5ldMQyZRntI18Hkm/ku3K/6xqJK2Z1p8L0GnARp0LT5LrNwaWSzzkdb9Mb9GkbqkIkZdRRoX3gFCd+5OcRJxz5689gdtVhIBbmoZYCDBXPqBrBFHq1pp0oGyNhJI4GQJAT4ypEukZwpnNPFvvFM6Urz+tcd+PrAgwahemVB7n+O/5xoqkOGIjOxeJ3FUJ9bvSr0eVzZEDlUjIz165HoFWyQnwXxfUqcWR/SLRU7/CV71qXZTEaa4iuNOM1sli5jutIaEbPqPX2w+7PZqqCtg5cJzpcO9ErZI0Ppc+pFIfWltYhrc4A5/dpA2WqC1GiRkIeKdocibxQ8XGjxxrgnKOUgaH4ZYk3Ivn6u7FhJ65TGStjdYO5mpdsYkHvQtXHor/a8nkKm/o0pbTRoSLMS40g+g5zBsWyXvN1JTST9RBcYkLmHN289ZwPE66erKewlbEEmn7lsbTaoSt755JWfpplzZaXMhJ93e1HRGl8SGT76jpOlMbHpSAMUVjkUWix8MUv0uz7lEg30Ea/nsJWyWwKWj7V9Kedmjxvz0N0hPyeTV9mw2Z2Q/DYNtu3aXLv1F1HWLjk+xhtJGfjz4fJuk70Ktm8bfZ0I6xhY+2YAlKmOxMHFrWo9qelukbQMqulQZBBGB3OpwZzi4UHXCoyBQlIkpvOubDWha2S7e42LPIIZJFg1ZziMF/GRSaTJEte5sMMzVXv1/upDldg/e1z9bStp91t0IVDpikjH0LK1m9OFxxs5qNpezkKAMU7tggeUFhMtBDiS/OUTJJfNBGZxF7lMLN9Uxq1aRWhBqSJJc8m+XwxCLrjSxsEbR2hJcmLJslZbyQQRlJcYU2qXwFbk+rX9jFro5jCbvqv39/foCQ1ak1PzXmpIiiMQq9cc814FdJ7tq1Su/b0YpUGDAc6SVFv69xT/jwzyX/rqnP81etv4+rZGQD+wzN/8dH49R9TGwWAOiZh5ce4TB6zDoJAJrHa03wse2mttWn2pezlsMmcnct2McI9QCvI3CFB0EliJToUT1wX2VwpGzZ+s21KVk/kbTka3ANbNnFdtLgkXC+Aq57Z+aD0DxNjJDoggMyF3fMT7tk5VGomjsHGASCrllBNVWla6Uam0jPD2mAWxmA6hbi8kqoAZHSM9uQpTvzgT7G4615u/OGXIt7zwM//P8w/eAeTx1/P8ed/YV8jFnIIIOYRy1NaYe6GJj38OL76cTjRRdxXUVcbLbKatNSOuCbiJgGZpOfiNW1rOhqqayJuGnDTgJ+m582xKdd8y1czu/lG8Mr89juJi12uecnXQGzZve229BmyPr+YSpn+1HcjTkRGU2h8HADymmIyWbdV5DU2GtEPHIpLkh+XRx275XX1VrHXTvGbDc3hjaLg2H3/h9i49RbEKxtPv5n5+2+jdEc0PjWkOJDTzqmXlKwNDzknXj42CgAVXo+Bp/rJwNcwkphmFykdl2oZOt89pO6r0bsYxO3z+M1ZYjVubRDPbyfwSv4sThNJv0yhoFNlMms5Mt3h6OT8nqqtl6uNYhyVJvZoF2XxdQFHVYROsVFVJDOzdIgRm40WL05xBzaI51N9Hz2/g9vazLLq/PdoIBJQtfOkcx6c7HLQ747GiR7HCOS0N5KUNgWSifOmWc/SY+e1k/04a1JXnS9PXa5631WhgtlTbmTn3e8FgfPvfB+zW1JZRxMzppOQRr+mEzY6F1ObA9eOhhM9CgC5DJ7axHXA8j6Wh01Rvok9QeKyqqyljmJoueu7XsXitru59z+8CokBmTR8+Dv/K+Jg45YbEJcFjvV8Z8D0/dEm7lu07fKzUUxhQz9HAM3OsJWYG5pl0jtFxZLTihIjSOO57t+9oJDkATY+7oZyLQsYiUutvs23KklZBWLWkOUjxpJMHQeAslmsx9o0SZmG+jzp4TFmQw5QXKZjr1Zoex30vIuR783/qUacqWs54s8TRjIKjQZAJtFJvJy0zSQ7nYO9l8ZRW6xqRZcVmkANgCF4agBqTByhjvWYHXpVNKYRaSIRJ5HFmlS/OtY0saKzAphCoz8CmdUynPq1WU04q2tFR2KJehtw6ulR87TlVJOgsAaq6c8kEtWtOdGrZEmLTg9Ew9aX9ZhT8qj7yHR6smSpRzJHjN01h2bXTcWuMohiNyICtOpHM33BSAD0cGx4u/0APEGlU5SqLB2dOlBdOIZTVK1kUOfWlzEKu6FhMZI0BowEQD73jR9yl2v/ZAiYZZaAIWX1tff9Djx7pr0ePTY/9vu8EmG9Clsd8y6iuc2lyXXq5ip1rovB8+Lr0DnHTpToqkodA6fbmutS3t/7mZJCNQM7R6Wds1xbcqTHYKMAkJWNs/voc1WO0sWHruWkacigU7GaNh46sPglsp7SsbAqpKmZlrhsqjPoJm5Q2nc3enbjZDTFFdak+hUwWZPq1/axaqOYwm7+/v+EEd7V6BNV4xPropOSm5ZkTf5O4Q7VCVXRUiCzFxKo4j+WR6tTFst8pRhc+rnrcbPArTfezbOP3saRZpt//bTfuojfyqWxUQCo2U5LHnWdUkLy0tnMAtH14kddypKX3er36Lap11RgrDrlwmUBY68ksHbn8VWqQwUWDvVKG1MQcV1ofIVs96pQEeY1U0lBctWDOOm2UQ1GRCm9xsq2bMWHbim0VLHWCaKokwJGO4cFlyUD1R4AEqA9uryn6+VsowCQboaspqCbtoaaLx1MMdW+RIoMuujJqkr17elT3Pvyn2T+4Xt4wvd8N+HMWe555U8yv+cenvDdL8PhE30kkEEqpbBmOke6bhv3TnOXu43DiV64RGavb47xcJr8mMb0mFhdaO2kOLVlHwqyuMMr7vAmV3/dC5k98fHEmSLHNrn6X//T9HorEg5E2oORxSFlfjQyPx7S42hkcVAJG6khHS6pMs6G2ToXtpI2BISQucodyd6kOmmeyRujlO49vbCG4XHa4Dab4pDLtMF5Xxz37rpVoLIu+Ru1qDXa6JjHZl0faKXMKb1kV8pIYN12Us+KBA4ZTmVaacFqcJm4MNNY0/NMUXWuI+w3MdEflQISCdJV8AiUpr+Q2JOL6EfTM2McAKqW6XUXnaGJrdDQXvpBSgX77CxlR9zOWVe0l9InLJ/ARrgg1dSnxWFXJI1AKuBSOb1Jrtk4BhsFgAqR3bg6VTnetIPuSWz2c1k2pe2TeS/xIbJkqCPOWzyJKB2YVLqpMKSi5a7N+TBRGgmjSWWMYxy11ZQVjgpSqK3OZUJ9E5Y+nDVMyWLD7pHUG+IVYsuHv+eVhVQ//8Bt3PN9/demibdmdMV5z4689aC3ZfxaF7ZC5pqOKWgmUDrnDBmIvelL0uqoZhEqHR1DRJGZcMO3vaBzwIHNb/1H5RypMlnsNWipq3+o1yxU6+pUj0WZMQoAeR/RKL2Ogba94zVDUU9UQLMGKYlAb5xqG8HoHa951aYqfRRGV/xo0RyDGuCjzGjR0apfFxpfJXNOCx95aMvkOmm75mMpBTOhA4/tYwCybQa0+ryRiOC6/Xr+Vx60ct/WdSR6Bc0SmsOpqn5/mfWpq2Vreb9fed62xaVAJRPuVaUXz1RJYe36E1iRqTHYKAAE3XQD3Whhigwjkg3NCGLLLOwTpzHVR23WL8y09FIrMlzKlWiTakZPfBgNGxFGAqCHIrkP9+2Kjaebvcx6cclBOWBrrGI6Mms6p0pRZJTPlHtvYG03ScqMdSpjhWz/NkuUTj1g4Mm+zz6jkpmXbsldRrbBNespszvXEkBq9YBR1QcaBYCGnXKgkynbKLHsmIcyA1vjUwso6yWWzq+Vs12fM5YeY1aDKH2QVJcoZnXqOg60wuZcF2UZynBcWVl1U9kyMNVto1L3nnRMG3yiHkUpI48FLFPcqGMnhswQ0JzGSOd17MZmPYWtmvXiNnTdeCzO430HpBo86di9U4qTDkR1yKcGz1CEaN0LrY+qqiNaxiJHtwHOhwnn2nEwEteqjBUwWasy1vaxaqOYwj7+9d9e+SP992y6cS7lxRoXH5YDDX3FhZnFjuoz2JRZlviVoLFtPW3rUvunKFx51RmefOwE126c4j8/6+cf+S+9IjYKAG2fONCVkcucZIwpaKkFZz5QrmUoiZYxXL3VFTaWWZ3qqI9JP60teJb0ZPDG6NDgsNqN83XLy9Wy6QmP2m9Scb3K4CGVnEcgNlrkP23FG+v214ec3E0SVPa1EzSxl9TV4FLPjIVDpxHvIlvNOPpkwEgAFKd08buKF2ZZB7fIAMqJTR8zZSPSdezpjSr90ac9fYq7f/qVzE/cw83f+jJ277yTE7/+yyCOjetv5KrnflERNMaGriq9AFFwWXXUHlUmLnLV9CybfhxVWkcBoPboIChnfBwlpSoC4Ou3cwoj0mnDhm5RlVWPs02u/pf/jHtf+VO0BxSuPcrjXvQiXDPh3lf/DOfvv5vZNdcmpqtJhOx4zbxoAVl0/tFYGImjAFBhJErlB1nLSVGYkHwiu7HkLHlId1hrsC07/bRBaNIIs6HIwQPpEgR05giHlcWx0LWFChQOtARBFmkUQmC3bbhn9zCn282L931cQhsHgGwEqaODRjHN/okYLydI51w7OvUFRr1Ith+YiKTOOwLzO+8inj3H5LprOuYh5NGuOldLGRXb4HhwvsmDrAG0Olb7HDWhyzjNFRV1WJq3HDdkEO6Z09I+OknADNvbnPyFX+bKf/YVnexHpX99k1kHSV0SK8pJMxJKxzgAZGYAspfW6kmyJgxK1Q1I5Hv2Wa73gFBOqOAV1Zb7f/LnOPplz8VfcTDtHDMdMVZAzY61NimtopPItAlsNXOm67bfK2RliZ4TYnbzH4I1UTecu5BpG7j3P72Kxe13c+9/eSUbT3ki8w/ewYOv+zUAjj7vbzN70k17wUOa1uIUxANN0oU1EtersJWy4bS0BDwlQm3Sn9z6UvajqNYj2cRxzTd/de/to8/7G719i3iQKoCZr5GmYEn6iAAAIABJREFUPQqhbEw2CgA5KzRu4r5sNn3VNaOLbMci0+zj7+zHVFy25LddJ1ZEOk1lGqrnuQ+LF6UZyfQFIwGQeEWssHdF8nKl9VO17zKwZKt1X0ud7bJfxVQ0YEZX0h9pxWfTaQZSrl3kJBX0nIwERKMAkJWb6wsGO13YhWryDGtLPxS7xRSvZnUbBEfXzSf1KYvZaXdom/T3i+hYRM90zUhcHWua0KsyD920Vas1YC9ADAC1oBDYN5laa8TScR0LIAKdNj6HpQSijWw5U99qKvEyBhvFb1Fru4Y3d6/DstesQr3t2yfJL9t/7+sEmHw8dA568Kn6x5L+rWOwUQDIrFOR7j9l1dSLIUgMCBdqQgf0Rjo7F7gSyY7RKt+TQWNr+ocRM7jMbHQAWhbY2a/HhdBxp0W6HmH7tYECA05/hDI1hjWoG46E2AoxJFJ9VBmNtGcUAKpHk/rm2Yg07BdmpqSqqaVixsNYge133aROjViPsa7dpeQKaIBLubA2uh474HK2Nal+BUzWpPq1fazaKKawW3/528o0FPJyXgQmPvR0YHHPCq3v55gPY1Oek9S1x+c+qKHq2hzzMt2OL1NTPrfxoRfzhtA6dO7AK9dcc4qPP34Pxyfn1qT6VTFTWixCcixErAld9k+yO1Lf8OXL+wQc75RF61O5+uz0JrVFf4lf4jv0BYZmRty3ZnjiIxtNy6ZfrJOpq2RBBY2Otk0Aci7SBkfIuvh520mQbeUF3YprWFcoRtiY9m+wquSyLRQgWd+xWDntnXWxKXGUyrFjWoHBSAC0c35apg1xiuQljgxWX8NOy8NYUD2F7S66r6Y9eZo7XvZq5nec4ON+7iXM7zzB3T/2RsQL08cd59p/+YWYO2kFqOzz1KYxgaeNI1mCMRIAxTu2gG4EsD/wmFMJva46JdHZve5peiyUVFWgV/Vc9eIXcuKHf5rtM1M4fD3XfNuLEIETP/46Hviz+5k96QY0dK0wteJfEwXZdehGFyrwa0bi6phb0DU5UbrGKYaLuqXTAGR13NHuaT3DpN1TQUy365jcNkMan8r2CrjdGRs7V9HcPku8oIZSbJOa27aAxbHk5Fu1+jHYKAC0OB66TjtRUpsnSz0pSRNWeokNnOc6JVG1gzIxYu1zq1fCRgoannvnOzj5pjcxufIq5NABou+Ol3wuzdskgGuTOiPElEw9u+4XtkI2idQ9L2rSV9F/QQZFlYKok60GtPzcprxo/lJM/cHiLKLOsfGsW7nuWbdy8hd/ibPvfwdbz3hG7hOmXV5WSMLCucA8bY/Rca6dDspuXr42DgBBp4jYs1lT0aeh76PslfHUPq8BsHaEbdm+aGHqE011cwYbk1SNnu6copKuDbnrYareai3J14XGV8mG90L625QKOMv2tX32MQ2BEz/8ShZ33s29P/4TzG5+IjvveR+I0lxzJRtPvwWVWHnv9Eax0orTKY1PqowDfhz6+HEAyLxWN0iDy54n/fdMfNg715JsfuO4+l+/MPk3MY0sR/xndeeQ/CGSXBVc2genaC5IryH5UBuTlqOT8xybbH90v/OK2DgAlInr1CMNdCORiQvrpXW+8XuVElnqXPcLgxw9zF14lrNG9oLYa5I5uzQ9igrztqFVT9BxpCFHASDTd+2p21OXWRlSVJ3u6a1RjqunQIsFuI5otkeM2IslFe8d8Yri0Jia9BJhZ9Hw4HyTZl1cYYXMuMwq9FQYde5rCIpeXqzbvztnnd4YMBT3AV4XAqgCk3majLMIPhWu2m6nnG/WLS9Xxww0S0Ygo5Uuk/0MY0J9/JhDrEunK1kyA2msQKcZoC4v7Z0gs8hs0hIRdteBxNUxqRzZeqpyTkvPMLB6id170AFlD6/OemW4fkm7ocqj5NtUUksDUjJWMZBpDmRqXoVFNvyCyTqVsTqWhIXpxsbM3RDAN4GmiVXWXfriP+3A0PUEs6mnWpbXqQ36SdquxmJXV9HhUJdjQB4kpOunTorCgWbOocnOo/49PBY2DgBh3BvF51WUCDRNIoOBBaM7JNSFybttfX+nLrZZT33LhIW1qcRuf5UUzc5R6aiptMtYKpStOdErYLLmRK/tY9VGMYXd8tqX9l67vPpqmtSfvZbt1P0zLiT5gY6murwrz16r+6+W58ElTnQQ/DRy5bEzPOXYvRyfbvNDz3rNI/6dV8VGAaBha0oDRS0mFFEcCRRBulz4BVOaAwe7u8Z+Aciu3fgehaymEi+QSrystfErZlYhHjrANBWQTGFRVKgXUJ9CR2+tKULQMTWWWSmyEBOYoCLVS+pL711kEf2aULZKNpmEAooCjCX7mQpVRcroMpT61KPGsCcG7J8Ggw6MKtJrzhu9IlHLCNSqY7sdRyR6FE60y6PNsI2liOKdPbolvT23991g5CojmA80LhJPnuZ9/+oneNfzXkbDIm33gZNv+D0+8C2vKq/tvD734PA5iOly6kRz18N2n4a+l6ON4jcx3ZY5zLXjDJQOOtaJuRDb881ufGDadI/GRxof87SnTI7MuOVlz2fr467vrrloOf+Be5d+HrdsWsy5Orv2mpG4Qra729D6/siTHsnPGKYi6n3KdrpKHSW2nIEproGNDVSF3cUEp8LJN/1vDn3mJ3HiNb/NvG3K/mZ139RoBRaAqU8rw41mLSxcGWvv32RRR4TrrDt03XRqy9n5Qumw95cs200UGIJj+8wUDcLp/30HV37qZxLb3+Xsg0uqzmclKoAuHLSuFABd58JWzGYnPOq0TybMAFGBpVkDy315+l6xwnCNX1Jiu47JHTPO/MlbOPzkZzO7Y4rsCtM7O4fYugLVJH3DZpgp2/MJ89jg19Lm1bHFwditr2uZjg0qF/gte1IfXd65p9drzMP85Al277qTU3/8+8xP3MMDf/j/ceQ5/0faN6/OJdIBswXXgrrESNxpJ4/4d101GwWAwuGQWIJ5ViiNUh6OnyoDdUZNe82mMXDvj76C+d13cfdPvZxjn/e5HP2SzwPg7h/8EQ5+9nMIFg+wBi/2WYJ0qpA8hY1FkQEjARBQkduXKCz2K2YQK7CRny8BnTSeq7/+hb19Yw4JXPNNX9spMnIVsh4jUdJ1NOvKRJRGwrrZykrZcOoKklmA1ahQh5CNdOboyXEU7QIbtR9kwHSxG+kG9FgwQn33ngQpuyRFR/eR3RpAK2TmxxSnNwOhWSJ2V3IvC7vL2s9XLBusKo51AmWOZBvTEDpVSKSoMbRJ14mxOyxGYSdMSprlcrdxAMhGGAOSket9bsVdqygGzrbWuYnBSLa82KZ0ejLfKTu0dXn0GbAYRVPBhVZQD7NJy9Hp+eXBxsvQxgGgaprpbZYOWCUzb2rRmGmuUEakFP/pVmRLrZCqM0CtM092kDXSjU4G5ty1B6fMJi3Hp9ss1rqw1TFpUk+KwmvG1Bj5/apnfDnGgZiIEBIwqgy9Dqe9IaCsmV0JYNqyK4NFtfzUSc7Q53TK6XYclTlgJAByjXYjihU0kK4JS7SRJlsaaDpSmW3rEeyr/EcCY6W+UNtmidK0wVIWBYD1LOWSE64q3Hv+0HoKWyUT0aR+0P42lzlCEgfSHOiNKDqozCEMRqveibUHSMlpDlVwqtBI59Bn/0qrGFEbHEEdbiSk+nEAKFdTVUjOc95mCoqm2acrIXQleXuOdr/H2LBtwfBMYst4pPQoi+rLCk28piBiEM7vTnAHlY2RpDLWqowVMFmrMtb2sWqjmMI+7hf//R7OT622iBUDsBDs3aCP6gVqNw8H6R51Np+r3ldVaBe+7BNah7YOccrW4R2OH0i1gd782f/hkf3CK2SjAFDNP+5vN4D0yWZD27+tk70/fK8GVaoZVO9jmvwiCVKX8mF0TMh1JHqFTFXwfjmIbITYQxKz96v9oFt5X2hEMosl9uR6I55zEefSMixGwTWasvWmnRdd14leNduv6nypYD/QiJnVRPx6Wqpb4i7uP8Nt3/Uadm8/wce/9ptp7zvLB7/xFUyvvwppPDd++1ftER12fVyr5nTRWiXIukLZqlmdbO8a4aYttb/jBuAZKlMLAGpZzqFNnvCdX8lt3/ML+bjIwWc+ieu+/kvsiuXYEshkydQYhPnuhJ224eB0HEU2x/FnQB88hQxPUoGaz9GY5CZHkJPM2ZWRwo6vZT5RBTdtcAe2ykUEOPf2D/Khf/uTPPjG38synlh6wpvSY+IDzsUUk8oJ2Mm05fB0d13eZdXMZD11ONq0XxPXl/mYtCbEbjVVd95JmjBLjYQkh44uJWWB6RUHeOr//SJk0vDB734tB57xRKY3PS6lMlxE8meJQz8qJ1MPTXfYasYxAo0CQE2T0gJKf8neRocA53f9kjpAnYMtorSxG71cHq1SfSDXk/qE6FCZpKKZATY/6amced/9HLzmxhzB9uXckvk/MfhE9wipW0/j4rpf2CrZmZMHEB/3Vl21RGluA7XHqk17kp+2BK9SHGHhOPfABjpvcZupucrZt9/Jof/zOSxOzbA60unwTOnQxEx0i3T+xaKhjW40LZ9GAaDp3UnloEbhGGJF9nle7Tr0d2tKs7aBu1/1Eyzu+DD3fe+r2LzpSZz783ch3rNx0xM5vPUkuEfKSVTI2ffuIn4uxInSLjxt9Oyuq3OsjklbUUyhD6CabGbZcakAI32ucjlMKhA5z3Vf/TW994/9rc8px0cA1Y5Ln48t3Xryds2kxVYd7XoZvzq2OBJ7XXhQKbosNR6zkcJsvwFJbKmcvaKl7l+SI/+MBmS6qqyk6UsWUve7G5WNAkBxFvs3MlL1CNOu5VNFcS1E+qpyxkPaHh5Hdf48bQF9FYhWI1x2s8ZUnWMUAOpZBk3plpPJXgx9Vlfd2Eg3Su1zzlrxYa2cinwaRZBOoFgBS11SZ8RpUrUWnD+MVMnlYOMAUKaX9jxf2+a1azhn7+XVlU17hSK2DEAZDPXo04GnW2ktO1RVEZ/DA0ZUFB1NIhVGA6BqyqjN2aNPSUUF2m5/rXViQwfcjhmaNfK18xlDtRcKMP41qJey7yJ4thlHhbJxAMismkIQoMl1EysnWs3v8QwAZ0ulapOrzte7zv/P3pvH25ZV9b3fMedae5/m9k3VraJaoIoCCmlEEEREKWMv+tQYMSr2TSRqPsbmg3mKweaZGJWIEh5EReyQ8B5ESEwMnRrl2aB0BVTf163m1u3OPfvsveYc74/ZrLnW2acKk7q39l21x+ezP2c3a619zt7jjDnmnL+GaK+QEjfK5jnZfrANqiHaBMsDo8LJ6XgJql+oEEJFKBppIDMnEj9Mi0NKdmp2+in8U/N1O++TNk3L+7EDSrnXAeDT8R0TB+rD/txQhrFhJFDcqJRkLJd2QxN3KyVPkQAhaVLCxOTJO7J90NCcaiFxuyJoB4dTU6NeVrLoP69VmM5DxAMNJIGWoPoFCFmC6pfxeI1BDGFX/PbPdjZL0/0ss2t8xPy055QWBvm5HRb4wkyqO6xlcH7SQVTBu/nney/4jQq8sHJokycdfoBd9RZvfeEb/mF/6ALGIBKodCaE+dsFof8pX+k+VqXjA9bZ5mDb7Dw25kVTXaASw/UkH5tmgOIEFzWDhiLze06GMBGxIvIhEfmj+PhKEfmgiNwgIn8gIqP4/Dg+vjG+fsWnc31rw45lQhqG5tbPxTqXtJ4S6toH2yOteIKxHlu5QJWOyMP50i/EqX13X06TbJ4PeKUtVzFxg/jfPWc90A8A1xeP/y/gl1T1KuAh4Nvj898OPKSqTwZ+KR73iGErH7wy4hceHgel+HYY697aZGrpP4EK3d7Sse6hk9z+I6/npm/8aUQbxCinPvB33P2vf4M7f/I3aI6dCOeY4r1isgFtAsWYOcvEDUNo86wnkIhcAnwZ8Mb4WIAvAN4WD/kt4Kvi/ZfFx8TXXxqPf4T36CeI7/Q//Vv3+PT89iRLYXatcslPfgsrV10CgDt2gsn1t3DpT72Cy1/zLYwP7+4gHsvETU6KGNBaqaqAlR7KOtC5qEC/DPwI7Y7UQeC4qibmzJ1A8hB4AnAHQHz9RDz+EWObZ3zBkLAJ7B5vZs5QNj/JQiLUq5bR3nEYJo2y+eEbQD13vvo3OfrGd4MPZi+p6qXEMUY7gHpiVRvbZjDiCmc1gUTky4H7VPVvyqfnHLrT2m/5Wnnd7xKRvxaRv76/83w7LEnBkCh7H2ipPVIkUzKpS0PXvAomgLWKO3kaGsflP/3NmJWK03/1CUTaylNy0EyhHouGGVklfplAn2Z8DvCVInIr8PuEoeuXgX0ikrrIS4C74/07gUsB4ut7gWP9i6rqG1T1uar63MO0vUpbUTy2SJhHCoFccUzRfIf32p7TZm2F9WsvxxjPrmdcydYdD+z4XpL2zZSMlzbiB2N1cFYTSFV/XFUvUdUrgH8CvEdVvxF4L/C18bBvAd4R778zPia+/h79NJfK2xlX90tPdk8d1mrkjAlFNaI3yS9mbvSeX33KpWzechTvDWduPoo9fCCs9XihaSxNY/HeMJtWQWTBRaSijU276GA2Ux+rlegfBf6FiNxI6HHeFJ9/E3AwPv8vgB/7dC6WkiYNQQAucrkaF25lQmRPL1GcSuulGomGzoVFR+8F5wzNlnLLT7yFya1Hue2n3oLb8lCPuPVVv8XmDfew/rynx3OEpjFMt+qcPM2WxU8qaCR3gY23S0z0PzRU9X3A++L9m4HnzTlmAnzdP/Tas5ndtoosvVlOOVVPCZd24cuKletCsVKtXjj8L7+z+EWFPV/zxHDfC9NNYDPcx0nARqf3bcJj8eBHgZUxXVpeLlY096+GIaLqAccgrAA3EX1Y4KEzTnqnkSQB8+MEqs8Zk/hcZyRKDIzEB/PpFtaBnELTGJw3S6X6RYrRMRssneahEgnPpxFDS9xQjB3hycX18ve9faG5vb6ATyjIgs6TsUdFIg6liR5EAjVrsYGOYt9SfFHipWPpVFo39f0rtkU/sdJMqjzHhPf1FTljUuVSJfhleBAfQW2FRtAQYhAJ5NZdZEBo90tWQWIjs63KpPLQr0amm4D9UKOB61VUl2BapxFg317Xxyl86oHwgBc8shzCFi20XLDLc/Kei2H5IPUxJQxWdsyr4rzu+2n5nrRVEC8huSRWOXm4i56/MZgEyiHdPkdKwqBqp7JkLj1kcqCmfas+FQgSjoNMRkzPp3PSsJTYGvF1r4QeTcOxBsUvp/ELGiX7VKVHee79hNZdMFajlHyZbSptYoTZlGbWK/QqX3z/rjA5iKG1woy/z3IdaJEiDRvlcnKi3ZTDlNKyJNKXnCjQFI9FW5/V1IBrl3m6I+XHaNsHQaD6xARSIQD/CQudQ4hhJFBdDE25J4kwivJ78kGSd1tHXTbN6aU0DEpRttJ5aXeddmGyY2CXrikKmJZabeKGa9yrG0IsWRkLELJkZSzj8RqDGMKufMvPAG1/AVH/ubcLr9q68vjelD7PuoSuHF6xJ5aZrpDZGM6ZrjRMMRQaEwiHvjHomfBRr1+wwdMuuJfL147xi8/+w//Nv/yxj0EkULKxzKu7Bda5m0BhRqUqwdsLQoJA5MpLThAg0pZpp/qQcc9JQLNvXJePFcVWLlhJSeLkt7/nciV6gSKJhafKkUBl8z2/0gZXWVmSy2HvS43Pu2MnuecX3sLsrvt54ptfxeZHbuTBt/85CszufoAD3/oydn3W0zrJGhReBS00qNPv0UTl1yHEIBJIohdGy7Lw26pPilaIvL0/L7xvZ1V2zwpP+D9fwT3/9vcQUdaffRW7nvNkmsZyx4+/gdVrnwRQkAy771euO/mo0DrTJZxjYSKZqXRgrXOGCZ+GKAn6zzJn06utSm1ymZUKVqoIfU2vQ3P/g9i9u7BrI4TwvuWw1nLE0qJku4i4lPldoEis0xJQX5qoBPxNXLfpnMO2CtQOe9tNWBIrI4HTNj74cXZ99jV5CE1VS0zwqvfehD03q3mjNx3jB7IxNphpfImJ9t50VnqV7qxLi+PnXadNxPZ57TXLxng2/uaT7PvsJ2OzZ3yY5WVcdpmccWvFO0PjzRKRuEiRhq4Ohbl4PZH4NOKeO1UoJV7vmmXCzFtr9cdPYWpLtWeNpimm+On3MJ668ngvzLaqdhef7VXvfI5BVKAOxjlGGsKSiUpKnrLr6fdIHfJhpPgAaOO489W/ydatR7n91b/N1g13cPKDn2T9s66haSyqrV9HGkITTywzXOPenDGe2jpqs7T9XphIX1rqcDLrtPgyk5tPGsr6yVNWJZGo/UxYNzIrwpWv+aed43Zdc3FgdHgfKT2GZmYzR18jzaedzbW/q1dhcyDc+EEkUJKL016jDNDnd9kdmuedwkRP+pR4aQhK6WqNRzUkT0oOcYJETaJmVuGnFrYM4kMPNJRFRBhIAk1n1bameIbd5pXadWnuJlE/0UoFj2SbWdpXOmfzNVMFUgW/GYSksMoMkNMV1USyer7fK6xVUw7UG2f5Uzk3MYgEmpwYB+X5uJDXgV1AttzODbOXjnrq3OjDOyBvkagrFgddnG0ZRWYm46ntpsEUnnLiBLcapGdGxjE2pSvr+RuDSKD6/no7cKxcz4t45xL/LG77zkU/Ami+d538InlXRBR8FYiDid6jVnEr7XuKC6/XaRN2GPOXYSRQslXKOVRUjzxTL778kuy3kx5I4pllJGF6Lpm52HTTfD+xQNSEhMoC5xLO1ar1l1/uhS1QNHscMg0lR1ygE0PEN6fhRjMyNVB3fPvlbpNOVJCoNZ0w1Urc9U/NdBUSRVOS1do5nli9EpUnhbV+MJQeGEgCYRUdAYSEccUir9GCl5WgpTHEy/ZhTLs/JSpr5JfTqnNy8InEwsxALdkZQlgOiNN6tUptHWPjqGW5DrRYkZl+tM1NqhaW8GWWvZCS96dypFXq3tDWsll1O5W50sDJT71PD4ed+fqRmZoWJ5c90CJFXlrW8N9vpe1VCjhFp+0wLTKovU6EhaTjU1KkpCvu+7pXiaStTh3Tl9yPxU1UH+wuN5rxo/THP7axBNUvQMgSVL+Mx2sMYgi74rd+rrtjnhYKo8ACUMzE2llZfr4M7TbWyYyuHdbiHVs8NtoxoBNb7Mp7CQuPjSAzQ3VwwrVPuJu9owm/9fzfeBQ/hccmBpFAYn2UwohPxFlPTqLUPGsiFtLZLG0XBMMdpTgHyHZO0FKao40TZdOcyIwU2yQJauIsRKySV8NouRK9OBFYGdG7K9GQvWaAF66oQrEq6bbSQ2vWC8zVN0+NsihUMXF6M7686qjd89KioncyGF48DCSBwn9+u9GZLS3L2VMattLiHnS2I5IhSpZpKdQ1modOcP/rfoPZPfdx6a+9GtWGB3/ld/FbU8zqCof/2cuRuspoRMlJLG1VSjnjJbIyhpFEw/griDge46lqF26Vw1aOatQglcdUHok3Kh96lkrD/drDKP5Mr9c+uw3aPatc+C+/g/GTLkVqz9bHPsnoSZdw5FXfyfhJl7D50U/GX0LDe6Q+SQk90My0VdBsr3zncwyiAiX3nBYNqF2oRmSIioJ6Ig2oC99QlVblI/2IDAuxFSJVWIy0Sn3RAaa33YWxim5uUu1ZDb1OOq+/z2UIC4mE916xzWB24wdRgYz1GdjeJffFW9SETh6nYsBYxVQ+/LTR4SfeTO0xlVI6M6eqIgLji/czvekO7vyRX2brlrtYecqlJGPfzjCah1DNah9ilJVqNpj9sGFUoOLLTVEmUlVphpdKsd2RKMqJU5YiVZBGbAafZbqQ8Zx6/9+y9qwns/8rX8RD7/wzNv7871h/0WcixJVsopOz7TJm1YStjGogyQMDSaDW3ES2JVG69S0vE4M1hRWlsh7nhZmzOGcw1mfhhKQ1lO00d62iCnbPOn5zgjE+JF7KT7Szk6EuqKWlRG2WzNTFibYC+U5SCGQg/TzQfXodoK5cxFZbnFd8IiYaEN9w17/+baa33cvdP/NmDr38Oh74g/dw8gN/j1jDRT/0dRgbwPVExfwkwgBkLlh474AFWvLCFigSjbkEaZXM1NToJWWOkmnaMjg0Y56t8YECFOf+UgmXvfqbCzo0XPqvvrkr+xLeIFssGKNUlccVRrySmBrIElC2aJHXXnZ43cYhpkkr0MUszBQowZREVbR96gLv26sbE5Kj7KHqUYMxymxms2sPxOFrs8JMJatzbLKk9SxMVDaAs0q6jCnYqH3ZFS2SaOYsVhSvdKqTL46RojpB2I4or+e9oWmEZqvKIld+YpEtm/FBshXOsTZWy4Fw4weRQFuzupMwEPa1+lRnJe5FlYpimMDhcjZXr+3HJCxP+9xsVlFVDucMrrG4zdjTnLaYiVBvCdVG2IRtViPAPl5jxc6WXhmLFFuTOoo5SbvWI+1ul8COnvDGeryRLM3ScsC67+G9CUNRrER+s0JXBXUGbQQ5Y8FAfdxQbUgEnYGrgmSwmYFpYDqp8GpYrzfP+udyLmIQCaR3reYdAo0bnuVWk0JWoM/C4akkpY1Ooash3ZmDhwZYZoKJ2OrKC3rKpk3+iLkWtILZnsDU8HHDNajUS15YHEoDDQNJoPU7pcUpA4i0VJzknJNoOAWTIvPH4nmJFNgtXfG+hkQwkdrjxmC3BDcGPwK3Gtd3VrWl89iQrOIEmRULlDqczdRBJNDmkRbsDnMSIT4njm12TcXyUFtJKBIsRVSb98QkNG1fozUtM6OHhxaE5BmvTtCp4eR0hf2jM4/qZ/BYxSASaLY/UmTSd5dIg/GWLCilYKQqMUlMN/nyRqotEhG6SZZwRRkfRB7+MkMjoRTjjjxe8F7Bh0XEoSjVDyKBgBYdGMFkQNssJ/ipAl67JnRCy+UqWxMtzi++azWavVExmgmFMkvJExMowjrURSOO2gc/1ZlhYzoazEr0kpWxACFLVsYyHq8xiCHsijf/LNssCSAPUbpl26l6Dy+UIKcZTw0k64MEKOvIuZT9EnSbdUNGJJaKDHUGAAAgAElEQVSoAD8L/6fahOsduugET9r/AG994RsexU/hsYlBJFAWGqeFW0CbIM4VMI8kQC7b8UNiPKiE/rjsm/J6kOQkS+f2rZ5KtdjOexpF1YCHUdVgdty1O79iEAkUZkE7vyTJdrt4UkwXr5Mib39AhqI2J05y/797M9O77+OyN/wkAPf/+ltxJ08zuuJS9n/dl8bELN5iW3IGvpiqBBHPgczCBtMDidF8S2LgCaqRV5vLY2LFMXGfTKK3hpiwzZkkgMWA3bPCha/6NsZPvhSxyuaHPsbo8ou46FXfAbMZ0zvvjsyLtI2y/fdL2ywQ3AqXkNYFioxXpv3iS4hqRVFZCrxOgGK0Q1JCFXqvGf6qothxDeOaZGfQ3H+M0WUXgkB9+UVMb7qd8RVHsr1UiTdK9B71AjMDPiiAjAci8zuICpSqCGxnRGjsW8T4bckDbFOkL6Pj4pN6H+OpLzrE5PpbEYGt62/CnzmzradCWruFDNCPi421daza6bb3Ox9jEAnUN5aDNjFK24J+suxsdxBxO9aHW9GziMCu5z4FZjPu+Zk3IaOKav86xvbeH0ISWY+xDltHrpkJYLWlwNQCRcYux5a4tHoKCaPbKlOJnU7XSMem+wH/o/jk3CPpvYSD3/rlGFHue8M7WH/mk9rhqnPN9qdCS29e7sYvVlTRk6IDIOut96h28dAJ39x3NEzHhwQLBdrPPHf9zFuY3nYvd73mtznwtS/hwbe+FzHC3pd8BuMLd9PMgIhBMsbnpQUI1UzVI2JRgUr8UqFsEaPDyBDmJFHbND+cUn3pZAhgR8JlP/XNnXPWnv6tebbnfds8CwGkVgLUwu+miI2q9mqY+mF89IP4KwLhr58wXcceaFkZ0CZJ/zr9xwGBmF5rX/dxWu6c6SRK+1pbyRLQvmy0h7KZOogEMqLbfDKMbG+sgda1Z85rPUTHnHPLviYNiamyhdmeekHU4l08Pi5iuk0LjQGjjAfEjR9MAvWjX41MLhBxMS9WDRdXhtNxJfMiWWRCy9jIroS94dFELllyJVQnMLHI1GBmMJqE89yKcmY2YrZEJC5WlDMb25thJdunlGi+GJZMcQy0xzkJghpBVbW9dhr60kKlieJWXgRtbKhuLiwaytRgtyQr2ycI7aSplj3QIoYSK0XkbSVyoFcwhGrTnXXJtmFO42Zqvv+wzXZZjSRrIibzFR17XBV7LhMEzxEYWbeUuFukcLkxTkNMqDAzlbwI2MT7qXdJ58zbUE0p44shq/O6tEMahCGraSx+ZnLfExCPHrXS2i1EdbTauiWkdZHi9PG1Fp5afuEZttEySyWJZPqHn8r3PVhTdCjRiYXqBN8YmJqgdAaR+kFYPEyUH6sIwt7RJltuEB/9MBKouneUmRJZTR5a8JdPWwvFa8VzQO5P6OUfRNpPXGlOs3mtlKYKK8viBapA31EVtPJIpUFCT0GDS0u41kxYq2bLJnqRwtfKtmLSTwzt3pfyMe2xHXpQKcZJmzxoNG+ZBrKhUFofCH4M1A02rpAn/wT1goyDisiqHcZe2BJUvwAhS1D9Mh6vMYgh7PL/+PMtgQ9aBGLuhWKVLUXH58yucnS83uOx5XDXL9qR7SqNBDqzURh56vVpFpnyztBsVuw/fIonH3iAq3fdx88+8//53/zLH/sYRAKRwFpSPDZJZTU+l8iEBbArz9z6ka9TTMmL/idjsAvioahkLjwAM0MzqZHVGXXtmMb3tEbZXW1hl5DWxQmxhXGBRICZ9XnKDnEhTwuqTsma2PHCIQm3br6Th37nXWAMoyuewP5v+ApO/tcPsPmhj2MP7uPgK74ebKJx0M7MNiqmTpDdW9jKM/PCtLF4hqOROIgeKDEepFCjN7bQPzQ+eJVaxdYeM3LYke8cL0kfeuTyLamNVYf3cuGrvo2Lf+o78adPs3XDzUw+eRMXvup7GF12hM2PfiSs/4xdVsBXo8Gh53TF1sYorCV54gxsRr3ERC9OGBOFwutgdWCr9iYmiodHeGpiXSRl+xQJFmtiwpnI0kCg2r8bu1KFc6xhdtc9rDztSjDKyrVPZuvm20PFS/YJxVKAaUBO1myeWEEmQT54ZBrcch1occJWLkMrEsgrAbpKeCtEfUPrMgSjrx0tZWJp7FPic5NbjuJPb2B3jcEIpvLYXSM0guqBDBrDhcVFbwjGvWcsdlOYTis2Xb3ERC9aWOvzdkVIIE+ybCq3LKqq/eJ0zl5XmUClj4Y7dYYHfvOPOPJD/5jJTXfjHjoZeq/pBLO+mrdJ1BNcpF3sy2xYtZaZZJ/WTVdzeHT6LH4a5y4GUUfbxPG57xFaUFkakjqv59e6JMSUPAlJaIyCb7j3tf+JC775Cxkd2MXa1Rczuf4WrPVMPnoDq095Qu65Ot4YSSOoUoiSd94JJ6ery1nY+RQ77XwnM8MEW4XtgHyA03/xMSY33c39b/nvAFzwT1/K+tMv487/843Uh/Zw+GXPx4nHR91ojELl0RbFFmZ9M4vfsmw29bIHWqSwtrUVMBKU5nfaTS9DVMCbHeGtCaS/98XPYM/nPiNeKzy//tRLOPh/vCg/py4wL/Amm93ldai4Ie9XwhpSgHMsK9DChIlkvXDfY01rfTAPslEqaIDf8ZjW93SO/wYEZbMSCWkVhw+U6ChMZqLih7GKi8sNI9Nwoll9dP74xzgGkkBtb2MkQFqNKHiTgWMpOtBWwBrw2iUeBr8MxSX885wEK/03ylA1eN/O5K1VRMLvt6UjvBNOzVa4e3Pvo/XnP6YxiARKkVqOrLgxh6bTsUMQjUoZtPtlxWupwni2Jxi0SSSiOFLFkUzzCVWs5eL7RtCp5cRkZakPtEhR1ocSUG9FsVWTrZby8b3+KM/ieg20zUNdwEY7L60xS5EA1ijWuAzCRwXvIjZbbNiHmwZlDrNpWKtn1APBAw0igazxVLbby5SVpp8w2WOVdmM9gedL5ga0PU6qSEYU501+PiRPtIcqElWdQbcM0pigcD+TLFTeeDMY18KBJJBSW4fzBmt8Z9ruI5g+fV3ptTRbS+GKLz+fk4eh6CMmZXOeu6CcbMnp0EdNILxAE6Agfuwx0+AVNq4aRnbJyliYSImQkscXKhlCSI5+P1QazGlMmP7rjQ+dSlkr+jQfHyEeqoGZ4RoTAPY5Y4NvhtaB4mM3zdzrnK8xiATycT0HgDicpGHGGs/MmTzUpDSZJQtK5tN6sh5QfK7PEUv+qo0LsAwjimsMzgVXnwxcE1oR8/grzpylGQicY4mJXoBYYqKX8biNQQxhl//6L8RtCfIKnszCY7WBnlNaOiUkReCS0b5QRuKAtQ8zNyyFpPdTglvPegShZUKZdMmNXuBUzVVPvYvDq6f53Re88VH/LM51DCKBqBUV335hgFaSH2dHHSWqzksLPd2hmVXxHeB9NqzLdj5tLokLZMIUSTU20ZyT4DkC3oYZ41Lmd4FCxq5VqJ/TEWuJ+Umzpsi00HnnpENdcV7aZc8vStY8VEyAbRQr2pI0G4t1J0TwVgezBgRDSaCs+Vxw1wsp3zylj1WgtS+Q+cmTkiWKIWzdfDsP/f4fITaC6r/+S7j35/4DszuPcuSnX0l96HCgMheRQPtGglJrEO1kPgvkPI7hNNGS5HxDVUiwi23CCIm1kZgbNoG/CLcEBIvXxEB1eD8X/uh3cORV3407dZrZ0fu44Ae+ibXnPCNUoiTxm7j5WiRmBK3VdYO1ofJ4ZDDT+GFUIIktjihiQrOT/ClQxVbt95m3KsTESqQtcRBy8mT1ewF7wVp80SPWYGuoDydFEMVUxTaKUiSRot4g4qiMxxsDcYFyukygBYpi0U+MB6uxAmkUwkzYnzZsxEarEr/kYvYUI+1txZxg67Z78ac3qC+5IMzSKg30IEN+g+SJoS4ki3fC1mRE0p0247DlslyJXqBQFwHraZO0SB4RzYD7eWum81TKIJzv436EqOBOn+HB3/zPXPiDX5+rHRRinuHJzvCXru2mhk0dZdRkbV0GwJ3vMYgEKqOfPEAngfq4HhGTtaNLg5YAuI9CnDPHfa97G4e+6R9R7d8Fqi31y4QmWX2Ae6BhBpb6IRHACd5btA492cg0jAZCLBxEAiW3wZKJmmZlQJ5GKxGvk86TsFWa1cuKUcUaH/fTlJMf/BhbN93Fg78TQPUHX34dx//oL9j85O3Mjj7Aga/6HNaf+9R2Fx7aZh1yk52oP5XxrFdbZ/tjOScxiAQy1mXUX6LjlELjlU39TlcfOuhFt9up5VBmRNFo/7T/857Ovhc/PVcoVWHX0742HGc0W0QZ42l1X6Mmo1GqcVCvT/3WyDh22WUCLUzUtcvDVJpl2QiuL8Fknp6HRgH7gO4SjYhiSSIcXdX7UvG+a+pSXiAMbVXl8TZw850zNA2MzVJofKFiVLkW12N8Rxc6Pe9VsMWXnOEarq0qXUHyALYXlW2Ntqpk77EkC6wSuGXlckFKKmt9JjHmxcU5jfv5GINIoLpqh6hyuGqrg24jF5bQ1WxK1/tiJQoDbaf9lOa6EkBlgDMG9dq5XnlNazwzLI0aNl39aH4Ej1kMIoGA7IGaIlegRzjPGr9tZpZf668LzTlONVpjahqmAjZaiiFOIehIe6GZWrZcxWkz/l/8SxcrBpNAwadCOpjohHt23nQqTh9AXxq1dKCwBTFRehjqjFSMvRLANLU1EVbbNMHJxzvD7EwdPVPDVsZSaHyBorZuW1KU0af6mJKh0UuolGAmTftpK0/CWwPbFgJ9b6FSveCcpdHWO8NMAl21Ek+1lHdZnLDSqnFAl6KTbuk5X/RGia1RVoPWfEXztctovVO79GmbmmYtXJp9Cxuh9oGx6mQwa0AwkARKLIxUOVJ1qK1rGaDSZUJUyZ6Jtpp4lchU7W1TsB1Un14vkzVXIKWbPAJ27HBG0ZnBitLocjN1oSIlT8n3KunDVnyexoep9/Yhr+SB5WFMpcNsTRurljYh0ywvnRfEPYPnqql9UFDzgtYB/Hb3mb3sqodRhZasjAWIJStjGY/bGMQQdsVv/dw2IFgaa8Qoo1G7bZBl7aQVooKwyepU8D4Azbw3rVIrAcuTzHTTflt5TQE2JzXNtAIvWadaRLGVo6o806kFFZ516Z0cGm/w+ue+5Vx8PGc1BpFAOrGZZdEZkCPmYtPUxeMIs7DdoVujXUFmbKTjY0PceS5pHybctQmoRD8zqDPRM14QwuJmSjprDa4RKvFLeZeFirELVGIn3dXAgs6TATyiUK7ZlFDUMqT3XJrMRb8N9SGB1GgQsvJVSMA6OEi3Ap9R6FwUZzzehAZ+6Re2QGFqD1Vv/8sk/I3vyq5AN4GKF7btecXE27rxjmh1IIyuvITdX/hCHnzDW0EEu38PB7/r6xFjQwLbqJqfhi/rGdcNlfXMnKWqXFysXCbQ4oR2eVgJG53QiS5JZcTtjoB97iWRUOB94pAWd/WrC/Zy5Ce+DTuuuO9X34psPMjFP/5yzNoqD/7enzD9+PWsPeep+JmJCMX4e0SZ4Mr6vE4kAhNXLxGJCxVpaEp3i+SBbmLgi0olLekwowcJX3K5UVHv390C7q3B7l7DrAWRTLEGsSEpzahNijSEeS/MGhvfP6AFRks80GKFtT73Num/3hR7VWloUm03TvNwlUx2lLYfIohjtokWmuXp7ffgT20wvvQwqtAcO8nmR29i/9d8XsvqiFsbSS9oNq2YKJmlUe3dZG89Gcx2xjASqPL5vz1pRveZFt634PkUZc+j2nbNfSsoEcWfPsP9//FdXPLDXxdM5KYN9/3a27no+76CehzgHAG0T+aD+cag0c1ZphKSde9mcOtZbqYuTqT1mtS0WtmeQElFNYUwXyWsow8dQ53nrte+nYtecR2rh1YBxz2v/88c+NLnsnLZYQLorItYbGaxelVB1Co18rV17KvPLIXGFy3SlNmKZlhrN7YDx8ycBAovakdf+uT//BibN9zN0Tf/CUeBJ7ziJZz8y08wu/84D/3RX3Lwy5/P7hdck48vTVzEKDqCGSOYCbX17LaTpdXBIsXKaJb7jsp6Kuswosyc7VB2kswdwMx1dRO7WGg6iMILvuCpXHTdU/Lxzhs+4w9/uPM7mDgkbTU2V8I0lDaNxa40OK0QUcZmxj575mx+JOcsBpFAtfWRLqxZpd6KQgSahW2Ldvc95cpOIDRLdygr8UPhjscmEfJeFat6zXtHzHMsjK3DohiWQ9jCRFWYqyRIqzV+xyHKp+Me5poBG9YFqOVkTIkkrVdr4ru3zI6kHNtLTuOZaEXtl5johQlTfKGV8dtU4EvdZx/Rg/hH7kH6UNf+ewYFWBsWrGNiOW/jMGmy10arOR2uueVrVmS5DrQwkYBkEhMobVSWoDFDOKbB5Ar0cNysMuEezvEnIRvTEanPSsLlXoMyvfcSZIC9YaaWeplAixMJn5wSBdrkgYBGzFVE24o1T2ouIxLpqtWnKOGuEIdDCmsEyMsI3bWkdt2pFseKmT1qf/9jGYNIICNBd9AjncRJkYh+RrRjtz1vaII0xYdGTceIJZ1TQjHa4ZNcAZtouZCGsbTIWdWhqa/FMdVBfPTDSaD0pcN2xkRtXa42ZYLtJPKUqk5FMHEpzzFoZ/greWYj69hqhGlcPgBoon9GkpfZ2Bpxyq2wZqaP+ufwWMQgVrNSovSrz8g6xlUTh7f50+bK+HxL10pRp/OLipOqzIqdMSo2RJO3BkAde6DNac1kq2Y2C/M911g2zoy5f7qL2UBYGUtQ/QLEElS/jMdtDKIH+sL3/GBn5Tj1KKlPSUNN422YXRGGtFFBPGzU5H7Gq8GIz+S/Ji4Sltf0KnnJoFHDZlNjRLnnxB42z4yw1jMaN1GnqDt8ftaR29lTTfjFZ//hOfl8zmYMIoGSZG6aMY0Aeo1uipQw5RpQoyb3Lwlq6tV0FhIhrjYXWxMpqbZcxZlZzYmNVbYmAcCf7Q5o14wS02Pqq8H0QINIoAdOr3eVx4jT7Uxx3i77ko5LC4GuWDRMC40ptPNa+75GwHlh2lTMZpbZZo0duYwMSKKeqsLaaMaZac2ocpyajTlQb5zVz+RcxSASaONEgJdqn36TAfaa12nEatYuTIt9gQcmLZqQgpShwuSGOzj2lneDEcZXPoG9L3sJ9/27t4CxmNUVDn7PyzErVb5mCpGQoKMogDWqHI2zrFVT3EDaz0EkkJZ0nqyS2sIK81cqgY6jJrAm1Eeo6U7XjVwxs/sgF/zwdyLjigde//vM7jvNBT/2PQiGE+/4EyYfvp5dL3w6xkbJ3wwh6coNp2p384lDTHcfP2ufx7mMQSSQXW2CQmr0OC0rjPcSRMMTwCvlV3zN255eYcQ1QyFatRpsDaydYUdCtQbVqgIOUzWsXrGXetxk/E/odbo24k6FOqqhbc4qJs1S4m5hoq7DEOHiUmJVearKZWA7JJB8OL4Vv1SMaTUVc6Rti3hCYnhMb78Hf3qDtSsPsvmpW7nvje9CRhUHXvaCDqYaAsx2VLkMLzkzrVlb2+TUZMxTDt3XWYQ8n2MQA3GZGOnLTpidcggJx0rmuZe3dJ0MjO+FP73B0Te+myPf95UArF59CZf/wnez63nXcPI9f5uVWCFitAkN9syFGZ7E/TpjPCPTLCXuFimSjZKIZC1DYzwVXWRhSp4uGyP8NGb7Dnp6XZ3nzte+nSOvuI6Vw2s0kxlqwxBk18agvss9I9QiF4fUBK3dcu3HPRTTucEkUEmBr6zDmrBYKKVtpQrOSF6PSc9BCwjrszlUhWN//jEmN97NfW/+EwAO/ZOXcN/vvh8xgt21yhN+6Kvy9ZKVQprNpaRtGsMDus50ahlf4NhTbZ7Vz+RcxSASKCVNgLQqlXXUccaTFghTJZo5AxGxaCQAvkqR8fS4haIqhz7/qRx8ydMYRV574wzr135Lvm5fhwG6ZEbnDG5m2Tg9gsYsleoXLWyi8cThqzaecdWE7QbfblGk11OEZLD4HaRWdgLWW6O4YkUxQ0d65/fdgZK74eHRKdaWXhmLE7ZYwEsrzVY8hkDz2XLVNkHMDEPt4addFJiqiufLPbb2PbtDY19zel6fJXU4f81uLTHRixSjqv0yrGg2dGt8iyhMX3JWsI9Q1KpHzbGRaZFmSalyQYG9Brxtm3GvmrcssktQSiRi7zUjCFN54aHZOofq02f9czkXMYgEqk2ahbXVp1RQTckEbNtRT8+l6APtS6BYCdxPsyyvgkHwaKxeEc0YG3kIPZprDD6C60+7MReNTpy1z+NcxllfBxKRfSLyNhH5hIhcLyIvEJEDIvLfReSG+HN/PFZE5LUicqOIfFhEnvPpvUdbWca2CTCL+EVXxmPFMzKugzr0xbBkiwTsz8KAfK0EExFRahPgINb4nCzJNcgUFW+laqiso6rja7Vnoxlzyq08Oh/wYxznYiHxV4D/qqrXAM8Ergd+DPgfqnoV8D/iY4AvAa6Kt+8Cfv3TeYO+fVJ6HCwFfIa2jm241cbl++mYjg/GnCpUXrccCm36GROsMgFHnVahod2Rh2D2O7YNp92SWPiIISJ7gBcDrwBQ1SkwFZGXAS+Jh/0W8D7gR4GXAW/WgLP9y1i9LlLVex7ufcpFuZI1YSKdJ3u0S3tMZpvSbYLbX7597HzLo0+C5QmDbRMcxBumzjKqHCtxBug1AOy3ZlVQeDWe0ahh1UwHM40/2xXoicD9wG+IyIdE5I0isg5cmJIi/rwgHv8E4I7i/Dvjcw8b6b+/ZF9Awd0q6D7zzN6kV2Eq8TtWp52i7I8ab9ic1UydDcOpUVxj82p1ZfxyGv8PuP5zgFeq6gdF5Fdoh6t5MY9ns60pEZHvIgxxXAb89Ute+yj8qsv4X4mzXYHuBO5U1Q/Gx28jJNRREbkIIP68rzj+0uL8S4C7+xdV1Teo6nNV9bmHz9qvvoxPJ85qBVLVe0XkDhF5iqp+Engp8PF4+xbg5+PPd8RT3gl8v4j8PvB84MQj9T8AX/6B78/3kw9Xmjkl0HuKeWRCr5IB9DuRDdM1vUahcAnY5rTW1GjgvW/FnmfaVDSNYevkmNV9E5rG4O5e48jT7uPLLv4YM7W8+jPe+Uh/2sLHuVgHeiXwOyIyAm4GvpVQ+d4qIt8O3A58XTz23cCXAjcCZ+KxjxiJZVEZ32GgGpTKuAzX2Ck5jGjG/jyc4EL5eqO24+JTXj8LWVUwrZQn7D/Bncf2IWeEz7vwRp44vo87Zgc+nT9t4eOsJ5Cq/h0wjzT30jnHKvDP/qHv0ahhNIe6vFOUJnTtYmK3Ud7JzyuLN/QYrN6FGdmsSCpjPKO1KXtHm9zJPhBwGCZa87SVu/5hf+SCxiBWokMyGKbO5Kl7er4vBPZwq9Ap+pXq2MeOcv2v/ikYw/5rDvOsH3gBjTMcff8NfOp1H+Cl/+kVGIKkXuMsPu6lGYGVuuHgeINR3TCbCDedPsRl4wc5sNRIXJy4/8w64yhnVwof9JU0dloghO1JU26GmsP7eca//cfYUcUnfvZdHP3USdauuIB7338To8O72WxqZs6y1VQ0UXuxsmEBc7We0XjLpfuO84mnjh+2xzofYxgJdGwPNlJn+jK9reFJ18M9gc8yaXCHBFIV1OyFTWATzrgVjm7spXnvvVTXXs3s3r/j6KldQeAzrgFVxuO8sKUVlfHcfOogG9MRKyszjCgztdw2Hcb8cRAJ5LZsoOho4IVp5HjlULIlE5LEnugarGT82Bx9odiET2+/h+mDE2a7LueB3/5TDn331+P/64c5fWIVBMarM4zxeBGqyEPLMnhRZubByTonmjUuGi1pPQsT9eoMY30723K2xeAkrHLSKzTBwSdHQSZMj8OJ2rr6OMGdPsNDv/MODn//N7D1qU8xvvoyZGTze6gKzgkmOHszbYJW4lZTMa4aZt4wbSwnNlc440eDGcoGkUB5pzuCvFxHWq4FeKXhrM/SSOF9OfS1iMJGlQf/w1s5+E1fxPiCNSZ/ey+TD13P1kc+xezuo5x4+x9z8J9clzlh+XzgzLTO0/1ZY2nEsNGMmY0G8dEPI4GCFeUcDzC6RMKUQFBSgVrhgzy0xWsmfvvpv/gYWzffybHf/WMQOPTy6zjw5c8H4PZXvYlD3/BSoKVJu8h29d6G6xIchLyzVHWDEc+aWe6FLUwknwyQjktPspr0BbB+nmKHajBpaZPHxGQLOod7XvQZ7HrhM7GVo65dPDaA+C//2W+L5ixdVGK4sOCnFp2a7OmaYumVsUBRRSAXsI2wZ4wPivUxKcqKU0YJik9VqrUsiKLh0cglaSha65i5dsHROVOQG32kVBucEnqrRvCNsNEMAwsEA0mgJCwuoh0plzJcMZQB2J5jYJJu2VZFiusn2o8vkqYUTiiBY+m+sQ6tAQUvBrHK7nrC4erk//4fvgAxiAQa100Gu5eIwRb0Ltk3A9oZ+7yZUKkFVA55KYIJiyORMlTDUNdX5EjXShUJo4gqVe04VJ9mXYah0jqIBEqw0tZYxXf2utKwlrwzmkg5tr0EKRkY5UJjSjSnwsh4XM9LSkSZzGyncoXZnm+b+8hQdc7w0GyNB92us/qZnKsYRALlISZuZVTiI1U5vJ5VyLzJMFQXxcAfbjsjXWfmbYBxpKrkTT4v0YA2p3WnYU8KaT4mm/chOf3Ucv901zKBFimSA3L2yigB9rQa0Y2xHeed8ieQEy6fm/obCavLTUwcE/3IIFQzK8pK3eAVpr1tlOAXbzIjAxXqgnZ0vscgEigB2/t+GdAC6wN/SzvAemAbpge22zu11yrozVKyVD3roymTpsJ7v+28hKl2lWM0ajgw2nhE3NH5EoNIIIjsz7ihmZJm3ppPGQFwtp0rll+PFc2rYHQ7ATFJ/Y6Mo9G4iWo9XlsHRK9tAhmj7F7ZYn91ZlmBFimMKL74ctOXCqkxDkCzxitTH/5kg3Y9MHoJ1xR9TkqiFKmfSkwQCNQfp10ju9IiMzGXopUAACAASURBVHmHjayjNs1gRDaXVgcLELK0OljG4zUGMYR95Qf+GZVxkf/uqGODu+nqDK7fKTyShyyvJj/uY6bLKHuhLVd1TO7OzOosYN6kYU2CyObMWa46eD+ff/BT7LUbvOIpf/nofhCPQQwigUwBqPca7AiSxWU/d/qg+9IfIyVPmUDh+l0QfmeGVWCwp01NbTyTJtB9RtahkKk/EMD67tMA/p8vMYgESms//UpTGxctDJL/xfzkgTjdh9Bwx+NLC+9wTJzGF2tLVeUCoN9bps4Gjnzyjo8LlluzKm+PNN5Qi2O2dCxcnEh89pQwLs68IKwU20g2dCqt0AJsm4W1913WBXrwY/fx0X//54gV9j3lAp72ys/lv3zJ/82+qw8C8KKfu47R7jUmrsomc5V1rMb9OZ/2xuIqtosJNJQYRAJBqCazIjmm3uRhzIjPVaVdDAwQ2HkLiUBOtPGFe/jsX/4q7LjiQz/933joxmPsfuJBPu9XvzK/b7K4PDOtqWPytDv4aXgLlJ9x1bDl6yWgbJHiTDPKLNQUjbcdeZdycTEwUdv+JiVLZVzuhxIdWvbu5VRT4zaFRio8ltO3HeO93/sO9l17MVd+++cy04pZVOLYPZ52fOu9CtYbrFEaF6jXE61YY5lACxN3HN+HMT5qQ+9MHEy2A+n57AufXu8tJtbWMWkqjm+scupTD3L6gRnH9z2RJ/3aK6l3j7njdf+F2f+4l73PvxqAtZg8Y9vk9zCE4VUZMYu2C0vb7wWLk6dWM0WnxOKQkIAxOmumEbqRWBtIy+CAwOIwVWiUpw9u8cCb3sWh7305Z06sItWYyWll/Kxr2bj5LnY/7ylUUV7YSpef36jJ5nQZboJi+5TZ8zQGkUBiNFsztTwvQRsJ9k+2yJyCeZFpOz2gWQIDOUBnjgd//a3s+5ovw+7ag9+YIisWsZbNj9/B6LIjnNkYZxjszBtm9YxKfHZShNb2IO3VDWUrYxAJNBo12Zc9U3NUcJVBG9NWHpUW3K6QN628biMiysijjXDmrz7M9LY7Of72dwOw76u/mGO/9/9ixiOqQwdY/bIvwp82eODEzHCq9tS1y25BCWIybVov+XWztaxAixQdLehI8lM0s1TFKHO3/DzdiiTtT23CUsD6C5/J+gufGY4TBQMXv+b7W8KiekQc6gV1BtcY3JYNCZmA2Db8LlJ5Tk5X2PBjnCwr0MJE+m+HNIQVFgWZYQFITKSiSoWftD9TEmkvsdJQJ6laBdfDlJliFDEuPBeP8U6Cm2K8qQmOPVu+/rR0F8+HGEQC1dbhvAEMqgWY3gTQe64eEJOAzJcPzz3CG5Tn9I6VomoZ4xHTkheDtVSgEPnGhNdEl1sZixaVDdrMjTNZPR4MxjoohopcXGJ16PirQqeplpLBWiaNaJy9dZ+T9FNaTpmJxxjjUOuxNqi/1uKY6NLycmGiFP52XrNGT+Cqt19oyV1P1aE0mFMl+64mMYZ5taJlwgbKcnqcCIXpmJR5iWMvcXvkRLN2Nj6GxyQGkUBp01OL//5KhUaUxhfrQrRfcKoOXTIgqASKs1jmN96xDzJFb5VYqPO0iVI4F7wyJk3NyWaFVbtcSFyYGFcNzhtmEWZqaVei0389tElUVhAfe9nSFyz5rrZeqm2CpR6nJRGGBEpuh/MSKCh8BN5+bR27qi3WzJJYuDCRaDf9bQoAkYjFkdYULn3FRpQGg/cti7Qf3guaePVGs7luOjYlj0mmd2gE0ic8dLtha4yyXk3ZazeXm6mLFI2ajh9YxvE0VSD+ZZpOV7ouO+tIqA6lvEu4L3n6n4atfq9TJk/pRZZ+FzDM4t5q+B2HMX1PsQTVL0AsQfXLeNzGIIawL3zPD85V0sgw0gLS6koh8GLIS9jmmQ9yvaVgeOlEWBrZpcclVHZkXOSgtbyymbNszsLq89MP3Mtz9twGwCuf+t6z9pmcqxhEAiWRhH4CNd6Exb24Ou2lS39OCZAgsdBieGo1OQFnRZJY6boXpnNKB0RRybU9NdA2JtyqnUVM9Hwl/PMtBpFA0AWOZcMVE+Cs2dfCG5DApBhZ1zGmS423SV+4+qzKkaqJkGy/febH5wadLlsj4X8SY9V5E9XrY/O93I1fnEiuPOXjUBF8pvaEPaj+ea2Pajq/sj6fP/UV93/kfq5/3Z8iRli/6ghP/r7P58Tf3MJtv/dXqFeu/t7PZffVR9rhytssvDB1IQGnjc0Se8mpcIlIXKBINBvf859I/Qo0TH0Vhixth6l5VCAI60oNAZS/dmQXz/rFr0Xqmut/9l1s3nqUu/7oIzz3334VYtMw1/1dUqSKZQLWrdUUwuOWXhmLE/PWVkoOV6goDm+6PDAf+6J5kY4bH1yPjbejruHMx27HGPibH30H4/1rXPNDL8WsjHLilPaZVXTvSYqvIkotDofpNN7ncwzi38BrQUtGmLqKqauYuJozzXZV+JBQhsZbJk099zb1VZ69WePZvPUozYlNVvaM2Dq2wfP/zVdw4BlHuOddf09tXUcbEULiJhB/qkK1Cdw1i9/W8J+vMYgEmriKqQ+N8tTZwBKN0/Gpt0xcTaOtOtnU2facSOFJt3Ru49sqMT054eO//H6e+aOfT7U+4sAzLsJJxb5nXcbp2x7q0IVSSDGzCw11eN6grJst9pjNc/shnaUYxBD24Jl1gCzsNKqavN9VRzm6ckhrCpJhX/C73FQF8M7z4Z/5Y6767s+FfXvZdU3FLe+8npm3HL/hAVaO7O0kmxbT+dT3JBCZVxnM9D3FMBLolv0tHFVBRxpwyJXPErumCoCucjO0P+xAV6i8rhwnPvARTnziPq5//f8Egcu/9cWsXXs5f/XP/xAzrnnSj30FJ7ZWOoocRrRDLhRRGmfZEpipZap2yY1fpLBnwvqOChgHeiY8LwAezExQo6iFRgootKUHdW05Yn6kqFW48sVc/Asvjm+knLQKL7iWAy/8RyDKsalijmkGlgVvspio8fdTAh5odTTD4gOTdSCVaBAJJJcFzUH1QuOlW42cga3gwSQqLRNDFIlcMkmwVZV8v5q2OOikhaAWytl3OlY8GfbqLDQWfK3oSNGRR8aOqnZU66HvseKX60CLFKur07Di61pTFRstD7wXZrNAs/EaWBJ9BqtCTqBMNIzMCjyBVVFWqILNIY2Emwv3U9KZqaAePIGX1nhhq6nY8hUGz/oSD7Q4YUTRgiZjjM8kChHBWkU14HRUunSfMrKifIkqjNeht2CYlo+SU6L6cJOYuOojnSdWRJ0aNiYjTrsxHsPEL0H1CxcJUiqQxZ0A6rrJx2RsdLlmE++7uHmqOyVLAUhL13IuIBZDEgUSiDFhXPTOBm5YY4LroQui5FOt2PDDcOwZRALVlcMU+GWbKTlR4CkeZyKyENoZWDmcSUweF5U5EoMjGfKWiZV+GhOB+F4wdbTdTEkaaUUqihpDXTtGpsGrsLWsQIsT1nisScnTzn5ELMb7nFBpJz3tUfmYLPm1ohKFPa6w3SEuVBhPYH60+Olgs5nIgxDB+K7FUQP4pu28G29xmCUmepEiQS2Ii3Y2eXcBpiQWxuP62ofpGn1wmBRJVQ5d6TWAJiZX4xXnDCYC7zPMI/ZGKKyOZuyrz7B7IKvQMJAESvtNpflbwuOI8Z0qk8BgQIf+kyP2UHWpTp+8LgpkYgkoyx5jBTcsbZ42jQ0Ne6yOSR+x76x4vsYSVL8AsQTVL+NxG4MYwr74ff+8A5aH0KO4iGtOQ1EV4RQJwdjodlxOwkFDKwOctRQLYH0ScUhwVReb5r736sxZplsVYpQrDz/IVxz5MLvNJhMd8T3XfOAcfDpnNwaRQMkErkwGIxr2wZBMRe0zNx7ODmqek0+pUu9Tg+1N3AeLs7PCPzX9TBTptWpKLY6ROCbnd+eQYxAJBC0MNXl4wXabpo6lE9J5LtOPRQMMI37BJ66/h0+97gOIFXZffSEXf9FT+eTr3g8Ik6MnufirP5OLvvq5KGHXw8a1pqwCayVvq2TrzQEhEgeRQCW9Jnt8icuVp+ntfPclgOd5Y6QFx/Uju/isX/pq7Ljiw6/5Y2wFn/XLX4uq8Hc/8U4OfvaV+Tp1sTwQ8NeB0dGHjLiBJA8MJYEyqL6bKHm4Kr6/eQ488x6nc8cH1/PzYgUx4bXZ5ozpsQ32XroHj+tWsHlDYvJbFQ1D2ECm8cNIoKRCr9v7G2iZEuWwlX72q0//3BSnbnqA6YkJu64IHhkP/n+3cPj5l3eIhDvZJngfduRLxsaSF7ZA0fY8bttzZXgVPNupP8CO7AwImOhP/Mr7eParvyhf9/4/u4krv+E5+RqqXf/Vfoh0q9NSJ3qBou/jlf1Saafv7XF99mi0dtrBQcc3nr9/zX/j6d/32awdXMOIwzeOjduOceCqg0x9uI5IUKDXORUty+upMNGaDT9eIhIXKRIWGbrDE0p2LOxTj1OYh7Fe8irc874bOf6J+7j+9X+BIjztu59PszHl4HMuyQZ17bWUWekK1NvxP9OMOOMCjGOZQAsW89Z3UhKl6Dsvl8f2+5fEM7vopddw0Uuv2fZ+h553RYdtulOUa0JNvKZF8Y+oLXx+xCASaNLUnWrg7awzRU92Tv2KUUa/6c4OhjGy62FvdTrdL8/1SF6pLlewU5IOBcoBA0mg247v71SQ2joqO5/9WX7Zadsh4YVKJmnfLzWdW6pzzLt22uZoklxwAVgzotnqqZZm2/nnYwwigY4fW4eZaYXDrYal5Dm4Z+ZVINFWCxGC9ZMEMfFSD7pzfkqK0kqBAGdtJYXDNoZzBhtVP3bZCSsyW/ZAixT1SoMfmaA+r8m3gvwlqytYoxmTmp6LD72AS+LRrdA4/Uozj51RhtFCBrZdyLSrYa9uRWZY8Uul+kWK0bhpbZ4AWwxfidSXFvNSuOisDHEazhzLjISBTmD6VKAy5jq+Z1S9TwwM0rGuPUd9O3xu+PESVL9IUeo2pwU7WwwlXlpZXohQCxuA8JnTTtfWwNjy+Pgz7WsV75eoQHnnXVsIa0q6QPdRRiZIu0x8vRzCFilKY5MENy2Jg9b43NCG5wJjQyVwxcrr9LWiO2FdrnTdY1stauMDe1UhOCj6thnfVbezr+VWxgJFbR2NC//Rofpoxj2XADHno0prr68pEyat2ZRGLF2OWDGrKoayxMxwGhvvqMcY8qv9HSyeWprBzMKWmOgFiCUmehmP2xjEEPbCP/4RgI74N5AX9JxKXiBMYK6Ho9WkhcRZxDqXolHpZ2qPEh06rDxHd8K4Ap3WgFxjGY1nPPuiu7juwMfZ8GNunRziF5/9h2fpEzl3MYgESokzMq7TPBvb9kIpKdLqyzxUYidUqOOKc9lHJbJhvm5M0HARg4nOiQAm2o37SD4cmwanJnPDhhCDSKCkBlZWH9PD5mQqc9zyaOgiCMvti74AQ2K9puf6G7cJzpFCRHNvYEyY9qsKqzYsIh5r1jnZrDzKn8JjE4NIoKQYn/HQpXh4UVg6oDFP9skoNz3DS5KtEAInvrsJmxKug/vxBo3Xsgacb3HR1iqjumFsZkx8zUOzdU7Nlgm0MFHigVKkHXVod9LTsTAfiJ8SydKC0h742H1c/6t/Csaw++oLufp7X8z1P//HbN13ClMZrv1XX4rds04ZTgVr2mpm4jrU8dka91T72PLVYCwvBzELq6LXxbzhJdx8hGdsf62MxJ0v4bCrF+7mOf/ua3jur/xjpsc3OfaRuzGV5bN+5Wu5+IufxtE/uT7z8tO5yf6yFPH03nBitsLdk30c3drDQ9PVs/ypnJsYSAVynb2wsvpASQzUDGPtEAcL05VuNTKsHlqL9z3GCoZ2puc2Joz2rgSpYNP2W8laM0U25o1D3pmmZmM2jL2wQVQgiEmDUomjMq4l9hU3SFXGheMkCD5VxjGyTa4g6TayTU6uEzc+wPTEJnuuvQQ38/zZN/82t7/jo1z44ifl93feMHPtHleYyrfajYH06B4RxXg+xSASqPE22xwkRfp5XK95LNU8bInPyvLp+NRXTU9O+ORr38fT/uUX8tBf30q9PuJFb/4mnvyK53HLH/xtOJ4wE6ut64lcaZ4RNt6G6hcb8yHEIIawFCPT7Pjf3TJWd97EnEsIbDwffs1/4+rveRHjA+ucUqj3rGBEGe9b4fjHp3n2lkQbpmoD1YeAdjSmHSLHpmGtmtF3FjpfYxAJVBk3t+J0Zlo9tE9tXJSy2/5Flufe876bOP6Jo3zqP/w5CjzpW1/Ixm3H+OAPvB31yjN+7LpsI1VCV/tLhVaUkXXsqTZZtVM269Gj88c/xjGIBFqxDVPf7T3KaJvktrlOybMTyD49/4Trruai657SOe6CZ39JYZHp8drMXSvCG2zqqaxnZBp22S2seGbVEg+0MJGSpxy+siaQ+A5jtYzyCw9VzGR3Qy+JrBgAPkG1o0iQxDdLNlPaJTdWJaAtrlRbUdbsFmtmulTnWKSYuLDD1V88NOJDItCrDMX91EhPffej6NB2aBvqPqsjvZ4ZG3FVPG3Gzlw7eFbiWZEZ++wGo4Hshw0ige44vi8s5FnfoeZAt59J0X9c0nRS4qTpeDqyVCErd/v71ymtwJNXqqrQOMPYNKyYGSNxS8vLRYrj9+wJdxKVx2oAvpdI+XkjRme1r3hO4k666DZgvSb7gjkofKl9YIREilCpM2RWlLGZsWa2cGo47tYenT/+MY5BJJCsNhHILh3Ae2ZI7LRwl47zwaagDDdNFJ+0WUr7eB7fDNCtKuSUhJtLSWiVunaRO19xytccc+tzr3G+xSASaPfezbyb7n0Xu1MyNhJ61/eGnvb56Hsx702KShSIh8W5ibXhiuum6jUzMBVm04qTzQr3N7vZ8vXSbGWRIgG4OjTiZPzWA4yFGZGnDwXPjI3oeyHFAmBpspLA9iX+J7n1UPnO7xG2MQJh0XvDpqs50azlGdwQYhAJ1HLCNDaxvkPtATJ9R3P1kU5F8r5lYiROWMnMKKN8PlN7RLvVKw2dBcXaq8l8sDU7eZT++sc2lqyMBYglK2MZj9sYxBD23Hf/ONCu55Sg97SolzA6Je45N95zirCPaz5hSCyej8wLU1w/aQF1bDRVaBpD01jUCeu7J7zkkhu5YHSKWhzHmnX+zbPedvY+lHMUg0ggaOEZQm9hkLbMlvrMaWtBI4S1D/VwRV9VLhwaAUzrQaaJwxxlfH2xbGBMXFQ0gVbUqGWmFqeGU0tQ/eJEYmWkGVcf52yNxxIoOPN27ZVg/ZQiJWF+vXdObX3ndZFWTNzQVqDS5iBVLKcGxA9GbHwQCSS0ihyk+3FPKnHFVAUMHTEF6CZOP1SFhz5+L7e8/r2IEdavOsKV3/sF3PZr/52NWx5g5aK9PPEHvjjyz7pDI4Dxgq8MTiIuiFahbJcdhszdIBJoXAWhggSxsAX+GFqPCqt+x83QMlLyNWpYP7Kba3/h65FRxY0//585/dE70MbxnF/6Om77g7/h5F/dyP4XXNVeQbSoLqbDZq1MSJ6xmbGnGsY0fhCzsDphoAsBzL71QGJulLQea9Lma/eWWRbiWT+8wuoajKzDVMLpD9/KnicdpBLP/qsPcvr6O1vMT0/cPOspGs/YOtbMNPy+4thbnTmHn9DZi0EkUBqyauOCwGbxhZqYCAlInzDQZZ9U4qPL5yQiGY0oZ26+j+bkJoc/54kc//s7EVGO/93tuNOTbKPZN1WBth8CGJtALrR47HIlenEiffEJE10q0IfX55vsQhj2+kNYMqODMItzJybc+O/fwzN+8ksZH1hn15UH+esfehu7rzzI+MBaZsBmldYe5iiLM0jrmeqWoPrFiRZeWlaUh1egT8fNY0ckVXsjynQKH/25/8LV3/MiVg6uAcpVr3ge8Dxu/I2/5NDzr8iY6Mr4ONWP035t1dFq67JCq8NQb0NNn58xiAQy4jOdZ76dQcFI1e2M1LnXjEPM/R+4gZOfOMoNb/gzAK76jhdw45v+AjHCoc+8hEPXXkDjW5M6a8KaULiID1P84npWPBa/bTnhfI2BJFCwegrDVluN+qyMhHOu8nldJGI6Nj32arj0uqt4wnVXd77ww6/96mI3vRVoaFL1MS2s1UjRsKMYImJyjpvQ+RjDSSDxjGw7LOwEl+gPb6nJDrho21Ood9kmISdhx0s1nNd4C9IKN8y8DcJTkKG2AUxmWTEz9pkzS53oRYv0BZfUHVvwwTzCzNs87yzVPHxWw+wzNTylE2KjJleZUY/pUS4d1MZRGwdNzcxZvIY+bWxm7DET9pgJKwxDnWMQCTQyjqm3NGqo4u7XNnEFNCSPTxz1VkMo90SJ0qPCig2ceW8MXsNCZaOGiaszNdnQ8t3xQX8oVTQI2xY6HUW7S89us8ma2WK3mWZbqPM9BpFA0E6hyyQKKlJk3zBXDk9oToS+CEOjlomD0Q7Iwfa9bJzyt7SedhM3XS+cUxnPupkyirOv6TCW4IaRQEc3d3dUMVpYRwHpKBKljH4TrUUy9F15DNohMSb6j4uQDuelg7f2KswaG4xWJOhDG/HM1HDKL3fjFyZuuuOCwMawXdednBw7mOGqBiMW9dJ160nsjp4nhhhtTVigNWVRCZO/RPVJkI4osmnHjomrmGjNKb+CU8Mxt+tR/hQemxhEAqkPXC3dKig3QhgsBFpwj2bKjRjtGKQo0EWOCXlVICaE9hME2s0gq+F9XKIXkU1XvFE2ZmOONbuwhNnY3bP9Z/UzOVcxiARa3TOhaUyHF1aiA8swBafLe8FHRof01mVy1dIWfB8etxLCffIgGocwUXxjEKP4SZjie4Lh7kwtU7WD2cpYguoXIJag+mU8bmMQQ9gz3/kTNJHbNS+MaTWfyyjhFzuxVRMco+vYw3b/sQRO85KtLgFmkwpTKZdf+CAvOHQLB6oN9tozzNTyfU99///y37woMYgEyoLh81iAFIrzvS+9VFO1O+xNKduTqP82IRHTlUz0Te3RnAlAsnnQkvM5BpFAWaPQuk41yIa5eVrf3ndeMgC+fwwE+k66lifO0uP5eTLWY3KUetGNiV7xtc8Sv7W47Jm6dCxcoBjXTbFAqNsWB9MX2w2Tj+8PbeEcwmxKlcmt93Pnr74bMYbRRfu57Ae/jHve+Cds3HgPq088wiXf/Y9ychrf2i6oKKNRg6pQG5fhsk4NbiDt5yD+ipF1224rVcNaPWOtnjGyjnFxq03YuU+SvFX8Oe9WW8/uy/fx9F/6Jp72i9+INcrspjthusXTf/EbwTk2b7g7/y6pgmWhqyjyUJmARhxFt8Kl5eUCRW27Kq0Z31zsxPcjbWsklbF5Wxy5klkhLktiR4Yzf38zBz/zMmrj2fecy9n85J3sespFeU1IYpPkvCDeIBIkiNfMFmtmazB4aBhIAs0bsmwBFutzwTSuFKck8SqYOTO0dL4FHvifN3Hzm/6MtUv2I4dWGe+qqK1jvKtmcttmxiJ1SYo2X2MUmSMWjeyPYSTRIBKoVEidpwk9LxI4rEpCnDtssqZrHfmcKznyOVfyide+F1MJujkJsI3JhPGeEXVs4MvfxRf8NI9wxo9YkREeMxjf+EH0QJV4RsYxtk2m9owivQdCMpT9Ue5vjMs/y9s4emRkz7DZLNuJj3bVGIFjf3sH1nge+tvb2f3Ui/Lv0qcI9Zv3M37MxNec8Uuh8YWJxI1vUYmt1G9CDgZkYfh/GRk3ty9qCkaFL3b0H/irW7n1Dz8EwPol+7j2h7+A63/1T/ngK9/G+hMPs++pRwDt4I1KeIg1QWS8FkctjpnawfRBg0igKvqB9ZmhFDOd8IUG9kaKfpNdgvDLa1384iu5+MVXdq51zSs/r3ifJsJlC5tNbaWCJfdSnhUzY+LqwSwoDiKByng4yo7X+QjDvhVCSU6cV6nm9U0JGitpnae3NdJ4y0wrZlHiZWspsrlYUU67H+4Yeusv6ZzmYbw2OsfTNtclfLVUBlEnGc0YLKB8tricFkk0hBhEAqXhaycf0ln0E2vmzBlSpfl0hpTErYeuT6vXuIEaq5U1ngphFNenbPzdamniQqIbyPRlIAmUfLpm/uH/q+dVqP+/vTePly2r6jy/a+9zIuLe+16+KaeXI5ADZJJSzLMWlkKJXX6wPi2tVW2JNErTQ/mxSsvSj7aK6EctLa3CUluqQWi7FRFREC0QsZxalMERMIEEkpxeji8z33DvjThn79V/7OHsc+69mVnmS168k7E+n3gRceJMN2K9tdfe6/dbvyyoQn8GFRJqt+P4klNfylyWHLJENCyv10TBlpk0HLanaHQUX/04HGjI0RpacBCz40f1KnkBcMhMTU5Z2pBUWAEL7UD2Q1WguQtfb+ihaJhIy0EbSIVjWQcahQMlRmn6nw8l43Tn0DSUCId+I/K8Oj2IWP2eQ3XvuG6fMFwunA2MDS/YynOw3uSwPRWYGXge0JVWxtLYicUs9yQsK+up8VNade5JOKng9hCc240SlJxHB+corY3yTmm/xtkMLEv7OjWc9GurCLRM9tk7Lwj4HB8lB5SsuJO12zM2KByjXvJ6Tc+GeZJ2GhnZObXbLgKUiMcBKlJi1/tTbpr58Ntar6bxy2TtdtXRbwpwYFDLIdN4gB6DQpWO8pMs7t/bN+4fnolyT9ptVsB09KJM/VFQI7ipyetAFqWW0KlsDLZiZSyBrVgZK3vc2iiGsCe/8/U5WRVRrPWZiZGsBMaXslBDTHR4nY6hd3xpiaCYch/vgyYYBPC+dxbfhmP2HdjiJZfdxDP3fYHTfsq9zX5OuSn//hm/dga/hbNjo3AgSFJPg2eKynh2kJS09J1nN0JHyXD1vttmTLci5Au2RlVHUJmC94qYIEI3rVxECnRLCqtSxhJZVbkMm0j1J7tLBEqtVoYdNHazTPfJ8I5ufakUWjEqPTqRz5FOcBhU4/3g2dYJjVpqcatO9ctkaQGxsq4Hah+CuZKyThKUeyhzXrJSJe3DMAAAIABJREFUz9bNd3PLz/wXsMLs6CGO/ouX8Nkfegfbt9zLDe/4txhbaGVo6ENkbVhSUBOAaFPTMpMFjVjW7TyvM53rNgoHMsYjKtS2kxVIw1cyr4JjbwLh0KSIOOtXHOL6n/4XANz8U+/F33MvT/3xr+dTP/QbzCYNGJtzocaZ3sxEVbIM+STywgAaWQ1hS2O19Z0qT/yxrPG51VwbV5wr3Yl93ssyohCQ2pD4ZmZi2bjsILMDEwzK1Dp6JNTBariLK9NzX7FQG5qN43LD8XPdRuFAJbQCyM6To01s/pTKGaWV8NNkXiUzK1RDGeO+D32GW3/xj1m//CDTg1Nq6xAJbFgvhbxTjHTpWPVhSPMqNFpRS8t5Zms0vLBRrAMlCGodwfI5AkUH6rS8upa+qdhqJThbub2EtgZyoePiFz+J57z5Vaydv8HJD38mAO9jzawqk+p4fG0jQ9WG+yohskb8aNr8PuYOJCL/SkQ+ISIfF5FfEZGZiDxRRP5cRD4jIr8qIpO47zS+vyl+/oRHco3kLElopTaOSRRXKZ0oPZIqjxTDXRJWgc4hs0O1iyzeUm9MqGeWSjxC54QhIinTqmUWH9O6YX22YN9kzswETvxEHKV687luj6kDicilwLcBz1bVGwicu28Afhz4aVW9BrgfeE085DXA/ap6NfDTcb+HtapwgBQRShhHqd7zUI/dpJ+seI5/5Gb+4tvfwV98+ztoHjjN+c+8lA/9q3dz4qb7+Oi/eTenbrwjR6Re22Cgsp7zJttMExKRgCHadKtq/H/LNdZEpAHWgWPAPwL+efz8bcAPAj8PvCK+Bngn8J9ERPRhCnY2ogNLNmlpj4RsaER3JRgCXPTiJ3HRi5+U9xNRnvNT/zS/D6ahuTjQOkvjDd4batuyYRdh6r5aSPxvM1W9XUR+ErgF2AJ+F/gY8IBq7N4NtwGXxteXArfGY1sReRA4Atz7UNcxouhARGU3+g7QQw3ukIUaAOXTPkN7qJlcwgEt2iq3/537irmvecCtY0SZ+5oTK9HdhzcROUSIKk8EHgB+DXj5LruWdYa9PivP+1rgtQBXABeK4osEeEh1PhPmsqOFKJJypFLioPEW54McQlr1bp3hRDPj7sV+tqsucV7hgR6ZfSXweVW9B0BE3gW8EDgoIlWMQpcBqT/KbcDlwG0iUgEHgOPDk6rqm4A3QYBzQAdhTVpfwK6Q1p0OtQvkdY/hpYxkPehssYwgopk+XVoaslIetFGNo5TxWM/CbgGeLyLrEpZ2vwL4JPBfga+L+7wKeHd8/Z74nvj57z9c/gOhdcrMNp2sJYXMZcHX2k3qsoq9giYFn35iWiamDbO4mJRPbZs590FHw+84z1rV5NmgQNaWT3SgdTtn3c6pTctsJICyxzoH+nMReSfwF0AL/CUhcvw28HYR+eG47c3xkDcDvyQiNxEizzc8kuvMbJslKkvyYEqek9xSsgycjwuL5SJkcrCF2/2r8bE1THKKNoq8QHDkgIuucYnxYWFfPedQtclhexorntN+2su9zmV7zGdhqvoDwA8MNn8OeO4u+24Dr/z7XGfX2ReJouNyVd2p0GtIH8scbfGDVuLBtvn9bLBabUTZsEGBecvVLLzNTtd4y2ZT07SWwxubHJmd5qr1ezlcnWa/3Yqw1nGsQsNIShnQ7xEEfYdqvaXd68DBOSCs0wwj1vA6p5nEcxsWviJJi9cmQEucCmtVw+Vr93PZ5DjbWrPta7Z1wkk/43i7cQb+6rNvo3CgBxZrgbyHZJhEr0XdQzSfeqjpeto+jD7D16lV3pyKeVsFLpgo61WIUif9LEY6w7aGKf3cj+KrX4Hql8FWoPqVPW5tFHH06re/IUAn4vvdBqPcpT4OSUPdr/7OdFpgg+2BpBiw0erpXiv4hQ08s8qz/9AmN1xwJ88+8AUgrP/st1ucdGsAPOjW+P4vee+j/MvPvo3CgSbTFu87TE4Jkh+O0N4bxAupdULOaaQvE+ULinIyMb5gY/T1NJwzmInDzy2oZCd2SK6+OyQvKG66VY/EpbFE1UlU45LSU0oflDZEDpaMDgAT8TzJS9J5dxNZEVG8i4GsILBWxnFvsz8n8SEKbePUrJpsLqMlx0mUHiBGls6ZggMEgk32hUHUgi7CiMDi1ju5+xd+C7HC5OhhDr7sWdz9i+8HMUyvuoQLvvnl8RoF5Tk6573zfVTGMTUt3ggHqvGsAcFIHCgRCSESC2UnpQcistWm7QYt9imHr2RV/LGrKw7zpH/3aowot7/x3YhvufIN3wRVzR0//S6a245RXxZa/WprIi9MOD4Paz0T07KvnlOL50C19Yj6WJ8rNg4HkrL7RscLS6a9hcBQSXd+589YDnRp7UdEqWpFpMUImNqyftlBzNTiVZFKsJVQ1w5nFBelN1WF+7bWqWNtbOErJqbl6KxmZpoVqH6ZrCp4XqGpZadIqvQlvW18X8Ucx+8RDEqnq6znwT//NLe/9Q+ZXnqY6YEZah2nP3sP7sQma1ecjzUB0rqwVSbBzpuK1oT+0ZtNzdQ6tjZq9tttpuaRrI0vv43CgSZVm9vq2giuz5z1gpeVVpWTzzhvduhodNZfcT78gqs5/IKrufnnPsDJj3yajS+5kmNveh9Xfvc/pYpt8mrrsNbjnMlsDlXF+Zp5E77qW9cPcajeZN0sHquv44tqo3CguuCqJ2xz177X5O3ZgeLzUKl5L/OLFjMJX1W9PqGeCF/4yfdwxbe+hI0L1gCXWa9VFZwpC9vFJlbeG1xruH++jlNDvYJzLI8llUDoOGEpAmU8EJqTnDAP6wvR7TbVhzDcHf/o57njXR9BgLVLD9GennPq08e49c1/AMBlr/6HrD/l8kiHDlx9kZCbubgmNKlb5lrRODua/AdG4kAB29OhEneLQABGwz5t0ScjDW176syLcuGLr+LCF1+V92mc5bx/+LRedw8XFzKt8anDXmyq0BVz00xvfSSNFWAkDlSJz2WGhA6sIv+qrPalIazC56bjuzFTSyuhq+mR4BquEGdREYgc/VLmQERhAFqr072NwEbhQHvReSrjqAhTaCA3EEdCu5WUD5V9pnfTxigtRau6ANVDl8g3zuShMc30VLv9Dk03gVDiGIONwoFK2w3zUxU5RylJ0Pog0V227bUFOzVZcrS0PfcD8ia3qxK6RD1BZPqlktA5LSwouhUvbJksg+ULCOsQ+NWBv3yk3Ziuh7RITyss7NetHSXsdOLC1xKOa6WvC5Y6hAzXl1IupKIZQrtipi6RZfC8KYTnBkNajkqS8h52ohN1Z3f68hpWfJZGCAeE87UaknLvTS6uWhmugEtsvuBDQXUkUKxROBCE3GXhq6xYWGKjezhp3QOAP4hYpWxCud2gPQB+ik4psU621yp3LZ4NM+/tey7baBwIyM4DpVZGcp60PRQ6K9Op6yRKc4Jq5BnSLr9xIi5mh4tDn4sr3o7QVKp1nahlWglX42nUcHd7Hg9GYNm5bqNxoDSE7eY4CdBuxNN6W7Rx8Xl7SYuGnTyyVm3OkxIDNvf88UFWAUDjMOa8CSAz43FA01im0xYryqafrKjNy2Qz2/R+3JIt4TWo5xg0v97NhnlTT8Fwl85mpaW1nmQJodg0FvUVvjEwt9QXnGbDLmjUsj0SB1qxMpbAVqyMlT1ubRRD2JVv/VFoylaphMJX+V7DQ2qflXvUS/dapc/OiBhrkgIPBNCa1Q7VmJgbafjygFVMRDJm+SnCec6/6ASvuOJvmJqGua9XrIxlMVN7tHCKbH7gFBKkB7QlyzZlIPxwap8cSovXJrzWEgumg9cqYXko+VwC2Xvh5OaUk27Goer0KoleJrOVQ02k4UCOCEkoLpmYblspHicm6FqkY5JoXXLGxS13cfxt70KsUF90hP1f9WKO/+JvghGqi45w5Fv/+9CYPB0TO9SbymetMrUe11oeaNa4dtYUDavObRuFAxFRhkIxWvmBEk+i6xjt0XV6p8kRh3hccIj64gu4+Pv+V6Ty3Pef3wltw9HX/8+IwD2/8E6am29jds2l4T6K1UNjFTEeaxVnAqjs/sU6x93GSupgqWwwjRbRsGLY43T5zF4to0yyXWfpJtKDattRf2pLdcGBnDtJVWGPHMjXTQoGIhoiW6YMhXxo29VYdjrvuWqjcCBjFFS7H1U06IelCFRomqqCYlCjIYkeBqMylBG5YZWy9Ref5P5f+10mR49Qnzdj82Of5L63/x6To0eYHJhlsFl5Dx1PDUQczhnmbcXUNKuV6GWyqvK4GGWgIwUO9cCSo3ivO8Tk8vvBgqDGBHv/857MgRdewz1v+W22/vpGznv+dex/3pO5+82/zdZf3cj6c67P10qOM2TIJpRiHdvwjcFG4UCpS3xipHaQiv64FIavUKrwQ9RgsVcGxDsTopQuqCYGY5RqY0JVBWyP90K1McHObM6tEmzVGM0N0AEWbYUYz8y2WPxoYK2jcKDECxuSCp0fRJM0xbaamay96BOtozh71AhbH/s0x97zIQCmlxzCiOcL3/eLoMLkksPsf+aTcD45TmDJGlHqylFbF4RWnKWqAqCsUctMVrywpTFrfMD3SHidWuwaKWAXmc5D/CxtDzgenxPsDmAvUYXn0Auu4fALr86O6RX2P+8p/V7ULl6z6Aqb5Kdq49mO29dsQ6Oj+NqBETmQ84ZJ1WbFHq+CG1TUnfY7dXT5Sdzf793JI10nXSvJXRrjsbFrR+vCFKxkw6brLlobI5OnlvaMNUA/2zYKBwLy//YSYO/osyogwUo7J0mUoNDF1fSGsywTlYbGeG4bG4mX56mtslk0G4fAfFVR5k2V4RxrtmHdjCP/gZE4UF0MG8P/2Ro/F1FMERVKx7LRqUzMV5LZwblKzS9rPI2zXVSLOU8aJlPO1fikoarM6pZ1s2AijsUKVL88lmZhE+MyqTDxsGyRpyTnSGQ/6HdaTTO3h9LZKBtTJSRiik62avEqoVNrkWul6fukConzttY9CfBz2UbhQFZ8kGpCEO33is6OMtDxStJOvW10lGfY2cUMuiTbiKIxQYYuD0vHlXhYJcBoBaiNi9z4cdCbR+FA0LEmqiS2a0BdRxos8xkAvAkMDbQn0PJI4kIYmkwviiVQfckh692fUTbqBetmEfsDjWMaP4qSsFPTdeGIIisT0/YWGEtqMoSIkZwn2XDhsSqWBPLwF/Op2rre8JccyhVST+m57Ji2z25z0J5+bL6Is2CjikClgEralqSYet3q09AWuexAr5MHdIl2mXB7lcBGHczk0nGtN2A8qpbWB7JiStBT4wWA0346Gkz0KBwo5ROpqUJykEzXsboLE0NzgwWIYMKiPmWjfzg1vZwqnadVwzCLSQuRzoeVZ+cM3vrYrFM5ONliw8yZiBtJ7F+B6pfCVqD6lT1ubRRD2Et//9uDZnyUuPRqWHhLE7ldOf8pK+0RUvpQfK9EIGwLznuZiJc9fwC224rN+YSt7RrX2tC1fh4647Ov5dor7uSbL/1TDttTNFi+5qqPPxZfxxfVRuFA95ze2NEX2nlDG5tdpg7zNlbL0yrxQ/HT0ycpAVYNU/HaOmzE+aTaWVovWrQVi4XFtRZ1cQWxCorSAmy3NQ6DFb9KopfJHnhgA21Mx6DwxTOEgTrhohNoGjq6TjLPzq6tCovb7+T4r7wzgOgvPJ/Dr/46RIQTv/tHbP3lJ7joe14XztsK2ED9gXBNmSX6s3B6McGpBNXCFSZ6eUwXJqjkQHac0hHUa8GvIQwpJWNDBfHxsz68GoDJ4Qs5+m3/EgTu+ZW303z6DiZHL6H5wp3hHI0pQhZg+tBWADVhXWhbg0bGWHDRo0iizdQhU49MPUwdTD068WjtUauxPhEjkGHXrhsAasFXoLWiE0WnitYKExtWtg1IXWEvOMDJj/wZGy96VvC4mYOpQ9ZbzHqLmTjE+kxuFAM2kg03/YSF2tEUU0fhQJkYGLHPoR2rghfEhQcuRqb4jBckfR5HE/HkSIQCrSCtIA42/+YT3PGjP4E7dQqzb535pz/H7ClXd7cQeWABBx3uydi4BhVXxJP5kXztMJIhLPQ9JBL7IqgeghO5vRNlCFFl9w8AURJ4cO2Z1zN7znUc/9Xf5OR//RPWX/B0KIiDpupmZ6GUKp1yT6HLYdHRVOJhJA4kxmOGPAcBVUXxHVVHIzNDOuZGNkOmRyMgTZhFqVW0bZE6NqNam7L5sb/BbMw49Ucforn9Lk7+3p9y6Kuf18E8BuwQcilDmZoGjxnNEDYKB7JW8WkcsoE06JwBo+TfyaTsWAsKcnESQzd7ghB5okNsfeLvOPn+PwGguvgIF/0fr8NOAIFjP/QLHHz58wHtSSckgbp4NvyiwogykwVODcfbfWf+izgLNgoHqiqXBU4g9r5URSOzNEealIdEBCGWbmofmaR5mm8kaqIqG8+9jo3nXEdqZq4qIUkGLnv9t4J0emU+Lg2oT00WQk5krGNWtWz6KR4zGmD9KP6KxMOCRBg0qHqoumYH5ZRdczSCTmcsfc6AJh2S4eSExihKWJAsZTI7KUwTKdTak8gUEdbrBSf9jG2tV21+l8lq6/DSyTmJeEQE5+L6izdd2xeNzqOdE2nMjZJUbsdS7a4hKUpJyTpNn2kmFlZVqr53TuVcgICsVwsaX4FhpZm6TGZiOtNXYI5iuN4g4sNsK5Ul6IYy9XFZSIq1xjiNzxwxCUNh6rQBHYmxzyOLsI80dBKc1zlDXXcAtJVaz5JZQv4lcHuGlBoAT2wdFBuBd8cNWalDtqrGYqmxPkeZRGnu2KtxCCvWecpia9savO/AbLVpOWg3OeVmZ/ZLOEs2CgcKjNG+7CUJ4F7MrKDfcGEoCW5jYpwaM4QmDEUx1oaCbIvJ0S03UohDqI1Ew0SrTue3xrNhF8wkiE3ts9uP2ffxxbRROJCRUK7o0XCs7wHcF61FBGyUKkhicKVDZfgpZOdIVfhEVYZOVGUoMd66sBaV9FM17xMRifUmU9OwrRNmslIsXBpLfZqt6XeBHpYrW9fNiqxRTFGNN8UU3Xmh0QTVIEeY8ExQa9Yg4Av0OoF4b9hu+hCQtP2Um45m6Eo2CgdKHK3MnEhJbbHPpGqxpqtbhC4e/XNAUCMsZ1fpfMb43JDBpNpbNFe00yv7EpXn8Cq03rLpJ6PpjwgrTPRS2AoTvbLHrY1iCPuyD3wn222FNUHPa6NeZH783IU/MeGbh9x3W6j7GFHmrqL1hu22+2p248+nWVYdZ27zpgpow6bCtUntp4vu02nLCy/9PNdtHMOr4UG3xhue9u7H/Lt5rG0UDgSFamF0nPS+Nq6Xk/T0wwp5y7IhA8A0dupIeVWasbkBkL7kw3tncS4tVgZUpIsd9OvaUYsPSMSRwFlhRA4U6p8FaGvQOKGNUpO93tF0zmNQFt4GmabC4XqdOgqKclJsTu8rG6JQrqOpBGdaWPDg14MjnXQzPDKa1ehROFDrDY2zNM5SW0cjtv/jpo5lA+cAsljujuYLRBFeUTZvvofP/of3gzHMLjnERd/wpXzqO97K7PLzkcpwzQ//87B/EY2y9oZRZBEi04l2ypFJFbpzrBxoeezBrRltG1ZlrPWZwpMabqZuYkMZyrQSnabo5WfpvaqgF17EE37sNXgVbv+P7+HUvQs2/sFVXPavvxZVYXMeutC7NvLHTLgHM4HJ/jmn71vHNZYTizWmGy0NdqXavEy29bnzMupwYclAek34nkTpgQ5cP8QAecnowZ7FKAJhH+embB+fcuqvv8BN3/lLrD3jBs77ii8DCKD6KjijrRzTuuXSAw9y49YEtwhkx/12mwfdGnM/iq9+HA5UnzSZTuOtBjDYcIEiQYL2WKqWlNvusiymFk7/3ce5733/hcn5F7B+4Aou+65/i1QVd73lrbjLnszksqO4KvRElCoUXuvKcdHsJJ+Si8AJs9gf8aSbrRpMLZNtX9girYToYTREICI3LDEsksUo03OWEkwGUdapOMTA9FlP5ZJnPZXjv/YbnLrpk6w/8wYUWPsHT2F+/Bj22otiFOsS9Yl1nD89Fd57CU3G07LBSHhho3AgWXeBSgwhaS3F5jSKvpVw1lR62O03LMsUaULVtEhdBeLh/gm6DrrmwAnbN9/M/q98AUw9NII2Bp3ERBrYb7cx1uEqy8Jb7lgcYj4SOCuMxYGsBxMr36Zgg5Y7ZYxPH97aE5or858ib9r66xs58b7/D4DqoiOYCRz7oZ9BbMX0micwu/ZypHJ4b3OEq4xn0Vbcun0on9er0KjFqVkl0UtlAkIUjSum79kdYrU+iad05b9EAowOl4TmMhIRUFh/1vWsP+v6fC0UZk97SuFwim8MMvFZ7tKpcGCy4GQz64HwZ6ahVsd9zcZj+pV8sWwUDpQgExKB7gnkNVw09L6DWYTtRbRSyZQgr9LhpSl47ibgnH0cFlMHDhGFiHu2Eb0ohHYvC29ZW59z8vgG++qQQFvx7KvG0Wx8HA5kSyB7yYSIcAzre005hkhE8vawGCi+czJUMhTWGE9Vh9JI29iMgQxLAT6L7No6NOecNxULXzGrW04/UHF4ssl+u52daAw2mmp8wiuHhUTtPaAjp6YamS1Wn8PxHU0nMS7K4Q06x1ONbNh4zdxX2ijGepwzOG84sLbNzDZcvO8kemTB8cU6m37C+fXJL+I389jaOCKQKX/kbmgSBjDXaKkpuEin6ZVWkAOvS7NSj/dBAiFdp+OgGTwdhbkyLketqnKh60vsDpuKtAtfsc9uU4tblTKWyUou+rANXbKuX3R67yLlp6DkFBhmCLKZxvQRhl1+pcW5w3MHxg946u2m4raTB9la1OjCPmQ7vXPVRuFA1vo+u8J4qrjNeek5TgLGi0povqBdi7rS6RQyBwzYkTOFSNR/n3Kl5Eits2zNJywWFUjQ8phJu4pAy2ZWFMcgUojGWVkUXTGDpLXYd3gc7CLGAj1BOpEyLU/n6V47FzlhUTYTE3UyEOa+Hg0uehQOVA4/pSVtr6G5wfQedgLhh1JPJh7XZ6EOqNDFOdvG9pcMKs/EtHg1IH40s7BROJA1ISepbJcQexUqOhmChC6sjA+kQ+MxMXkJ+hbFjGyQqmTNi3IboMUaUiIg5llasaCJKOoN++ycqWmY+3o03PgVK2MJbMXKWNnj1kYxhL3w/d8VZCUHs6i0DjSc0g87zJfHJJB842JjhQKZWM7merKWztK2oQOHquTkuUQAuNZw9IIHeenRG4HQ3uUnnv7OM/YdnC0bhQMl93CDqTjsBNcDWQJqeI6UJ5UJddn5o7SOnZp6Btlewwavgm9ix/rYBP2+kxv4o0FFaDWNXyIbTrlTJCqB9UNLQPt0bEa8SlJx3v1auzlovygbH07QuUUWBlpB64CTnkalwj6L/9y1UTgQxBXgwbYy+uylg7pD5Vl0h9zB6c/fy81vfB9ihNklh7jqO76Ke37vk9z7ex9Hnefy7/ha5NDB7j68QV3snu8iVNYLk8pxyk3ZZ+erdaBlMiuhuUJZ+ypVBnerhyV7JOWF2WWHefJPvgqAW/7Db3Hyb2/l5N/ewlN//OuBMHS2zjFvbYCMxEe4uQDu10rZmC445aYcqLZWQ9gy2cKFFZqStmNkl9XnwlJBda+cJ50DQGzIYZwXvK25/2+P4R18/Lt+lY0rj/CE1/2jvOItQpB5ihBbrX0QYdGQZz3QrHGkPr0awpbJ7n8woPt69SrR3k/UkxroFUcLJxtGozT8GeXUR27k3l/+IJOjR9D9B2m24OLvfQ3Hf/l93PoHt7D27Bs6WpDRIJPgIsXZBVD9g5tr3DvdxwWTU6zZVYOppbH2gUnIW8qAk7hfcT4fWvsWTI24j0s5z14Ae0JeVD/pGRz93mdw/9vfjW5NmFx2Dc09a9grruPUp27DXjVDYrLc0Zs750EU5wyNt8x9vUIkLp1pfEQ1HrW6J21HS3IhhK6tSs+JpHACbVtkUgX46mwKYmhuuxNphfbzx6gPHMGeNkgjaBVgrn6i2XHFhqGsqhwb1QIjfpUDLZVNfdGNnkztCSD5yLyIij29rvWFEwF9Lpjvtm194kZO/t4fA4GVceBrX8aD7/wdjv2nn8Ps2+CCl34prvawFiKO2TaYRXQiE5sK18qkatlXjyPyJBuHA8HudGWIugfJkehTepSO6jy0KBeFwPoznhpYGUn5sBUOvvKfRFmpeM7KZ76ZL4ZOBLCKmTjW6paNao4RXdF6ls6S88QfLdByAo0n/YgBJTZIdkrZA8gUoHJfsZodUwx4o6ikJlIER0uaZBKm7D2rlOms4eBsKy9yrtaBlsl6zqOZ0yVVJBzm4YzCuQqSoXaYniGQHghDYkFaNFXo1JoZrwI00kWtfF9hCDO1Y2O24ILZqfzRlluJ7i6NZSrz4IdWOocYcsdKHa/h9L/HWC2n/NaFY70EOajkLJ4gK2VjrpW2x8gnVplWbebDL3z1kIrR55KNw4EiG9RkB+rXwLwr2/sWaEJRJCn8DGnOhG2e4DDBcQIQreTVi2hwHJGc82iaYClRKSgwM7ZcTWUc++z8IVfHzyUbhQMliYLkOJ0MU6p/dXSftHCYuomFoasTYJEiMChxjWi3YCHhqHCO4bBFcEgXHM0tDFuLmm1XcXCi7KtWtbClMlsV0/iBJafxA/hGqYsxFGEpj1XxvfxIRPEUEpuJbK8gppv+aylD3gaiYWU8G3ZOLY5NNw5I6ygcKA1JJeC9jEIl/yvlQv2ia0cLKrnyHeWnA5SFfQDjY3TqrT7ixXTJeZLVjD52oN7mwskJAOZ+/2P6nXyxbBQOlCSYhpbZqaaTfEoV+x4WSOjlTAkUX8pY+iQNLqWTRQCZ70D1RoLUZl6v9J14i1eh8RVzrTjdjkOxcAWqXwKTFah+ZY9XG8UQ9uzf+R6c371lS2lDecqS1lzmQJPKhabh7MRJl/CPlJhnpeYInnfOhCS6IBZONxaHHaP4AAAbLUlEQVQ86YL7WK8WLHyQU3jfS9545r6Es2SjcCDnAw8d+tDVZNZoZlEk6+SZZMf2IE6nOxwy5VTpzOXsbti4iihWJ3T5VOMtp5opc1dlwuO5bqNwoJSgSkyOh2D65Dyp89hui3g9aGsPoSg5wsguAc4ULWFcovIUtOduP2VqWyam3ZUVcq7aKBwoWZphmahbCt2w5fzu0SlP7wfnytHHG7ZvvZtjP/dexAqTiw9z4MXXc8+7/hSAxe33cfR1L2f/867D++hkZVRT0LjEMLMN++s5c1ex2a7WgZbGjPG7/iFG+rqoyR4qV8rkwUQRMg5zxUGuLUD19YE1nvgj3wTA577zzZz39CeGKrx2tJ5cuC3gIl4DJ6wyDrNqrrA8FvQwXO4HlExEqWJ3DlVJOPc9rdfyrlhorKdhsRHATixrF+7DGM/2sQeoDm1g1yY9MH6CH6Xr4mO7Fw0iMDV+VQtbNnM5T+nox+WsyxZdOkozuwxnycpI9cCffYY73vYHTC89THXeGirKiQ/dyMEXPLl/HhXUh1JG7lzmQ1POxSDRH4ONIpNrWsuirbLkU+sMrTMsWhuUBKMclPMG5yU/koBcSe8pZ2fl/vufey3X/dxrqY/s58EP34QROPHhz7D/OdcC3bKAVwmkwoQVivBarxLUEKNu2VhsFBHoxMm1rmez6YBlSSQutarzfjDVJr3WXokivQ8lDMEvHFJXGKO4ep2FzDhx5xy1FYvJQeZbYZbVNhZtDdoGTJBK0WABsl5ZUEdcQVqXxuSuacCBxXianlsb4KVNTGGGlB4th5IEfU2W0IUKW3/5CU588I9BlOrC89l46Zdw3+9/mOn1X0Jzz1p3vOteahWjT0V25lCDMzQEBcUx2CgcKHaNC5adhUDsayKeR+lLlUr+p3+uwpHEh3Psf9LT2H/100KR1ADbcPCZL0S8wOm4nw/3YZqI4NhQvA3KQUJXuN12FTPbcnCy9Vh9HV9UG4UD+f1tBG91ay87THdGoL321QR/9RJXIePONlTaJSbKRMdJzileoAnPpo0lDi8B1gq5xd7UtCtq81JZjhoJz7z7PrqrZ+22bzhPYrN2+FVCiSKK26HaidgJyEIQb5Cmc0BtDFpQZiemZc02NKshbImsoA/vwDUnK4tYDzcLKvctt+XXaZUwvjca+fAWb+PhRpFGkCY0fJgcbFivF6zZhsq4XfFL56KNw4EqDQmseQQRRovHblasQu/QyCzZrKqd00LkhAU2qvjuMHEhEgU5hCAGPDUt++w4GKqjcCBJCMDEDXsY04erIiRgPGS8c9hOP3dKDhtzKzUKtXa0HifoRNGpo7aO8+rtTOeZmVV3juWxyAXbKwLJYLqeA4xKnwhYnK8jGxZDVckVi/lQoPvE/UpH82F/tYrUngNr25w/PUUtDq/C/c36o/qTl8VG4UCSsDd7OtBwQ3xWjUXQnbgf1YRn1o7qLORFyowENppHtHDOuGt0MtGQSHsVanG5L9DxlWLh8pixGjhce3y+V6PNXLrYBRcuKSHXfkZt0qp2G2tvJu4nsa1dTujpBDa84DTopZ4n23hkNKrNK1D9EpisQPUre7zaKIawp/z6DxYyTCU8IzzvFWT75EHJBELoNMjStqEqoo+c91KgFwKNmcZkUqE4QStl/cLTXHP+vVy0doJaPMcX67z9hf/5zH8ZX2QbhQMlx9lZYU9V+L0C7RDiGvKdvvRTv0rfsTNCIm18hJrlMkpaANLQ4jetXqtEKEcopq5KGUtkyXFKyo1QALf2YEAEx9oZnsxgNpcaMyQ+vXOmA9obRVxsL5wOs2nBUUM0iuesxLNRzUeziAijcaBi2GIn4m8oHgedeFzo3BEiz1BrPr3f/sLd3P0Lv4VYmB49zIXf8tXc/hPvxM8b7PqUi7796xEzjcNaupGifqbdPXoV5r7a9Z7ORRuFAwEdD1463fgEbS1x0hk1qLIjXxpui0cwu+wIV/7oa7DWc8cb380D7/swa9deypFXfjn3/fofsvlXn2HtmTc8ZHlEVdhqa27bPDgaThiMxIGS89jCcZJ6c3AImx3DeYk9pU3veIUdEUgjOMhOwlAnokhtWbv2Uk795edCor25hT0vriqXWKLYezGB1ozxLLylXQQAWjUSVsYopvFWNDuP3ZG/9JPV0rnKR7I0dNn0mQkqO6c+8nfc9C//T9oHNpk+4Sjbn7mdz33bz7L92TvYuO7SrjOaKbrEFv2oyyGrEv+QMgznko3CgYbTd+hA8Y0zkfocgPZ7ceitdCvZVrSLYAQfOPT8a7nqjf8L1ZH93P++j7DvGU/iyT/7Og4852pO/vHfhN6LCdaR7qXoE+RVWKsCsfDAdIv1avFYfiVfNBvFEAb0yICPZHtKWHp8rmL4MgKtCwB4bRuo6qACvT7Frk+ROjTKtOet057e7lokSldUUSWUNqwyrVvOm2yzZhsMuurSukwWok33vuOChaEtNV6AzmH2Yqfm+lgUpDOinPjo57jn3X8OwOToYY684gXc9u/fxYN/8DdIZbnkX39dL3/ODaiIi4xGmVUBiTgx7WgYGTASBzq9FXjmadHPGMXawP5MuYbbReJSi8YJvc9Uel3P1p59PZc/66n53G1rufh7XpVb/rbeQBuPjYXUlAup1YwScCpBNx6ozEorY2msvXutmwEJhZhKBIbthVTcMWMvnMlqEofv75PoPo2ACaUKWoFK0TWHWJ8dRguYrVNh4VPPIbOi9SyTVZsm43X6Y0nC5nSvy892WFnWSvJQRYf7XKVINB5LZmX4CbhKUBFMpXgn0Ib72gunNAYbhQO1a8U0fPBbqQy29ctewRGk2JZ2i6RS9Zo5X0jAOKsR1Gq3jwGtI3aoCezTjAUqpvGVBEy0H5E/jcKBdNblE1p6TKpvpn+GvDHt9tkRkTxZbVCVTocMUPGdSk86Nl2zjUOaIdbEQrkkrTW5uBK+ajC1TCb0sc1JlimhA3cbQorosMNSS18nO5wt51cMjk2OaxVpDTQE0bvoRHc+sJ/NpuaK8+7HiI6mnDEeByrHqbSgV2CZg2mOQqIJ70zfkYqoopXujFIPlc/UUcjFhkRbao9YH9u7VGwtajbbyWgWEWEsDmS1Hw0SWyIxS0tNsOHvPxxJhlGpdJqyPFHCN2L0EQGxXc9ESXIKLuiWNY3FqzCz7WoWtkwm1qPJE4bcMCHTkPN7JfPfu+n/wLN6Q2LnoEl8LrfwTaB70dgLCBAfV6XDMYmH5p1hvVqwUc1H06l+HA5klIAfLTYWiW9mlMIOMmC24dBULgnEyCP5WRMjqNvHaGBsJIyRlzCVV7JcVNtY1qtmNJLfwIqVsQwmK1bGyh6vdkaGMBF5C/BPgLtV9Ya47TDwq8ATgJuB/0FV7xcRAf4j8NXAJvDNqvoX8ZhXAd8XT/vDqvq2R3L9J/6/PxLuI7JE+1TmIoGOlvsg5g3S299EbI8qQaUwntNYn/HSzkVZp3hMJy+VrhFb5DnbMTWs8qLrbuIp++5k0034sae/65H8eUttZyoCvRX4qsG27wY+qKrXAB+M7wFeDlwTH68Ffh6yw/0A8DzgucAPiMihR3Jxa30onhqfcTn5IUGQLj2MDQ+JQDFjPMa6cGyBCSqdB9iRZJviGiY+krhdeOgOcD6N4VQzZdNN2PTjaDR+RhxIVf8IOD7Y/AogRZC3AV9bbP+/NdifAQdF5Cjwj4EPqOpxVb0f+AA7nXJXS05hih+z+1GHD/Jn1hb7GY3O5/fAD3XV+5I7VlUuO68xPsNBykq/pOUE7XojWlYLiQ9nF6nqMQBVPSYiF8btlwK3FvvdFrfttf0RWamLunP7zuXmcshJBMKeXqqScdGLW+/inv/rNxEj1Bcf4eLXfQ13/syv4x48zezqS7jwm16ar+Fcp8WaI5iQNeiNKG5EqefZ+Et2Kx7oQ2zfeQKR14rIR0Xko/fQOU+fELhb9Ok/+ufsf1ZGpcklR7jsDd/KpT/4raBw/3s/xPTKi7n89d+Mn7dsff6u3BK4kzro8iNjFak0O9HcVzQ6DlDZY+lAd8Whifh8d9x+G3B5sd9lwB0PsX2HqeqbVPXZqvrsC+gTCpMNnWH34ayo4svOR95ed5JOUlf4ecvkiovxXphceTGbN96WHag7oXY5VcQE4QO153Q7zcCyc90ey7/iPcCr4utXAe8utn+TBHs+8GAc6t4PvExEDsXk+WVx28NaSTdOFpSYZdfEdkiBNibkMmU+k86XnOz0R2/k1n/zRtyJU0wuu4DNT94MwObHb8ad3O7uxZscffpy4IALlfix4KHhzE3jfwV4CXC+iNxGmE39GPAOEXkNcAvwyrj77xCm8DcRpvGvBlDV4yLyBuAjcb8fUtVhYr7H9RVjyMTAob5XUm3uD1tdM4be2Cn9Xq7JCfY/98nse85TuOct7wURdNFy2+vfSnXBIeyBfb17KV9nnlmEt/rIkV91aS1MVf/ZHh99xS77KvC/7XGetwBveXT3Ir3XqoOIQ/xhh9Py4r1TKYYwxTctpq5wTjBrM2Q64fxX/3dYqxz7+few/rSrOzhHPI8IuelVTqaNZsGVBG89120Uf0XXQUP3mIl1kaZUM1SV3PRy9/OG/Tb/6jMcf8+foQqTo0eYXHERt7/+LYgR9n3p06mOHIidziI1eo9lAAS2FjX+Ya57LtkoHAjSym83LPQ6dQxyntKSU5VmBxFq33OuY+PZ1+N910vosh/8nzAmDJfq+8NVeV0tmzYobM3DAuJYkuhROJD3ElquuK7soLZcG/JdI6kBlHRH6YMQmUzMhfpKz2W0G1ixUFk+qwoOj8HgCZgg2Klbdq7aKBxo+9Q01KUSDcdqR68RaJuullXWq9LQ5ookO0UkazzOd60wJVE7eu+jk0rIc8R050+zPucMVaW4BNuOmGj/SBpanwM2Cgeyd05C/hpHLZVAuUlUHD8JYK+20j7C0GoAiBnFVGH6bm23dpQWJ8ucCfoOaEzqVqY4l6bv6bhuOaBtw42ph21Xsy7jgLWOwoGMo7dmLYC03Xu7kEDFkWKHCDhL9BxvwFulMRpWx6rAvJDK56JsV5H3RQRK5RDFe5tZrdDVzlLdrTGKeqFxFm9XEWhpbHHEBWGToapuLGCWiI6MIlQJUauVMDAppCFKAF+ZXnHFV6BTDxOPmThs5WIxNjhLcjDvDFJ1Qxd0dbUEjd2rb/W5aKNwIACtgzohsBPamjarhJc+flCA4rPuV6xlSSpLJLjzAnTbosaitqKdKs3EI3VwqKpysZxhmM9r3FaFPZhgJt3wZivPzBbh8Ry3cThQjjSyk78lxWfJMj46HkuYtWV9DKED4UN2MHFgWgm8+EXSRAVfK4tJ4MbjgdZgTxmaDcts1tA0FYt5BXOL3ViwXi1YjKRDxzgcKAeLqCaYmanx2cQV6TRTS5ZmbSXovnSuNCTa4GBaga/jeU043jQSJJ22BZ1XgeLsBbsVGlypCtsPTqnurakX0GxUQepgJMPYClS/BCYrUP3KHq82iiHsyrf+aMfzitPzkmDYC7JDPljeDj32apFg9/YR2A2oD8X2JMDrJM/6pA2SB0/4kju4+rx72HI1/8/zH1XdeClsFA4EdHmMSqAUF6WENKMKCXK3Xz4uWek4GRym/W3D3MUUnxsgSlx2gnPkXIlW2G4rTrfTFbV5mSxXBeJ/d7FdmSEIWmj+WItItSP9K53LDBxrx0UHq9p59haS7aBdHxJ6QfATzUKHa7ZZ1cKWyvKsq1sZLnE5XbSh8xrV/nCWVqfDhx3nq7ATH/gjtj72CS763tdx/y+/l8Xnb2fyhEs4/I1fk/fRdA0vaNScT0sKKspa3bBmx1HGgLEk0XG9R1JUkK6/c/i8D/QKXTQi2D0+ytd5W+UxdXiILmhuOwYCi1tuQxcLLv7+14JvWdx8SyjeFgVckgDvxEPtu471BOLiWOAco/grMokwdkRNoLGefsaQdSE6wEn3OWLJodL7U3/4UfZ92TMAWNx0C7MbrgJgdsNVzD97a3Dg1Ngqli1y13rol0VURiP3NA4HSlEFIju1lB3w+UfNDlRuS2TC8nzQx0q3ju2/+zzr0Wn81laAthrFrs/wm1tdhb5gxObz2a4OlmxixlHOGEUOlCvjxvcAXwlQ1tlO4FhuG/QQLedO/slfsu9FT8vDoFlfQ7dDd3qdb2E3ppmVGla9i2ul/Mv2C6krZuoSmbF9Gs4QETicbeXmCrvNxHbZrzl2L/Ob7+TEBz9Mc/td+FOnaW47xv4X3sDWxz/LeS95RqQvK3iDsfG8Sm4uFTQXut6Icz8Oas84HCiDv4rhrFiv2U2BEMB7GAID+7jm4IDnf+PLgHDOW7/vzRx55Zdz71t/mzte/yamT7iY9WsvzewPjw/T9ySZkCQ0JdxcSqBXtJ4lsw6LrANAfRzO4nuN27w3e0hbagbnSwcUyue/4kdeg3PK+a/+ajoZTM1XKIH0eBMiT5rWx+s0UTt1DDaKv2JIGlSVh53jlKjCFJGSQ+XePgNpqE6Mrrtu91kBHEv3ZRJ6EdSFrq1AbDY+jlnYKCJQiV9OOY+nS5Ir63vrhdBFor3oOGXCPXSYPne+axmTE3LpRHn7dbiwDrS/2gZmZ+aPP8s2CgdKP2LKaYzxeUqfPnfe9EiFJeMiWZe3DLflK+3CraebgZEA+B6JO/VqXhJUemam4TSrLq1LY/PtOrekC8OQ6SXSdeWys1RxxtZEinFaVOwiUn/o6hJu6UWscnvoCx3eBwdLBMTw3jtAwNgwC2u8XSXRy2TtPTOwgWGRu9RLt4A3l9C/2VhHXQeClnOm12msNJGgN5ZmUWGfziET9jn3Eco0oDJfIncHCYuXYeGy9YZTbjqaDh2jcKDJAyar6ZT/sTUEB9QE6o4z0NrQJaPXYLzqKviU5QeK2V0se6TFyUDXCfvYXP3vO1GKWLYC1xp8G3okzqcr3filsua8gMkRB6gEnlhqdejBOOkcJqbR2dHCiNezQEyMfLEqsj1K4brkI4kBW6gSCt2KeKit+Q7Y1hhcUiwciez3KBzIzxIllYD8a4UdGXLpJIUaj0TKcTnxEgU7j44m0secxagW5BLIDFgI7AxfxQiXHC4RFRtBWhNIhWqoRyJ5uQLVL4HJClS/sserjWIIu/IX/l0fzwwdyTCoL3U2RCAWyMM8VMXKxKCBPUkiU5xkbRdNLREl5EyaGjgoiI9DpBfsItzL5IYHecbFt3F4sskbn/n2M/k1nBUbhQNhdYcD6cAZ0mspHEaTPFOqnCtk4PJglqQlNFYDzlkJSfZOfbF4PjTmULF0ERtRtd6ORjt+HA60q6Sl7qTe7LpJ82eJBw9kPbGs2gyc+OAfsPlXH+f813wj9/z8L7K48y6u+KkfRirbwX9scZykK0hOrAXwyGohcZlMKp+HDfXS4ZKTxcjSawBemicPZX2HkuxI2rQs7giYaHNgjQu/41u45+d/Ca09lK1aInQjy1420s3YTBckxxKBxvHfIJUthOw8afVXjGIqRSJAXqrikUDwNiwm7nz48GyVUx/6czZe9Mxw7jWLObAWwlVd7J+UmtOj9qFrSO3DupNRrChrdjyic+OIQNI5TXgPiZmRPycWRofDXY5Mg80FS1Ubz/wzn+O8f/x8HnyPBlhGXJg0E4fEHtWZ3ZrHQUHxoUlDTMoq65mYdjTUnlE4EAW8Iul9ZelJ7bDRISUZDGEFmbBcEitxPaf++GNsvOhpXY0tJt8Z/WggwcXUa9fQszt15IgVBV4Zx0LiKBzI9GpXqZlm97mPmqW58XcGhhWRQvowjdLaO+9l8YVjnPz9D9PcdhcnPvAhDnzV84G+5kaCg4gkB/Okvog+9g0yokxHwsiAkTiQDHpClxoXwUwvEvVmaGmoGxRBy+aa5/+PARPtVbjjB9/Ega98Dnf+yFtY3HInd/7YWzn8DV/J7JrLwZtuWSCdVzTAWmPfxY3JYuVAy2YllKLDRXdRIUAzyO/TcycI5xnif/KPH00ELMrlb/gWAC79/m/OQLbwuY+NNiX3q+6OjcVWAwcmW6MZvmAkDgQMfswyodaI3Un7dKqCaRKakIs9RcICL53OOwThlxSi8N53gnNeelEMQKznwGSbMdloHChZqX1qIni99yMSfninkh0ngceGrAygJ2+Q3udzCRETVLQBNqF+4qXDZ4edQ16UYBxjUS0chQMlByijTupBOOw6H1KgbvhKw1/5Y5cRKYHFOsC8FoD5dI4u4gUHFoyRPrMjOZh45r5aOdAyWcmI2M12SkDtMd2Kthtth6gEVPLJMoBfCgB/PE4lYaMj/DXx9IFGLe1IJC/H4UCRTJi4Vol9kYed2B86T7Hjj5vem/iDl4n4MH9JrIvEwEhOlIfBOFymyOdjHhWGuLDiXVWeqWmD8O4u/YfORRtFHK2i7ntlHdZ4Kut7P35lXU+VJ702xufWL9AlxRT72uJ9ikBDvr0thstkJuZh5TXryrHPzqnFrTDRy2SnNmdUletFBgAbo5I6G2AUre3Rno0JpdOUaA8B8aTPiEs70mdwhPzGsL42z9FPVfAKrbNdn84YAQ+tb+XcZ9XeZYls8cCURYJR1D60p4vNNtWZDHxXJwEAHxcUbeW6xcVo5ZR9t6EMuqEwMTNcMWtrizWglG81i/A1T22LxeOxo1kLWmGil8BWmOiVPW7tnI9AInIS+NTZvo+HsfOBex/i8ytV9YIv1s2cSRtDDvSpZQ//IvLRZb/Hv6+thrCVPSpbOdDKHpWNwYHedLZv4BHYuXCPfy8755PolZ1dG0MEWtlZtHPagUTkq0TkUyJyk4h899m+HwARuVlE/lZE/kpEPhq3HRaRD4jIZ+LzobN9n2fKzlkHEhEL/CzwcuB64J+JyPVn966yfbmqPr2Yun838EFVvQb4YHw/CjtnHQh4LnCTqn5OVRfA24FXnOV72steAbwtvn4b8LVn8V7OqJ3LDnQpcGvx/ra47WybAr8rIh8TkdfGbRep6jGA+HzhWbu7M2zn8kr0boisZZhSvkhV7xCRC4EPiMiNZ/uGHks7lyPQbcDlxfvLgDvO0r1kU9U74vPdwG8Qhtq7ROQoQHy+++zd4Zm1c9mBPgJcIyJPFJEJ8A3Ae87mDYnIhojsT6+BlwEfj/f1qrjbq4B3n507PPN2zg5hqtqKyP8OvB+wwFtU9RNn+bYuAn4jdqmvgF9W1feJyEeAd4jIa4BbgFeexXs8o7ZaiV7Zo7JzeQhb2RLYyoFW9qhs5UAre1S2cqCVPSpbOdDKHpWtHGhlj8pWDrSyR2UrB1rZo7L/HxJkZGlTsQYrAAAAAElFTkSuQmCC\n", + "image/png": 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\n", 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" ] @@ -321,7 +333,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 6, "metadata": {}, "outputs": [ { diff --git a/GPS_Panel/Classifier/.gitignore b/GPS_Panel/Classifier/.gitignore index 3ebbdde..a08db0c 100644 --- a/GPS_Panel/Classifier/.gitignore +++ b/GPS_Panel/Classifier/.gitignore @@ -3,4 +3,8 @@ dataset_panel/ dataset_prueba_1/ model/ preview/ - +Data_set_1/ +Data_set_2/ +Data_set_DogCat/ +model_1/ +model_2/ diff --git a/GPS_Panel/Classifier/.ipynb_checkpoints/Train_Classifier_AllDeep-checkpoint.ipynb b/GPS_Panel/Classifier/.ipynb_checkpoints/Train_Classifier_AllDeep-checkpoint.ipynb index f398615..c8325b5 100644 --- a/GPS_Panel/Classifier/.ipynb_checkpoints/Train_Classifier_AllDeep-checkpoint.ipynb +++ b/GPS_Panel/Classifier/.ipynb_checkpoints/Train_Classifier_AllDeep-checkpoint.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -22,14 +22,2369 @@ "import tensorflow as tf\n", "from tensorflow.keras.layers import *\n", "from tensorflow.keras.preprocessing.image import ImageDataGenerator\n", - "from tensorflow.keras.callbacks import ModelCheckpoint, EarlyStopping" + "from tensorflow.keras.callbacks import ModelCheckpoint, EarlyStopping\n", + "\n", + "tf.keras.backend.clear_session()" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Found directory: .\n", + "\t.gitignore\n", + "\tTrain_Classifier_AllDeep.ipynb\n", + "\tTrain_Classifier_DEEP_SVC.ipynb\n", + "Found directory: ./Data_set_1\n", + "Found directory: ./Data_set_1/dataset_prueba_1\n", + "Found directory: ./Data_set_1/dataset_prueba_1/model_SVM\n", + "\tembeddings.pickle\n", + "\tmodel_SVM.h5\n", + "\tle.pickle\n", + "\trecognizer.pickle\n", + "Found directory: ./Data_set_1/dataset_prueba_1/7- Soiling\n", + "\tSoling 19 Pampa Camarones M4 2019.jpg\n", + "\tSoling 6 El Aguila M1 2019.jpg\n", + "\tSoling 2 El Aguila M1 2019.jpg\n", + "\tSoling 3 El Aguila M1 2019.jpg\n", + "\tSoling 15 Pampa Camarones M3 2019.jpg\n", + "\tSoling 12 Pampa Camarones M2 2019.jpg\n", + "\tSoling 1 El Aguila M1 2019.jpg\n", + "\tSoling 20 Pampa Camarones M4 2019.jpg\n", + "\tSoling 5 El Aguila M1 2019.jpg\n", + "\tSoling 10 Pampa Camarones M1 2019.jpg\n", + "\tSoling 9 Pampa Camarones M1 2019.jpg\n", + "\tSoling 21 Cerro Dominador M1 2019.jpg\n", + "\tSoling 13 Pampa Camarones M3 2019.jpg\n", + "\tSoling 4 El Aguila M1 2019.jpg\n", + "\tSoling 18 Pampa Camarones M4 2019.jpg\n", + "\tSoling 16 Pampa Camarones M3 2019.jpg\n", + "\tSoling 7 Pampa Camarones M1 2019.jpg\n", + "\tSoling 14 Pampa Camarones M3 2019.jpg\n", + "\tSoling 8 Pampa Camarones M1 2019.jpg\n", + "\tSoling 22 Valle de la Luna M1 2019.jpg\n", + "\tSoling 17 Pampa Camarones M4 2019.jpg\n", + "Found directory: ./Data_set_1/dataset_prueba_1/1- Una-Mas Celdas\n", + "\tCinco-Mas Celdas 1 El Aguila M1 2019.jpg\n", + "\tDos-Cuatro Celdas 14 Maria Elena M1 2018.jpg\n", + "\tUna Celda 22 LLano de LLampos M4 2019.jpg\n", + "\tCinco-Mas 4 Cerro Demonidor M2 2019.jpg\n", + "\tUna Celda 10 Cerro Dominador M1 2019.jpg\n", + "\tCinco-Mas Celdas 5 Llano de LLampos M5 2019.jpg\n", + "\tDos-Cuatro Celdas 10 LLano de LLampos M3 2019.jpg\n", + "\tUna Celda 17 Cerro Dominador M1 2019.jpg\n", + "\tUna Celda 7 Pampa Camarones M2 2019.jpg\n", + "\tCinco-Mas Celdas 19 Maria Elena M6 2018.jpg\n", + "\tUna Celda 14 Cerro Dominador M1 2019.jpg\n", + "\tDos-Cuatro Celdas 15 Maria Elena M2 2018.jpg\n", + "\tDos-Cuatro Celdas 7 El Aguila M1 2019.jpg\n", + "\tCinco-Mas Celdas 17 Maria Elena M6 2018.jpg\n", + "\tDos-Cuatro Celdas 4 El Aguila M1 2019.jpg\n", + "\tUna Celda 12 Cerro Dominador M1 2019.jpg\n", + "\tDos-Cuatro Celdas 11 LLano de LLampos M5 2019.jpg\n", + "\tDos-Cuatro Celdas 2 El Aguila M1 2019.jpg\n", + "\tDos-Cuatro Celdas 8 Pampa Camarones M2 2019.jpg\n", + "\tCinco-Mas Celdas 20 Maria Elena M6 2018.jpg\n", + "\tCinco-Mas Celdas 11 Maria Elena M1 2018.jpg\n", + "\tCinco-Mas Celdas 18 Maria Elena M6 2018.jpg\n", + "\tCinco-Mas Celdas 15 Maria Elena M3 2018.jpg\n", + "\tDos-Cuatro Celdas 3 El Aguila M1 2019.jpg\n", + "\tDos-Cuatro Celdas 1 El Aguila M1 2019.jpg\n", + "\tDos-Cuatro Celdas 21 Maria Elena M7 2018.jpg\n", + "\tUna Celda 2 - El Aguila M1 2019.jpg\n", + "\tUna Celda 3 El Aguila M1 2019.jpg\n", + "\tCinco-Mas Celdas 14 Maria Elena M3 2018.jpg\n", + "\tDos-Cuatro Celdas 14 Maria Elena M2 2018.jpg\n", + "\tUna Celda 18 Cerro Dominador M1 2019.jpg\n", + "\tUna Celda 15 Cerro Dominador M1 2019.jpg\n", + "\tUna Celda 19 Cerro Dominador M1 2019.jpg\n", + "\tDos-Cuatro Celdas 12 Maria Elena M1 2018.jpg\n", + "\tCinco-Mas Celdas 9 Maria Elena M1 2018.jpg\n", + "\tCinco-Mas Celdas 7 Maria Elena M1 2018.jpg\n", + "\tCinco-Mas Celdas 6 Maria Elena M1 2018.jpg\n", + "\tUna Celda 1 - Citrino.jpg\n", + "\tUna Celda 23 Valle de la Luna M1 2019.jpg\n", + "\tUna Celda 21 Cerro Dominador M2 2019.jpg\n", + "\tUna Celda 20 Cerro Dominador M2 2019.jpg\n", + "\tUna Celda 9 Pampa Camarones M4 2019.jpg\n", + "\tUna Celda 5 El Aguila M1 2019.jpg\n", + "\tUna Celda 13 Cerro Dominador M1 2019.jpg\n", + "\tUna Celda 16 Cerro Dominador M1 2019.jpg\n", + "\tDos-Cuatro Celdas 13 Maria Elena M1 2018.jpg\n", + "\tUna Celda 4 El Aguila M1 2019.jpg\n", + "\tDos-Cuatro Celdas 6 El Aguila M1 2019.jpg\n", + "\tCinco-Mas Celdas 16 Maria Elena M6 2018.jpg\n", + "\tUna Celda 11 Cerro Dominador M1 2019.jpg\n", + "\tCinco-Mas Celdas 8 Maria Elena M1 2018.jpg\n", + "\tCinco-Mas 3 LLano de LLampos M3 2019.jpg\n", + "\tDos-Cuatro Celdas 9 Pampa Camarones M3 2019.jpg\n", + "\tUna Celda 6 El Aguila M1 2019.jpg\n", + "\tCinco-Mas Celdas 13 Maria Elena M3 2018.jpg\n", + "\tDos-Cuatro Celdas 19 Maria Elena M2 2018.jpg\n", + "\tUna Celda 8 Pampa Camarones M3 2019.jpg\n", + "\tDos-Cuatro Celdas 16 Maria Elena M2 2018.jpg\n", + "\tDos-Cuatro Celdas 18 Maria Elena M2 2018.jpg\n", + "\tDos-Cuatro Celdas 20 Maria Elena M3 2018.jpg\n", + "\tCinco-Mas Celdas 12 Maria Elena M1 2018.jpg\n", + "\tCinco-Mas 2 LLano de LLampos M3 2019.jpg\n", + "\tDos-Cuatro Celdas 5 El Aguila M1 2019.jpg\n", + "\tCinco-Mas Celdas 10 Maria Elena M1 2018.jpg\n", + "\tDos-Cuatro Celdas 17 Maria Elena M2 2018.jpg\n", + "Found directory: ./Data_set_1/dataset_prueba_1/4- Falla Diodos\n", + "\tUn Diodo 25 Casuto M4 2019.jpg\n", + "\tUn Diodo 7 Pampa Camarones M2 2019.jpg\n", + "\tUn Diodo 19 Pampa Camarones M4 2019.jpg\n", + "\tUn Diodo 14 Pampa Camarones M3 2019.jpg\n", + "\tUn Diodo 18 Pampa Camarones M3 2019.jpg\n", + "\tUn Diodo 26 Lllano de LLampos M4 2019.jpg\n", + "\tDos Diodos 2 Tiltil M2 2019.jpg\n", + "\tUn Diodo 11 Pampa Camarones M2 2019.jpg\n", + "\tUn Diodo 6 Pampa Camarones M2 2019.jpg\n", + "\tUn Diodo 22 Tiltil M4 2019.jpg\n", + "\tUn Diodo 1 El Aguila M1 2019.jpg\n", + "\tUn Diodo 23 Tiltil M4 2019.jpg\n", + "\tUn Diodo 24 Casuto M4 2019.jpg\n", + "\tUn Diodo 21 Tiltil M4 2019.jpg\n", + "\tUn Diodo 3 Pampa Camarones M1 2019.jpg\n", + "\tUn Diodo 9 Pampa Camarones M2 2019.jpg\n", + "\tUn Diodo 16 Pampa Camarones M3 2019.jpg\n", + "\tUn Diodo 15 Pampa Camarones M3 2019.jpg\n", + "\tUn Diodo 4 Pampa Camarones M1 2019.jpg\n", + "\tUn Diodo 13 Pampa Camarones M3 2019.jpg\n", + "\tUn Diodo 12 Pampa Camarones M3 2019.jpg\n", + "\tUn Diodo 1 Pampa Camarones M1 2019.jpg\n", + "\tUn Diodo 8 Pampa Camarones M2 2019.jpg\n", + "\tUn Diodo 20 Pampa Camarones M4 2019.jpg\n", + "\tUn Diodo 10 Pampa Camarones M2 2019.jpg\n", + "\tDos Diodos 1 Tiltil M2 2019.jpg\n", + "\tUn Diodo 17 Pampa Camarones M3 2019.jpg\n", + "\tUn Diodo 5 Pampa Camarones M2 2019.jpg\n", + "Found directory: ./Data_set_1/dataset_prueba_1/9- No es Panel\n", + "\tNo es panel 12 Casuto M1 2019.jpg\n", + "\tNo es panel 5 El Aguila M1 2019.jpg\n", + "\tNo es panel 16 Llano de Llampos M1 2019.jpg\n", + "\tNo es panel 9 Casuto M1 2019.jpg\n", + "\tNo es panel 13 Casuto M1 2019.jpg\n", + "\tNo es panel 3 El Aguila M1 2019.jpg\n", + "\tNo es panel 7 Casuto M1 2019.jpg\n", + "\tNo es panel 15 Casuto M1 2019.jpg\n", + "\tNo es panel 1 El Aguila M1 2019.jpg\n", + "\tNo es panel 2 El Aguila M1 2019.jpg\n", + "\tNo es panel 6 El Aguila M1 2019.jpg\n", + "\tNo es panel 11 Casuto M1 2019.jpg\n", + "\tNo es panel 10 Casuto M1 2019.jpg\n", + "\tNo es panel 14 Casuto M1 2019.jpg\n", + "\tNo es panel 4 El Aguila M1 2019.jpg\n", + "\tNo es panel 17 Cerro Dominador M1 2019.jpg\n", + "\tNo es panel 8 Casuto M1 2019.jpg\n", + "Found directory: ./Data_set_1/dataset_prueba_1/8- Tracker dañado\n", + "\tTracker dañado 8 Maria Elena M3 2018.jpg\n", + "\tTracker dañado 13 Maria Elena M3 2018.jpg\n", + "\tTracker dañado 20 Maria Elena M13 2018.jpg\n", + "\tTracker dañado 9 Maria Elena M3 2018.jpg\n", + "\tTracker dañado 11 Maria Elena M3 2018.jpg\n", + "\tTracker dañado 2 Pampa Camarones M1 2019.jpg\n", + "\tTracker dañado 19 Maria Elena M13 2018.jpg\n", + "\tTracker dañado 10 Maria Elena M3 2018.jpg\n", + "\tTracker dañado 4 Pampa Camarones M1 2019.jpg\n", + "\tTracker dañado 15 Maria Elena M13 2018.jpg\n", + "\tTracker dañado 17 Maria Elena M13 2018.jpg\n", + "\tTracker dañado 7 Pampa Camarones M1 2019.jpg\n", + "\tTracker dañado 5 Pampa Camarones M1 2019.jpg\n", + "\tTracker dañado 6 Pampa Camarones M1 2019.jpg\n", + "\tTracker dañado 18 Maria Elena M13 2018.jpg\n", + "\tTracker dañado 13 Maria Elena M13 2018.jpg\n", + "\tTracker dañado 16 Maria Elena M13 2018.jpg\n", + "\tTracker dañado 12 Maria Elena M3 2018.jpg\n", + "\tTracker dañado 1 Pampa Camarones M1 2019.jpg\n", + "\tTracker dañado 3 Pampa Camarones M1 2019.jpg\n", + "Found directory: ./Data_set_1/dataset_prueba_1/0- Normal\n", + "\tNormal 30 Valle de La Luna M1 2019.jpg\n", + "\tNormal 16 Tiltil M2 2019.jpg\n", + "\tNormal 3 Citrino.jpg\n", + "\tNormal 20 Casuto M1 2019.jpg\n", + "\tNormal 12 Tiltil M1 2019.jpg\n", + "\tNormal 2 Citrino.jpg\n", + "\tNormal 15 Tiltil M1 2019.jpg\n", + "\tNormal 11 Pampa Camarones M3 2019.jpg\n", + "\tNormal 1 Citrino.jpg\n", + "\tNormal 17 Casuto M1 2019.jpg\n", + "\tNormal 21 Casuto M1 2019.jpg\n", + "\tNormal 5 El Aguila M1 2019.jpg\n", + "\tNormal 14 Tiltil M1 2019.jpg\n", + "\tNormal 6 El Aguila M1 2019.jpg\n", + "\tNormal 25 Llano de Llampos M1 2019.jpg\n", + "\tNormal 10 Pampa Camarones M1 2019.jpg\n", + "\tNormal 9 El Aguila M1 2019.jpg\n", + "\tNormal 27 Llano de Llampos M1 2019.jpg\n", + "\tNormal 19 Casuto M1 2019.jpg\n", + "\tNormal 18 Casuto M1 2019.jpg\n", + "\tNormal 8 El Aguila M1 2019.jpg\n", + "\tNormal 28 Cerro Dominado M1 2019.jpg\n", + "\tNormal 22 Casuto M1 2019.jpg\n", + "\tNormal 4 Citrino.jpg\n", + "\tNormal 24 Llano de Llampos M1 2019.jpg\n", + "\tNormal 23 Casuto M1 2019.jpg\n", + "\tNormal 26 Llano de Llampos M1 2019.jpg\n", + "\tNormal 13 Tiltil M1 2019.jpg\n", + "\tNormal 7 El Aguila M1 2019.jpg\n", + "Found directory: ./Data_set_1/dataset_prueba_0\n", + "\tembeddings.pickle\n", + "\tle.pickle\n", + "\trecognizer.pickle\n", + "Found directory: ./Data_set_1/dataset_prueba_0/2- Dos-Cuatro Celdas\n", + "\tDos-Cuatro Celdas 14 Maria Elena M1 2018.jpg\n", + "\tDos-Cuatro Celdas 10 LLano de LLampos M3 2019.jpg\n", + "\tDos-Cuatro Celdas 15 Maria Elena M2 2018.jpg\n", + "\tDos-Cuatro Celdas 7 El Aguila M1 2019.jpg\n", + "\tDos-Cuatro Celdas 4 El Aguila M1 2019.jpg\n", + "\tDos-Cuatro Celdas 11 LLano de LLampos M5 2019.jpg\n", + "\tDos-Cuatro Celdas 2 El Aguila M1 2019.jpg\n", + "\tDos-Cuatro Celdas 8 Pampa Camarones M2 2019.jpg\n", + "\tDos-Cuatro Celdas 3 El Aguila M1 2019.jpg\n", + "\tDos-Cuatro Celdas 1 El Aguila M1 2019.jpg\n", + "\tDos-Cuatro Celdas 21 Maria Elena M7 2018.jpg\n", + "\tDos-Cuatro Celdas 14 Maria Elena M2 2018.jpg\n", + "\tDos-Cuatro Celdas 12 Maria Elena M1 2018.jpg\n", + "\tDos-Cuatro Celdas 13 Maria Elena M1 2018.jpg\n", + "\tDos-Cuatro Celdas 6 El Aguila M1 2019.jpg\n", + "\tDos-Cuatro Celdas 9 Pampa Camarones M3 2019.jpg\n", + "\tDos-Cuatro Celdas 19 Maria Elena M2 2018.jpg\n", + "\tDos-Cuatro Celdas 16 Maria Elena M2 2018.jpg\n", + "\tDos-Cuatro Celdas 18 Maria Elena M2 2018.jpg\n", + "\tDos-Cuatro Celdas 20 Maria Elena M3 2018.jpg\n", + "\tDos-Cuatro Celdas 5 El Aguila M1 2019.jpg\n", + "\tDos-Cuatro Celdas 17 Maria Elena M2 2018.jpg\n", + "Found directory: ./Data_set_1/dataset_prueba_0/6- Caja Conexion\n", + "\tCaja Conexion 2 Pampa Camarones M3 2019.jpg\n", + "\tCaja Conexion 3 Pampa Camarones M3 2019.jpg\n", + "\tCaja Conexion 1 El Aguila M1 2019.jpg\n", + "\tCaja Conexión 11 Pampa Camarones M1 2019.jpg\n", + "\tCaja Conexión 12 Llano de Llampos M2 2019.jpg\n", + "Found directory: ./Data_set_1/dataset_prueba_0/7- Soiling\n", + "\tSoling 19 Pampa Camarones M4 2019.jpg\n", + "\tSoling 6 El Aguila M1 2019.jpg\n", + "\tSoling 2 El Aguila M1 2019.jpg\n", + "\tSoling 3 El Aguila M1 2019.jpg\n", + "\tSoling 15 Pampa Camarones M3 2019.jpg\n", + "\tSoling 12 Pampa Camarones M2 2019.jpg\n", + "\tSoling 1 El Aguila M1 2019.jpg\n", + "\tSoling 20 Pampa Camarones M4 2019.jpg\n", + "\tSoling 5 El Aguila M1 2019.jpg\n", + "\tSoling 10 Pampa Camarones M1 2019.jpg\n", + "\tSoling 9 Pampa Camarones M1 2019.jpg\n", + "\tSoling 21 Cerro Dominador M1 2019.jpg\n", + "\tSoling 13 Pampa Camarones M3 2019.jpg\n", + "\tSoling 4 El Aguila M1 2019.jpg\n", + "\tSoling 18 Pampa Camarones M4 2019.jpg\n", + "\tSoling 16 Pampa Camarones M3 2019.jpg\n", + "\tSoling 7 Pampa Camarones M1 2019.jpg\n", + "\tSoling 14 Pampa Camarones M3 2019.jpg\n", + "\tSoling 8 Pampa Camarones M1 2019.jpg\n", + "\tSoling 22 Valle de la Luna M1 2019.jpg\n", + "\tSoling 17 Pampa Camarones M4 2019.jpg\n", + "Found directory: ./Data_set_1/dataset_prueba_0/4- Falla Diodos\n", + "\tUn Diodo 25 Casuto M4 2019.jpg\n", + "\tUn Diodo 7 Pampa Camarones M2 2019.jpg\n", + "\tUn Diodo 19 Pampa Camarones M4 2019.jpg\n", + "\tUn Diodo 14 Pampa Camarones M3 2019.jpg\n", + "\tUn Diodo 18 Pampa Camarones M3 2019.jpg\n", + "\tUn Diodo 26 Lllano de LLampos M4 2019.jpg\n", + "\tDos Diodos 2 Tiltil M2 2019.jpg\n", + "\tUn Diodo 11 Pampa Camarones M2 2019.jpg\n", + "\tUn Diodo 6 Pampa Camarones M2 2019.jpg\n", + "\tUn Diodo 22 Tiltil M4 2019.jpg\n", + "\tUn Diodo 1 El Aguila M1 2019.jpg\n", + "\tUn Diodo 23 Tiltil M4 2019.jpg\n", + "\tUn Diodo 24 Casuto M4 2019.jpg\n", + "\tUn Diodo 21 Tiltil M4 2019.jpg\n", + "\tUn Diodo 3 Pampa Camarones M1 2019.jpg\n", + "\tUn Diodo 9 Pampa Camarones M2 2019.jpg\n", + "\tUn Diodo 16 Pampa Camarones M3 2019.jpg\n", + "\tUn Diodo 15 Pampa Camarones M3 2019.jpg\n", + "\tUn Diodo 4 Pampa Camarones M1 2019.jpg\n", + "\tUn Diodo 13 Pampa Camarones M3 2019.jpg\n", + "\tUn Diodo 12 Pampa Camarones M3 2019.jpg\n", + "\tUn Diodo 1 Pampa Camarones M1 2019.jpg\n", + "\tUn Diodo 8 Pampa Camarones M2 2019.jpg\n", + "\tUn Diodo 20 Pampa Camarones M4 2019.jpg\n", + "\tUn Diodo 10 Pampa Camarones M2 2019.jpg\n", + "\tDos Diodos 1 Tiltil M2 2019.jpg\n", + "\tUn Diodo 17 Pampa Camarones M3 2019.jpg\n", + "\tUn Diodo 5 Pampa Camarones M2 2019.jpg\n", + "Found directory: ./Data_set_1/dataset_prueba_0/3- Cinco-Mas Celdas\n", + "\tCinco-Mas Celdas 1 El Aguila M1 2019.jpg\n", + "\tCinco-Mas 4 Cerro Demonidor M2 2019.jpg\n", + "\tCinco-Mas Celdas 5 Llano de LLampos M5 2019.jpg\n", + "\tCinco-Mas Celdas 19 Maria Elena M6 2018.jpg\n", + "\tCinco-Mas Celdas 17 Maria Elena M6 2018.jpg\n", + "\tCinco-Mas Celdas 20 Maria Elena M6 2018.jpg\n", + "\tCinco-Mas Celdas 11 Maria Elena M1 2018.jpg\n", + "\tCinco-Mas Celdas 18 Maria Elena M6 2018.jpg\n", + "\tCinco-Mas Celdas 15 Maria Elena M3 2018.jpg\n", + "\tCinco-Mas Celdas 14 Maria Elena M3 2018.jpg\n", + "\tCinco-Mas Celdas 9 Maria Elena M1 2018.jpg\n", + "\tCinco-Mas Celdas 7 Maria Elena M1 2018.jpg\n", + "\tCinco-Mas Celdas 6 Maria Elena M1 2018.jpg\n", + "\tCinco-Mas Celdas 16 Maria Elena M6 2018.jpg\n", + "\tCinco-Mas Celdas 8 Maria Elena M1 2018.jpg\n", + "\tCinco-Mas 3 LLano de LLampos M3 2019.jpg\n", + "\tCinco-Mas Celdas 13 Maria Elena M3 2018.jpg\n", + "\tCinco-Mas Celdas 12 Maria Elena M1 2018.jpg\n", + "\tCinco-Mas 2 LLano de LLampos M3 2019.jpg\n", + "\tCinco-Mas Celdas 10 Maria Elena M1 2018.jpg\n", + "Found directory: ./Data_set_1/dataset_prueba_0/1- Una Celda\n", + "\tUna Celda 22 LLano de LLampos M4 2019.jpg\n", + "\tUna Celda 10 Cerro Dominador M1 2019.jpg\n", + "\tUna Celda 17 Cerro Dominador M1 2019.jpg\n", + "\tUna Celda 7 Pampa Camarones M2 2019.jpg\n", + "\tUna Celda 14 Cerro Dominador M1 2019.jpg\n", + "\tUna Celda 12 Cerro Dominador M1 2019.jpg\n", + "\tUna Celda 2 - El Aguila M1 2019.jpg\n", + "\tUna Celda 3 El Aguila M1 2019.jpg\n", + "\tUna Celda 18 Cerro Dominador M1 2019.jpg\n", + "\tUna Celda 15 Cerro Dominador M1 2019.jpg\n", + "\tUna Celda 19 Cerro Dominador M1 2019.jpg\n", + "\tUna Celda 1 - Citrino.jpg\n", + "\tUna Celda 23 Valle de la Luna M1 2019.jpg\n", + "\tUna Celda 21 Cerro Dominador M2 2019.jpg\n", + "\tUna Celda 20 Cerro Dominador M2 2019.jpg\n", + "\tUna Celda 9 Pampa Camarones M4 2019.jpg\n", + "\tUna Celda 5 El Aguila M1 2019.jpg\n", + "\tUna Celda 13 Cerro Dominador M1 2019.jpg\n", + "\tUna Celda 16 Cerro Dominador M1 2019.jpg\n", + "\tUna Celda 4 El Aguila M1 2019.jpg\n", + "\tUna Celda 11 Cerro Dominador M1 2019.jpg\n", + "\tUna Celda 6 El Aguila M1 2019.jpg\n", + "\tUna Celda 8 Pampa Camarones M3 2019.jpg\n", + "Found directory: ./Data_set_1/dataset_prueba_0/9- No es Panel\n", + "\tNo es panel 12 Casuto M1 2019.jpg\n", + "\tNo es panel 5 El Aguila M1 2019.jpg\n", + "\tNo es panel 16 Llano de Llampos M1 2019.jpg\n", + "\tNo es panel 9 Casuto M1 2019.jpg\n", + "\tNo es panel 13 Casuto M1 2019.jpg\n", + "\tNo es panel 3 El Aguila M1 2019.jpg\n", + "\tNo es panel 7 Casuto M1 2019.jpg\n", + "\tNo es panel 15 Casuto M1 2019.jpg\n", + "\tNo es panel 1 El Aguila M1 2019.jpg\n", + "\tNo es panel 2 El Aguila M1 2019.jpg\n", + "\tNo es panel 6 El Aguila M1 2019.jpg\n", + "\tNo es panel 11 Casuto M1 2019.jpg\n", + "\tNo es panel 10 Casuto M1 2019.jpg\n", + "\tNo es panel 14 Casuto M1 2019.jpg\n", + "\tNo es panel 4 El Aguila M1 2019.jpg\n", + "\tNo es panel 17 Cerro Dominador M1 2019.jpg\n", + "\tNo es panel 8 Casuto M1 2019.jpg\n", + "Found directory: ./Data_set_1/dataset_prueba_0/5- Panel Desconectado\n", + "\tPanel Desconectado 24 Llano de LLampos M3 2019.jpg\n", + "\tPanel Desconectado 6 Pampa Camarones M1 2019.jpg\n", + "\tPanel Desconectado 19 Pampa Camarones M3 2019.jpg\n", + "\tPanel Desconectado 9 Pampa Camarones M2 2019.jpg\n", + "\tPanel Desconectado 12 Pampa Camarones M3 2019.jpg\n", + "\tPanel Desconectado 10 Pampa Camarones M2 2019.jpg\n", + "\tPanel Desconectado 21 Pampa Camarones M3 2019.jpg\n", + "\tPanel Desconectado 4 Pampa Camarones M1 2019.jpg\n", + "\tPanel Desconectado 25 Llano de LLampos M3 2019.jpg\n", + "\tPanel Desconectado 23 Llano de LLampos M2 2019.jpg\n", + "\tPanel Desconectado 20 Pampa Camarones M3 2019.jpg\n", + "\tPanel Desconectado 11 Pampa Camarones M2 2019.jpg\n", + "\tPanel Desconectado 15 Pampa Camarones M3 2019.jpg\n", + "\tPanel Desconectado 1 El Aguila M2 2019.jpg\n", + "\tPanel Desconectado 16 Pampa Camarones M3 2019.jpg\n", + "\tPanel Desconectado 14 Pampa Camarones M3 2019.jpg\n", + "\tPanel Desconectado 18 Pampa Camarones M3 2019.jpg\n", + "\tPanel Desconectado 22 Tiltil M2 2019.jpg\n", + "\tPanel Desconectado 13 Pampa Camarones M3 2019.jpg\n", + "\tPanel Desconectado 17 Pampa Camarones M3 2019.jpg\n", + "\tPanel Desconectado 3 Pampa Camarones M1 2019.jpg\n", + "\tPanel Desconectado 5 Pampa Camarones M1 2019.jpg\n", + "\tPanel Desconectado 7 Pampa Camarones M1 2019.jpg\n", + "\tPanel Desconectado 2 El Aguila M2 2019.jpg\n", + "\tPanel Desconectado 8 Pampa Camarones M1 2019.jpg\n", + "Found directory: ./Data_set_1/dataset_prueba_0/8- Tracker dañado\n", + "\tTracker dañado 8 Maria Elena M3 2018.jpg\n", + "\tTracker dañado 13 Maria Elena M3 2018.jpg\n", + "\tTracker dañado 20 Maria Elena M13 2018.jpg\n", + "\tTracker dañado 9 Maria Elena M3 2018.jpg\n", + "\tTracker dañado 11 Maria Elena M3 2018.jpg\n", + "\tTracker dañado 2 Pampa Camarones M1 2019.jpg\n", + "\tTracker dañado 19 Maria Elena M13 2018.jpg\n", + "\tTracker dañado 10 Maria Elena M3 2018.jpg\n", + "\tTracker dañado 4 Pampa Camarones M1 2019.jpg\n", + "\tTracker dañado 15 Maria Elena M13 2018.jpg\n", + "\tTracker dañado 17 Maria Elena M13 2018.jpg\n", + "\tTracker dañado 7 Pampa Camarones M1 2019.jpg\n", + "\tTracker dañado 5 Pampa Camarones M1 2019.jpg\n", + "\tTracker dañado 6 Pampa Camarones M1 2019.jpg\n", + "\tTracker dañado 18 Maria Elena M13 2018.jpg\n", + "\tTracker dañado 13 Maria Elena M13 2018.jpg\n", + "\tTracker dañado 16 Maria Elena M13 2018.jpg\n", + "\tTracker dañado 12 Maria Elena M3 2018.jpg\n", + "\tTracker dañado 1 Pampa Camarones M1 2019.jpg\n", + "\tTracker dañado 3 Pampa Camarones M1 2019.jpg\n", + "Found directory: ./Data_set_1/dataset_prueba_0/10- Reflejos\n", + "\tReflejo 3 Citrino.jpg\n", + "\tReflejo 10 Pampa Camarones M1 2019.jpg\n", + "\tReflejo 4 Citrino.jpg\n", + "\tReflejo 11 Pampa Camarones M1 2019.jpg\n", + "\tReflejo 23 Maria Elena M3 2018.jpg\n", + "\tReflejo 22 LLano de LLampos M2 2019.jpg\n", + "\tReflejo 18 LLano de LLampos M2 2019.jpg\n", + "\tReflejo 5 El Aguila M1 2019.jpg\n", + "\tReflejo 21 LLano de LLampos M2 2019.jpg\n", + "\tReflejo 7 Pampa Camarones M1 2019.jpg\n", + "\tReflejo 2 Citrino.jpg\n", + "\tReflejo 16 Pampa Camarones M2 2019.jpg\n", + "\tReflejo 6 Pampa Camarones M1 2019.jpg\n", + "\tReflejo 8 Pampa Camarones M1 2019.jpg\n", + "\tReflejo 19 LLano de LLampos M2 2019.jpg\n", + "\tReflejo 15 Pampa Camarones M1 2019.jpg\n", + "\tReflejo 9 Pampa Camarones M1 2019.jpg\n", + "\tReflejo 13 Pampa Camarones M1 2019.jpg\n", + "\tReflejo 17 Pampa Camarones M2 2019.jpg\n", + "\tReflejo 1 Citrino.jpg\n", + "\tReflejo 14 Pampa Camarones M1 2019.jpg\n", + "\tReflejo 20 LLano de LLampos M2 2019.jpg\n", + "\tReflejo 12 Pampa Camarones M1 2019.jpg\n", + "Found directory: ./Data_set_1/dataset_prueba_0/0- Normal\n", + "\tNormal 30 Valle de La Luna M1 2019.jpg\n", + "\tNormal 16 Tiltil M2 2019.jpg\n", + "\tNormal 3 Citrino.jpg\n", + "\tNormal 20 Casuto M1 2019.jpg\n", + "\tNormal 12 Tiltil M1 2019.jpg\n", + "\tNormal 2 Citrino.jpg\n", + "\tNormal 15 Tiltil M1 2019.jpg\n", + "\tNormal 11 Pampa Camarones M3 2019.jpg\n", + "\tNormal 1 Citrino.jpg\n", + "\tNormal 17 Casuto M1 2019.jpg\n", + "\tNormal 21 Casuto M1 2019.jpg\n", + "\tNormal 5 El Aguila M1 2019.jpg\n", + "\tNormal 14 Tiltil M1 2019.jpg\n", + "\tNormal 6 El Aguila M1 2019.jpg\n", + "\tNormal 25 Llano de Llampos M1 2019.jpg\n", + "\tNormal 10 Pampa Camarones M1 2019.jpg\n", + "\tNormal 9 El Aguila M1 2019.jpg\n", + "\tNormal 27 Llano de Llampos M1 2019.jpg\n", + "\tNormal 19 Casuto M1 2019.jpg\n", + "\tNormal 18 Casuto M1 2019.jpg\n", + "\tNormal 8 El Aguila M1 2019.jpg\n", + "\tNormal 28 Cerro Dominado M1 2019.jpg\n", + "\tNormal 22 Casuto M1 2019.jpg\n", + "\tNormal 4 Citrino.jpg\n", + "\tNormal 24 Llano de Llampos M1 2019.jpg\n", + "\tNormal 23 Casuto M1 2019.jpg\n", + "\tNormal 26 Llano de Llampos M1 2019.jpg\n", + "\tNormal 13 Tiltil M1 2019.jpg\n", + "\tNormal 7 El Aguila M1 2019.jpg\n", + "Found directory: ./.ipynb_checkpoints\n", + "\tTrain_Classifier_AllDeep-checkpoint.ipynb\n", + "\tTrain_Classifier_DEEP_SVC-checkpoint.ipynb\n", + "Found directory: ./model_2\n", + "\ttop_model_weights.h5\n", + "Found directory: ./Data_set_2\n", + "Found directory: ./Data_set_2/Data_prueba_0\n", + "Found directory: ./Data_set_2/Data_prueba_0/0-Normal\n", + "\t333_DJI_0005.jpg\n", + "\t67_DJI_0005.jpg\n", + "\t340_DJI_0001.jpg\n", + "\t120_DJI_0001.jpg\n", + "\t80_DJI_0001.jpg\n", + "\t135_DJI_0001.jpg\n", + "\t255_DJI_0005.jpg\n", + "\t326_DJI_0005.jpg\n", + "\t141_DJI_0001.jpg\n", + "\t430_DJI_0001.jpg\n", + "\t277_DJI_0005.jpg\n", + "\t448_DJI_0005.jpg\n", + "\t91_DJI_0005.jpg\n", + "\t116_DJI_0001.jpg\n", + "\t380_DJI_0005.jpg\n", + "\t285_DJI_0005.jpg\n", + "\t309_DJI_0001.jpg\n", + "\t381_DJI_0005.jpg\n", + "\t417_DJI_0001.jpg\n", + "\t163_DJI_0001.jpg\n", + "\t473_DJI_0001.jpg\n", + 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5_DJI_0075.jpg\n", + "\t1_Mision 23_DJI_0058_1.jpg\n", + "\t1_Mision 4_DJI_0053.jpg\n", + "\t35_Mision 11_DJI_0018.jpg\n", + "\t1_Mision 6_DJI_0030.jpg\n", + "\t31_Mision 11_DJI_0018.jpg\n", + "\t12_Mision 6_DJI_0030.jpg\n", + "\t1_Mision 11_DJI_0054.jpg\n", + "\t40_Mision 6_DJI_0030.jpg\n", + "\t3_Mision 14_DJI_0005.jpg\n", + "\t9_Mision 22_DJI_0006.jpg\n", + "\t1_Mision 22_DJI_0030.jpg\n", + "\t9_Mision 17_DJI_0029.jpg\n", + "\t15_Mision 16_DJI_0082.jpg\n", + "\t9_Mision 19_DJI_0022.jpg\n", + "\t1_Mision 4_DJI_0068.jpg\n", + "\t17_Mision 11_DJI_0018.jpg\n", + "\t17_Mision 6_DJI_0030.jpg\n", + "\t38_Mision 15_DJI_0025.jpg\n", + "\t1_Mision 26_DJI_0033.jpg\n", + "\t6_Mision 10_DJI_0118.jpg\n", + "\t24_Mision 15_DJI_0025.jpg\n", + "\t2_Mision 35_DJI_0005_1.jpg\n", + "\t1_Mision 14_DJI_0040.jpg\n", + "\t3_Mision 16_DJI_0082.jpg\n", + "\t1_Mision 3_DJI_0072.jpg\n", + "\t7_Mision 23_DJI_0058.jpg\n", + "\t25_Mision 6_DJI_0030.jpg\n", + "\t3_Mision 51_DJI_0115_1.jpg\n", + "\t5_Mision 10_DJI_0118.jpg\n", + "\t3_Mision 6_DJI_0030.jpg\n", + "\t2_Mision 24_DJI_0018.jpg\n", + "\t2_Mision 3_DJI_0008.jpg\n", + "\t2_Mision 4_DJI_0044._2jpg\n", + "\t2_Mision 11_DJI_0003_1.jpg\n", + "\t3_Mision 21_DJI_0033.jpg\n", + "\t34_Mision 47_DJI_0091.jpg\n", + "\t9_Mision 11_DJI_0018.jpg\n", + "\t2_Mision 4_DJI_0023.jpg\n", + "\t32_Mision 11_DJI_0038.jpg\n", + "\t1_Mision 24_DJI_0001.jpg\n", + "\t1_Mision 2_DJI_0025.jpg\n", + "\t17_Mision 15_DJI_0025.jpg\n", + "\t27_Mision 47_DJI_0091.jpg\n", + "\tDiodo_3.png\n", + "\t9_Mision 5_DJI_0075.jpg\n", + "\t6_Mision 38_DJI_0091.jpg\n", + "\t39_Mision 15_DJI_0025.jpg\n", + "\t1_Mision 16_DJI_0082_1.jpg\n", + "\t5_Mision 17_DJI_0029.jpg\n", + "\t7_Mision 4_DJI_0044.jpg\n", + "\t12_Mision 22_DJI_0006.jpg\n", + "\t1_Mision 4_DJI_0091.jpg\n", + "\t18_Mision 11_DJI_0018.jpg\n", + "\t9_Mision 6_DJI_0030.jpg\n", + "\t3_Mision 17_DJI_0089.jpg\n", + "\t4_Mision 12_DJI_0036.jpg\n", + "\t1_Mision 3_DJI_0044.jpg\n", + "\t1_Mision 5_DJI_0081.jpg\n", + "\t11_Mision 15_DJI_0091.jpg\n", + "\t2_Mision 5_DJI_0075_1.jpg\n", + "\t2_Mision 22_DJI_0030.jpg\n", + "\t6_Mision 11_DJI_0038.jpg\n", + "\t41_Mision 47_DJI_0091.jpg\n", + "\t5_Mision 11_DJI_0003.jpg\n", + "\t5_Mision 6_DJI_0030_1.jpg\n", + "\t11_Mision 21_DJI_0059.jpg\n", + "\t10_Mision 14_DJI_0005.jpg\n", + "\t5_Mision 22_DJI_0006.jpg\n", + "\t17_Mision 9_DJI_0040.jpg\n", + "\t1_Mision 51_DJI_0099.jpg\n", + "\t2_Mision 49_DJI_0041_1.jpg\n", + "\tSoiling_8.png\n", + "\t4_Mision 28_DJI_0060.jpg\n", + "\tPunto_4.png\n", + "\t13_Mision 4_DJI_0044.jpg\n", + "\t1_Mision 29_DJI_0042.jpg\n", + "\t18_Mision 6_DJI_0030.jpg\n", + "\t1_Mision 10_DJI_0123.jpg\n", + "\t35_Mision 9_DJI_0040.jpg\n", + "\t22_Mision 47_DJI_0091.jpg\n", + "\t27_Mision 15_DJI_0025.jpg\n", + "\t10_Mision 21_DJI_0059.jpg\n", + "\t1_Mision 4_DJI_0038.jpg\n", + "\t19_Mision 16_DJI_0082.jpg\n", + "\tPunto_6.png\n", + "\t1_Mision 13_DJI_0021.jpg\n", + "\t1_Mision 51_DJI_0175.jpg\n", + "\t4_Mision 38_DJI_0054.jpg\n", + "\t3_Mision 18_DJI_0088.jpg\n", + "\t1_Mision 17_DJI_0029.jpg\n", + "\t12_Mision 16_DJI_0056.jpg\n", + "\t2_Mision 47_DJI_0090.jpg\n", + "\t1_Mision 3_DJI_0008.jpg\n", + "\t1_Mision 10_DJI_0092.jpg\n", + "\t1_Mision 7_DJI_0013_1.jpg\n", + "\t2_Mision 9_DJI_0040_1.jpg\n", + "\t1_Mision 47_DJI_0090.jpg\n", + "\t1_Mision 26_DJI_0085.jpg\n", + "\t3_Mision 48_DJI_0079.jpg\n", + "\t7_Mision 55_DJI_0263.jpg\n", + "\t9_Mision 9_DJI_0040.jpg\n", + "\t1_Mision 23_DJI_0022.jpg\n", + "\t6_Mision 20_DJI_0021.jpg\n", + "\t3_Mision 4_DJI_0038.jpg\n", + "\t16_Mision 4_DJI_0044.jpg\n", + "\t2_Mision 6_DJI_0070.jpg\n", + "\t1_Mision 3_DJI_0049.jpg\n", + "\t3_Mision 9_DJI_0040.jpg\n", + "\t3_Mision 55_DJI_0263.jpg\n", + "\t2_Mision 55_DJI_0263.jpg\n", + "\t2_Mision 55_DJI_0263_1.jpg\n", + "\t25_Mision 12_DJI_0036.jpg\n", + "\t1_Mision 17_DJI_0029_1.jpg\n", + "\t24_Mision 12_DJI_0036.jpg\n", + "\t38_Mision 47_DJI_0091.jpg\n", + "\t5_Mision 32_DJI_0014.jpg\n", + "\t3_Mision 23_DJI_0058.jpg\n", + "\t1_Mision 7_DJI_0013.jpg\n", + "\t1_Mision 10_DJI_0092_2.jpg\n", + "\t4_Mision 16_DJI_0056_1.jpg\n", + "\t4_Mision 16_DJI_0092.jpg\n", + "\t1_Mision 38_DJI_0050.jpg\n", + "\t6_Mision 17_DJI_0029.jpg\n", + "\t1_Mision 10_DJI_0118.jpg\n", + "\t23_Mision 12_DJI_0036.jpg\n", + "\t5_Mision 47_DJI_0091.jpg\n", + "\t7_Mision 15_DJI_0070.jpg\n", + "\t2_Mision 19_DJI_0024.jpg\n", + "\t2_Mision 16_DJI_0065.jpg\n", + "\t7_Mision 22_DJI_0006.jpg\n", + "\t3_Mision 11_DJI_0058.jpg\n", + "\t10_Mision 10_DJI_0118.jpg\n", + "\t4_Mision 23_DJI_0058_1.jpg\n", + "\t9_Mision 12_DJI_0036.jpg\n", + "\t4_Mision 4_DJI_0046.jpg\n", + "\t2_Mision 16_DJI_0082.jpg\n", + "\t24_Mision 11_DJI_0038.jpg\n", + "\t27_Mision 11_DJI_0018.jpg\n", + "\t24_Mision 16_DJI_0082.jpg\n", + "\t4_Mision 15_DJI_0091.jpg\n", + "\t1_Mision 53_DJI_0077.jpg\n", + "\t2_Mision 50_DJI_0019.jpg\n", + "\t1_Mision 35_DJI_0005.jpg\n", + "\t30_Mision 11_DJI_0038.jpg\n", + "\t1_Mision 22_DJI_0091.jpg\n", + "\t1_Mision 3_DJI_0018.jpg\n", + "\t10_Mision 22_DJI_0006.jpg\n", + "\t4_Mision 4_DJI_0044.jpg\n", + "\t41_Mision 11_DJI_0018.jpg\n", + "\t10_Mision 11_DJI_0038.jpg\n", + "\t2_Mision 12_DJI_0036_1.jpg\n", + "\t1_Mision 17_DJI_0089.jpg\n", + "\t2_Mision 26_DJI_0068.jpg\n", + "\t7_Mision 13_DJI_0040.jpg\n", + "\t2_Mision 28_DJI_0091.jpg\n", + "\t12_Mision 21_DJI_0010.jpg\n", + "\t3_Mision 16_DJI_0056.jpg\n", + "\t20_Mision 47_DJI_0091.jpg\n", + "\t2_Mision 23_DJI_0009.jpg\n", + "\t51_Mision 15_DJI_0025.jpg\n", + "\t38_Mision 6_DJI_0030.jpg\n", + "\t4_Mision 19_DJI_0022_1.jpg\n", + "\t1_Mision 51_DJI_0178.jpg\n", + "\t12_Mision 11_DJI_0038.jpg\n", + "\t30_Mision 47_DJI_0091.jpg\n", + "\t28_Mision 11_DJI_0018.jpg\n", + "\t1_Mision 12_DJI_0065.jpg\n", + "\t1_Mision 5_DJI_0060.jpg\n", + "\t4_Mision 36_DJI_0089.jpg\n", + "\t1_Mision 17_DJI_0083.jpg\n", + "\t2_Mision 3_DJI_0044.jpg\n", + "\t2_Mision 6_DJI_0030_1.jpg\n", + "\t4_Mision 11_DJI_0018.jpg\n", + "\t1_Mision 3_DJI_0091.jpg\n", + "\t3_Mision 46_DJI_0021_1.jpg\n", + "\t1_Mision 11_DJI_0049.jpg\n", + "\t7_Mision 6_DJI_0030.jpg\n", + "\t1_Mision 3_DJI_0042.jpg\n", + "\t2_Mision 3_DJI_0009.jpg\n", + "\t6_Mision 14_DJI_0005.jpg\n", + "\t1_Mision 4_DJI_0079.jpg\n", + "\t2_Mision 14_DJI_0005_1.jpg\n", + "\t25_Mision 9_DJI_0040.jpg\n", + "\t9_Mision 20_DJI_0048.jpg\n", + "\t4_Mision 4_DJI_0044_1.jpg\n", + "\t2_Mision 50_DJI_0053_1.jpg\n", + "\t6_Mision 12_DJI_0036.jpg\n", + "\t3_Mision 18_DJI_0011_1.jpg\n", + "\t40_Mision 47_DJI_0091.jpg\n", + "\t2_Mision 32_DJI_0029_1.jpg\n", + "\t1_Mision 47_DJI_0005.jpg\n", + "\t14_Mision 12_DJI_0036.jpg\n", + "\t1_Mision 11_DJI_0038.jpg\n", + "\t6_Mision 19_DJI_0022.jpg\n", + "\t1_Mision 1_DJI_0005.jpg\n", + "\t8_Mision 10_DJI_0118.jpg\n", + "\t1_Mision 4_DJI_0046.jpg\n", + "\t6_Mision 23_DJI_0058.jpg\n", + "\t2_Mision 17_DJI_0029.jpg\n", + "\t20_Mision 12_DJI_0036.jpg\n", + "\t3_Mision 14_DJI_0005_1.jpg\n", + "\t1_Mision 33_DJI_0080.jpg\n", + "\tDiodo_1.png\n", + "\t8_Mision 16_DJI_0082.jpg\n", + "\t7_Mision 28_DJI_0060.jpg\n", + "\t16_Mision 11_DJI_0038.jpg\n", + "\t2_Mision 21_DJI_0010.jpg\n", + "\t9_Mision 13_DJI_0040.jpg\n", + "\t10_Mision 5_DJI_0075.jpg\n", + "\t10_Mision 23_DJI_0058.jpg\n", + "\t13_Mision 21_DJI_0059.jpg\n", + "\t9_Mision 32_DJI_0029.jpg\n", + "\t7_Mision 21_DJI_0010.jpg\n", + "\t25_Mision 11_DJI_0018.jpg\n", + "\t28_Mision 11_DJI_0038.jpg\n", + "\t7_Mision 19_DJI_0022.jpg\n", + "\t2_Mision 21_DJI_0059.jpg\n", + "\t2_Mision 14_DJI_0069.jpg\n", + "\t2_Mision 39_DJI_0053.jpg\n", + "Found directory: ./model_1\n", + "\tmodel.json\n", + "\ttop_model_weights.h5\n", + "\tmodel_weights.h5\n" + ] + } + ], "source": [ "\n", "# Set the directory you want to start from\n", @@ -42,35 +2397,1885 @@ "\n", "# load our serialized face detector from disk\n", "# fix seed for reproducible results (only works on CPU, not GPU)\n", - "seed = 9\n", + "seed = 1\n", "np.random.seed(seed=seed)\n", "tf.random.set_seed(seed=seed)\n", "\n", "# hyper parameters for model\n", - "nb_classes = 10 # number of classes\n", + "nb_classes = 2 # number of classes\n", "based_model_last_block_layer_number = 126 # value is based on based model selected.\n", - "img_width, img_height = 80, 80 # change based on the shape/structure of your images\n", + "img_width, img_height = 32, 32 # change based on the shape/structure of your images\n", "batch_size = 8 # try 4, 8, 16, 32, 64, 128, 256 dependent on CPU/GPU memory capacity (powers of 2 values).\n", - "nb_epoch = 500 # number of iteration the algorithm gets trained.\n", + "nb_epoch = 50 # number of iteration the algorithm gets trained.\n", "learn_rate = 1e-4 # sgd learning rate\n", "momentum = .9 # sgd momentum to avoid local minimum\n", - "transformation_ratio = .1 # how aggressive will be the data augmentation/transformation\n", + "transformation_ratio = .0001 # how aggressive will be the data augmentation/transformation\n", "patience = 10\n", "\n", - "train_data_dir = './dataset_panel/' # Inside, each class should have it's own folder\n", + "train_data_dir = './Data_set_2/Data_prueba_0/' # Inside, each class should have it's own folder\n", "#validation_data_dir = './dataset/' # each class should have it's own folder\n", - "model_path = './model/'" + "model_path = './model_2/'" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 11, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Model: \"model_1\"\n", + "__________________________________________________________________________________________________\n", + "Layer (type) Output Shape Param # Connected to \n", + "==================================================================================================\n", + "input_4 (InputLayer) [(None, 32, 32, 3)] 0 \n", + "__________________________________________________________________________________________________\n", + "stem_conv1 (Conv2D) (None, 15, 15, 32) 864 input_4[0][0] \n", + "__________________________________________________________________________________________________\n", + "stem_bn1 (BatchNormalization) (None, 15, 15, 32) 128 stem_conv1[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_564 (Activation) (None, 15, 15, 32) 0 stem_bn1[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_conv_1_stem_1 (Conv2D (None, 15, 15, 11) 352 activation_564[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_bn_1_stem_1 (BatchNor (None, 15, 15, 11) 44 reduction_conv_1_stem_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_565 (Activation) (None, 15, 15, 11) 0 reduction_bn_1_stem_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_567 (Activation) (None, 15, 15, 32) 0 stem_bn1[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_pad_reduction_ (None, 19, 19, 11) 0 activation_565[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_pad_reduction_ (None, 21, 21, 32) 0 activation_567[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_left (None, 8, 8, 11) 396 separable_conv_1_pad_reduction_le\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_righ (None, 8, 8, 11) 1920 separable_conv_1_pad_reduction_ri\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_l (None, 8, 8, 11) 44 separable_conv_1_reduction_left1_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_r (None, 8, 8, 11) 44 separable_conv_1_reduction_right1\n", + "__________________________________________________________________________________________________\n", + "activation_566 (Activation) (None, 8, 8, 11) 0 separable_conv_1_bn_reduction_lef\n", + "__________________________________________________________________________________________________\n", + "activation_568 (Activation) (None, 8, 8, 11) 0 separable_conv_1_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_left (None, 8, 8, 11) 396 activation_566[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_righ (None, 8, 8, 11) 660 activation_568[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_569 (Activation) (None, 15, 15, 32) 0 stem_bn1[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_l (None, 8, 8, 11) 44 separable_conv_2_reduction_left1_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_r (None, 8, 8, 11) 44 separable_conv_2_reduction_right1\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_pad_reduction_ (None, 21, 21, 32) 0 activation_569[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_571 (Activation) (None, 15, 15, 32) 0 stem_bn1[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_add_1_stem_1 (Add) (None, 8, 8, 11) 0 separable_conv_2_bn_reduction_lef\n", + " separable_conv_2_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_righ (None, 8, 8, 11) 1920 separable_conv_1_pad_reduction_ri\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_pad_reduction_ (None, 19, 19, 32) 0 activation_571[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_573 (Activation) (None, 8, 8, 11) 0 reduction_add_1_stem_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_r (None, 8, 8, 11) 44 separable_conv_1_reduction_right2\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_righ (None, 8, 8, 11) 1152 separable_conv_1_pad_reduction_ri\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_left (None, 8, 8, 11) 220 activation_573[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_570 (Activation) (None, 8, 8, 11) 0 separable_conv_1_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_r (None, 8, 8, 11) 44 separable_conv_1_reduction_right3\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_l (None, 8, 8, 11) 44 separable_conv_1_reduction_left4_\n", + "__________________________________________________________________________________________________\n", + "reduction_pad_1_stem_1 (ZeroPad (None, 17, 17, 11) 0 reduction_bn_1_stem_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_righ (None, 8, 8, 11) 660 activation_570[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_572 (Activation) (None, 8, 8, 11) 0 separable_conv_1_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "activation_574 (Activation) (None, 8, 8, 11) 0 separable_conv_1_bn_reduction_lef\n", + "__________________________________________________________________________________________________\n", + "reduction_left2_stem_1 (MaxPool (None, 8, 8, 11) 0 reduction_pad_1_stem_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_r (None, 8, 8, 11) 44 separable_conv_2_reduction_right2\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_righ (None, 8, 8, 11) 396 activation_572[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_left (None, 8, 8, 11) 220 activation_574[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_relu_1_stem_2 (Activatio (None, 15, 15, 32) 0 stem_bn1[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_add_2_stem_1 (Add) (None, 8, 8, 11) 0 reduction_left2_stem_1[0][0] \n", + " separable_conv_2_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "reduction_left3_stem_1 (Average (None, 8, 8, 11) 0 reduction_pad_1_stem_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_r (None, 8, 8, 11) 44 separable_conv_2_reduction_right3\n", + "__________________________________________________________________________________________________\n", + "reduction_left4_stem_1 (Average (None, 8, 8, 11) 0 reduction_add_1_stem_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_l (None, 8, 8, 11) 44 separable_conv_2_reduction_left4_\n", + "__________________________________________________________________________________________________\n", + "reduction_right5_stem_1 (MaxPoo (None, 8, 8, 11) 0 reduction_pad_1_stem_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "zero_padding2d_12 (ZeroPadding2 (None, 16, 16, 32) 0 adjust_relu_1_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_add3_stem_1 (Add) (None, 8, 8, 11) 0 reduction_left3_stem_1[0][0] \n", + " separable_conv_2_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "add_12 (Add) (None, 8, 8, 11) 0 reduction_add_2_stem_1[0][0] \n", + " reduction_left4_stem_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_add4_stem_1 (Add) (None, 8, 8, 11) 0 separable_conv_2_bn_reduction_lef\n", + " reduction_right5_stem_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "cropping2d_12 (Cropping2D) (None, 15, 15, 32) 0 zero_padding2d_12[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_concat_stem_1 (Concat (None, 8, 8, 44) 0 reduction_add_2_stem_1[0][0] \n", + " reduction_add3_stem_1[0][0] \n", + " add_12[0][0] \n", + " reduction_add4_stem_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_avg_pool_1_stem_2 (Avera (None, 8, 8, 32) 0 adjust_relu_1_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_avg_pool_2_stem_2 (Avera (None, 8, 8, 32) 0 cropping2d_12[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_575 (Activation) (None, 8, 8, 44) 0 reduction_concat_stem_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_conv_1_stem_2 (Conv2D) (None, 8, 8, 11) 352 adjust_avg_pool_1_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_conv_2_stem_2 (Conv2D) (None, 8, 8, 11) 352 adjust_avg_pool_2_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_conv_1_stem_2 (Conv2D (None, 8, 8, 22) 968 activation_575[0][0] \n", + "__________________________________________________________________________________________________\n", + "concatenate_12 (Concatenate) (None, 8, 8, 22) 0 adjust_conv_1_stem_2[0][0] \n", + " adjust_conv_2_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_bn_1_stem_2 (BatchNor (None, 8, 8, 22) 88 reduction_conv_1_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_bn_stem_2 (BatchNormaliz (None, 8, 8, 22) 88 concatenate_12[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_576 (Activation) (None, 8, 8, 22) 0 reduction_bn_1_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_578 (Activation) (None, 8, 8, 22) 0 adjust_bn_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_pad_reduction_ (None, 11, 11, 22) 0 activation_576[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_pad_reduction_ (None, 13, 13, 22) 0 activation_578[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_left (None, 4, 4, 22) 1034 separable_conv_1_pad_reduction_le\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_righ (None, 4, 4, 22) 1562 separable_conv_1_pad_reduction_ri\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_l (None, 4, 4, 22) 88 separable_conv_1_reduction_left1_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_r (None, 4, 4, 22) 88 separable_conv_1_reduction_right1\n", + "__________________________________________________________________________________________________\n", + "activation_577 (Activation) (None, 4, 4, 22) 0 separable_conv_1_bn_reduction_lef\n", + "__________________________________________________________________________________________________\n", + "activation_579 (Activation) (None, 4, 4, 22) 0 separable_conv_1_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_left (None, 4, 4, 22) 1034 activation_577[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_righ (None, 4, 4, 22) 1562 activation_579[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_580 (Activation) (None, 8, 8, 22) 0 adjust_bn_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_l (None, 4, 4, 22) 88 separable_conv_2_reduction_left1_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_r (None, 4, 4, 22) 88 separable_conv_2_reduction_right1\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_pad_reduction_ (None, 13, 13, 22) 0 activation_580[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_582 (Activation) (None, 8, 8, 22) 0 adjust_bn_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_add_1_stem_2 (Add) (None, 4, 4, 22) 0 separable_conv_2_bn_reduction_lef\n", + " separable_conv_2_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_righ (None, 4, 4, 22) 1562 separable_conv_1_pad_reduction_ri\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_pad_reduction_ (None, 11, 11, 22) 0 activation_582[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_584 (Activation) (None, 4, 4, 22) 0 reduction_add_1_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_r (None, 4, 4, 22) 88 separable_conv_1_reduction_right2\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_righ (None, 4, 4, 22) 1034 separable_conv_1_pad_reduction_ri\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_left (None, 4, 4, 22) 682 activation_584[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_581 (Activation) (None, 4, 4, 22) 0 separable_conv_1_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_r (None, 4, 4, 22) 88 separable_conv_1_reduction_right3\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_l (None, 4, 4, 22) 88 separable_conv_1_reduction_left4_\n", + "__________________________________________________________________________________________________\n", + "reduction_pad_1_stem_2 (ZeroPad (None, 9, 9, 22) 0 reduction_bn_1_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_righ (None, 4, 4, 22) 1562 activation_581[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_583 (Activation) (None, 4, 4, 22) 0 separable_conv_1_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "activation_585 (Activation) (None, 4, 4, 22) 0 separable_conv_1_bn_reduction_lef\n", + "__________________________________________________________________________________________________\n", + "reduction_left2_stem_2 (MaxPool (None, 4, 4, 22) 0 reduction_pad_1_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_r (None, 4, 4, 22) 88 separable_conv_2_reduction_right2\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_righ (None, 4, 4, 22) 1034 activation_583[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_left (None, 4, 4, 22) 682 activation_585[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_relu_1_0 (Activation) (None, 8, 8, 44) 0 reduction_concat_stem_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_add_2_stem_2 (Add) (None, 4, 4, 22) 0 reduction_left2_stem_2[0][0] \n", + " separable_conv_2_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "reduction_left3_stem_2 (Average (None, 4, 4, 22) 0 reduction_pad_1_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_r (None, 4, 4, 22) 88 separable_conv_2_reduction_right3\n", + "__________________________________________________________________________________________________\n", + "reduction_left4_stem_2 (Average (None, 4, 4, 22) 0 reduction_add_1_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_l (None, 4, 4, 22) 88 separable_conv_2_reduction_left4_\n", + "__________________________________________________________________________________________________\n", + "reduction_right5_stem_2 (MaxPoo (None, 4, 4, 22) 0 reduction_pad_1_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "zero_padding2d_13 (ZeroPadding2 (None, 9, 9, 44) 0 adjust_relu_1_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_add3_stem_2 (Add) (None, 4, 4, 22) 0 reduction_left3_stem_2[0][0] \n", + " separable_conv_2_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "add_13 (Add) (None, 4, 4, 22) 0 reduction_add_2_stem_2[0][0] \n", + " reduction_left4_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_add4_stem_2 (Add) (None, 4, 4, 22) 0 separable_conv_2_bn_reduction_lef\n", + " reduction_right5_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "cropping2d_13 (Cropping2D) (None, 8, 8, 44) 0 zero_padding2d_13[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_concat_stem_2 (Concat (None, 4, 4, 88) 0 reduction_add_2_stem_2[0][0] \n", + " reduction_add3_stem_2[0][0] \n", + " add_13[0][0] \n", + " reduction_add4_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_avg_pool_1_0 (AveragePoo (None, 4, 4, 44) 0 adjust_relu_1_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_avg_pool_2_0 (AveragePoo (None, 4, 4, 44) 0 cropping2d_13[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_conv_1_0 (Conv2D) (None, 4, 4, 22) 968 adjust_avg_pool_1_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_conv_2_0 (Conv2D) (None, 4, 4, 22) 968 adjust_avg_pool_2_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_586 (Activation) (None, 4, 4, 88) 0 reduction_concat_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "concatenate_13 (Concatenate) (None, 4, 4, 44) 0 adjust_conv_1_0[0][0] \n", + " adjust_conv_2_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_conv_1_0 (Conv2D) (None, 4, 4, 44) 3872 activation_586[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_bn_0 (BatchNormalization (None, 4, 4, 44) 176 concatenate_13[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_bn_1_0 (BatchNormalizati (None, 4, 4, 44) 176 normal_conv_1_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_587 (Activation) (None, 4, 4, 44) 0 normal_bn_1_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_589 (Activation) (None, 4, 4, 44) 0 adjust_bn_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_591 (Activation) (None, 4, 4, 44) 0 adjust_bn_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_593 (Activation) (None, 4, 4, 44) 0 adjust_bn_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_595 (Activation) (None, 4, 4, 44) 0 normal_bn_1_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left1_0 (None, 4, 4, 44) 3036 activation_587[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right1_ (None, 4, 4, 44) 2332 activation_589[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left2_0 (None, 4, 4, 44) 3036 activation_591[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right2_ (None, 4, 4, 44) 2332 activation_593[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left5_0 (None, 4, 4, 44) 2332 activation_595[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 4, 4, 44) 176 separable_conv_1_normal_left1_0[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 4, 4, 44) 176 separable_conv_1_normal_right1_0[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 4, 4, 44) 176 separable_conv_1_normal_left2_0[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 4, 4, 44) 176 separable_conv_1_normal_right2_0[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 4, 4, 44) 176 separable_conv_1_normal_left5_0[0\n", + "__________________________________________________________________________________________________\n", + "activation_588 (Activation) (None, 4, 4, 44) 0 separable_conv_1_bn_normal_left1_\n", + "__________________________________________________________________________________________________\n", + "activation_590 (Activation) (None, 4, 4, 44) 0 separable_conv_1_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "activation_592 (Activation) (None, 4, 4, 44) 0 separable_conv_1_bn_normal_left2_\n", + "__________________________________________________________________________________________________\n", + "activation_594 (Activation) (None, 4, 4, 44) 0 separable_conv_1_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "activation_596 (Activation) (None, 4, 4, 44) 0 separable_conv_1_bn_normal_left5_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left1_0 (None, 4, 4, 44) 3036 activation_588[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right1_ (None, 4, 4, 44) 2332 activation_590[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left2_0 (None, 4, 4, 44) 3036 activation_592[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right2_ (None, 4, 4, 44) 2332 activation_594[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left5_0 (None, 4, 4, 44) 2332 activation_596[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 4, 4, 44) 176 separable_conv_2_normal_left1_0[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 4, 4, 44) 176 separable_conv_2_normal_right1_0[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 4, 4, 44) 176 separable_conv_2_normal_left2_0[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 4, 4, 44) 176 separable_conv_2_normal_right2_0[\n", + "__________________________________________________________________________________________________\n", + "normal_left3_0 (AveragePooling2 (None, 4, 4, 44) 0 normal_bn_1_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_left4_0 (AveragePooling2 (None, 4, 4, 44) 0 adjust_bn_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_right4_0 (AveragePooling (None, 4, 4, 44) 0 adjust_bn_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 4, 4, 44) 176 separable_conv_2_normal_left5_0[0\n", + "__________________________________________________________________________________________________\n", + "normal_add_1_0 (Add) (None, 4, 4, 44) 0 separable_conv_2_bn_normal_left1_\n", + " separable_conv_2_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "normal_add_2_0 (Add) (None, 4, 4, 44) 0 separable_conv_2_bn_normal_left2_\n", + " separable_conv_2_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "normal_add_3_0 (Add) (None, 4, 4, 44) 0 normal_left3_0[0][0] \n", + " adjust_bn_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_4_0 (Add) (None, 4, 4, 44) 0 normal_left4_0[0][0] \n", + " normal_right4_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_5_0 (Add) (None, 4, 4, 44) 0 separable_conv_2_bn_normal_left5_\n", + " normal_bn_1_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_concat_0 (Concatenate) (None, 4, 4, 264) 0 adjust_bn_0[0][0] \n", + " normal_add_1_0[0][0] \n", + " normal_add_2_0[0][0] \n", + " normal_add_3_0[0][0] \n", + " normal_add_4_0[0][0] \n", + " normal_add_5_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_597 (Activation) (None, 4, 4, 88) 0 reduction_concat_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_598 (Activation) (None, 4, 4, 264) 0 normal_concat_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_conv_projection_1 (Conv2 (None, 4, 4, 44) 3872 activation_597[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_conv_1_1 (Conv2D) (None, 4, 4, 44) 11616 activation_598[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_bn_1 (BatchNormalization (None, 4, 4, 44) 176 adjust_conv_projection_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_bn_1_1 (BatchNormalizati (None, 4, 4, 44) 176 normal_conv_1_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_599 (Activation) (None, 4, 4, 44) 0 normal_bn_1_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_601 (Activation) (None, 4, 4, 44) 0 adjust_bn_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_603 (Activation) (None, 4, 4, 44) 0 adjust_bn_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_605 (Activation) (None, 4, 4, 44) 0 adjust_bn_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_607 (Activation) (None, 4, 4, 44) 0 normal_bn_1_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left1_1 (None, 4, 4, 44) 3036 activation_599[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right1_ (None, 4, 4, 44) 2332 activation_601[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left2_1 (None, 4, 4, 44) 3036 activation_603[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right2_ (None, 4, 4, 44) 2332 activation_605[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left5_1 (None, 4, 4, 44) 2332 activation_607[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 4, 4, 44) 176 separable_conv_1_normal_left1_1[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 4, 4, 44) 176 separable_conv_1_normal_right1_1[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 4, 4, 44) 176 separable_conv_1_normal_left2_1[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 4, 4, 44) 176 separable_conv_1_normal_right2_1[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 4, 4, 44) 176 separable_conv_1_normal_left5_1[0\n", + "__________________________________________________________________________________________________\n", + "activation_600 (Activation) (None, 4, 4, 44) 0 separable_conv_1_bn_normal_left1_\n", + "__________________________________________________________________________________________________\n", + "activation_602 (Activation) (None, 4, 4, 44) 0 separable_conv_1_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "activation_604 (Activation) (None, 4, 4, 44) 0 separable_conv_1_bn_normal_left2_\n", + "__________________________________________________________________________________________________\n", + "activation_606 (Activation) (None, 4, 4, 44) 0 separable_conv_1_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "activation_608 (Activation) (None, 4, 4, 44) 0 separable_conv_1_bn_normal_left5_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left1_1 (None, 4, 4, 44) 3036 activation_600[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right1_ (None, 4, 4, 44) 2332 activation_602[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left2_1 (None, 4, 4, 44) 3036 activation_604[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right2_ (None, 4, 4, 44) 2332 activation_606[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left5_1 (None, 4, 4, 44) 2332 activation_608[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 4, 4, 44) 176 separable_conv_2_normal_left1_1[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 4, 4, 44) 176 separable_conv_2_normal_right1_1[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 4, 4, 44) 176 separable_conv_2_normal_left2_1[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 4, 4, 44) 176 separable_conv_2_normal_right2_1[\n", + "__________________________________________________________________________________________________\n", + "normal_left3_1 (AveragePooling2 (None, 4, 4, 44) 0 normal_bn_1_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_left4_1 (AveragePooling2 (None, 4, 4, 44) 0 adjust_bn_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_right4_1 (AveragePooling (None, 4, 4, 44) 0 adjust_bn_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 4, 4, 44) 176 separable_conv_2_normal_left5_1[0\n", + "__________________________________________________________________________________________________\n", + "normal_add_1_1 (Add) (None, 4, 4, 44) 0 separable_conv_2_bn_normal_left1_\n", + " separable_conv_2_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "normal_add_2_1 (Add) (None, 4, 4, 44) 0 separable_conv_2_bn_normal_left2_\n", + " separable_conv_2_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "normal_add_3_1 (Add) (None, 4, 4, 44) 0 normal_left3_1[0][0] \n", + " adjust_bn_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_4_1 (Add) (None, 4, 4, 44) 0 normal_left4_1[0][0] \n", + " normal_right4_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_5_1 (Add) (None, 4, 4, 44) 0 separable_conv_2_bn_normal_left5_\n", + " normal_bn_1_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_concat_1 (Concatenate) (None, 4, 4, 264) 0 adjust_bn_1[0][0] \n", + " normal_add_1_1[0][0] \n", + " normal_add_2_1[0][0] \n", + " normal_add_3_1[0][0] \n", + " normal_add_4_1[0][0] \n", + " normal_add_5_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_609 (Activation) (None, 4, 4, 264) 0 normal_concat_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_610 (Activation) (None, 4, 4, 264) 0 normal_concat_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_conv_projection_2 (Conv2 (None, 4, 4, 44) 11616 activation_609[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_conv_1_2 (Conv2D) (None, 4, 4, 44) 11616 activation_610[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_bn_2 (BatchNormalization (None, 4, 4, 44) 176 adjust_conv_projection_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_bn_1_2 (BatchNormalizati (None, 4, 4, 44) 176 normal_conv_1_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_611 (Activation) (None, 4, 4, 44) 0 normal_bn_1_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_613 (Activation) (None, 4, 4, 44) 0 adjust_bn_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_615 (Activation) (None, 4, 4, 44) 0 adjust_bn_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_617 (Activation) (None, 4, 4, 44) 0 adjust_bn_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_619 (Activation) (None, 4, 4, 44) 0 normal_bn_1_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left1_2 (None, 4, 4, 44) 3036 activation_611[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right1_ (None, 4, 4, 44) 2332 activation_613[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left2_2 (None, 4, 4, 44) 3036 activation_615[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right2_ (None, 4, 4, 44) 2332 activation_617[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left5_2 (None, 4, 4, 44) 2332 activation_619[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 4, 4, 44) 176 separable_conv_1_normal_left1_2[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 4, 4, 44) 176 separable_conv_1_normal_right1_2[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 4, 4, 44) 176 separable_conv_1_normal_left2_2[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 4, 4, 44) 176 separable_conv_1_normal_right2_2[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 4, 4, 44) 176 separable_conv_1_normal_left5_2[0\n", + "__________________________________________________________________________________________________\n", + "activation_612 (Activation) (None, 4, 4, 44) 0 separable_conv_1_bn_normal_left1_\n", + "__________________________________________________________________________________________________\n", + "activation_614 (Activation) (None, 4, 4, 44) 0 separable_conv_1_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "activation_616 (Activation) (None, 4, 4, 44) 0 separable_conv_1_bn_normal_left2_\n", + "__________________________________________________________________________________________________\n", + "activation_618 (Activation) (None, 4, 4, 44) 0 separable_conv_1_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "activation_620 (Activation) (None, 4, 4, 44) 0 separable_conv_1_bn_normal_left5_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left1_2 (None, 4, 4, 44) 3036 activation_612[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right1_ (None, 4, 4, 44) 2332 activation_614[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left2_2 (None, 4, 4, 44) 3036 activation_616[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right2_ (None, 4, 4, 44) 2332 activation_618[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left5_2 (None, 4, 4, 44) 2332 activation_620[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 4, 4, 44) 176 separable_conv_2_normal_left1_2[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 4, 4, 44) 176 separable_conv_2_normal_right1_2[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 4, 4, 44) 176 separable_conv_2_normal_left2_2[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 4, 4, 44) 176 separable_conv_2_normal_right2_2[\n", + "__________________________________________________________________________________________________\n", + "normal_left3_2 (AveragePooling2 (None, 4, 4, 44) 0 normal_bn_1_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_left4_2 (AveragePooling2 (None, 4, 4, 44) 0 adjust_bn_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_right4_2 (AveragePooling (None, 4, 4, 44) 0 adjust_bn_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 4, 4, 44) 176 separable_conv_2_normal_left5_2[0\n", + "__________________________________________________________________________________________________\n", + "normal_add_1_2 (Add) (None, 4, 4, 44) 0 separable_conv_2_bn_normal_left1_\n", + " separable_conv_2_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "normal_add_2_2 (Add) (None, 4, 4, 44) 0 separable_conv_2_bn_normal_left2_\n", + " separable_conv_2_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "normal_add_3_2 (Add) (None, 4, 4, 44) 0 normal_left3_2[0][0] \n", + " adjust_bn_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_4_2 (Add) (None, 4, 4, 44) 0 normal_left4_2[0][0] \n", + " normal_right4_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_5_2 (Add) (None, 4, 4, 44) 0 separable_conv_2_bn_normal_left5_\n", + " normal_bn_1_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_concat_2 (Concatenate) (None, 4, 4, 264) 0 adjust_bn_2[0][0] \n", + " normal_add_1_2[0][0] \n", + " normal_add_2_2[0][0] \n", + " normal_add_3_2[0][0] \n", + " normal_add_4_2[0][0] \n", + " normal_add_5_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_621 (Activation) (None, 4, 4, 264) 0 normal_concat_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_622 (Activation) (None, 4, 4, 264) 0 normal_concat_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_conv_projection_3 (Conv2 (None, 4, 4, 44) 11616 activation_621[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_conv_1_3 (Conv2D) (None, 4, 4, 44) 11616 activation_622[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_bn_3 (BatchNormalization (None, 4, 4, 44) 176 adjust_conv_projection_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_bn_1_3 (BatchNormalizati (None, 4, 4, 44) 176 normal_conv_1_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_623 (Activation) (None, 4, 4, 44) 0 normal_bn_1_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_625 (Activation) (None, 4, 4, 44) 0 adjust_bn_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_627 (Activation) (None, 4, 4, 44) 0 adjust_bn_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_629 (Activation) (None, 4, 4, 44) 0 adjust_bn_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_631 (Activation) (None, 4, 4, 44) 0 normal_bn_1_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left1_3 (None, 4, 4, 44) 3036 activation_623[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right1_ (None, 4, 4, 44) 2332 activation_625[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left2_3 (None, 4, 4, 44) 3036 activation_627[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right2_ (None, 4, 4, 44) 2332 activation_629[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left5_3 (None, 4, 4, 44) 2332 activation_631[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 4, 4, 44) 176 separable_conv_1_normal_left1_3[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 4, 4, 44) 176 separable_conv_1_normal_right1_3[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 4, 4, 44) 176 separable_conv_1_normal_left2_3[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 4, 4, 44) 176 separable_conv_1_normal_right2_3[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 4, 4, 44) 176 separable_conv_1_normal_left5_3[0\n", + "__________________________________________________________________________________________________\n", + "activation_624 (Activation) (None, 4, 4, 44) 0 separable_conv_1_bn_normal_left1_\n", + "__________________________________________________________________________________________________\n", + "activation_626 (Activation) (None, 4, 4, 44) 0 separable_conv_1_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "activation_628 (Activation) (None, 4, 4, 44) 0 separable_conv_1_bn_normal_left2_\n", + "__________________________________________________________________________________________________\n", + "activation_630 (Activation) (None, 4, 4, 44) 0 separable_conv_1_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "activation_632 (Activation) (None, 4, 4, 44) 0 separable_conv_1_bn_normal_left5_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left1_3 (None, 4, 4, 44) 3036 activation_624[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right1_ (None, 4, 4, 44) 2332 activation_626[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left2_3 (None, 4, 4, 44) 3036 activation_628[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right2_ (None, 4, 4, 44) 2332 activation_630[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left5_3 (None, 4, 4, 44) 2332 activation_632[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 4, 4, 44) 176 separable_conv_2_normal_left1_3[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 4, 4, 44) 176 separable_conv_2_normal_right1_3[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 4, 4, 44) 176 separable_conv_2_normal_left2_3[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 4, 4, 44) 176 separable_conv_2_normal_right2_3[\n", + "__________________________________________________________________________________________________\n", + "normal_left3_3 (AveragePooling2 (None, 4, 4, 44) 0 normal_bn_1_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_left4_3 (AveragePooling2 (None, 4, 4, 44) 0 adjust_bn_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_right4_3 (AveragePooling (None, 4, 4, 44) 0 adjust_bn_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 4, 4, 44) 176 separable_conv_2_normal_left5_3[0\n", + "__________________________________________________________________________________________________\n", + "normal_add_1_3 (Add) (None, 4, 4, 44) 0 separable_conv_2_bn_normal_left1_\n", + " separable_conv_2_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "normal_add_2_3 (Add) (None, 4, 4, 44) 0 separable_conv_2_bn_normal_left2_\n", + " separable_conv_2_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "normal_add_3_3 (Add) (None, 4, 4, 44) 0 normal_left3_3[0][0] \n", + " adjust_bn_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_4_3 (Add) (None, 4, 4, 44) 0 normal_left4_3[0][0] \n", + " normal_right4_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_5_3 (Add) (None, 4, 4, 44) 0 separable_conv_2_bn_normal_left5_\n", + " normal_bn_1_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_concat_3 (Concatenate) (None, 4, 4, 264) 0 adjust_bn_3[0][0] \n", + " normal_add_1_3[0][0] \n", + " normal_add_2_3[0][0] \n", + " normal_add_3_3[0][0] \n", + " normal_add_4_3[0][0] \n", + " normal_add_5_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_634 (Activation) (None, 4, 4, 264) 0 normal_concat_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_633 (Activation) (None, 4, 4, 264) 0 normal_concat_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_conv_1_reduce_4 (Conv (None, 4, 4, 88) 23232 activation_634[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_conv_projection_reduce_4 (None, 4, 4, 88) 23232 activation_633[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_bn_1_reduce_4 (BatchN (None, 4, 4, 88) 352 reduction_conv_1_reduce_4[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_bn_reduce_4 (BatchNormal (None, 4, 4, 88) 352 adjust_conv_projection_reduce_4[0\n", + "__________________________________________________________________________________________________\n", + "activation_635 (Activation) (None, 4, 4, 88) 0 reduction_bn_1_reduce_4[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_637 (Activation) (None, 4, 4, 88) 0 adjust_bn_reduce_4[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_pad_reduction_ (None, 7, 7, 88) 0 activation_635[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_pad_reduction_ (None, 9, 9, 88) 0 activation_637[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_left (None, 2, 2, 88) 9944 separable_conv_1_pad_reduction_le\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_righ (None, 2, 2, 88) 12056 separable_conv_1_pad_reduction_ri\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_l (None, 2, 2, 88) 352 separable_conv_1_reduction_left1_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_r (None, 2, 2, 88) 352 separable_conv_1_reduction_right1\n", + "__________________________________________________________________________________________________\n", + "activation_636 (Activation) (None, 2, 2, 88) 0 separable_conv_1_bn_reduction_lef\n", + "__________________________________________________________________________________________________\n", + "activation_638 (Activation) (None, 2, 2, 88) 0 separable_conv_1_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_left (None, 2, 2, 88) 9944 activation_636[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_righ (None, 2, 2, 88) 12056 activation_638[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_639 (Activation) (None, 4, 4, 88) 0 adjust_bn_reduce_4[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_l (None, 2, 2, 88) 352 separable_conv_2_reduction_left1_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_r (None, 2, 2, 88) 352 separable_conv_2_reduction_right1\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_pad_reduction_ (None, 9, 9, 88) 0 activation_639[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_641 (Activation) (None, 4, 4, 88) 0 adjust_bn_reduce_4[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_add_1_reduce_4 (Add) (None, 2, 2, 88) 0 separable_conv_2_bn_reduction_lef\n", + " separable_conv_2_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_righ (None, 2, 2, 88) 12056 separable_conv_1_pad_reduction_ri\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_pad_reduction_ (None, 7, 7, 88) 0 activation_641[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_643 (Activation) (None, 2, 2, 88) 0 reduction_add_1_reduce_4[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_r (None, 2, 2, 88) 352 separable_conv_1_reduction_right2\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_righ (None, 2, 2, 88) 9944 separable_conv_1_pad_reduction_ri\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_left (None, 2, 2, 88) 8536 activation_643[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_640 (Activation) (None, 2, 2, 88) 0 separable_conv_1_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_r (None, 2, 2, 88) 352 separable_conv_1_reduction_right3\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_l (None, 2, 2, 88) 352 separable_conv_1_reduction_left4_\n", + "__________________________________________________________________________________________________\n", + "reduction_pad_1_reduce_4 (ZeroP (None, 5, 5, 88) 0 reduction_bn_1_reduce_4[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_righ (None, 2, 2, 88) 12056 activation_640[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_642 (Activation) (None, 2, 2, 88) 0 separable_conv_1_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "activation_644 (Activation) (None, 2, 2, 88) 0 separable_conv_1_bn_reduction_lef\n", + "__________________________________________________________________________________________________\n", + "reduction_left2_reduce_4 (MaxPo (None, 2, 2, 88) 0 reduction_pad_1_reduce_4[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_r (None, 2, 2, 88) 352 separable_conv_2_reduction_right2\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_righ (None, 2, 2, 88) 9944 activation_642[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_left (None, 2, 2, 88) 8536 activation_644[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_relu_1_5 (Activation) (None, 4, 4, 264) 0 normal_concat_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_add_2_reduce_4 (Add) (None, 2, 2, 88) 0 reduction_left2_reduce_4[0][0] \n", + " separable_conv_2_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "reduction_left3_reduce_4 (Avera (None, 2, 2, 88) 0 reduction_pad_1_reduce_4[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_r (None, 2, 2, 88) 352 separable_conv_2_reduction_right3\n", + "__________________________________________________________________________________________________\n", + "reduction_left4_reduce_4 (Avera (None, 2, 2, 88) 0 reduction_add_1_reduce_4[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_l (None, 2, 2, 88) 352 separable_conv_2_reduction_left4_\n", + "__________________________________________________________________________________________________\n", + "reduction_right5_reduce_4 (MaxP (None, 2, 2, 88) 0 reduction_pad_1_reduce_4[0][0] \n", + "__________________________________________________________________________________________________\n", + "zero_padding2d_14 (ZeroPadding2 (None, 5, 5, 264) 0 adjust_relu_1_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_add3_reduce_4 (Add) (None, 2, 2, 88) 0 reduction_left3_reduce_4[0][0] \n", + " separable_conv_2_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "add_14 (Add) (None, 2, 2, 88) 0 reduction_add_2_reduce_4[0][0] \n", + " reduction_left4_reduce_4[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_add4_reduce_4 (Add) (None, 2, 2, 88) 0 separable_conv_2_bn_reduction_lef\n", + " reduction_right5_reduce_4[0][0] \n", + "__________________________________________________________________________________________________\n", + "cropping2d_14 (Cropping2D) (None, 4, 4, 264) 0 zero_padding2d_14[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_concat_reduce_4 (Conc (None, 2, 2, 352) 0 reduction_add_2_reduce_4[0][0] \n", + " reduction_add3_reduce_4[0][0] \n", + " add_14[0][0] \n", + " reduction_add4_reduce_4[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_avg_pool_1_5 (AveragePoo (None, 2, 2, 264) 0 adjust_relu_1_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_avg_pool_2_5 (AveragePoo (None, 2, 2, 264) 0 cropping2d_14[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_conv_1_5 (Conv2D) (None, 2, 2, 44) 11616 adjust_avg_pool_1_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_conv_2_5 (Conv2D) (None, 2, 2, 44) 11616 adjust_avg_pool_2_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_645 (Activation) (None, 2, 2, 352) 0 reduction_concat_reduce_4[0][0] \n", + "__________________________________________________________________________________________________\n", + "concatenate_14 (Concatenate) (None, 2, 2, 88) 0 adjust_conv_1_5[0][0] \n", + " adjust_conv_2_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_conv_1_5 (Conv2D) (None, 2, 2, 88) 30976 activation_645[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_bn_5 (BatchNormalization (None, 2, 2, 88) 352 concatenate_14[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_bn_1_5 (BatchNormalizati (None, 2, 2, 88) 352 normal_conv_1_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_646 (Activation) (None, 2, 2, 88) 0 normal_bn_1_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_648 (Activation) (None, 2, 2, 88) 0 adjust_bn_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_650 (Activation) (None, 2, 2, 88) 0 adjust_bn_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_652 (Activation) (None, 2, 2, 88) 0 adjust_bn_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_654 (Activation) (None, 2, 2, 88) 0 normal_bn_1_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left1_5 (None, 2, 2, 88) 9944 activation_646[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right1_ (None, 2, 2, 88) 8536 activation_648[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left2_5 (None, 2, 2, 88) 9944 activation_650[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right2_ (None, 2, 2, 88) 8536 activation_652[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left5_5 (None, 2, 2, 88) 8536 activation_654[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 2, 2, 88) 352 separable_conv_1_normal_left1_5[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 2, 2, 88) 352 separable_conv_1_normal_right1_5[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 2, 2, 88) 352 separable_conv_1_normal_left2_5[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 2, 2, 88) 352 separable_conv_1_normal_right2_5[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 2, 2, 88) 352 separable_conv_1_normal_left5_5[0\n", + "__________________________________________________________________________________________________\n", + "activation_647 (Activation) (None, 2, 2, 88) 0 separable_conv_1_bn_normal_left1_\n", + "__________________________________________________________________________________________________\n", + "activation_649 (Activation) (None, 2, 2, 88) 0 separable_conv_1_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "activation_651 (Activation) (None, 2, 2, 88) 0 separable_conv_1_bn_normal_left2_\n", + "__________________________________________________________________________________________________\n", + "activation_653 (Activation) (None, 2, 2, 88) 0 separable_conv_1_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "activation_655 (Activation) (None, 2, 2, 88) 0 separable_conv_1_bn_normal_left5_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left1_5 (None, 2, 2, 88) 9944 activation_647[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right1_ (None, 2, 2, 88) 8536 activation_649[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left2_5 (None, 2, 2, 88) 9944 activation_651[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right2_ (None, 2, 2, 88) 8536 activation_653[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left5_5 (None, 2, 2, 88) 8536 activation_655[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 2, 2, 88) 352 separable_conv_2_normal_left1_5[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 2, 2, 88) 352 separable_conv_2_normal_right1_5[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 2, 2, 88) 352 separable_conv_2_normal_left2_5[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 2, 2, 88) 352 separable_conv_2_normal_right2_5[\n", + "__________________________________________________________________________________________________\n", + "normal_left3_5 (AveragePooling2 (None, 2, 2, 88) 0 normal_bn_1_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_left4_5 (AveragePooling2 (None, 2, 2, 88) 0 adjust_bn_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_right4_5 (AveragePooling (None, 2, 2, 88) 0 adjust_bn_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 2, 2, 88) 352 separable_conv_2_normal_left5_5[0\n", + "__________________________________________________________________________________________________\n", + "normal_add_1_5 (Add) (None, 2, 2, 88) 0 separable_conv_2_bn_normal_left1_\n", + " separable_conv_2_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "normal_add_2_5 (Add) (None, 2, 2, 88) 0 separable_conv_2_bn_normal_left2_\n", + " separable_conv_2_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "normal_add_3_5 (Add) (None, 2, 2, 88) 0 normal_left3_5[0][0] \n", + " adjust_bn_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_4_5 (Add) (None, 2, 2, 88) 0 normal_left4_5[0][0] \n", + " normal_right4_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_5_5 (Add) (None, 2, 2, 88) 0 separable_conv_2_bn_normal_left5_\n", + " normal_bn_1_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_concat_5 (Concatenate) (None, 2, 2, 528) 0 adjust_bn_5[0][0] \n", + " normal_add_1_5[0][0] \n", + " normal_add_2_5[0][0] \n", + " normal_add_3_5[0][0] \n", + " normal_add_4_5[0][0] \n", + " normal_add_5_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_656 (Activation) (None, 2, 2, 352) 0 reduction_concat_reduce_4[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_657 (Activation) (None, 2, 2, 528) 0 normal_concat_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_conv_projection_6 (Conv2 (None, 2, 2, 88) 30976 activation_656[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_conv_1_6 (Conv2D) (None, 2, 2, 88) 46464 activation_657[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_bn_6 (BatchNormalization (None, 2, 2, 88) 352 adjust_conv_projection_6[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_bn_1_6 (BatchNormalizati (None, 2, 2, 88) 352 normal_conv_1_6[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_658 (Activation) (None, 2, 2, 88) 0 normal_bn_1_6[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_660 (Activation) (None, 2, 2, 88) 0 adjust_bn_6[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_662 (Activation) (None, 2, 2, 88) 0 adjust_bn_6[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_664 (Activation) (None, 2, 2, 88) 0 adjust_bn_6[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_666 (Activation) (None, 2, 2, 88) 0 normal_bn_1_6[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left1_6 (None, 2, 2, 88) 9944 activation_658[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right1_ (None, 2, 2, 88) 8536 activation_660[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left2_6 (None, 2, 2, 88) 9944 activation_662[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right2_ (None, 2, 2, 88) 8536 activation_664[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left5_6 (None, 2, 2, 88) 8536 activation_666[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 2, 2, 88) 352 separable_conv_1_normal_left1_6[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 2, 2, 88) 352 separable_conv_1_normal_right1_6[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 2, 2, 88) 352 separable_conv_1_normal_left2_6[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 2, 2, 88) 352 separable_conv_1_normal_right2_6[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 2, 2, 88) 352 separable_conv_1_normal_left5_6[0\n", + "__________________________________________________________________________________________________\n", + "activation_659 (Activation) (None, 2, 2, 88) 0 separable_conv_1_bn_normal_left1_\n", + "__________________________________________________________________________________________________\n", + "activation_661 (Activation) (None, 2, 2, 88) 0 separable_conv_1_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "activation_663 (Activation) (None, 2, 2, 88) 0 separable_conv_1_bn_normal_left2_\n", + "__________________________________________________________________________________________________\n", + "activation_665 (Activation) (None, 2, 2, 88) 0 separable_conv_1_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "activation_667 (Activation) (None, 2, 2, 88) 0 separable_conv_1_bn_normal_left5_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left1_6 (None, 2, 2, 88) 9944 activation_659[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right1_ (None, 2, 2, 88) 8536 activation_661[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left2_6 (None, 2, 2, 88) 9944 activation_663[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right2_ (None, 2, 2, 88) 8536 activation_665[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left5_6 (None, 2, 2, 88) 8536 activation_667[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 2, 2, 88) 352 separable_conv_2_normal_left1_6[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 2, 2, 88) 352 separable_conv_2_normal_right1_6[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 2, 2, 88) 352 separable_conv_2_normal_left2_6[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 2, 2, 88) 352 separable_conv_2_normal_right2_6[\n", + "__________________________________________________________________________________________________\n", + "normal_left3_6 (AveragePooling2 (None, 2, 2, 88) 0 normal_bn_1_6[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_left4_6 (AveragePooling2 (None, 2, 2, 88) 0 adjust_bn_6[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_right4_6 (AveragePooling (None, 2, 2, 88) 0 adjust_bn_6[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 2, 2, 88) 352 separable_conv_2_normal_left5_6[0\n", + "__________________________________________________________________________________________________\n", + "normal_add_1_6 (Add) (None, 2, 2, 88) 0 separable_conv_2_bn_normal_left1_\n", + " separable_conv_2_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "normal_add_2_6 (Add) (None, 2, 2, 88) 0 separable_conv_2_bn_normal_left2_\n", + " separable_conv_2_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "normal_add_3_6 (Add) (None, 2, 2, 88) 0 normal_left3_6[0][0] \n", + " adjust_bn_6[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_4_6 (Add) (None, 2, 2, 88) 0 normal_left4_6[0][0] \n", + " normal_right4_6[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_5_6 (Add) (None, 2, 2, 88) 0 separable_conv_2_bn_normal_left5_\n", + " normal_bn_1_6[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_concat_6 (Concatenate) (None, 2, 2, 528) 0 adjust_bn_6[0][0] \n", + " normal_add_1_6[0][0] \n", + " normal_add_2_6[0][0] \n", + " normal_add_3_6[0][0] \n", + " normal_add_4_6[0][0] \n", + " normal_add_5_6[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_668 (Activation) (None, 2, 2, 528) 0 normal_concat_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_669 (Activation) (None, 2, 2, 528) 0 normal_concat_6[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_conv_projection_7 (Conv2 (None, 2, 2, 88) 46464 activation_668[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_conv_1_7 (Conv2D) (None, 2, 2, 88) 46464 activation_669[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_bn_7 (BatchNormalization (None, 2, 2, 88) 352 adjust_conv_projection_7[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_bn_1_7 (BatchNormalizati (None, 2, 2, 88) 352 normal_conv_1_7[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_670 (Activation) (None, 2, 2, 88) 0 normal_bn_1_7[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_672 (Activation) (None, 2, 2, 88) 0 adjust_bn_7[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_674 (Activation) (None, 2, 2, 88) 0 adjust_bn_7[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_676 (Activation) (None, 2, 2, 88) 0 adjust_bn_7[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_678 (Activation) (None, 2, 2, 88) 0 normal_bn_1_7[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left1_7 (None, 2, 2, 88) 9944 activation_670[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right1_ (None, 2, 2, 88) 8536 activation_672[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left2_7 (None, 2, 2, 88) 9944 activation_674[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right2_ (None, 2, 2, 88) 8536 activation_676[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left5_7 (None, 2, 2, 88) 8536 activation_678[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 2, 2, 88) 352 separable_conv_1_normal_left1_7[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 2, 2, 88) 352 separable_conv_1_normal_right1_7[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 2, 2, 88) 352 separable_conv_1_normal_left2_7[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 2, 2, 88) 352 separable_conv_1_normal_right2_7[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 2, 2, 88) 352 separable_conv_1_normal_left5_7[0\n", + "__________________________________________________________________________________________________\n", + "activation_671 (Activation) (None, 2, 2, 88) 0 separable_conv_1_bn_normal_left1_\n", + "__________________________________________________________________________________________________\n", + "activation_673 (Activation) (None, 2, 2, 88) 0 separable_conv_1_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "activation_675 (Activation) (None, 2, 2, 88) 0 separable_conv_1_bn_normal_left2_\n", + "__________________________________________________________________________________________________\n", + "activation_677 (Activation) (None, 2, 2, 88) 0 separable_conv_1_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "activation_679 (Activation) (None, 2, 2, 88) 0 separable_conv_1_bn_normal_left5_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left1_7 (None, 2, 2, 88) 9944 activation_671[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right1_ (None, 2, 2, 88) 8536 activation_673[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left2_7 (None, 2, 2, 88) 9944 activation_675[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right2_ (None, 2, 2, 88) 8536 activation_677[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left5_7 (None, 2, 2, 88) 8536 activation_679[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 2, 2, 88) 352 separable_conv_2_normal_left1_7[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 2, 2, 88) 352 separable_conv_2_normal_right1_7[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 2, 2, 88) 352 separable_conv_2_normal_left2_7[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 2, 2, 88) 352 separable_conv_2_normal_right2_7[\n", + "__________________________________________________________________________________________________\n", + "normal_left3_7 (AveragePooling2 (None, 2, 2, 88) 0 normal_bn_1_7[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_left4_7 (AveragePooling2 (None, 2, 2, 88) 0 adjust_bn_7[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_right4_7 (AveragePooling (None, 2, 2, 88) 0 adjust_bn_7[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 2, 2, 88) 352 separable_conv_2_normal_left5_7[0\n", + "__________________________________________________________________________________________________\n", + "normal_add_1_7 (Add) (None, 2, 2, 88) 0 separable_conv_2_bn_normal_left1_\n", + " separable_conv_2_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "normal_add_2_7 (Add) (None, 2, 2, 88) 0 separable_conv_2_bn_normal_left2_\n", + " separable_conv_2_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "normal_add_3_7 (Add) (None, 2, 2, 88) 0 normal_left3_7[0][0] \n", + " adjust_bn_7[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_4_7 (Add) (None, 2, 2, 88) 0 normal_left4_7[0][0] \n", + " normal_right4_7[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_5_7 (Add) (None, 2, 2, 88) 0 separable_conv_2_bn_normal_left5_\n", + " normal_bn_1_7[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_concat_7 (Concatenate) (None, 2, 2, 528) 0 adjust_bn_7[0][0] \n", + " normal_add_1_7[0][0] \n", + " normal_add_2_7[0][0] \n", + " normal_add_3_7[0][0] \n", + " normal_add_4_7[0][0] \n", + " normal_add_5_7[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_680 (Activation) (None, 2, 2, 528) 0 normal_concat_6[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_681 (Activation) (None, 2, 2, 528) 0 normal_concat_7[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_conv_projection_8 (Conv2 (None, 2, 2, 88) 46464 activation_680[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_conv_1_8 (Conv2D) (None, 2, 2, 88) 46464 activation_681[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_bn_8 (BatchNormalization (None, 2, 2, 88) 352 adjust_conv_projection_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_bn_1_8 (BatchNormalizati (None, 2, 2, 88) 352 normal_conv_1_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_682 (Activation) (None, 2, 2, 88) 0 normal_bn_1_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_684 (Activation) (None, 2, 2, 88) 0 adjust_bn_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_686 (Activation) (None, 2, 2, 88) 0 adjust_bn_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_688 (Activation) (None, 2, 2, 88) 0 adjust_bn_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_690 (Activation) (None, 2, 2, 88) 0 normal_bn_1_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left1_8 (None, 2, 2, 88) 9944 activation_682[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right1_ (None, 2, 2, 88) 8536 activation_684[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left2_8 (None, 2, 2, 88) 9944 activation_686[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right2_ (None, 2, 2, 88) 8536 activation_688[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left5_8 (None, 2, 2, 88) 8536 activation_690[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 2, 2, 88) 352 separable_conv_1_normal_left1_8[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 2, 2, 88) 352 separable_conv_1_normal_right1_8[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 2, 2, 88) 352 separable_conv_1_normal_left2_8[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 2, 2, 88) 352 separable_conv_1_normal_right2_8[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 2, 2, 88) 352 separable_conv_1_normal_left5_8[0\n", + "__________________________________________________________________________________________________\n", + "activation_683 (Activation) (None, 2, 2, 88) 0 separable_conv_1_bn_normal_left1_\n", + "__________________________________________________________________________________________________\n", + "activation_685 (Activation) (None, 2, 2, 88) 0 separable_conv_1_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "activation_687 (Activation) (None, 2, 2, 88) 0 separable_conv_1_bn_normal_left2_\n", + "__________________________________________________________________________________________________\n", + "activation_689 (Activation) (None, 2, 2, 88) 0 separable_conv_1_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "activation_691 (Activation) (None, 2, 2, 88) 0 separable_conv_1_bn_normal_left5_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left1_8 (None, 2, 2, 88) 9944 activation_683[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right1_ (None, 2, 2, 88) 8536 activation_685[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left2_8 (None, 2, 2, 88) 9944 activation_687[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right2_ (None, 2, 2, 88) 8536 activation_689[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left5_8 (None, 2, 2, 88) 8536 activation_691[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 2, 2, 88) 352 separable_conv_2_normal_left1_8[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 2, 2, 88) 352 separable_conv_2_normal_right1_8[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 2, 2, 88) 352 separable_conv_2_normal_left2_8[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 2, 2, 88) 352 separable_conv_2_normal_right2_8[\n", + "__________________________________________________________________________________________________\n", + "normal_left3_8 (AveragePooling2 (None, 2, 2, 88) 0 normal_bn_1_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_left4_8 (AveragePooling2 (None, 2, 2, 88) 0 adjust_bn_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_right4_8 (AveragePooling (None, 2, 2, 88) 0 adjust_bn_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 2, 2, 88) 352 separable_conv_2_normal_left5_8[0\n", + "__________________________________________________________________________________________________\n", + "normal_add_1_8 (Add) (None, 2, 2, 88) 0 separable_conv_2_bn_normal_left1_\n", + " separable_conv_2_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "normal_add_2_8 (Add) (None, 2, 2, 88) 0 separable_conv_2_bn_normal_left2_\n", + " separable_conv_2_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "normal_add_3_8 (Add) (None, 2, 2, 88) 0 normal_left3_8[0][0] \n", + " adjust_bn_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_4_8 (Add) (None, 2, 2, 88) 0 normal_left4_8[0][0] \n", + " normal_right4_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_5_8 (Add) (None, 2, 2, 88) 0 separable_conv_2_bn_normal_left5_\n", + " normal_bn_1_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_concat_8 (Concatenate) (None, 2, 2, 528) 0 adjust_bn_8[0][0] \n", + " normal_add_1_8[0][0] \n", + " normal_add_2_8[0][0] \n", + " normal_add_3_8[0][0] \n", + " normal_add_4_8[0][0] \n", + " normal_add_5_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_693 (Activation) (None, 2, 2, 528) 0 normal_concat_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_692 (Activation) (None, 2, 2, 528) 0 normal_concat_7[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_conv_1_reduce_8 (Conv (None, 2, 2, 176) 92928 activation_693[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_conv_projection_reduce_8 (None, 2, 2, 176) 92928 activation_692[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_bn_1_reduce_8 (BatchN (None, 2, 2, 176) 704 reduction_conv_1_reduce_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_bn_reduce_8 (BatchNormal (None, 2, 2, 176) 704 adjust_conv_projection_reduce_8[0\n", + "__________________________________________________________________________________________________\n", + "activation_694 (Activation) (None, 2, 2, 176) 0 reduction_bn_1_reduce_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_696 (Activation) (None, 2, 2, 176) 0 adjust_bn_reduce_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_pad_reduction_ (None, 5, 5, 176) 0 activation_694[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_pad_reduction_ (None, 7, 7, 176) 0 activation_696[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_left (None, 1, 1, 176) 35376 separable_conv_1_pad_reduction_le\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_righ (None, 1, 1, 176) 39600 separable_conv_1_pad_reduction_ri\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_l (None, 1, 1, 176) 704 separable_conv_1_reduction_left1_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_r (None, 1, 1, 176) 704 separable_conv_1_reduction_right1\n", + "__________________________________________________________________________________________________\n", + "activation_695 (Activation) (None, 1, 1, 176) 0 separable_conv_1_bn_reduction_lef\n", + "__________________________________________________________________________________________________\n", + "activation_697 (Activation) (None, 1, 1, 176) 0 separable_conv_1_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_left (None, 1, 1, 176) 35376 activation_695[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_righ (None, 1, 1, 176) 39600 activation_697[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_698 (Activation) (None, 2, 2, 176) 0 adjust_bn_reduce_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_l (None, 1, 1, 176) 704 separable_conv_2_reduction_left1_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_r (None, 1, 1, 176) 704 separable_conv_2_reduction_right1\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_pad_reduction_ (None, 7, 7, 176) 0 activation_698[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_700 (Activation) (None, 2, 2, 176) 0 adjust_bn_reduce_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_add_1_reduce_8 (Add) (None, 1, 1, 176) 0 separable_conv_2_bn_reduction_lef\n", + " separable_conv_2_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_righ (None, 1, 1, 176) 39600 separable_conv_1_pad_reduction_ri\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_pad_reduction_ (None, 5, 5, 176) 0 activation_700[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_702 (Activation) (None, 1, 1, 176) 0 reduction_add_1_reduce_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_r (None, 1, 1, 176) 704 separable_conv_1_reduction_right2\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_righ (None, 1, 1, 176) 35376 separable_conv_1_pad_reduction_ri\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_left (None, 1, 1, 176) 32560 activation_702[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_699 (Activation) (None, 1, 1, 176) 0 separable_conv_1_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_r (None, 1, 1, 176) 704 separable_conv_1_reduction_right3\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_l (None, 1, 1, 176) 704 separable_conv_1_reduction_left4_\n", + "__________________________________________________________________________________________________\n", + "reduction_pad_1_reduce_8 (ZeroP (None, 3, 3, 176) 0 reduction_bn_1_reduce_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_righ (None, 1, 1, 176) 39600 activation_699[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_701 (Activation) (None, 1, 1, 176) 0 separable_conv_1_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "activation_703 (Activation) (None, 1, 1, 176) 0 separable_conv_1_bn_reduction_lef\n", + "__________________________________________________________________________________________________\n", + "reduction_left2_reduce_8 (MaxPo (None, 1, 1, 176) 0 reduction_pad_1_reduce_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_r (None, 1, 1, 176) 704 separable_conv_2_reduction_right2\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_righ (None, 1, 1, 176) 35376 activation_701[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_left (None, 1, 1, 176) 32560 activation_703[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_relu_1_9 (Activation) (None, 2, 2, 528) 0 normal_concat_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_add_2_reduce_8 (Add) (None, 1, 1, 176) 0 reduction_left2_reduce_8[0][0] \n", + " separable_conv_2_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "reduction_left3_reduce_8 (Avera (None, 1, 1, 176) 0 reduction_pad_1_reduce_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_r (None, 1, 1, 176) 704 separable_conv_2_reduction_right3\n", + "__________________________________________________________________________________________________\n", + "reduction_left4_reduce_8 (Avera (None, 1, 1, 176) 0 reduction_add_1_reduce_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_l (None, 1, 1, 176) 704 separable_conv_2_reduction_left4_\n", + "__________________________________________________________________________________________________\n", + "reduction_right5_reduce_8 (MaxP (None, 1, 1, 176) 0 reduction_pad_1_reduce_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "zero_padding2d_15 (ZeroPadding2 (None, 3, 3, 528) 0 adjust_relu_1_9[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_add3_reduce_8 (Add) (None, 1, 1, 176) 0 reduction_left3_reduce_8[0][0] \n", + " separable_conv_2_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "add_15 (Add) (None, 1, 1, 176) 0 reduction_add_2_reduce_8[0][0] \n", + " reduction_left4_reduce_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_add4_reduce_8 (Add) (None, 1, 1, 176) 0 separable_conv_2_bn_reduction_lef\n", + " reduction_right5_reduce_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "cropping2d_15 (Cropping2D) (None, 2, 2, 528) 0 zero_padding2d_15[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_concat_reduce_8 (Conc (None, 1, 1, 704) 0 reduction_add_2_reduce_8[0][0] \n", + " reduction_add3_reduce_8[0][0] \n", + " add_15[0][0] \n", + " reduction_add4_reduce_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_avg_pool_1_9 (AveragePoo (None, 1, 1, 528) 0 adjust_relu_1_9[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_avg_pool_2_9 (AveragePoo (None, 1, 1, 528) 0 cropping2d_15[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_conv_1_9 (Conv2D) (None, 1, 1, 88) 46464 adjust_avg_pool_1_9[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_conv_2_9 (Conv2D) (None, 1, 1, 88) 46464 adjust_avg_pool_2_9[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_704 (Activation) (None, 1, 1, 704) 0 reduction_concat_reduce_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "concatenate_15 (Concatenate) (None, 1, 1, 176) 0 adjust_conv_1_9[0][0] \n", + " adjust_conv_2_9[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_conv_1_9 (Conv2D) (None, 1, 1, 176) 123904 activation_704[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_bn_9 (BatchNormalization (None, 1, 1, 176) 704 concatenate_15[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_bn_1_9 (BatchNormalizati (None, 1, 1, 176) 704 normal_conv_1_9[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_705 (Activation) (None, 1, 1, 176) 0 normal_bn_1_9[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_707 (Activation) (None, 1, 1, 176) 0 adjust_bn_9[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_709 (Activation) (None, 1, 1, 176) 0 adjust_bn_9[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_711 (Activation) (None, 1, 1, 176) 0 adjust_bn_9[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_713 (Activation) (None, 1, 1, 176) 0 normal_bn_1_9[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left1_9 (None, 1, 1, 176) 35376 activation_705[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right1_ (None, 1, 1, 176) 32560 activation_707[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left2_9 (None, 1, 1, 176) 35376 activation_709[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right2_ (None, 1, 1, 176) 32560 activation_711[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left5_9 (None, 1, 1, 176) 32560 activation_713[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 1, 1, 176) 704 separable_conv_1_normal_left1_9[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 1, 1, 176) 704 separable_conv_1_normal_right1_9[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 1, 1, 176) 704 separable_conv_1_normal_left2_9[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 1, 1, 176) 704 separable_conv_1_normal_right2_9[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 1, 1, 176) 704 separable_conv_1_normal_left5_9[0\n", + "__________________________________________________________________________________________________\n", + "activation_706 (Activation) (None, 1, 1, 176) 0 separable_conv_1_bn_normal_left1_\n", + "__________________________________________________________________________________________________\n", + "activation_708 (Activation) (None, 1, 1, 176) 0 separable_conv_1_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "activation_710 (Activation) (None, 1, 1, 176) 0 separable_conv_1_bn_normal_left2_\n", + "__________________________________________________________________________________________________\n", + "activation_712 (Activation) (None, 1, 1, 176) 0 separable_conv_1_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "activation_714 (Activation) (None, 1, 1, 176) 0 separable_conv_1_bn_normal_left5_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left1_9 (None, 1, 1, 176) 35376 activation_706[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right1_ (None, 1, 1, 176) 32560 activation_708[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left2_9 (None, 1, 1, 176) 35376 activation_710[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right2_ (None, 1, 1, 176) 32560 activation_712[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left5_9 (None, 1, 1, 176) 32560 activation_714[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 1, 1, 176) 704 separable_conv_2_normal_left1_9[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 1, 1, 176) 704 separable_conv_2_normal_right1_9[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 1, 1, 176) 704 separable_conv_2_normal_left2_9[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 1, 1, 176) 704 separable_conv_2_normal_right2_9[\n", + "__________________________________________________________________________________________________\n", + "normal_left3_9 (AveragePooling2 (None, 1, 1, 176) 0 normal_bn_1_9[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_left4_9 (AveragePooling2 (None, 1, 1, 176) 0 adjust_bn_9[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_right4_9 (AveragePooling (None, 1, 1, 176) 0 adjust_bn_9[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 1, 1, 176) 704 separable_conv_2_normal_left5_9[0\n", + "__________________________________________________________________________________________________\n", + "normal_add_1_9 (Add) (None, 1, 1, 176) 0 separable_conv_2_bn_normal_left1_\n", + " separable_conv_2_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "normal_add_2_9 (Add) (None, 1, 1, 176) 0 separable_conv_2_bn_normal_left2_\n", + " separable_conv_2_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "normal_add_3_9 (Add) (None, 1, 1, 176) 0 normal_left3_9[0][0] \n", + " adjust_bn_9[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_4_9 (Add) (None, 1, 1, 176) 0 normal_left4_9[0][0] \n", + " normal_right4_9[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_5_9 (Add) (None, 1, 1, 176) 0 separable_conv_2_bn_normal_left5_\n", + " normal_bn_1_9[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_concat_9 (Concatenate) (None, 1, 1, 1056) 0 adjust_bn_9[0][0] \n", + " normal_add_1_9[0][0] \n", + " normal_add_2_9[0][0] \n", + " normal_add_3_9[0][0] \n", + " normal_add_4_9[0][0] \n", + " normal_add_5_9[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_715 (Activation) (None, 1, 1, 704) 0 reduction_concat_reduce_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_716 (Activation) (None, 1, 1, 1056) 0 normal_concat_9[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_conv_projection_10 (Conv (None, 1, 1, 176) 123904 activation_715[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_conv_1_10 (Conv2D) (None, 1, 1, 176) 185856 activation_716[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_bn_10 (BatchNormalizatio (None, 1, 1, 176) 704 adjust_conv_projection_10[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_bn_1_10 (BatchNormalizat (None, 1, 1, 176) 704 normal_conv_1_10[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_717 (Activation) (None, 1, 1, 176) 0 normal_bn_1_10[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_719 (Activation) (None, 1, 1, 176) 0 adjust_bn_10[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_721 (Activation) (None, 1, 1, 176) 0 adjust_bn_10[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_723 (Activation) (None, 1, 1, 176) 0 adjust_bn_10[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_725 (Activation) (None, 1, 1, 176) 0 normal_bn_1_10[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left1_1 (None, 1, 1, 176) 35376 activation_717[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right1_ (None, 1, 1, 176) 32560 activation_719[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left2_1 (None, 1, 1, 176) 35376 activation_721[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right2_ (None, 1, 1, 176) 32560 activation_723[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left5_1 (None, 1, 1, 176) 32560 activation_725[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 1, 1, 176) 704 separable_conv_1_normal_left1_10[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 1, 1, 176) 704 separable_conv_1_normal_right1_10\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 1, 1, 176) 704 separable_conv_1_normal_left2_10[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 1, 1, 176) 704 separable_conv_1_normal_right2_10\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 1, 1, 176) 704 separable_conv_1_normal_left5_10[\n", + "__________________________________________________________________________________________________\n", + "activation_718 (Activation) (None, 1, 1, 176) 0 separable_conv_1_bn_normal_left1_\n", + "__________________________________________________________________________________________________\n", + "activation_720 (Activation) (None, 1, 1, 176) 0 separable_conv_1_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "activation_722 (Activation) (None, 1, 1, 176) 0 separable_conv_1_bn_normal_left2_\n", + "__________________________________________________________________________________________________\n", + "activation_724 (Activation) (None, 1, 1, 176) 0 separable_conv_1_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "activation_726 (Activation) (None, 1, 1, 176) 0 separable_conv_1_bn_normal_left5_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left1_1 (None, 1, 1, 176) 35376 activation_718[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right1_ (None, 1, 1, 176) 32560 activation_720[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left2_1 (None, 1, 1, 176) 35376 activation_722[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right2_ (None, 1, 1, 176) 32560 activation_724[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left5_1 (None, 1, 1, 176) 32560 activation_726[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 1, 1, 176) 704 separable_conv_2_normal_left1_10[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 1, 1, 176) 704 separable_conv_2_normal_right1_10\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 1, 1, 176) 704 separable_conv_2_normal_left2_10[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 1, 1, 176) 704 separable_conv_2_normal_right2_10\n", + "__________________________________________________________________________________________________\n", + "normal_left3_10 (AveragePooling (None, 1, 1, 176) 0 normal_bn_1_10[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_left4_10 (AveragePooling (None, 1, 1, 176) 0 adjust_bn_10[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_right4_10 (AveragePoolin (None, 1, 1, 176) 0 adjust_bn_10[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 1, 1, 176) 704 separable_conv_2_normal_left5_10[\n", + "__________________________________________________________________________________________________\n", + "normal_add_1_10 (Add) (None, 1, 1, 176) 0 separable_conv_2_bn_normal_left1_\n", + " separable_conv_2_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "normal_add_2_10 (Add) (None, 1, 1, 176) 0 separable_conv_2_bn_normal_left2_\n", + " separable_conv_2_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "normal_add_3_10 (Add) (None, 1, 1, 176) 0 normal_left3_10[0][0] \n", + " adjust_bn_10[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_4_10 (Add) (None, 1, 1, 176) 0 normal_left4_10[0][0] \n", + " normal_right4_10[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_5_10 (Add) (None, 1, 1, 176) 0 separable_conv_2_bn_normal_left5_\n", + " normal_bn_1_10[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_concat_10 (Concatenate) (None, 1, 1, 1056) 0 adjust_bn_10[0][0] \n", + " normal_add_1_10[0][0] \n", + " normal_add_2_10[0][0] \n", + " normal_add_3_10[0][0] \n", + " normal_add_4_10[0][0] \n", + " normal_add_5_10[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_727 (Activation) (None, 1, 1, 1056) 0 normal_concat_9[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_728 (Activation) (None, 1, 1, 1056) 0 normal_concat_10[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_conv_projection_11 (Conv (None, 1, 1, 176) 185856 activation_727[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_conv_1_11 (Conv2D) (None, 1, 1, 176) 185856 activation_728[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_bn_11 (BatchNormalizatio (None, 1, 1, 176) 704 adjust_conv_projection_11[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_bn_1_11 (BatchNormalizat (None, 1, 1, 176) 704 normal_conv_1_11[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_729 (Activation) (None, 1, 1, 176) 0 normal_bn_1_11[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_731 (Activation) (None, 1, 1, 176) 0 adjust_bn_11[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_733 (Activation) (None, 1, 1, 176) 0 adjust_bn_11[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_735 (Activation) (None, 1, 1, 176) 0 adjust_bn_11[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_737 (Activation) (None, 1, 1, 176) 0 normal_bn_1_11[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left1_1 (None, 1, 1, 176) 35376 activation_729[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right1_ (None, 1, 1, 176) 32560 activation_731[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left2_1 (None, 1, 1, 176) 35376 activation_733[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right2_ (None, 1, 1, 176) 32560 activation_735[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left5_1 (None, 1, 1, 176) 32560 activation_737[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 1, 1, 176) 704 separable_conv_1_normal_left1_11[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 1, 1, 176) 704 separable_conv_1_normal_right1_11\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 1, 1, 176) 704 separable_conv_1_normal_left2_11[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 1, 1, 176) 704 separable_conv_1_normal_right2_11\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 1, 1, 176) 704 separable_conv_1_normal_left5_11[\n", + "__________________________________________________________________________________________________\n", + "activation_730 (Activation) (None, 1, 1, 176) 0 separable_conv_1_bn_normal_left1_\n", + "__________________________________________________________________________________________________\n", + "activation_732 (Activation) (None, 1, 1, 176) 0 separable_conv_1_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "activation_734 (Activation) (None, 1, 1, 176) 0 separable_conv_1_bn_normal_left2_\n", + "__________________________________________________________________________________________________\n", + "activation_736 (Activation) (None, 1, 1, 176) 0 separable_conv_1_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "activation_738 (Activation) (None, 1, 1, 176) 0 separable_conv_1_bn_normal_left5_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left1_1 (None, 1, 1, 176) 35376 activation_730[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right1_ (None, 1, 1, 176) 32560 activation_732[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left2_1 (None, 1, 1, 176) 35376 activation_734[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right2_ (None, 1, 1, 176) 32560 activation_736[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left5_1 (None, 1, 1, 176) 32560 activation_738[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 1, 1, 176) 704 separable_conv_2_normal_left1_11[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 1, 1, 176) 704 separable_conv_2_normal_right1_11\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 1, 1, 176) 704 separable_conv_2_normal_left2_11[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 1, 1, 176) 704 separable_conv_2_normal_right2_11\n", + "__________________________________________________________________________________________________\n", + "normal_left3_11 (AveragePooling (None, 1, 1, 176) 0 normal_bn_1_11[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_left4_11 (AveragePooling (None, 1, 1, 176) 0 adjust_bn_11[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_right4_11 (AveragePoolin (None, 1, 1, 176) 0 adjust_bn_11[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 1, 1, 176) 704 separable_conv_2_normal_left5_11[\n", + "__________________________________________________________________________________________________\n", + "normal_add_1_11 (Add) (None, 1, 1, 176) 0 separable_conv_2_bn_normal_left1_\n", + " separable_conv_2_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "normal_add_2_11 (Add) (None, 1, 1, 176) 0 separable_conv_2_bn_normal_left2_\n", + " separable_conv_2_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "normal_add_3_11 (Add) (None, 1, 1, 176) 0 normal_left3_11[0][0] \n", + " adjust_bn_11[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_4_11 (Add) (None, 1, 1, 176) 0 normal_left4_11[0][0] \n", + " normal_right4_11[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_5_11 (Add) (None, 1, 1, 176) 0 separable_conv_2_bn_normal_left5_\n", + " normal_bn_1_11[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_concat_11 (Concatenate) (None, 1, 1, 1056) 0 adjust_bn_11[0][0] \n", + " normal_add_1_11[0][0] \n", + " normal_add_2_11[0][0] \n", + " normal_add_3_11[0][0] \n", + " normal_add_4_11[0][0] \n", + " normal_add_5_11[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_739 (Activation) (None, 1, 1, 1056) 0 normal_concat_10[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_740 (Activation) (None, 1, 1, 1056) 0 normal_concat_11[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_conv_projection_12 (Conv (None, 1, 1, 176) 185856 activation_739[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_conv_1_12 (Conv2D) (None, 1, 1, 176) 185856 activation_740[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_bn_12 (BatchNormalizatio (None, 1, 1, 176) 704 adjust_conv_projection_12[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_bn_1_12 (BatchNormalizat (None, 1, 1, 176) 704 normal_conv_1_12[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_741 (Activation) (None, 1, 1, 176) 0 normal_bn_1_12[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_743 (Activation) (None, 1, 1, 176) 0 adjust_bn_12[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_745 (Activation) (None, 1, 1, 176) 0 adjust_bn_12[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_747 (Activation) (None, 1, 1, 176) 0 adjust_bn_12[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_749 (Activation) (None, 1, 1, 176) 0 normal_bn_1_12[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left1_1 (None, 1, 1, 176) 35376 activation_741[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right1_ (None, 1, 1, 176) 32560 activation_743[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left2_1 (None, 1, 1, 176) 35376 activation_745[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right2_ (None, 1, 1, 176) 32560 activation_747[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left5_1 (None, 1, 1, 176) 32560 activation_749[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 1, 1, 176) 704 separable_conv_1_normal_left1_12[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 1, 1, 176) 704 separable_conv_1_normal_right1_12\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 1, 1, 176) 704 separable_conv_1_normal_left2_12[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 1, 1, 176) 704 separable_conv_1_normal_right2_12\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 1, 1, 176) 704 separable_conv_1_normal_left5_12[\n", + "__________________________________________________________________________________________________\n", + "activation_742 (Activation) (None, 1, 1, 176) 0 separable_conv_1_bn_normal_left1_\n", + "__________________________________________________________________________________________________\n", + "activation_744 (Activation) (None, 1, 1, 176) 0 separable_conv_1_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "activation_746 (Activation) (None, 1, 1, 176) 0 separable_conv_1_bn_normal_left2_\n", + "__________________________________________________________________________________________________\n", + "activation_748 (Activation) (None, 1, 1, 176) 0 separable_conv_1_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "activation_750 (Activation) (None, 1, 1, 176) 0 separable_conv_1_bn_normal_left5_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left1_1 (None, 1, 1, 176) 35376 activation_742[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right1_ (None, 1, 1, 176) 32560 activation_744[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left2_1 (None, 1, 1, 176) 35376 activation_746[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right2_ (None, 1, 1, 176) 32560 activation_748[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left5_1 (None, 1, 1, 176) 32560 activation_750[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 1, 1, 176) 704 separable_conv_2_normal_left1_12[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 1, 1, 176) 704 separable_conv_2_normal_right1_12\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 1, 1, 176) 704 separable_conv_2_normal_left2_12[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 1, 1, 176) 704 separable_conv_2_normal_right2_12\n", + "__________________________________________________________________________________________________\n", + "normal_left3_12 (AveragePooling (None, 1, 1, 176) 0 normal_bn_1_12[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_left4_12 (AveragePooling (None, 1, 1, 176) 0 adjust_bn_12[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_right4_12 (AveragePoolin (None, 1, 1, 176) 0 adjust_bn_12[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 1, 1, 176) 704 separable_conv_2_normal_left5_12[\n", + "__________________________________________________________________________________________________\n", + "normal_add_1_12 (Add) (None, 1, 1, 176) 0 separable_conv_2_bn_normal_left1_\n", + " separable_conv_2_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "normal_add_2_12 (Add) (None, 1, 1, 176) 0 separable_conv_2_bn_normal_left2_\n", + " separable_conv_2_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "normal_add_3_12 (Add) (None, 1, 1, 176) 0 normal_left3_12[0][0] \n", + " adjust_bn_12[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_4_12 (Add) (None, 1, 1, 176) 0 normal_left4_12[0][0] \n", + " normal_right4_12[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_5_12 (Add) (None, 1, 1, 176) 0 separable_conv_2_bn_normal_left5_\n", + " normal_bn_1_12[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_concat_12 (Concatenate) (None, 1, 1, 1056) 0 adjust_bn_12[0][0] \n", + " normal_add_1_12[0][0] \n", + " normal_add_2_12[0][0] \n", + " normal_add_3_12[0][0] \n", + " normal_add_4_12[0][0] \n", + " normal_add_5_12[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_751 (Activation) (None, 1, 1, 1056) 0 normal_concat_12[0][0] \n", + "__________________________________________________________________________________________________\n", + "global_average_pooling2d_5 (Glo (None, 1056) 0 activation_751[0][0] \n", + "__________________________________________________________________________________________________\n", + "dense_1 (Dense) (None, 2) 2114 global_average_pooling2d_5[0][0] \n", + "==================================================================================================\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Total params: 4,271,830\n", + "Trainable params: 4,235,092\n", + "Non-trainable params: 36,738\n", + "__________________________________________________________________________________________________\n", + "None\n", + "Found 1511 images belonging to 2 classes.\n", + "Found 377 images belonging to 2 classes.\n", + "WARNING:tensorflow:sample_weight modes were coerced from\n", + " ...\n", + " to \n", + " ['...']\n", + "WARNING:tensorflow:sample_weight modes were coerced from\n", + " ...\n", + " to \n", + " ['...']\n", + "Train for 151 steps, validate for 37 steps\n", + "Epoch 1/50\n", + "150/151 [============================>.] - ETA: 0s - loss: 0.7985 - accuracy: 0.5308\n", + "Epoch 00001: val_loss improved from inf to 134.95958, saving model to /home/dlsaavedra/Desktop/Rentadrone.cl-ai-test&SomeCode/model-definition/GPS_Panel/Classifier/model_2/top_model_weights.h5\n", + "151/151 [==============================] - 47s 311ms/step - loss: 0.7990 - accuracy: 0.5306 - val_loss: 134.9596 - val_accuracy: 1.0000\n", + "Epoch 2/50\n", + "150/151 [============================>.] - ETA: 0s - loss: 0.7713 - accuracy: 0.6005\n", + "Epoch 00002: val_loss improved from 134.95958 to 46.21521, saving model to /home/dlsaavedra/Desktop/Rentadrone.cl-ai-test&SomeCode/model-definition/GPS_Panel/Classifier/model_2/top_model_weights.h5\n", + "151/151 [==============================] - 15s 97ms/step - loss: 0.7709 - accuracy: 0.6015 - val_loss: 46.2152 - val_accuracy: 1.0000\n", + "Epoch 3/50\n", + "150/151 [============================>.] - ETA: 0s - loss: 0.7681 - accuracy: 0.5229\n", + "Epoch 00003: val_loss did not improve from 46.21521\n", + "151/151 [==============================] - 14s 90ms/step - loss: 0.7687 - accuracy: 0.5244 - val_loss: 192.0357 - val_accuracy: 1.0000\n", + "Epoch 4/50\n", + "150/151 [============================>.] - ETA: 0s - loss: 0.7897 - accuracy: 0.5625\n", + "Epoch 00004: val_loss did not improve from 46.21521\n", + "151/151 [==============================] - 14s 92ms/step - loss: 0.7868 - accuracy: 0.5654 - val_loss: 218.5438 - val_accuracy: 1.0000\n", + "Epoch 5/50\n", + "150/151 [============================>.] - ETA: 0s - loss: 0.7818 - accuracy: 0.5692\n", + "Epoch 00005: val_loss did not improve from 46.21521\n", + "151/151 [==============================] - 14s 95ms/step - loss: 0.7824 - accuracy: 0.5679 - val_loss: 174.5563 - val_accuracy: 1.0000\n", + "Epoch 6/50\n", + "150/151 [============================>.] - ETA: 0s - loss: 0.7630 - accuracy: 0.5104\n", + "Epoch 00006: val_loss improved from 46.21521 to 5.20847, saving model to /home/dlsaavedra/Desktop/Rentadrone.cl-ai-test&SomeCode/model-definition/GPS_Panel/Classifier/model_2/top_model_weights.h5\n", + "151/151 [==============================] - 17s 110ms/step - loss: 0.7614 - accuracy: 0.5137 - val_loss: 5.2085 - val_accuracy: 0.3142\n", + "Epoch 7/50\n", + "150/151 [============================>.] - ETA: 0s - loss: 0.7770 - accuracy: 0.5713\n", + "Epoch 00007: val_loss did not improve from 5.20847\n", + "151/151 [==============================] - 14s 91ms/step - loss: 0.7799 - accuracy: 0.5708 - val_loss: 10.6865 - val_accuracy: 0.0000e+00\n", + "Epoch 8/50\n", + "150/151 [============================>.] - ETA: 0s - loss: 0.7719 - accuracy: 0.4854\n", + "Epoch 00008: val_loss did not improve from 5.20847\n", + "151/151 [==============================] - 14s 90ms/step - loss: 0.7703 - accuracy: 0.4847 - val_loss: 91.3767 - val_accuracy: 1.0000\n", + "Epoch 9/50\n", + "150/151 [============================>.] - ETA: 0s - loss: 0.7715 - accuracy: 0.5150\n", + "Epoch 00009: val_loss did not improve from 5.20847\n", + "151/151 [==============================] - 15s 97ms/step - loss: 0.7700 - accuracy: 0.5174 - val_loss: 271.5808 - val_accuracy: 0.0203\n", + "Epoch 10/50\n", + "150/151 [============================>.] - ETA: 0s - loss: 0.7923 - accuracy: 0.5100\n", + "Epoch 00010: val_loss did not improve from 5.20847\n", + "151/151 [==============================] - 14s 93ms/step - loss: 0.7941 - accuracy: 0.5124 - val_loss: 39.9182 - val_accuracy: 0.9764\n", + "Epoch 11/50\n", + "150/151 [============================>.] - ETA: 0s - loss: 0.7807 - accuracy: 0.4412\n", + "Epoch 00011: val_loss did not improve from 5.20847\n", + "151/151 [==============================] - 14s 92ms/step - loss: 0.7778 - accuracy: 0.4441 - val_loss: 44.1118 - val_accuracy: 0.1926\n", + "Epoch 12/50\n", + "150/151 [============================>.] - ETA: 0s - loss: 0.7837 - accuracy: 0.4854\n", + "Epoch 00012: val_loss did not improve from 5.20847\n", + "151/151 [==============================] - 14s 90ms/step - loss: 0.7831 - accuracy: 0.4863 - val_loss: 92.7960 - val_accuracy: 0.2297\n", + "Epoch 13/50\n", + "150/151 [============================>.] - ETA: 0s - loss: 0.7960 - accuracy: 0.4812\n", + "Epoch 00013: val_loss did not improve from 5.20847\n", + "151/151 [==============================] - 16s 105ms/step - loss: 0.7930 - accuracy: 0.4847 - val_loss: 41.9970 - val_accuracy: 0.5236\n", + "Epoch 14/50\n", + "150/151 [============================>.] - ETA: 0s - loss: 0.7887 - accuracy: 0.4529\n", + "Epoch 00014: val_loss did not improve from 5.20847\n", + "151/151 [==============================] - 14s 94ms/step - loss: 0.7899 - accuracy: 0.4524 - val_loss: 50.4450 - val_accuracy: 0.2297\n", + "Epoch 15/50\n", + "150/151 [============================>.] - ETA: 0s - loss: 0.7762 - accuracy: 0.4479\n", + "Epoch 00015: val_loss improved from 5.20847 to 4.88004, saving model to /home/dlsaavedra/Desktop/Rentadrone.cl-ai-test&SomeCode/model-definition/GPS_Panel/Classifier/model_2/top_model_weights.h5\n", + "151/151 [==============================] - 17s 111ms/step - loss: 0.7757 - accuracy: 0.4482 - val_loss: 4.8800 - val_accuracy: 0.4662\n", + "Epoch 16/50\n", + "150/151 [============================>.] - ETA: 0s - loss: 0.7953 - accuracy: 0.4671\n", + "Epoch 00016: val_loss did not improve from 4.88004\n", + "151/151 [==============================] - 14s 93ms/step - loss: 0.7924 - accuracy: 0.4664 - val_loss: 6.8607 - val_accuracy: 0.9865\n", + "Epoch 17/50\n", + "150/151 [============================>.] - ETA: 0s - loss: 0.7870 - accuracy: 0.4787\n", + "Epoch 00017: val_loss improved from 4.88004 to 2.85498, saving model to /home/dlsaavedra/Desktop/Rentadrone.cl-ai-test&SomeCode/model-definition/GPS_Panel/Classifier/model_2/top_model_weights.h5\n", + "151/151 [==============================] - 16s 105ms/step - loss: 0.7864 - accuracy: 0.4780 - val_loss: 2.8550 - val_accuracy: 0.9797\n", + "Epoch 18/50\n", + "150/151 [============================>.] - ETA: 0s - loss: 0.7800 - accuracy: 0.4787\n", + "Epoch 00018: val_loss did not improve from 2.85498\n", + "151/151 [==============================] - 16s 103ms/step - loss: 0.7771 - accuracy: 0.4789 - val_loss: 49.0401 - val_accuracy: 1.0000\n", + "Epoch 19/50\n", + "150/151 [============================>.] - ETA: 0s - loss: 0.7766 - accuracy: 0.4829\n", + "Epoch 00019: val_loss did not improve from 2.85498\n", + "151/151 [==============================] - 15s 97ms/step - loss: 0.7738 - accuracy: 0.4805 - val_loss: 28.7508 - val_accuracy: 0.9932\n", + "Epoch 20/50\n", + "150/151 [============================>.] - ETA: 0s - loss: 0.7840 - accuracy: 0.4796\n", + "Epoch 00020: val_loss did not improve from 2.85498\n", + "151/151 [==============================] - 15s 99ms/step - loss: 0.7871 - accuracy: 0.4789 - val_loss: 10.5657 - val_accuracy: 0.2872\n", + "Epoch 21/50\n", + "150/151 [============================>.] - ETA: 0s - loss: 0.8048 - accuracy: 0.4862\n", + "Epoch 00021: val_loss did not improve from 2.85498\n", + "151/151 [==============================] - 14s 92ms/step - loss: 0.8018 - accuracy: 0.4847 - val_loss: 27.3910 - val_accuracy: 0.3277\n", + "Epoch 22/50\n", + "150/151 [============================>.] - ETA: 0s - loss: 0.8087 - accuracy: 0.4804\n", + "Epoch 00022: val_loss did not improve from 2.85498\n", + "151/151 [==============================] - 13s 88ms/step - loss: 0.8092 - accuracy: 0.4814 - val_loss: 13.4743 - val_accuracy: 0.4730\n", + "Epoch 23/50\n", + "150/151 [============================>.] - ETA: 0s - loss: 0.7816 - accuracy: 0.5071\n", + "Epoch 00023: val_loss did not improve from 2.85498\n", + "151/151 [==============================] - 14s 90ms/step - loss: 0.7787 - accuracy: 0.5079 - val_loss: 31.9634 - val_accuracy: 0.3446\n", + "Epoch 24/50\n", + "150/151 [============================>.] - ETA: 0s - loss: 0.8037 - accuracy: 0.5204\n", + "Epoch 00024: val_loss did not improve from 2.85498\n", + "151/151 [==============================] - 15s 97ms/step - loss: 0.8013 - accuracy: 0.5220 - val_loss: 40.0630 - val_accuracy: 0.4155\n", + "Epoch 25/50\n", + "150/151 [============================>.] - ETA: 0s - loss: 0.8478 - accuracy: 0.4946\n", + "Epoch 00025: val_loss did not improve from 2.85498\n", + "151/151 [==============================] - 16s 104ms/step - loss: 0.8468 - accuracy: 0.4979 - val_loss: 28.2616 - val_accuracy: 0.4831\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch 26/50\n", + "150/151 [============================>.] - ETA: 0s - loss: 0.8238 - accuracy: 0.5013\n", + "Epoch 00026: val_loss did not improve from 2.85498\n", + "151/151 [==============================] - 14s 94ms/step - loss: 0.8270 - accuracy: 0.5046 - val_loss: 10.8657 - val_accuracy: 0.4899\n", + "Epoch 27/50\n", + "150/151 [============================>.] - ETA: 0s - loss: 0.8136 - accuracy: 0.5171\n", + "Epoch 00027: val_loss did not improve from 2.85498\n", + "151/151 [==============================] - 15s 100ms/step - loss: 0.8150 - accuracy: 0.5186 - val_loss: 6.5291 - val_accuracy: 0.4662\n" + ] + } + ], "source": [ "\n", "\n", - "base_model = tf.keras.applications.Xception(input_shape=(img_width, img_height, 3), weights='imagenet', include_top=False)\n", + "#base_model = tf.keras.applications.Xception(input_shape=(img_width, img_height, 3), weights='imagenet', include_top=False)\n", + "#base_model = tf.keras.applications.MobileNetV2(input_shape=(img_width, img_height, 3), weights='imagenet', include_top=False)\n", + "base_model = tf.keras.applications.NASNetMobile(input_shape=(img_width, img_height, 3), weights=None, include_top=False) \n", + "\n", "# Top Model Block\n", "x = base_model.output\n", "x = GlobalAveragePooling2D()(x)\n", @@ -88,7 +4293,7 @@ "# first: train only the top layers (which were randomly initialized)\n", "# i.e. freeze all layers of the based model that is already pre-trained.\n", "for layer in base_model.layers:\n", - " layer.trainable = False\n", + " layer.trainable = True\n", "\n", "print(model.summary())\n", "# Read Data and Augment it: Make sure to select augmentations that are appropriate to your images.\n", @@ -100,7 +4305,7 @@ " cval=transformation_ratio,\n", " horizontal_flip=True,\n", " vertical_flip=True,\n", - " validation_split=0.1)\n", + " validation_split=0.2)\n", "\n", "\n", "\n", @@ -116,7 +4321,8 @@ " class_mode='binary',\n", " subset='validation') # set as validation data\n", "\n", - "model.compile(optimizer='nadam',\n", + "opt = tf.keras.optimizers.SGD(learning_rate=learn_rate, momentum = momentum)\n", + "model.compile(optimizer= opt,\n", " loss='categorical_crossentropy', # categorical_crossentropy if multi-class classifier\n", " metrics=['accuracy'])\n", "\n", @@ -124,14 +4330,14 @@ "\n", "top_weights_path = os.path.join(os.path.abspath(model_path), 'top_model_weights.h5')\n", "callbacks_list = [\n", - " ModelCheckpoint(top_weights_path, monitor='val_accuracy', verbose=1, save_best_only=True),\n", - " EarlyStopping(monitor='val_accuracy', patience= patience, verbose=0)\n", + " ModelCheckpoint(top_weights_path, monitor='val_loss', verbose=1, save_best_only=True),\n", + " EarlyStopping(monitor='val_loss', patience= patience, verbose=0)\n", "]\n", "\n", "# Train Simple CNN\n", "hist = model.fit(train_generator,\n", " steps_per_epoch= int(train_generator.samples/batch_size*.8),\n", - " epochs=int (nb_epoch / 5),\n", + " epochs=int (nb_epoch ),\n", " validation_data=validation_generator,\n", " validation_steps = int(validation_generator.samples /batch_size*.8),\n", " validation_freq=1,\n", @@ -143,7 +4349,1740 @@ "cell_type": "code", "execution_count": null, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Starting to Fine Tune Model\n", + "\n", + "Model: \"model_1\"\n", + "__________________________________________________________________________________________________\n", + "Layer (type) Output Shape Param # Connected to \n", + "==================================================================================================\n", + "input_4 (InputLayer) [(None, 32, 32, 3)] 0 \n", + "__________________________________________________________________________________________________\n", + "stem_conv1 (Conv2D) (None, 15, 15, 32) 864 input_4[0][0] \n", + "__________________________________________________________________________________________________\n", + "stem_bn1 (BatchNormalization) (None, 15, 15, 32) 128 stem_conv1[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_564 (Activation) (None, 15, 15, 32) 0 stem_bn1[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_conv_1_stem_1 (Conv2D (None, 15, 15, 11) 352 activation_564[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_bn_1_stem_1 (BatchNor (None, 15, 15, 11) 44 reduction_conv_1_stem_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_565 (Activation) (None, 15, 15, 11) 0 reduction_bn_1_stem_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_567 (Activation) (None, 15, 15, 32) 0 stem_bn1[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_pad_reduction_ (None, 19, 19, 11) 0 activation_565[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_pad_reduction_ (None, 21, 21, 32) 0 activation_567[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_left (None, 8, 8, 11) 396 separable_conv_1_pad_reduction_le\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_righ (None, 8, 8, 11) 1920 separable_conv_1_pad_reduction_ri\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_l (None, 8, 8, 11) 44 separable_conv_1_reduction_left1_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_r (None, 8, 8, 11) 44 separable_conv_1_reduction_right1\n", + "__________________________________________________________________________________________________\n", + "activation_566 (Activation) (None, 8, 8, 11) 0 separable_conv_1_bn_reduction_lef\n", + "__________________________________________________________________________________________________\n", + "activation_568 (Activation) (None, 8, 8, 11) 0 separable_conv_1_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_left (None, 8, 8, 11) 396 activation_566[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_righ (None, 8, 8, 11) 660 activation_568[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_569 (Activation) (None, 15, 15, 32) 0 stem_bn1[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_l (None, 8, 8, 11) 44 separable_conv_2_reduction_left1_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_r (None, 8, 8, 11) 44 separable_conv_2_reduction_right1\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_pad_reduction_ (None, 21, 21, 32) 0 activation_569[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_571 (Activation) (None, 15, 15, 32) 0 stem_bn1[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_add_1_stem_1 (Add) (None, 8, 8, 11) 0 separable_conv_2_bn_reduction_lef\n", + " separable_conv_2_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_righ (None, 8, 8, 11) 1920 separable_conv_1_pad_reduction_ri\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_pad_reduction_ (None, 19, 19, 32) 0 activation_571[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_573 (Activation) (None, 8, 8, 11) 0 reduction_add_1_stem_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_r (None, 8, 8, 11) 44 separable_conv_1_reduction_right2\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_righ (None, 8, 8, 11) 1152 separable_conv_1_pad_reduction_ri\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_left (None, 8, 8, 11) 220 activation_573[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_570 (Activation) (None, 8, 8, 11) 0 separable_conv_1_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_r (None, 8, 8, 11) 44 separable_conv_1_reduction_right3\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_l (None, 8, 8, 11) 44 separable_conv_1_reduction_left4_\n", + "__________________________________________________________________________________________________\n", + "reduction_pad_1_stem_1 (ZeroPad (None, 17, 17, 11) 0 reduction_bn_1_stem_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_righ (None, 8, 8, 11) 660 activation_570[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_572 (Activation) (None, 8, 8, 11) 0 separable_conv_1_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "activation_574 (Activation) (None, 8, 8, 11) 0 separable_conv_1_bn_reduction_lef\n", + "__________________________________________________________________________________________________\n", + "reduction_left2_stem_1 (MaxPool (None, 8, 8, 11) 0 reduction_pad_1_stem_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_r (None, 8, 8, 11) 44 separable_conv_2_reduction_right2\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_righ (None, 8, 8, 11) 396 activation_572[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_left (None, 8, 8, 11) 220 activation_574[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_relu_1_stem_2 (Activatio (None, 15, 15, 32) 0 stem_bn1[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_add_2_stem_1 (Add) (None, 8, 8, 11) 0 reduction_left2_stem_1[0][0] \n", + " separable_conv_2_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "reduction_left3_stem_1 (Average (None, 8, 8, 11) 0 reduction_pad_1_stem_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_r (None, 8, 8, 11) 44 separable_conv_2_reduction_right3\n", + "__________________________________________________________________________________________________\n", + "reduction_left4_stem_1 (Average (None, 8, 8, 11) 0 reduction_add_1_stem_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_l (None, 8, 8, 11) 44 separable_conv_2_reduction_left4_\n", + "__________________________________________________________________________________________________\n", + "reduction_right5_stem_1 (MaxPoo (None, 8, 8, 11) 0 reduction_pad_1_stem_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "zero_padding2d_12 (ZeroPadding2 (None, 16, 16, 32) 0 adjust_relu_1_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_add3_stem_1 (Add) (None, 8, 8, 11) 0 reduction_left3_stem_1[0][0] \n", + " separable_conv_2_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "add_12 (Add) (None, 8, 8, 11) 0 reduction_add_2_stem_1[0][0] \n", + " reduction_left4_stem_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_add4_stem_1 (Add) (None, 8, 8, 11) 0 separable_conv_2_bn_reduction_lef\n", + " reduction_right5_stem_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "cropping2d_12 (Cropping2D) (None, 15, 15, 32) 0 zero_padding2d_12[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_concat_stem_1 (Concat (None, 8, 8, 44) 0 reduction_add_2_stem_1[0][0] \n", + " reduction_add3_stem_1[0][0] \n", + " add_12[0][0] \n", + " reduction_add4_stem_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_avg_pool_1_stem_2 (Avera (None, 8, 8, 32) 0 adjust_relu_1_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_avg_pool_2_stem_2 (Avera (None, 8, 8, 32) 0 cropping2d_12[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_575 (Activation) (None, 8, 8, 44) 0 reduction_concat_stem_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_conv_1_stem_2 (Conv2D) (None, 8, 8, 11) 352 adjust_avg_pool_1_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_conv_2_stem_2 (Conv2D) (None, 8, 8, 11) 352 adjust_avg_pool_2_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_conv_1_stem_2 (Conv2D (None, 8, 8, 22) 968 activation_575[0][0] \n", + "__________________________________________________________________________________________________\n", + "concatenate_12 (Concatenate) (None, 8, 8, 22) 0 adjust_conv_1_stem_2[0][0] \n", + " adjust_conv_2_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_bn_1_stem_2 (BatchNor (None, 8, 8, 22) 88 reduction_conv_1_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_bn_stem_2 (BatchNormaliz (None, 8, 8, 22) 88 concatenate_12[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_576 (Activation) (None, 8, 8, 22) 0 reduction_bn_1_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_578 (Activation) (None, 8, 8, 22) 0 adjust_bn_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_pad_reduction_ (None, 11, 11, 22) 0 activation_576[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_pad_reduction_ (None, 13, 13, 22) 0 activation_578[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_left (None, 4, 4, 22) 1034 separable_conv_1_pad_reduction_le\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_righ (None, 4, 4, 22) 1562 separable_conv_1_pad_reduction_ri\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_l (None, 4, 4, 22) 88 separable_conv_1_reduction_left1_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_r (None, 4, 4, 22) 88 separable_conv_1_reduction_right1\n", + "__________________________________________________________________________________________________\n", + "activation_577 (Activation) (None, 4, 4, 22) 0 separable_conv_1_bn_reduction_lef\n", + "__________________________________________________________________________________________________\n", + "activation_579 (Activation) (None, 4, 4, 22) 0 separable_conv_1_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_left (None, 4, 4, 22) 1034 activation_577[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_righ (None, 4, 4, 22) 1562 activation_579[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_580 (Activation) (None, 8, 8, 22) 0 adjust_bn_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_l (None, 4, 4, 22) 88 separable_conv_2_reduction_left1_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_r (None, 4, 4, 22) 88 separable_conv_2_reduction_right1\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_pad_reduction_ (None, 13, 13, 22) 0 activation_580[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_582 (Activation) (None, 8, 8, 22) 0 adjust_bn_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_add_1_stem_2 (Add) (None, 4, 4, 22) 0 separable_conv_2_bn_reduction_lef\n", + " separable_conv_2_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_righ (None, 4, 4, 22) 1562 separable_conv_1_pad_reduction_ri\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_pad_reduction_ (None, 11, 11, 22) 0 activation_582[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_584 (Activation) (None, 4, 4, 22) 0 reduction_add_1_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_r (None, 4, 4, 22) 88 separable_conv_1_reduction_right2\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_righ (None, 4, 4, 22) 1034 separable_conv_1_pad_reduction_ri\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_left (None, 4, 4, 22) 682 activation_584[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_581 (Activation) (None, 4, 4, 22) 0 separable_conv_1_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_r (None, 4, 4, 22) 88 separable_conv_1_reduction_right3\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_l (None, 4, 4, 22) 88 separable_conv_1_reduction_left4_\n", + "__________________________________________________________________________________________________\n", + "reduction_pad_1_stem_2 (ZeroPad (None, 9, 9, 22) 0 reduction_bn_1_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_righ (None, 4, 4, 22) 1562 activation_581[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_583 (Activation) (None, 4, 4, 22) 0 separable_conv_1_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "activation_585 (Activation) (None, 4, 4, 22) 0 separable_conv_1_bn_reduction_lef\n", + "__________________________________________________________________________________________________\n", + "reduction_left2_stem_2 (MaxPool (None, 4, 4, 22) 0 reduction_pad_1_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_r (None, 4, 4, 22) 88 separable_conv_2_reduction_right2\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_righ (None, 4, 4, 22) 1034 activation_583[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_left (None, 4, 4, 22) 682 activation_585[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_relu_1_0 (Activation) (None, 8, 8, 44) 0 reduction_concat_stem_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_add_2_stem_2 (Add) (None, 4, 4, 22) 0 reduction_left2_stem_2[0][0] \n", + " separable_conv_2_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "reduction_left3_stem_2 (Average (None, 4, 4, 22) 0 reduction_pad_1_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_r (None, 4, 4, 22) 88 separable_conv_2_reduction_right3\n", + "__________________________________________________________________________________________________\n", + "reduction_left4_stem_2 (Average (None, 4, 4, 22) 0 reduction_add_1_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_l (None, 4, 4, 22) 88 separable_conv_2_reduction_left4_\n", + "__________________________________________________________________________________________________\n", + "reduction_right5_stem_2 (MaxPoo (None, 4, 4, 22) 0 reduction_pad_1_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "zero_padding2d_13 (ZeroPadding2 (None, 9, 9, 44) 0 adjust_relu_1_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_add3_stem_2 (Add) (None, 4, 4, 22) 0 reduction_left3_stem_2[0][0] \n", + " separable_conv_2_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "add_13 (Add) (None, 4, 4, 22) 0 reduction_add_2_stem_2[0][0] \n", + " reduction_left4_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_add4_stem_2 (Add) (None, 4, 4, 22) 0 separable_conv_2_bn_reduction_lef\n", + " reduction_right5_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "cropping2d_13 (Cropping2D) (None, 8, 8, 44) 0 zero_padding2d_13[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_concat_stem_2 (Concat (None, 4, 4, 88) 0 reduction_add_2_stem_2[0][0] \n", + " reduction_add3_stem_2[0][0] \n", + " add_13[0][0] \n", + " reduction_add4_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_avg_pool_1_0 (AveragePoo (None, 4, 4, 44) 0 adjust_relu_1_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_avg_pool_2_0 (AveragePoo (None, 4, 4, 44) 0 cropping2d_13[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_conv_1_0 (Conv2D) (None, 4, 4, 22) 968 adjust_avg_pool_1_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_conv_2_0 (Conv2D) (None, 4, 4, 22) 968 adjust_avg_pool_2_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_586 (Activation) (None, 4, 4, 88) 0 reduction_concat_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "concatenate_13 (Concatenate) (None, 4, 4, 44) 0 adjust_conv_1_0[0][0] \n", + " adjust_conv_2_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_conv_1_0 (Conv2D) (None, 4, 4, 44) 3872 activation_586[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_bn_0 (BatchNormalization (None, 4, 4, 44) 176 concatenate_13[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_bn_1_0 (BatchNormalizati (None, 4, 4, 44) 176 normal_conv_1_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_587 (Activation) (None, 4, 4, 44) 0 normal_bn_1_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_589 (Activation) (None, 4, 4, 44) 0 adjust_bn_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_591 (Activation) (None, 4, 4, 44) 0 adjust_bn_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_593 (Activation) (None, 4, 4, 44) 0 adjust_bn_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_595 (Activation) (None, 4, 4, 44) 0 normal_bn_1_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left1_0 (None, 4, 4, 44) 3036 activation_587[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right1_ (None, 4, 4, 44) 2332 activation_589[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left2_0 (None, 4, 4, 44) 3036 activation_591[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right2_ (None, 4, 4, 44) 2332 activation_593[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left5_0 (None, 4, 4, 44) 2332 activation_595[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 4, 4, 44) 176 separable_conv_1_normal_left1_0[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 4, 4, 44) 176 separable_conv_1_normal_right1_0[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 4, 4, 44) 176 separable_conv_1_normal_left2_0[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 4, 4, 44) 176 separable_conv_1_normal_right2_0[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 4, 4, 44) 176 separable_conv_1_normal_left5_0[0\n", + "__________________________________________________________________________________________________\n", + "activation_588 (Activation) (None, 4, 4, 44) 0 separable_conv_1_bn_normal_left1_\n", + "__________________________________________________________________________________________________\n", + "activation_590 (Activation) (None, 4, 4, 44) 0 separable_conv_1_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "activation_592 (Activation) (None, 4, 4, 44) 0 separable_conv_1_bn_normal_left2_\n", + "__________________________________________________________________________________________________\n", + "activation_594 (Activation) (None, 4, 4, 44) 0 separable_conv_1_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "activation_596 (Activation) (None, 4, 4, 44) 0 separable_conv_1_bn_normal_left5_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left1_0 (None, 4, 4, 44) 3036 activation_588[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right1_ (None, 4, 4, 44) 2332 activation_590[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left2_0 (None, 4, 4, 44) 3036 activation_592[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right2_ (None, 4, 4, 44) 2332 activation_594[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left5_0 (None, 4, 4, 44) 2332 activation_596[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 4, 4, 44) 176 separable_conv_2_normal_left1_0[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 4, 4, 44) 176 separable_conv_2_normal_right1_0[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 4, 4, 44) 176 separable_conv_2_normal_left2_0[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 4, 4, 44) 176 separable_conv_2_normal_right2_0[\n", + "__________________________________________________________________________________________________\n", + "normal_left3_0 (AveragePooling2 (None, 4, 4, 44) 0 normal_bn_1_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_left4_0 (AveragePooling2 (None, 4, 4, 44) 0 adjust_bn_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_right4_0 (AveragePooling (None, 4, 4, 44) 0 adjust_bn_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 4, 4, 44) 176 separable_conv_2_normal_left5_0[0\n", + "__________________________________________________________________________________________________\n", + "normal_add_1_0 (Add) (None, 4, 4, 44) 0 separable_conv_2_bn_normal_left1_\n", + " separable_conv_2_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "normal_add_2_0 (Add) (None, 4, 4, 44) 0 separable_conv_2_bn_normal_left2_\n", + " separable_conv_2_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "normal_add_3_0 (Add) (None, 4, 4, 44) 0 normal_left3_0[0][0] \n", + " adjust_bn_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_4_0 (Add) (None, 4, 4, 44) 0 normal_left4_0[0][0] \n", + " normal_right4_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_5_0 (Add) (None, 4, 4, 44) 0 separable_conv_2_bn_normal_left5_\n", + " normal_bn_1_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_concat_0 (Concatenate) (None, 4, 4, 264) 0 adjust_bn_0[0][0] \n", + " normal_add_1_0[0][0] \n", + " normal_add_2_0[0][0] \n", + " normal_add_3_0[0][0] \n", + " normal_add_4_0[0][0] \n", + " normal_add_5_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_597 (Activation) (None, 4, 4, 88) 0 reduction_concat_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_598 (Activation) (None, 4, 4, 264) 0 normal_concat_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_conv_projection_1 (Conv2 (None, 4, 4, 44) 3872 activation_597[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_conv_1_1 (Conv2D) (None, 4, 4, 44) 11616 activation_598[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_bn_1 (BatchNormalization (None, 4, 4, 44) 176 adjust_conv_projection_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_bn_1_1 (BatchNormalizati (None, 4, 4, 44) 176 normal_conv_1_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_599 (Activation) (None, 4, 4, 44) 0 normal_bn_1_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_601 (Activation) (None, 4, 4, 44) 0 adjust_bn_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_603 (Activation) (None, 4, 4, 44) 0 adjust_bn_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_605 (Activation) (None, 4, 4, 44) 0 adjust_bn_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_607 (Activation) (None, 4, 4, 44) 0 normal_bn_1_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left1_1 (None, 4, 4, 44) 3036 activation_599[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right1_ (None, 4, 4, 44) 2332 activation_601[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left2_1 (None, 4, 4, 44) 3036 activation_603[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right2_ (None, 4, 4, 44) 2332 activation_605[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left5_1 (None, 4, 4, 44) 2332 activation_607[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 4, 4, 44) 176 separable_conv_1_normal_left1_1[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 4, 4, 44) 176 separable_conv_1_normal_right1_1[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 4, 4, 44) 176 separable_conv_1_normal_left2_1[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 4, 4, 44) 176 separable_conv_1_normal_right2_1[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 4, 4, 44) 176 separable_conv_1_normal_left5_1[0\n", + "__________________________________________________________________________________________________\n", + "activation_600 (Activation) (None, 4, 4, 44) 0 separable_conv_1_bn_normal_left1_\n", + "__________________________________________________________________________________________________\n", + "activation_602 (Activation) (None, 4, 4, 44) 0 separable_conv_1_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "activation_604 (Activation) (None, 4, 4, 44) 0 separable_conv_1_bn_normal_left2_\n", + "__________________________________________________________________________________________________\n", + "activation_606 (Activation) (None, 4, 4, 44) 0 separable_conv_1_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "activation_608 (Activation) (None, 4, 4, 44) 0 separable_conv_1_bn_normal_left5_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left1_1 (None, 4, 4, 44) 3036 activation_600[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right1_ (None, 4, 4, 44) 2332 activation_602[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left2_1 (None, 4, 4, 44) 3036 activation_604[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right2_ (None, 4, 4, 44) 2332 activation_606[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left5_1 (None, 4, 4, 44) 2332 activation_608[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 4, 4, 44) 176 separable_conv_2_normal_left1_1[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 4, 4, 44) 176 separable_conv_2_normal_right1_1[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 4, 4, 44) 176 separable_conv_2_normal_left2_1[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 4, 4, 44) 176 separable_conv_2_normal_right2_1[\n", + "__________________________________________________________________________________________________\n", + "normal_left3_1 (AveragePooling2 (None, 4, 4, 44) 0 normal_bn_1_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_left4_1 (AveragePooling2 (None, 4, 4, 44) 0 adjust_bn_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_right4_1 (AveragePooling (None, 4, 4, 44) 0 adjust_bn_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 4, 4, 44) 176 separable_conv_2_normal_left5_1[0\n", + "__________________________________________________________________________________________________\n", + "normal_add_1_1 (Add) (None, 4, 4, 44) 0 separable_conv_2_bn_normal_left1_\n", + " separable_conv_2_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "normal_add_2_1 (Add) (None, 4, 4, 44) 0 separable_conv_2_bn_normal_left2_\n", + " separable_conv_2_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "normal_add_3_1 (Add) (None, 4, 4, 44) 0 normal_left3_1[0][0] \n", + " adjust_bn_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_4_1 (Add) (None, 4, 4, 44) 0 normal_left4_1[0][0] \n", + " normal_right4_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_5_1 (Add) (None, 4, 4, 44) 0 separable_conv_2_bn_normal_left5_\n", + " normal_bn_1_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_concat_1 (Concatenate) (None, 4, 4, 264) 0 adjust_bn_1[0][0] \n", + " normal_add_1_1[0][0] \n", + " normal_add_2_1[0][0] \n", + " normal_add_3_1[0][0] \n", + " normal_add_4_1[0][0] \n", + " normal_add_5_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_609 (Activation) (None, 4, 4, 264) 0 normal_concat_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_610 (Activation) (None, 4, 4, 264) 0 normal_concat_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_conv_projection_2 (Conv2 (None, 4, 4, 44) 11616 activation_609[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_conv_1_2 (Conv2D) (None, 4, 4, 44) 11616 activation_610[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_bn_2 (BatchNormalization (None, 4, 4, 44) 176 adjust_conv_projection_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_bn_1_2 (BatchNormalizati (None, 4, 4, 44) 176 normal_conv_1_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_611 (Activation) (None, 4, 4, 44) 0 normal_bn_1_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_613 (Activation) (None, 4, 4, 44) 0 adjust_bn_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_615 (Activation) (None, 4, 4, 44) 0 adjust_bn_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_617 (Activation) (None, 4, 4, 44) 0 adjust_bn_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_619 (Activation) (None, 4, 4, 44) 0 normal_bn_1_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left1_2 (None, 4, 4, 44) 3036 activation_611[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right1_ (None, 4, 4, 44) 2332 activation_613[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left2_2 (None, 4, 4, 44) 3036 activation_615[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right2_ (None, 4, 4, 44) 2332 activation_617[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left5_2 (None, 4, 4, 44) 2332 activation_619[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 4, 4, 44) 176 separable_conv_1_normal_left1_2[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 4, 4, 44) 176 separable_conv_1_normal_right1_2[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 4, 4, 44) 176 separable_conv_1_normal_left2_2[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 4, 4, 44) 176 separable_conv_1_normal_right2_2[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 4, 4, 44) 176 separable_conv_1_normal_left5_2[0\n", + "__________________________________________________________________________________________________\n", + "activation_612 (Activation) (None, 4, 4, 44) 0 separable_conv_1_bn_normal_left1_\n", + "__________________________________________________________________________________________________\n", + "activation_614 (Activation) (None, 4, 4, 44) 0 separable_conv_1_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "activation_616 (Activation) (None, 4, 4, 44) 0 separable_conv_1_bn_normal_left2_\n", + "__________________________________________________________________________________________________\n", + "activation_618 (Activation) (None, 4, 4, 44) 0 separable_conv_1_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "activation_620 (Activation) (None, 4, 4, 44) 0 separable_conv_1_bn_normal_left5_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left1_2 (None, 4, 4, 44) 3036 activation_612[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right1_ (None, 4, 4, 44) 2332 activation_614[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left2_2 (None, 4, 4, 44) 3036 activation_616[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right2_ (None, 4, 4, 44) 2332 activation_618[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left5_2 (None, 4, 4, 44) 2332 activation_620[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 4, 4, 44) 176 separable_conv_2_normal_left1_2[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 4, 4, 44) 176 separable_conv_2_normal_right1_2[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 4, 4, 44) 176 separable_conv_2_normal_left2_2[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 4, 4, 44) 176 separable_conv_2_normal_right2_2[\n", + "__________________________________________________________________________________________________\n", + "normal_left3_2 (AveragePooling2 (None, 4, 4, 44) 0 normal_bn_1_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_left4_2 (AveragePooling2 (None, 4, 4, 44) 0 adjust_bn_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_right4_2 (AveragePooling (None, 4, 4, 44) 0 adjust_bn_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 4, 4, 44) 176 separable_conv_2_normal_left5_2[0\n", + "__________________________________________________________________________________________________\n", + "normal_add_1_2 (Add) (None, 4, 4, 44) 0 separable_conv_2_bn_normal_left1_\n", + " separable_conv_2_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "normal_add_2_2 (Add) (None, 4, 4, 44) 0 separable_conv_2_bn_normal_left2_\n", + " separable_conv_2_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "normal_add_3_2 (Add) (None, 4, 4, 44) 0 normal_left3_2[0][0] \n", + " adjust_bn_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_4_2 (Add) (None, 4, 4, 44) 0 normal_left4_2[0][0] \n", + " normal_right4_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_5_2 (Add) (None, 4, 4, 44) 0 separable_conv_2_bn_normal_left5_\n", + " normal_bn_1_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_concat_2 (Concatenate) (None, 4, 4, 264) 0 adjust_bn_2[0][0] \n", + " normal_add_1_2[0][0] \n", + " normal_add_2_2[0][0] \n", + " normal_add_3_2[0][0] \n", + " normal_add_4_2[0][0] \n", + " normal_add_5_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_621 (Activation) (None, 4, 4, 264) 0 normal_concat_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_622 (Activation) (None, 4, 4, 264) 0 normal_concat_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_conv_projection_3 (Conv2 (None, 4, 4, 44) 11616 activation_621[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_conv_1_3 (Conv2D) (None, 4, 4, 44) 11616 activation_622[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_bn_3 (BatchNormalization (None, 4, 4, 44) 176 adjust_conv_projection_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_bn_1_3 (BatchNormalizati (None, 4, 4, 44) 176 normal_conv_1_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_623 (Activation) (None, 4, 4, 44) 0 normal_bn_1_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_625 (Activation) (None, 4, 4, 44) 0 adjust_bn_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_627 (Activation) (None, 4, 4, 44) 0 adjust_bn_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_629 (Activation) (None, 4, 4, 44) 0 adjust_bn_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_631 (Activation) (None, 4, 4, 44) 0 normal_bn_1_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left1_3 (None, 4, 4, 44) 3036 activation_623[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right1_ (None, 4, 4, 44) 2332 activation_625[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left2_3 (None, 4, 4, 44) 3036 activation_627[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right2_ (None, 4, 4, 44) 2332 activation_629[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left5_3 (None, 4, 4, 44) 2332 activation_631[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 4, 4, 44) 176 separable_conv_1_normal_left1_3[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 4, 4, 44) 176 separable_conv_1_normal_right1_3[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 4, 4, 44) 176 separable_conv_1_normal_left2_3[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 4, 4, 44) 176 separable_conv_1_normal_right2_3[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 4, 4, 44) 176 separable_conv_1_normal_left5_3[0\n", + "__________________________________________________________________________________________________\n", + "activation_624 (Activation) (None, 4, 4, 44) 0 separable_conv_1_bn_normal_left1_\n", + "__________________________________________________________________________________________________\n", + "activation_626 (Activation) (None, 4, 4, 44) 0 separable_conv_1_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "activation_628 (Activation) (None, 4, 4, 44) 0 separable_conv_1_bn_normal_left2_\n", + "__________________________________________________________________________________________________\n", + "activation_630 (Activation) (None, 4, 4, 44) 0 separable_conv_1_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "activation_632 (Activation) (None, 4, 4, 44) 0 separable_conv_1_bn_normal_left5_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left1_3 (None, 4, 4, 44) 3036 activation_624[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right1_ (None, 4, 4, 44) 2332 activation_626[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left2_3 (None, 4, 4, 44) 3036 activation_628[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right2_ (None, 4, 4, 44) 2332 activation_630[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left5_3 (None, 4, 4, 44) 2332 activation_632[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 4, 4, 44) 176 separable_conv_2_normal_left1_3[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 4, 4, 44) 176 separable_conv_2_normal_right1_3[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 4, 4, 44) 176 separable_conv_2_normal_left2_3[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 4, 4, 44) 176 separable_conv_2_normal_right2_3[\n", + "__________________________________________________________________________________________________\n", + "normal_left3_3 (AveragePooling2 (None, 4, 4, 44) 0 normal_bn_1_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_left4_3 (AveragePooling2 (None, 4, 4, 44) 0 adjust_bn_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_right4_3 (AveragePooling (None, 4, 4, 44) 0 adjust_bn_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 4, 4, 44) 176 separable_conv_2_normal_left5_3[0\n", + "__________________________________________________________________________________________________\n", + "normal_add_1_3 (Add) (None, 4, 4, 44) 0 separable_conv_2_bn_normal_left1_\n", + " separable_conv_2_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "normal_add_2_3 (Add) (None, 4, 4, 44) 0 separable_conv_2_bn_normal_left2_\n", + " separable_conv_2_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "normal_add_3_3 (Add) (None, 4, 4, 44) 0 normal_left3_3[0][0] \n", + " adjust_bn_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_4_3 (Add) (None, 4, 4, 44) 0 normal_left4_3[0][0] \n", + " normal_right4_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_5_3 (Add) (None, 4, 4, 44) 0 separable_conv_2_bn_normal_left5_\n", + " normal_bn_1_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_concat_3 (Concatenate) (None, 4, 4, 264) 0 adjust_bn_3[0][0] \n", + " normal_add_1_3[0][0] \n", + " normal_add_2_3[0][0] \n", + " normal_add_3_3[0][0] \n", + " normal_add_4_3[0][0] \n", + " normal_add_5_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_634 (Activation) (None, 4, 4, 264) 0 normal_concat_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_633 (Activation) (None, 4, 4, 264) 0 normal_concat_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_conv_1_reduce_4 (Conv (None, 4, 4, 88) 23232 activation_634[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_conv_projection_reduce_4 (None, 4, 4, 88) 23232 activation_633[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_bn_1_reduce_4 (BatchN (None, 4, 4, 88) 352 reduction_conv_1_reduce_4[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_bn_reduce_4 (BatchNormal (None, 4, 4, 88) 352 adjust_conv_projection_reduce_4[0\n", + "__________________________________________________________________________________________________\n", + "activation_635 (Activation) (None, 4, 4, 88) 0 reduction_bn_1_reduce_4[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_637 (Activation) (None, 4, 4, 88) 0 adjust_bn_reduce_4[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_pad_reduction_ (None, 7, 7, 88) 0 activation_635[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_pad_reduction_ (None, 9, 9, 88) 0 activation_637[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_left (None, 2, 2, 88) 9944 separable_conv_1_pad_reduction_le\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_righ (None, 2, 2, 88) 12056 separable_conv_1_pad_reduction_ri\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_l (None, 2, 2, 88) 352 separable_conv_1_reduction_left1_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_r (None, 2, 2, 88) 352 separable_conv_1_reduction_right1\n", + "__________________________________________________________________________________________________\n", + "activation_636 (Activation) (None, 2, 2, 88) 0 separable_conv_1_bn_reduction_lef\n", + "__________________________________________________________________________________________________\n", + "activation_638 (Activation) (None, 2, 2, 88) 0 separable_conv_1_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_left (None, 2, 2, 88) 9944 activation_636[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_righ (None, 2, 2, 88) 12056 activation_638[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_639 (Activation) (None, 4, 4, 88) 0 adjust_bn_reduce_4[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_l (None, 2, 2, 88) 352 separable_conv_2_reduction_left1_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_r (None, 2, 2, 88) 352 separable_conv_2_reduction_right1\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_pad_reduction_ (None, 9, 9, 88) 0 activation_639[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_641 (Activation) (None, 4, 4, 88) 0 adjust_bn_reduce_4[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_add_1_reduce_4 (Add) (None, 2, 2, 88) 0 separable_conv_2_bn_reduction_lef\n", + " separable_conv_2_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_righ (None, 2, 2, 88) 12056 separable_conv_1_pad_reduction_ri\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_pad_reduction_ (None, 7, 7, 88) 0 activation_641[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_643 (Activation) (None, 2, 2, 88) 0 reduction_add_1_reduce_4[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_r (None, 2, 2, 88) 352 separable_conv_1_reduction_right2\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_righ (None, 2, 2, 88) 9944 separable_conv_1_pad_reduction_ri\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_left (None, 2, 2, 88) 8536 activation_643[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_640 (Activation) (None, 2, 2, 88) 0 separable_conv_1_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_r (None, 2, 2, 88) 352 separable_conv_1_reduction_right3\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_l (None, 2, 2, 88) 352 separable_conv_1_reduction_left4_\n", + "__________________________________________________________________________________________________\n", + "reduction_pad_1_reduce_4 (ZeroP (None, 5, 5, 88) 0 reduction_bn_1_reduce_4[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_righ (None, 2, 2, 88) 12056 activation_640[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_642 (Activation) (None, 2, 2, 88) 0 separable_conv_1_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "activation_644 (Activation) (None, 2, 2, 88) 0 separable_conv_1_bn_reduction_lef\n", + "__________________________________________________________________________________________________\n", + "reduction_left2_reduce_4 (MaxPo (None, 2, 2, 88) 0 reduction_pad_1_reduce_4[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_r (None, 2, 2, 88) 352 separable_conv_2_reduction_right2\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_righ (None, 2, 2, 88) 9944 activation_642[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_left (None, 2, 2, 88) 8536 activation_644[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_relu_1_5 (Activation) (None, 4, 4, 264) 0 normal_concat_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_add_2_reduce_4 (Add) (None, 2, 2, 88) 0 reduction_left2_reduce_4[0][0] \n", + " separable_conv_2_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "reduction_left3_reduce_4 (Avera (None, 2, 2, 88) 0 reduction_pad_1_reduce_4[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_r (None, 2, 2, 88) 352 separable_conv_2_reduction_right3\n", + "__________________________________________________________________________________________________\n", + "reduction_left4_reduce_4 (Avera (None, 2, 2, 88) 0 reduction_add_1_reduce_4[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_l (None, 2, 2, 88) 352 separable_conv_2_reduction_left4_\n", + "__________________________________________________________________________________________________\n", + "reduction_right5_reduce_4 (MaxP (None, 2, 2, 88) 0 reduction_pad_1_reduce_4[0][0] \n", + "__________________________________________________________________________________________________\n", + "zero_padding2d_14 (ZeroPadding2 (None, 5, 5, 264) 0 adjust_relu_1_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_add3_reduce_4 (Add) (None, 2, 2, 88) 0 reduction_left3_reduce_4[0][0] \n", + " separable_conv_2_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "add_14 (Add) (None, 2, 2, 88) 0 reduction_add_2_reduce_4[0][0] \n", + " reduction_left4_reduce_4[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_add4_reduce_4 (Add) (None, 2, 2, 88) 0 separable_conv_2_bn_reduction_lef\n", + " reduction_right5_reduce_4[0][0] \n", + "__________________________________________________________________________________________________\n", + "cropping2d_14 (Cropping2D) (None, 4, 4, 264) 0 zero_padding2d_14[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_concat_reduce_4 (Conc (None, 2, 2, 352) 0 reduction_add_2_reduce_4[0][0] \n", + " reduction_add3_reduce_4[0][0] \n", + " add_14[0][0] \n", + " reduction_add4_reduce_4[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_avg_pool_1_5 (AveragePoo (None, 2, 2, 264) 0 adjust_relu_1_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_avg_pool_2_5 (AveragePoo (None, 2, 2, 264) 0 cropping2d_14[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_conv_1_5 (Conv2D) (None, 2, 2, 44) 11616 adjust_avg_pool_1_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_conv_2_5 (Conv2D) (None, 2, 2, 44) 11616 adjust_avg_pool_2_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_645 (Activation) (None, 2, 2, 352) 0 reduction_concat_reduce_4[0][0] \n", + "__________________________________________________________________________________________________\n", + "concatenate_14 (Concatenate) (None, 2, 2, 88) 0 adjust_conv_1_5[0][0] \n", + " adjust_conv_2_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_conv_1_5 (Conv2D) (None, 2, 2, 88) 30976 activation_645[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_bn_5 (BatchNormalization (None, 2, 2, 88) 352 concatenate_14[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_bn_1_5 (BatchNormalizati (None, 2, 2, 88) 352 normal_conv_1_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_646 (Activation) (None, 2, 2, 88) 0 normal_bn_1_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_648 (Activation) (None, 2, 2, 88) 0 adjust_bn_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_650 (Activation) (None, 2, 2, 88) 0 adjust_bn_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_652 (Activation) (None, 2, 2, 88) 0 adjust_bn_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_654 (Activation) (None, 2, 2, 88) 0 normal_bn_1_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left1_5 (None, 2, 2, 88) 9944 activation_646[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right1_ (None, 2, 2, 88) 8536 activation_648[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left2_5 (None, 2, 2, 88) 9944 activation_650[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right2_ (None, 2, 2, 88) 8536 activation_652[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left5_5 (None, 2, 2, 88) 8536 activation_654[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 2, 2, 88) 352 separable_conv_1_normal_left1_5[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 2, 2, 88) 352 separable_conv_1_normal_right1_5[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 2, 2, 88) 352 separable_conv_1_normal_left2_5[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 2, 2, 88) 352 separable_conv_1_normal_right2_5[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 2, 2, 88) 352 separable_conv_1_normal_left5_5[0\n", + "__________________________________________________________________________________________________\n", + "activation_647 (Activation) (None, 2, 2, 88) 0 separable_conv_1_bn_normal_left1_\n", + "__________________________________________________________________________________________________\n", + "activation_649 (Activation) (None, 2, 2, 88) 0 separable_conv_1_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "activation_651 (Activation) (None, 2, 2, 88) 0 separable_conv_1_bn_normal_left2_\n", + "__________________________________________________________________________________________________\n", + "activation_653 (Activation) (None, 2, 2, 88) 0 separable_conv_1_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "activation_655 (Activation) (None, 2, 2, 88) 0 separable_conv_1_bn_normal_left5_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left1_5 (None, 2, 2, 88) 9944 activation_647[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right1_ (None, 2, 2, 88) 8536 activation_649[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left2_5 (None, 2, 2, 88) 9944 activation_651[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right2_ (None, 2, 2, 88) 8536 activation_653[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left5_5 (None, 2, 2, 88) 8536 activation_655[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 2, 2, 88) 352 separable_conv_2_normal_left1_5[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 2, 2, 88) 352 separable_conv_2_normal_right1_5[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 2, 2, 88) 352 separable_conv_2_normal_left2_5[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 2, 2, 88) 352 separable_conv_2_normal_right2_5[\n", + "__________________________________________________________________________________________________\n", + "normal_left3_5 (AveragePooling2 (None, 2, 2, 88) 0 normal_bn_1_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_left4_5 (AveragePooling2 (None, 2, 2, 88) 0 adjust_bn_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_right4_5 (AveragePooling (None, 2, 2, 88) 0 adjust_bn_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 2, 2, 88) 352 separable_conv_2_normal_left5_5[0\n", + "__________________________________________________________________________________________________\n", + "normal_add_1_5 (Add) (None, 2, 2, 88) 0 separable_conv_2_bn_normal_left1_\n", + " separable_conv_2_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "normal_add_2_5 (Add) (None, 2, 2, 88) 0 separable_conv_2_bn_normal_left2_\n", + " separable_conv_2_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "normal_add_3_5 (Add) (None, 2, 2, 88) 0 normal_left3_5[0][0] \n", + " adjust_bn_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_4_5 (Add) (None, 2, 2, 88) 0 normal_left4_5[0][0] \n", + " normal_right4_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_5_5 (Add) (None, 2, 2, 88) 0 separable_conv_2_bn_normal_left5_\n", + " normal_bn_1_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_concat_5 (Concatenate) (None, 2, 2, 528) 0 adjust_bn_5[0][0] \n", + " normal_add_1_5[0][0] \n", + " normal_add_2_5[0][0] \n", + " normal_add_3_5[0][0] \n", + " normal_add_4_5[0][0] \n", + " normal_add_5_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_656 (Activation) (None, 2, 2, 352) 0 reduction_concat_reduce_4[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_657 (Activation) (None, 2, 2, 528) 0 normal_concat_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_conv_projection_6 (Conv2 (None, 2, 2, 88) 30976 activation_656[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_conv_1_6 (Conv2D) (None, 2, 2, 88) 46464 activation_657[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_bn_6 (BatchNormalization (None, 2, 2, 88) 352 adjust_conv_projection_6[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_bn_1_6 (BatchNormalizati (None, 2, 2, 88) 352 normal_conv_1_6[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_658 (Activation) (None, 2, 2, 88) 0 normal_bn_1_6[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_660 (Activation) (None, 2, 2, 88) 0 adjust_bn_6[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_662 (Activation) (None, 2, 2, 88) 0 adjust_bn_6[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_664 (Activation) (None, 2, 2, 88) 0 adjust_bn_6[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_666 (Activation) (None, 2, 2, 88) 0 normal_bn_1_6[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left1_6 (None, 2, 2, 88) 9944 activation_658[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right1_ (None, 2, 2, 88) 8536 activation_660[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left2_6 (None, 2, 2, 88) 9944 activation_662[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right2_ (None, 2, 2, 88) 8536 activation_664[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left5_6 (None, 2, 2, 88) 8536 activation_666[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 2, 2, 88) 352 separable_conv_1_normal_left1_6[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 2, 2, 88) 352 separable_conv_1_normal_right1_6[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 2, 2, 88) 352 separable_conv_1_normal_left2_6[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 2, 2, 88) 352 separable_conv_1_normal_right2_6[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 2, 2, 88) 352 separable_conv_1_normal_left5_6[0\n", + "__________________________________________________________________________________________________\n", + "activation_659 (Activation) (None, 2, 2, 88) 0 separable_conv_1_bn_normal_left1_\n", + "__________________________________________________________________________________________________\n", + "activation_661 (Activation) (None, 2, 2, 88) 0 separable_conv_1_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "activation_663 (Activation) (None, 2, 2, 88) 0 separable_conv_1_bn_normal_left2_\n", + "__________________________________________________________________________________________________\n", + "activation_665 (Activation) (None, 2, 2, 88) 0 separable_conv_1_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "activation_667 (Activation) (None, 2, 2, 88) 0 separable_conv_1_bn_normal_left5_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left1_6 (None, 2, 2, 88) 9944 activation_659[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right1_ (None, 2, 2, 88) 8536 activation_661[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left2_6 (None, 2, 2, 88) 9944 activation_663[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right2_ (None, 2, 2, 88) 8536 activation_665[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left5_6 (None, 2, 2, 88) 8536 activation_667[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 2, 2, 88) 352 separable_conv_2_normal_left1_6[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 2, 2, 88) 352 separable_conv_2_normal_right1_6[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 2, 2, 88) 352 separable_conv_2_normal_left2_6[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 2, 2, 88) 352 separable_conv_2_normal_right2_6[\n", + "__________________________________________________________________________________________________\n", + "normal_left3_6 (AveragePooling2 (None, 2, 2, 88) 0 normal_bn_1_6[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_left4_6 (AveragePooling2 (None, 2, 2, 88) 0 adjust_bn_6[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_right4_6 (AveragePooling (None, 2, 2, 88) 0 adjust_bn_6[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 2, 2, 88) 352 separable_conv_2_normal_left5_6[0\n", + "__________________________________________________________________________________________________\n", + "normal_add_1_6 (Add) (None, 2, 2, 88) 0 separable_conv_2_bn_normal_left1_\n", + " separable_conv_2_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "normal_add_2_6 (Add) (None, 2, 2, 88) 0 separable_conv_2_bn_normal_left2_\n", + " separable_conv_2_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "normal_add_3_6 (Add) (None, 2, 2, 88) 0 normal_left3_6[0][0] \n", + " adjust_bn_6[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_4_6 (Add) (None, 2, 2, 88) 0 normal_left4_6[0][0] \n", + " normal_right4_6[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_5_6 (Add) (None, 2, 2, 88) 0 separable_conv_2_bn_normal_left5_\n", + " normal_bn_1_6[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_concat_6 (Concatenate) (None, 2, 2, 528) 0 adjust_bn_6[0][0] \n", + " normal_add_1_6[0][0] \n", + " normal_add_2_6[0][0] \n", + " normal_add_3_6[0][0] \n", + " normal_add_4_6[0][0] \n", + " normal_add_5_6[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_668 (Activation) (None, 2, 2, 528) 0 normal_concat_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_669 (Activation) (None, 2, 2, 528) 0 normal_concat_6[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_conv_projection_7 (Conv2 (None, 2, 2, 88) 46464 activation_668[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_conv_1_7 (Conv2D) (None, 2, 2, 88) 46464 activation_669[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_bn_7 (BatchNormalization (None, 2, 2, 88) 352 adjust_conv_projection_7[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_bn_1_7 (BatchNormalizati (None, 2, 2, 88) 352 normal_conv_1_7[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_670 (Activation) (None, 2, 2, 88) 0 normal_bn_1_7[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_672 (Activation) (None, 2, 2, 88) 0 adjust_bn_7[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_674 (Activation) (None, 2, 2, 88) 0 adjust_bn_7[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_676 (Activation) (None, 2, 2, 88) 0 adjust_bn_7[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_678 (Activation) (None, 2, 2, 88) 0 normal_bn_1_7[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left1_7 (None, 2, 2, 88) 9944 activation_670[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right1_ (None, 2, 2, 88) 8536 activation_672[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left2_7 (None, 2, 2, 88) 9944 activation_674[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right2_ (None, 2, 2, 88) 8536 activation_676[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left5_7 (None, 2, 2, 88) 8536 activation_678[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 2, 2, 88) 352 separable_conv_1_normal_left1_7[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 2, 2, 88) 352 separable_conv_1_normal_right1_7[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 2, 2, 88) 352 separable_conv_1_normal_left2_7[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 2, 2, 88) 352 separable_conv_1_normal_right2_7[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 2, 2, 88) 352 separable_conv_1_normal_left5_7[0\n", + "__________________________________________________________________________________________________\n", + "activation_671 (Activation) (None, 2, 2, 88) 0 separable_conv_1_bn_normal_left1_\n", + "__________________________________________________________________________________________________\n", + "activation_673 (Activation) (None, 2, 2, 88) 0 separable_conv_1_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "activation_675 (Activation) (None, 2, 2, 88) 0 separable_conv_1_bn_normal_left2_\n", + "__________________________________________________________________________________________________\n", + "activation_677 (Activation) (None, 2, 2, 88) 0 separable_conv_1_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "activation_679 (Activation) (None, 2, 2, 88) 0 separable_conv_1_bn_normal_left5_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left1_7 (None, 2, 2, 88) 9944 activation_671[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right1_ (None, 2, 2, 88) 8536 activation_673[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left2_7 (None, 2, 2, 88) 9944 activation_675[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right2_ (None, 2, 2, 88) 8536 activation_677[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left5_7 (None, 2, 2, 88) 8536 activation_679[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 2, 2, 88) 352 separable_conv_2_normal_left1_7[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 2, 2, 88) 352 separable_conv_2_normal_right1_7[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 2, 2, 88) 352 separable_conv_2_normal_left2_7[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 2, 2, 88) 352 separable_conv_2_normal_right2_7[\n", + "__________________________________________________________________________________________________\n", + "normal_left3_7 (AveragePooling2 (None, 2, 2, 88) 0 normal_bn_1_7[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_left4_7 (AveragePooling2 (None, 2, 2, 88) 0 adjust_bn_7[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_right4_7 (AveragePooling (None, 2, 2, 88) 0 adjust_bn_7[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 2, 2, 88) 352 separable_conv_2_normal_left5_7[0\n", + "__________________________________________________________________________________________________\n", + "normal_add_1_7 (Add) (None, 2, 2, 88) 0 separable_conv_2_bn_normal_left1_\n", + " separable_conv_2_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "normal_add_2_7 (Add) (None, 2, 2, 88) 0 separable_conv_2_bn_normal_left2_\n", + " separable_conv_2_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "normal_add_3_7 (Add) (None, 2, 2, 88) 0 normal_left3_7[0][0] \n", + " adjust_bn_7[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_4_7 (Add) (None, 2, 2, 88) 0 normal_left4_7[0][0] \n", + " normal_right4_7[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_5_7 (Add) (None, 2, 2, 88) 0 separable_conv_2_bn_normal_left5_\n", + " normal_bn_1_7[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_concat_7 (Concatenate) (None, 2, 2, 528) 0 adjust_bn_7[0][0] \n", + " normal_add_1_7[0][0] \n", + " normal_add_2_7[0][0] \n", + " normal_add_3_7[0][0] \n", + " normal_add_4_7[0][0] \n", + " normal_add_5_7[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_680 (Activation) (None, 2, 2, 528) 0 normal_concat_6[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_681 (Activation) (None, 2, 2, 528) 0 normal_concat_7[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_conv_projection_8 (Conv2 (None, 2, 2, 88) 46464 activation_680[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_conv_1_8 (Conv2D) (None, 2, 2, 88) 46464 activation_681[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_bn_8 (BatchNormalization (None, 2, 2, 88) 352 adjust_conv_projection_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_bn_1_8 (BatchNormalizati (None, 2, 2, 88) 352 normal_conv_1_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_682 (Activation) (None, 2, 2, 88) 0 normal_bn_1_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_684 (Activation) (None, 2, 2, 88) 0 adjust_bn_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_686 (Activation) (None, 2, 2, 88) 0 adjust_bn_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_688 (Activation) (None, 2, 2, 88) 0 adjust_bn_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_690 (Activation) (None, 2, 2, 88) 0 normal_bn_1_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left1_8 (None, 2, 2, 88) 9944 activation_682[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right1_ (None, 2, 2, 88) 8536 activation_684[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left2_8 (None, 2, 2, 88) 9944 activation_686[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right2_ (None, 2, 2, 88) 8536 activation_688[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left5_8 (None, 2, 2, 88) 8536 activation_690[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 2, 2, 88) 352 separable_conv_1_normal_left1_8[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 2, 2, 88) 352 separable_conv_1_normal_right1_8[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 2, 2, 88) 352 separable_conv_1_normal_left2_8[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 2, 2, 88) 352 separable_conv_1_normal_right2_8[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 2, 2, 88) 352 separable_conv_1_normal_left5_8[0\n", + "__________________________________________________________________________________________________\n", + "activation_683 (Activation) (None, 2, 2, 88) 0 separable_conv_1_bn_normal_left1_\n", + "__________________________________________________________________________________________________\n", + "activation_685 (Activation) (None, 2, 2, 88) 0 separable_conv_1_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "activation_687 (Activation) (None, 2, 2, 88) 0 separable_conv_1_bn_normal_left2_\n", + "__________________________________________________________________________________________________\n", + "activation_689 (Activation) (None, 2, 2, 88) 0 separable_conv_1_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "activation_691 (Activation) (None, 2, 2, 88) 0 separable_conv_1_bn_normal_left5_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left1_8 (None, 2, 2, 88) 9944 activation_683[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right1_ (None, 2, 2, 88) 8536 activation_685[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left2_8 (None, 2, 2, 88) 9944 activation_687[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right2_ (None, 2, 2, 88) 8536 activation_689[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left5_8 (None, 2, 2, 88) 8536 activation_691[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 2, 2, 88) 352 separable_conv_2_normal_left1_8[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 2, 2, 88) 352 separable_conv_2_normal_right1_8[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 2, 2, 88) 352 separable_conv_2_normal_left2_8[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 2, 2, 88) 352 separable_conv_2_normal_right2_8[\n", + "__________________________________________________________________________________________________\n", + "normal_left3_8 (AveragePooling2 (None, 2, 2, 88) 0 normal_bn_1_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_left4_8 (AveragePooling2 (None, 2, 2, 88) 0 adjust_bn_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_right4_8 (AveragePooling (None, 2, 2, 88) 0 adjust_bn_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 2, 2, 88) 352 separable_conv_2_normal_left5_8[0\n", + "__________________________________________________________________________________________________\n", + "normal_add_1_8 (Add) (None, 2, 2, 88) 0 separable_conv_2_bn_normal_left1_\n", + " separable_conv_2_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "normal_add_2_8 (Add) (None, 2, 2, 88) 0 separable_conv_2_bn_normal_left2_\n", + " separable_conv_2_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "normal_add_3_8 (Add) (None, 2, 2, 88) 0 normal_left3_8[0][0] \n", + " adjust_bn_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_4_8 (Add) (None, 2, 2, 88) 0 normal_left4_8[0][0] \n", + " normal_right4_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_5_8 (Add) (None, 2, 2, 88) 0 separable_conv_2_bn_normal_left5_\n", + " normal_bn_1_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_concat_8 (Concatenate) (None, 2, 2, 528) 0 adjust_bn_8[0][0] \n", + " normal_add_1_8[0][0] \n", + " normal_add_2_8[0][0] \n", + " normal_add_3_8[0][0] \n", + " normal_add_4_8[0][0] \n", + " normal_add_5_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_693 (Activation) (None, 2, 2, 528) 0 normal_concat_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_692 (Activation) (None, 2, 2, 528) 0 normal_concat_7[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_conv_1_reduce_8 (Conv (None, 2, 2, 176) 92928 activation_693[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_conv_projection_reduce_8 (None, 2, 2, 176) 92928 activation_692[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_bn_1_reduce_8 (BatchN (None, 2, 2, 176) 704 reduction_conv_1_reduce_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_bn_reduce_8 (BatchNormal (None, 2, 2, 176) 704 adjust_conv_projection_reduce_8[0\n", + "__________________________________________________________________________________________________\n", + "activation_694 (Activation) (None, 2, 2, 176) 0 reduction_bn_1_reduce_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_696 (Activation) (None, 2, 2, 176) 0 adjust_bn_reduce_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_pad_reduction_ (None, 5, 5, 176) 0 activation_694[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_pad_reduction_ (None, 7, 7, 176) 0 activation_696[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_left (None, 1, 1, 176) 35376 separable_conv_1_pad_reduction_le\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_righ (None, 1, 1, 176) 39600 separable_conv_1_pad_reduction_ri\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_l (None, 1, 1, 176) 704 separable_conv_1_reduction_left1_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_r (None, 1, 1, 176) 704 separable_conv_1_reduction_right1\n", + "__________________________________________________________________________________________________\n", + "activation_695 (Activation) (None, 1, 1, 176) 0 separable_conv_1_bn_reduction_lef\n", + "__________________________________________________________________________________________________\n", + "activation_697 (Activation) (None, 1, 1, 176) 0 separable_conv_1_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_left (None, 1, 1, 176) 35376 activation_695[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_righ (None, 1, 1, 176) 39600 activation_697[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_698 (Activation) (None, 2, 2, 176) 0 adjust_bn_reduce_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_l (None, 1, 1, 176) 704 separable_conv_2_reduction_left1_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_r (None, 1, 1, 176) 704 separable_conv_2_reduction_right1\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_pad_reduction_ (None, 7, 7, 176) 0 activation_698[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_700 (Activation) (None, 2, 2, 176) 0 adjust_bn_reduce_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_add_1_reduce_8 (Add) (None, 1, 1, 176) 0 separable_conv_2_bn_reduction_lef\n", + " separable_conv_2_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_righ (None, 1, 1, 176) 39600 separable_conv_1_pad_reduction_ri\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_pad_reduction_ (None, 5, 5, 176) 0 activation_700[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_702 (Activation) (None, 1, 1, 176) 0 reduction_add_1_reduce_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_r (None, 1, 1, 176) 704 separable_conv_1_reduction_right2\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_righ (None, 1, 1, 176) 35376 separable_conv_1_pad_reduction_ri\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_left (None, 1, 1, 176) 32560 activation_702[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_699 (Activation) (None, 1, 1, 176) 0 separable_conv_1_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_r (None, 1, 1, 176) 704 separable_conv_1_reduction_right3\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_l (None, 1, 1, 176) 704 separable_conv_1_reduction_left4_\n", + "__________________________________________________________________________________________________\n", + "reduction_pad_1_reduce_8 (ZeroP (None, 3, 3, 176) 0 reduction_bn_1_reduce_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_righ (None, 1, 1, 176) 39600 activation_699[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_701 (Activation) (None, 1, 1, 176) 0 separable_conv_1_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "activation_703 (Activation) (None, 1, 1, 176) 0 separable_conv_1_bn_reduction_lef\n", + "__________________________________________________________________________________________________\n", + "reduction_left2_reduce_8 (MaxPo (None, 1, 1, 176) 0 reduction_pad_1_reduce_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_r (None, 1, 1, 176) 704 separable_conv_2_reduction_right2\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_righ (None, 1, 1, 176) 35376 activation_701[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_left (None, 1, 1, 176) 32560 activation_703[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_relu_1_9 (Activation) (None, 2, 2, 528) 0 normal_concat_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_add_2_reduce_8 (Add) (None, 1, 1, 176) 0 reduction_left2_reduce_8[0][0] \n", + " separable_conv_2_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "reduction_left3_reduce_8 (Avera (None, 1, 1, 176) 0 reduction_pad_1_reduce_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_r (None, 1, 1, 176) 704 separable_conv_2_reduction_right3\n", + "__________________________________________________________________________________________________\n", + "reduction_left4_reduce_8 (Avera (None, 1, 1, 176) 0 reduction_add_1_reduce_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_l (None, 1, 1, 176) 704 separable_conv_2_reduction_left4_\n", + "__________________________________________________________________________________________________\n", + "reduction_right5_reduce_8 (MaxP (None, 1, 1, 176) 0 reduction_pad_1_reduce_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "zero_padding2d_15 (ZeroPadding2 (None, 3, 3, 528) 0 adjust_relu_1_9[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_add3_reduce_8 (Add) (None, 1, 1, 176) 0 reduction_left3_reduce_8[0][0] \n", + " separable_conv_2_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "add_15 (Add) (None, 1, 1, 176) 0 reduction_add_2_reduce_8[0][0] \n", + " reduction_left4_reduce_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_add4_reduce_8 (Add) (None, 1, 1, 176) 0 separable_conv_2_bn_reduction_lef\n", + " reduction_right5_reduce_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "cropping2d_15 (Cropping2D) (None, 2, 2, 528) 0 zero_padding2d_15[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_concat_reduce_8 (Conc (None, 1, 1, 704) 0 reduction_add_2_reduce_8[0][0] \n", + " reduction_add3_reduce_8[0][0] \n", + " add_15[0][0] \n", + " reduction_add4_reduce_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_avg_pool_1_9 (AveragePoo (None, 1, 1, 528) 0 adjust_relu_1_9[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_avg_pool_2_9 (AveragePoo (None, 1, 1, 528) 0 cropping2d_15[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_conv_1_9 (Conv2D) (None, 1, 1, 88) 46464 adjust_avg_pool_1_9[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_conv_2_9 (Conv2D) (None, 1, 1, 88) 46464 adjust_avg_pool_2_9[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_704 (Activation) (None, 1, 1, 704) 0 reduction_concat_reduce_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "concatenate_15 (Concatenate) (None, 1, 1, 176) 0 adjust_conv_1_9[0][0] \n", + " adjust_conv_2_9[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_conv_1_9 (Conv2D) (None, 1, 1, 176) 123904 activation_704[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_bn_9 (BatchNormalization (None, 1, 1, 176) 704 concatenate_15[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_bn_1_9 (BatchNormalizati (None, 1, 1, 176) 704 normal_conv_1_9[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_705 (Activation) (None, 1, 1, 176) 0 normal_bn_1_9[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_707 (Activation) (None, 1, 1, 176) 0 adjust_bn_9[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_709 (Activation) (None, 1, 1, 176) 0 adjust_bn_9[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_711 (Activation) (None, 1, 1, 176) 0 adjust_bn_9[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_713 (Activation) (None, 1, 1, 176) 0 normal_bn_1_9[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left1_9 (None, 1, 1, 176) 35376 activation_705[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right1_ (None, 1, 1, 176) 32560 activation_707[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left2_9 (None, 1, 1, 176) 35376 activation_709[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right2_ (None, 1, 1, 176) 32560 activation_711[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left5_9 (None, 1, 1, 176) 32560 activation_713[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 1, 1, 176) 704 separable_conv_1_normal_left1_9[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 1, 1, 176) 704 separable_conv_1_normal_right1_9[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 1, 1, 176) 704 separable_conv_1_normal_left2_9[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 1, 1, 176) 704 separable_conv_1_normal_right2_9[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 1, 1, 176) 704 separable_conv_1_normal_left5_9[0\n", + "__________________________________________________________________________________________________\n", + "activation_706 (Activation) (None, 1, 1, 176) 0 separable_conv_1_bn_normal_left1_\n", + "__________________________________________________________________________________________________\n", + "activation_708 (Activation) (None, 1, 1, 176) 0 separable_conv_1_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "activation_710 (Activation) (None, 1, 1, 176) 0 separable_conv_1_bn_normal_left2_\n", + "__________________________________________________________________________________________________\n", + "activation_712 (Activation) (None, 1, 1, 176) 0 separable_conv_1_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "activation_714 (Activation) (None, 1, 1, 176) 0 separable_conv_1_bn_normal_left5_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left1_9 (None, 1, 1, 176) 35376 activation_706[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right1_ (None, 1, 1, 176) 32560 activation_708[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left2_9 (None, 1, 1, 176) 35376 activation_710[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right2_ (None, 1, 1, 176) 32560 activation_712[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left5_9 (None, 1, 1, 176) 32560 activation_714[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 1, 1, 176) 704 separable_conv_2_normal_left1_9[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 1, 1, 176) 704 separable_conv_2_normal_right1_9[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 1, 1, 176) 704 separable_conv_2_normal_left2_9[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 1, 1, 176) 704 separable_conv_2_normal_right2_9[\n", + "__________________________________________________________________________________________________\n", + "normal_left3_9 (AveragePooling2 (None, 1, 1, 176) 0 normal_bn_1_9[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_left4_9 (AveragePooling2 (None, 1, 1, 176) 0 adjust_bn_9[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_right4_9 (AveragePooling (None, 1, 1, 176) 0 adjust_bn_9[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 1, 1, 176) 704 separable_conv_2_normal_left5_9[0\n", + "__________________________________________________________________________________________________\n", + "normal_add_1_9 (Add) (None, 1, 1, 176) 0 separable_conv_2_bn_normal_left1_\n", + " separable_conv_2_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "normal_add_2_9 (Add) (None, 1, 1, 176) 0 separable_conv_2_bn_normal_left2_\n", + " separable_conv_2_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "normal_add_3_9 (Add) (None, 1, 1, 176) 0 normal_left3_9[0][0] \n", + " adjust_bn_9[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_4_9 (Add) (None, 1, 1, 176) 0 normal_left4_9[0][0] \n", + " normal_right4_9[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_5_9 (Add) (None, 1, 1, 176) 0 separable_conv_2_bn_normal_left5_\n", + " normal_bn_1_9[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_concat_9 (Concatenate) (None, 1, 1, 1056) 0 adjust_bn_9[0][0] \n", + " normal_add_1_9[0][0] \n", + " normal_add_2_9[0][0] \n", + " normal_add_3_9[0][0] \n", + " normal_add_4_9[0][0] \n", + " normal_add_5_9[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_715 (Activation) (None, 1, 1, 704) 0 reduction_concat_reduce_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_716 (Activation) (None, 1, 1, 1056) 0 normal_concat_9[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_conv_projection_10 (Conv (None, 1, 1, 176) 123904 activation_715[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_conv_1_10 (Conv2D) (None, 1, 1, 176) 185856 activation_716[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_bn_10 (BatchNormalizatio (None, 1, 1, 176) 704 adjust_conv_projection_10[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_bn_1_10 (BatchNormalizat (None, 1, 1, 176) 704 normal_conv_1_10[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_717 (Activation) (None, 1, 1, 176) 0 normal_bn_1_10[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_719 (Activation) (None, 1, 1, 176) 0 adjust_bn_10[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_721 (Activation) (None, 1, 1, 176) 0 adjust_bn_10[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_723 (Activation) (None, 1, 1, 176) 0 adjust_bn_10[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_725 (Activation) (None, 1, 1, 176) 0 normal_bn_1_10[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left1_1 (None, 1, 1, 176) 35376 activation_717[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right1_ (None, 1, 1, 176) 32560 activation_719[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left2_1 (None, 1, 1, 176) 35376 activation_721[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right2_ (None, 1, 1, 176) 32560 activation_723[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left5_1 (None, 1, 1, 176) 32560 activation_725[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 1, 1, 176) 704 separable_conv_1_normal_left1_10[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 1, 1, 176) 704 separable_conv_1_normal_right1_10\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 1, 1, 176) 704 separable_conv_1_normal_left2_10[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 1, 1, 176) 704 separable_conv_1_normal_right2_10\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 1, 1, 176) 704 separable_conv_1_normal_left5_10[\n", + "__________________________________________________________________________________________________\n", + "activation_718 (Activation) (None, 1, 1, 176) 0 separable_conv_1_bn_normal_left1_\n", + "__________________________________________________________________________________________________\n", + "activation_720 (Activation) (None, 1, 1, 176) 0 separable_conv_1_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "activation_722 (Activation) (None, 1, 1, 176) 0 separable_conv_1_bn_normal_left2_\n", + "__________________________________________________________________________________________________\n", + "activation_724 (Activation) (None, 1, 1, 176) 0 separable_conv_1_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "activation_726 (Activation) (None, 1, 1, 176) 0 separable_conv_1_bn_normal_left5_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left1_1 (None, 1, 1, 176) 35376 activation_718[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right1_ (None, 1, 1, 176) 32560 activation_720[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left2_1 (None, 1, 1, 176) 35376 activation_722[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right2_ (None, 1, 1, 176) 32560 activation_724[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left5_1 (None, 1, 1, 176) 32560 activation_726[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 1, 1, 176) 704 separable_conv_2_normal_left1_10[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 1, 1, 176) 704 separable_conv_2_normal_right1_10\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 1, 1, 176) 704 separable_conv_2_normal_left2_10[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 1, 1, 176) 704 separable_conv_2_normal_right2_10\n", + "__________________________________________________________________________________________________\n", + "normal_left3_10 (AveragePooling (None, 1, 1, 176) 0 normal_bn_1_10[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_left4_10 (AveragePooling (None, 1, 1, 176) 0 adjust_bn_10[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_right4_10 (AveragePoolin (None, 1, 1, 176) 0 adjust_bn_10[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 1, 1, 176) 704 separable_conv_2_normal_left5_10[\n", + "__________________________________________________________________________________________________\n", + "normal_add_1_10 (Add) (None, 1, 1, 176) 0 separable_conv_2_bn_normal_left1_\n", + " separable_conv_2_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "normal_add_2_10 (Add) (None, 1, 1, 176) 0 separable_conv_2_bn_normal_left2_\n", + " separable_conv_2_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "normal_add_3_10 (Add) (None, 1, 1, 176) 0 normal_left3_10[0][0] \n", + " adjust_bn_10[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_4_10 (Add) (None, 1, 1, 176) 0 normal_left4_10[0][0] \n", + " normal_right4_10[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_5_10 (Add) (None, 1, 1, 176) 0 separable_conv_2_bn_normal_left5_\n", + " normal_bn_1_10[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_concat_10 (Concatenate) (None, 1, 1, 1056) 0 adjust_bn_10[0][0] \n", + " normal_add_1_10[0][0] \n", + " normal_add_2_10[0][0] \n", + " normal_add_3_10[0][0] \n", + " normal_add_4_10[0][0] \n", + " normal_add_5_10[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_727 (Activation) (None, 1, 1, 1056) 0 normal_concat_9[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_728 (Activation) (None, 1, 1, 1056) 0 normal_concat_10[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_conv_projection_11 (Conv (None, 1, 1, 176) 185856 activation_727[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_conv_1_11 (Conv2D) (None, 1, 1, 176) 185856 activation_728[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_bn_11 (BatchNormalizatio (None, 1, 1, 176) 704 adjust_conv_projection_11[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_bn_1_11 (BatchNormalizat (None, 1, 1, 176) 704 normal_conv_1_11[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_729 (Activation) (None, 1, 1, 176) 0 normal_bn_1_11[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_731 (Activation) (None, 1, 1, 176) 0 adjust_bn_11[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_733 (Activation) (None, 1, 1, 176) 0 adjust_bn_11[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_735 (Activation) (None, 1, 1, 176) 0 adjust_bn_11[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_737 (Activation) (None, 1, 1, 176) 0 normal_bn_1_11[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left1_1 (None, 1, 1, 176) 35376 activation_729[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right1_ (None, 1, 1, 176) 32560 activation_731[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left2_1 (None, 1, 1, 176) 35376 activation_733[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right2_ (None, 1, 1, 176) 32560 activation_735[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left5_1 (None, 1, 1, 176) 32560 activation_737[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 1, 1, 176) 704 separable_conv_1_normal_left1_11[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 1, 1, 176) 704 separable_conv_1_normal_right1_11\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 1, 1, 176) 704 separable_conv_1_normal_left2_11[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 1, 1, 176) 704 separable_conv_1_normal_right2_11\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 1, 1, 176) 704 separable_conv_1_normal_left5_11[\n", + "__________________________________________________________________________________________________\n", + "activation_730 (Activation) (None, 1, 1, 176) 0 separable_conv_1_bn_normal_left1_\n", + "__________________________________________________________________________________________________\n", + "activation_732 (Activation) (None, 1, 1, 176) 0 separable_conv_1_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "activation_734 (Activation) (None, 1, 1, 176) 0 separable_conv_1_bn_normal_left2_\n", + "__________________________________________________________________________________________________\n", + "activation_736 (Activation) (None, 1, 1, 176) 0 separable_conv_1_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "activation_738 (Activation) (None, 1, 1, 176) 0 separable_conv_1_bn_normal_left5_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left1_1 (None, 1, 1, 176) 35376 activation_730[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right1_ (None, 1, 1, 176) 32560 activation_732[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left2_1 (None, 1, 1, 176) 35376 activation_734[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right2_ (None, 1, 1, 176) 32560 activation_736[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left5_1 (None, 1, 1, 176) 32560 activation_738[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 1, 1, 176) 704 separable_conv_2_normal_left1_11[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 1, 1, 176) 704 separable_conv_2_normal_right1_11\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 1, 1, 176) 704 separable_conv_2_normal_left2_11[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 1, 1, 176) 704 separable_conv_2_normal_right2_11\n", + "__________________________________________________________________________________________________\n", + "normal_left3_11 (AveragePooling (None, 1, 1, 176) 0 normal_bn_1_11[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_left4_11 (AveragePooling (None, 1, 1, 176) 0 adjust_bn_11[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_right4_11 (AveragePoolin (None, 1, 1, 176) 0 adjust_bn_11[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 1, 1, 176) 704 separable_conv_2_normal_left5_11[\n", + "__________________________________________________________________________________________________\n", + "normal_add_1_11 (Add) (None, 1, 1, 176) 0 separable_conv_2_bn_normal_left1_\n", + " separable_conv_2_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "normal_add_2_11 (Add) (None, 1, 1, 176) 0 separable_conv_2_bn_normal_left2_\n", + " separable_conv_2_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "normal_add_3_11 (Add) (None, 1, 1, 176) 0 normal_left3_11[0][0] \n", + " adjust_bn_11[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_4_11 (Add) (None, 1, 1, 176) 0 normal_left4_11[0][0] \n", + " normal_right4_11[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_5_11 (Add) (None, 1, 1, 176) 0 separable_conv_2_bn_normal_left5_\n", + " normal_bn_1_11[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_concat_11 (Concatenate) (None, 1, 1, 1056) 0 adjust_bn_11[0][0] \n", + " normal_add_1_11[0][0] \n", + " normal_add_2_11[0][0] \n", + " normal_add_3_11[0][0] \n", + " normal_add_4_11[0][0] \n", + " normal_add_5_11[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_739 (Activation) (None, 1, 1, 1056) 0 normal_concat_10[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_740 (Activation) (None, 1, 1, 1056) 0 normal_concat_11[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_conv_projection_12 (Conv (None, 1, 1, 176) 185856 activation_739[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_conv_1_12 (Conv2D) (None, 1, 1, 176) 185856 activation_740[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_bn_12 (BatchNormalizatio (None, 1, 1, 176) 704 adjust_conv_projection_12[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_bn_1_12 (BatchNormalizat (None, 1, 1, 176) 704 normal_conv_1_12[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_741 (Activation) (None, 1, 1, 176) 0 normal_bn_1_12[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_743 (Activation) (None, 1, 1, 176) 0 adjust_bn_12[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_745 (Activation) (None, 1, 1, 176) 0 adjust_bn_12[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_747 (Activation) (None, 1, 1, 176) 0 adjust_bn_12[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_749 (Activation) (None, 1, 1, 176) 0 normal_bn_1_12[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left1_1 (None, 1, 1, 176) 35376 activation_741[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right1_ (None, 1, 1, 176) 32560 activation_743[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left2_1 (None, 1, 1, 176) 35376 activation_745[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right2_ (None, 1, 1, 176) 32560 activation_747[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left5_1 (None, 1, 1, 176) 32560 activation_749[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 1, 1, 176) 704 separable_conv_1_normal_left1_12[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 1, 1, 176) 704 separable_conv_1_normal_right1_12\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 1, 1, 176) 704 separable_conv_1_normal_left2_12[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 1, 1, 176) 704 separable_conv_1_normal_right2_12\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 1, 1, 176) 704 separable_conv_1_normal_left5_12[\n", + "__________________________________________________________________________________________________\n", + "activation_742 (Activation) (None, 1, 1, 176) 0 separable_conv_1_bn_normal_left1_\n", + "__________________________________________________________________________________________________\n", + "activation_744 (Activation) (None, 1, 1, 176) 0 separable_conv_1_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "activation_746 (Activation) (None, 1, 1, 176) 0 separable_conv_1_bn_normal_left2_\n", + "__________________________________________________________________________________________________\n", + "activation_748 (Activation) (None, 1, 1, 176) 0 separable_conv_1_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "activation_750 (Activation) (None, 1, 1, 176) 0 separable_conv_1_bn_normal_left5_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left1_1 (None, 1, 1, 176) 35376 activation_742[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right1_ (None, 1, 1, 176) 32560 activation_744[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left2_1 (None, 1, 1, 176) 35376 activation_746[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right2_ (None, 1, 1, 176) 32560 activation_748[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left5_1 (None, 1, 1, 176) 32560 activation_750[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 1, 1, 176) 704 separable_conv_2_normal_left1_12[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 1, 1, 176) 704 separable_conv_2_normal_right1_12\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 1, 1, 176) 704 separable_conv_2_normal_left2_12[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 1, 1, 176) 704 separable_conv_2_normal_right2_12\n", + "__________________________________________________________________________________________________\n", + "normal_left3_12 (AveragePooling (None, 1, 1, 176) 0 normal_bn_1_12[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_left4_12 (AveragePooling (None, 1, 1, 176) 0 adjust_bn_12[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_right4_12 (AveragePoolin (None, 1, 1, 176) 0 adjust_bn_12[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 1, 1, 176) 704 separable_conv_2_normal_left5_12[\n", + "__________________________________________________________________________________________________\n", + "normal_add_1_12 (Add) (None, 1, 1, 176) 0 separable_conv_2_bn_normal_left1_\n", + " separable_conv_2_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "normal_add_2_12 (Add) (None, 1, 1, 176) 0 separable_conv_2_bn_normal_left2_\n", + " separable_conv_2_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "normal_add_3_12 (Add) (None, 1, 1, 176) 0 normal_left3_12[0][0] \n", + " adjust_bn_12[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_4_12 (Add) (None, 1, 1, 176) 0 normal_left4_12[0][0] \n", + " normal_right4_12[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_5_12 (Add) (None, 1, 1, 176) 0 separable_conv_2_bn_normal_left5_\n", + " normal_bn_1_12[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_concat_12 (Concatenate) (None, 1, 1, 1056) 0 adjust_bn_12[0][0] \n", + " normal_add_1_12[0][0] \n", + " normal_add_2_12[0][0] \n", + " normal_add_3_12[0][0] \n", + " normal_add_4_12[0][0] \n", + " normal_add_5_12[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_751 (Activation) (None, 1, 1, 1056) 0 normal_concat_12[0][0] \n", + "__________________________________________________________________________________________________\n", + "global_average_pooling2d_5 (Glo (None, 1056) 0 activation_751[0][0] \n", + "__________________________________________________________________________________________________\n", + "dense_1 (Dense) (None, 2) 2114 global_average_pooling2d_5[0][0] \n", + "==================================================================================================\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Total params: 4,271,830\n", + "Trainable params: 4,235,092\n", + "Non-trainable params: 36,738\n", + "__________________________________________________________________________________________________\n", + "None\n", + "WARNING:tensorflow:sample_weight modes were coerced from\n", + " ...\n", + " to \n", + " ['...']\n", + "WARNING:tensorflow:sample_weight modes were coerced from\n", + " ...\n", + " to \n", + " ['...']\n", + "Train for 151.1 steps, validate for 37.7 steps\n", + "Epoch 1/50\n" + ] + } + ], "source": [ "# verbose\n", "print(\"\\nStarting to Fine Tune Model\\n\")\n", @@ -160,21 +6099,22 @@ "# layers before this number will used the pre-trained weights, layers above and including this number\n", "# will be re-trained based on the new data.\n", "for layer in model.layers[:based_model_last_block_layer_number]:\n", - " layer.trainable = False\n", + " layer.trainable = True\n", "for layer in model.layers[based_model_last_block_layer_number:]:\n", " layer.trainable = True\n", "\n", "# compile the model with a SGD/momentum optimizer\n", "# and a very slow learning rate.\n", - "model.compile(optimizer='nadam',\n", + "opt = tf.keras.optimizers.SGD(learning_rate=learn_rate, momentum = momentum)\n", + "model.compile(optimizer= opt,\n", " loss='categorical_crossentropy',\n", " metrics=['accuracy'])\n", "\n", "# save weights of best training epoch: monitor either val_loss or val_acc\n", "final_weights_path = os.path.join(os.path.abspath(model_path), 'model_weights.h5')\n", "callbacks_list = [\n", - " ModelCheckpoint(final_weights_path, monitor='val_accuracy', verbose=1, save_best_only=True),\n", - " EarlyStopping(monitor='val_accuracy', patience=patience, verbose=0)\n", + " ModelCheckpoint(final_weights_path, monitor='val_loss', verbose=1, save_best_only=True),\n", + " EarlyStopping(monitor='val_loss', patience=patience, verbose=0)\n", "]\n", "\n", "# fine-tune the model\n", @@ -193,9 +6133,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "FileNotFoundError", + "evalue": "[Errno 2] No such file or directory: '/home/dlsaavedra/Desktop/Rentadrone.cl-ai-test&SomeCode/model-definition/GPS_Panel/Classifier/model_2/model.json'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0msklearn\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmetrics\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mclassification_report\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mconfusion_matrix\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mjson_file\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mabspath\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel_path\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'model.json'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'r'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 4\u001b[0m \u001b[0mloaded_model_json\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mjson_file\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0mjson_file\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclose\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '/home/dlsaavedra/Desktop/Rentadrone.cl-ai-test&SomeCode/model-definition/GPS_Panel/Classifier/model_2/model.json'" + ] + } + ], "source": [ "from sklearn.metrics import classification_report, confusion_matrix\n", "\n", @@ -231,6 +6183,13 @@ "\n" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "code", "execution_count": null, diff --git a/GPS_Panel/Classifier/.ipynb_checkpoints/Train_Classifier_DEEP_SVC-checkpoint.ipynb b/GPS_Panel/Classifier/.ipynb_checkpoints/Train_Classifier_DEEP_SVC-checkpoint.ipynb index 2440ff6..08759a6 100644 --- a/GPS_Panel/Classifier/.ipynb_checkpoints/Train_Classifier_DEEP_SVC-checkpoint.ipynb +++ b/GPS_Panel/Classifier/.ipynb_checkpoints/Train_Classifier_DEEP_SVC-checkpoint.ipynb @@ -41,16 +41,14 @@ "\t.gitignore\n", "\tTrain_Classifier_AllDeep.ipynb\n", "\tTrain_Classifier_DEEP_SVC.ipynb\n", - "Found directory: ./.ipynb_checkpoints\n", - "\tTrain_Classifier_AllDeep-checkpoint.ipynb\n", - "\tTrain_Classifier_DEEP_SVC-checkpoint.ipynb\n", - "Found directory: ./dataset_prueba_1\n", - "Found directory: ./dataset_prueba_1/model_SVM\n", + "Found directory: ./Data_set_1\n", + "Found directory: ./Data_set_1/dataset_prueba_1\n", + "Found directory: ./Data_set_1/dataset_prueba_1/model_SVM\n", "\tembeddings.pickle\n", "\tmodel_SVM.h5\n", "\tle.pickle\n", "\trecognizer.pickle\n", - "Found directory: ./dataset_prueba_1/7- Soiling\n", + "Found directory: ./Data_set_1/dataset_prueba_1/7- Soiling\n", "\tSoling 19 Pampa Camarones M4 2019.jpg\n", "\tSoling 6 El Aguila M1 2019.jpg\n", "\tSoling 2 El Aguila M1 2019.jpg\n", @@ -72,7 +70,7 @@ "\tSoling 8 Pampa Camarones M1 2019.jpg\n", "\tSoling 22 Valle de la Luna M1 2019.jpg\n", "\tSoling 17 Pampa Camarones M4 2019.jpg\n", - "Found directory: ./dataset_prueba_1/1- Una-Mas Celdas\n", + "Found directory: ./Data_set_1/dataset_prueba_1/1- Una-Mas Celdas\n", "\tCinco-Mas Celdas 1 El Aguila M1 2019.jpg\n", "\tDos-Cuatro Celdas 14 Maria Elena M1 2018.jpg\n", "\tUna Celda 22 LLano de LLampos M4 2019.jpg\n", @@ -138,7 +136,7 @@ "\tDos-Cuatro Celdas 5 El Aguila M1 2019.jpg\n", "\tCinco-Mas Celdas 10 Maria Elena M1 2018.jpg\n", "\tDos-Cuatro Celdas 17 Maria Elena M2 2018.jpg\n", - "Found directory: ./dataset_prueba_1/4- Falla Diodos\n", + "Found directory: ./Data_set_1/dataset_prueba_1/4- Falla Diodos\n", "\tUn Diodo 25 Casuto M4 2019.jpg\n", "\tUn Diodo 7 Pampa Camarones M2 2019.jpg\n", "\tUn Diodo 19 Pampa Camarones M4 2019.jpg\n", @@ -167,7 +165,7 @@ "\tDos Diodos 1 Tiltil M2 2019.jpg\n", "\tUn Diodo 17 Pampa Camarones M3 2019.jpg\n", "\tUn Diodo 5 Pampa Camarones M2 2019.jpg\n", - "Found directory: ./dataset_prueba_1/9- No es Panel\n", + "Found directory: ./Data_set_1/dataset_prueba_1/9- No es Panel\n", "\tNo es panel 12 Casuto M1 2019.jpg\n", "\tNo es panel 5 El Aguila M1 2019.jpg\n", "\tNo es panel 16 Llano de Llampos M1 2019.jpg\n", @@ -185,7 +183,7 @@ "\tNo es panel 4 El Aguila M1 2019.jpg\n", "\tNo es panel 17 Cerro Dominador M1 2019.jpg\n", "\tNo es panel 8 Casuto M1 2019.jpg\n", - "Found directory: ./dataset_prueba_1/8- Tracker dañado\n", + "Found directory: ./Data_set_1/dataset_prueba_1/8- Tracker dañado\n", "\tTracker dañado 8 Maria Elena M3 2018.jpg\n", "\tTracker dañado 13 Maria Elena M3 2018.jpg\n", "\tTracker dañado 20 Maria Elena M13 2018.jpg\n", @@ -206,7 +204,7 @@ "\tTracker dañado 12 Maria Elena M3 2018.jpg\n", "\tTracker dañado 1 Pampa Camarones M1 2019.jpg\n", "\tTracker dañado 3 Pampa Camarones M1 2019.jpg\n", - "Found directory: ./dataset_prueba_1/0- Normal\n", + "Found directory: ./Data_set_1/dataset_prueba_1/0- Normal\n", "\tNormal 30 Valle de La Luna M1 2019.jpg\n", "\tNormal 16 Tiltil M2 2019.jpg\n", "\tNormal 3 Citrino.jpg\n", @@ -236,11 +234,11 @@ "\tNormal 26 Llano de Llampos M1 2019.jpg\n", "\tNormal 13 Tiltil M1 2019.jpg\n", "\tNormal 7 El Aguila M1 2019.jpg\n", - "Found directory: ./dataset_panel\n", + "Found directory: ./Data_set_1/dataset_prueba_0\n", "\tembeddings.pickle\n", "\tle.pickle\n", "\trecognizer.pickle\n", - "Found directory: ./dataset_panel/2- Dos-Cuatro Celdas\n", + "Found directory: ./Data_set_1/dataset_prueba_0/2- Dos-Cuatro Celdas\n", "\tDos-Cuatro Celdas 14 Maria Elena M1 2018.jpg\n", "\tDos-Cuatro Celdas 10 LLano de LLampos M3 2019.jpg\n", "\tDos-Cuatro Celdas 15 Maria Elena M2 2018.jpg\n", @@ -263,13 +261,13 @@ "\tDos-Cuatro Celdas 20 Maria Elena M3 2018.jpg\n", "\tDos-Cuatro Celdas 5 El Aguila M1 2019.jpg\n", "\tDos-Cuatro Celdas 17 Maria Elena M2 2018.jpg\n", - "Found directory: ./dataset_panel/6- Caja Conexion\n", + "Found directory: ./Data_set_1/dataset_prueba_0/6- Caja Conexion\n", "\tCaja Conexion 2 Pampa Camarones M3 2019.jpg\n", "\tCaja Conexion 3 Pampa Camarones M3 2019.jpg\n", "\tCaja Conexion 1 El Aguila M1 2019.jpg\n", "\tCaja Conexión 11 Pampa Camarones M1 2019.jpg\n", "\tCaja Conexión 12 Llano de Llampos M2 2019.jpg\n", - "Found directory: ./dataset_panel/7- Soiling\n", + "Found directory: ./Data_set_1/dataset_prueba_0/7- Soiling\n", "\tSoling 19 Pampa Camarones M4 2019.jpg\n", "\tSoling 6 El Aguila M1 2019.jpg\n", "\tSoling 2 El Aguila M1 2019.jpg\n", @@ -291,7 +289,7 @@ "\tSoling 8 Pampa Camarones M1 2019.jpg\n", "\tSoling 22 Valle de la Luna M1 2019.jpg\n", "\tSoling 17 Pampa Camarones M4 2019.jpg\n", - "Found directory: ./dataset_panel/4- Falla Diodos\n", + "Found directory: ./Data_set_1/dataset_prueba_0/4- Falla Diodos\n", "\tUn Diodo 25 Casuto M4 2019.jpg\n", "\tUn Diodo 7 Pampa Camarones M2 2019.jpg\n", "\tUn Diodo 19 Pampa Camarones M4 2019.jpg\n", @@ -320,7 +318,7 @@ "\tDos Diodos 1 Tiltil M2 2019.jpg\n", "\tUn Diodo 17 Pampa Camarones M3 2019.jpg\n", "\tUn Diodo 5 Pampa Camarones M2 2019.jpg\n", - "Found directory: ./dataset_panel/3- Cinco-Mas Celdas\n", + "Found directory: ./Data_set_1/dataset_prueba_0/3- Cinco-Mas Celdas\n", "\tCinco-Mas Celdas 1 El Aguila M1 2019.jpg\n", "\tCinco-Mas 4 Cerro Demonidor M2 2019.jpg\n", "\tCinco-Mas Celdas 5 Llano de LLampos M5 2019.jpg\n", @@ -341,7 +339,7 @@ "\tCinco-Mas Celdas 12 Maria Elena M1 2018.jpg\n", "\tCinco-Mas 2 LLano de LLampos M3 2019.jpg\n", "\tCinco-Mas Celdas 10 Maria Elena M1 2018.jpg\n", - "Found directory: ./dataset_panel/1- Una Celda\n", + "Found directory: ./Data_set_1/dataset_prueba_0/1- Una Celda\n", "\tUna Celda 22 LLano de LLampos M4 2019.jpg\n", "\tUna Celda 10 Cerro Dominador M1 2019.jpg\n", "\tUna Celda 17 Cerro Dominador M1 2019.jpg\n", @@ -365,7 +363,7 @@ "\tUna Celda 11 Cerro Dominador M1 2019.jpg\n", "\tUna Celda 6 El Aguila M1 2019.jpg\n", "\tUna Celda 8 Pampa Camarones M3 2019.jpg\n", - "Found directory: ./dataset_panel/9- No es Panel\n", + "Found directory: ./Data_set_1/dataset_prueba_0/9- No es Panel\n", "\tNo es panel 12 Casuto M1 2019.jpg\n", "\tNo es panel 5 El Aguila M1 2019.jpg\n", "\tNo es panel 16 Llano de Llampos M1 2019.jpg\n", @@ -383,7 +381,7 @@ "\tNo es panel 4 El Aguila M1 2019.jpg\n", "\tNo es panel 17 Cerro Dominador M1 2019.jpg\n", "\tNo es panel 8 Casuto M1 2019.jpg\n", - "Found directory: ./dataset_panel/5- Panel Desconectado\n", + "Found directory: ./Data_set_1/dataset_prueba_0/5- Panel Desconectado\n", "\tPanel Desconectado 24 Llano de LLampos M3 2019.jpg\n", "\tPanel Desconectado 6 Pampa Camarones M1 2019.jpg\n", "\tPanel Desconectado 19 Pampa Camarones M3 2019.jpg\n", @@ -409,7 +407,7 @@ "\tPanel Desconectado 7 Pampa Camarones M1 2019.jpg\n", "\tPanel Desconectado 2 El Aguila M2 2019.jpg\n", "\tPanel Desconectado 8 Pampa Camarones M1 2019.jpg\n", - "Found directory: ./dataset_panel/8- Tracker dañado\n", + "Found directory: ./Data_set_1/dataset_prueba_0/8- Tracker dañado\n", "\tTracker dañado 8 Maria Elena M3 2018.jpg\n", "\tTracker dañado 13 Maria Elena M3 2018.jpg\n", "\tTracker dañado 20 Maria Elena M13 2018.jpg\n", @@ -430,7 +428,7 @@ "\tTracker dañado 12 Maria Elena M3 2018.jpg\n", "\tTracker dañado 1 Pampa Camarones M1 2019.jpg\n", "\tTracker dañado 3 Pampa Camarones M1 2019.jpg\n", - "Found directory: ./dataset_panel/10- Reflejos\n", + "Found directory: ./Data_set_1/dataset_prueba_0/10- Reflejos\n", "\tReflejo 3 Citrino.jpg\n", "\tReflejo 10 Pampa Camarones M1 2019.jpg\n", "\tReflejo 4 Citrino.jpg\n", @@ -454,7 +452,7 @@ "\tReflejo 14 Pampa Camarones M1 2019.jpg\n", "\tReflejo 20 LLano de LLampos M2 2019.jpg\n", "\tReflejo 12 Pampa Camarones M1 2019.jpg\n", - "Found directory: ./dataset_panel/0- Normal\n", + "Found directory: ./Data_set_1/dataset_prueba_0/0- Normal\n", "\tNormal 30 Valle de La Luna M1 2019.jpg\n", "\tNormal 16 Tiltil M2 2019.jpg\n", "\tNormal 3 Citrino.jpg\n", @@ -484,7 +482,11963 @@ "\tNormal 26 Llano de Llampos M1 2019.jpg\n", "\tNormal 13 Tiltil M1 2019.jpg\n", "\tNormal 7 El Aguila M1 2019.jpg\n", - "Found directory: ./model\n", + "Found directory: ./.ipynb_checkpoints\n", + "\tTrain_Classifier_AllDeep-checkpoint.ipynb\n", + "\tTrain_Classifier_DEEP_SVC-checkpoint.ipynb\n", + "Found directory: ./Data_set_DogCat\n", + "Found directory: ./Data_set_DogCat/training_set\n", + "Found directory: ./Data_set_DogCat/training_set/cats\n", + "\tcat.2414.jpg\n", + "\tcat.2699.jpg\n", + "\tcat.1814.jpg\n", + "\tcat.2472.jpg\n", + "\tcat.55.jpg\n", + "\tcat.3649.jpg\n", + "\tcat.689.jpg\n", + "\tcat.2297.jpg\n", + "\tcat.268.jpg\n", + "\tcat.3808.jpg\n", + "\tcat.2971.jpg\n", + "\tcat.3950.jpg\n", + "\tcat.3786.jpg\n", + "\tcat.1068.jpg\n", + "\tcat.1717.jpg\n", + 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"\t6_Mision 12_DJI_0036.jpg\n", + "\t3_Mision 18_DJI_0011_1.jpg\n", + "\t40_Mision 47_DJI_0091.jpg\n", + "\t2_Mision 32_DJI_0029_1.jpg\n", + "\t1_Mision 47_DJI_0005.jpg\n", + "\t14_Mision 12_DJI_0036.jpg\n", + "\t1_Mision 11_DJI_0038.jpg\n", + "\t6_Mision 19_DJI_0022.jpg\n", + "\t8_Mision 10_DJI_0118.jpg\n", + "\t1_Mision 4_DJI_0046.jpg\n", + "\t6_Mision 23_DJI_0058.jpg\n", + "\t2_Mision 17_DJI_0029.jpg\n", + "\t20_Mision 12_DJI_0036.jpg\n", + "\t3_Mision 14_DJI_0005_1.jpg\n", + "\t1_Mision 33_DJI_0080.jpg\n", + "\tDiodo_1.png\n", + "\t8_Mision 16_DJI_0082.jpg\n", + "\t7_Mision 28_DJI_0060.jpg\n", + "\t16_Mision 11_DJI_0038.jpg\n", + "\t2_Mision 21_DJI_0010.jpg\n", + "\t9_Mision 13_DJI_0040.jpg\n", + "\t10_Mision 5_DJI_0075.jpg\n", + "\t10_Mision 23_DJI_0058.jpg\n", + "\t13_Mision 21_DJI_0059.jpg\n", + "\t9_Mision 32_DJI_0029.jpg\n", + "\t7_Mision 21_DJI_0010.jpg\n", + "\t25_Mision 11_DJI_0018.jpg\n", + "\t28_Mision 11_DJI_0038.jpg\n", + "\t7_Mision 19_DJI_0022.jpg\n", + "\t2_Mision 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encodings...\"\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtotal\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 27\u001b[0m \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m\"embeddings\"\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mknownEmbeddings\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"names\"\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mknownNames\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 28\u001b[0;31m \u001b[0mf\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0membeddings_output\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"wb\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 29\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwrite\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpickle\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdumps\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 30\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclose\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: './Data_set_2/Data_prueba_0/model_SVM/embeddings.pickle'" ] } ], "source": [ - "path_dataset = \"./dataset_prueba_1/\"\n", + "path_dataset = './Data_set_2/Data_prueba_0/' \n", "embeddings_output = path_dataset + \"model_SVM/embeddings.pickle\"\n", "imagePaths = list(paths.list_images(path_dataset))\n", "# initialize our lists of extracted facial embeddings and\n", @@ -720,7 +12505,7 @@ "# loop over the image paths\n", "for (i, imagePath) in enumerate(imagePaths):\n", " print(\"[INFO] processing image {}/{}\".format(i + 1,\n", - " len(imagePaths)))\n", + " len(imagePaths)), end ='\\r')\n", " name = imagePath.split(os.path.sep)[-2]\n", " Im = cv2.resize(cv2.imread(imagePath), (img_width, img_height))\n", " for im in [Im, cv2.flip(Im, -1), cv2.flip(Im, 0), cv2.flip(Im, 1)]: \n", @@ -740,7 +12525,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -751,24 +12536,16 @@ "[INFO] encoding labels...\n", "[INFO] training model...\n", "Confusion matrix, without normalization\n", - "[[24 2 1 4 0 0]\n", - " [ 1 67 6 1 0 0]\n", - " [ 2 2 24 1 0 0]\n", - " [ 5 5 0 17 0 0]\n", - " [ 0 0 0 0 20 1]\n", - " [ 1 4 0 2 6 20]]\n", + "[[1608 80]\n", + " [ 97 1987]]\n", "Normalized confusion matrix\n", - "[[0.77419355 0.06451613 0.03225806 0.12903226 0. 0. ]\n", - " [0.01333333 0.89333333 0.08 0.01333333 0. 0. ]\n", - " [0.06896552 0.06896552 0.82758621 0.03448276 0. 0. ]\n", - " [0.18518519 0.18518519 0. 0.62962963 0. 0. ]\n", - " [0. 0. 0. 0. 0.95238095 0.04761905]\n", - " [0.03030303 0.12121212 0. 0.06060606 0.18181818 0.60606061]]\n" + "[[0.95260664 0.04739336]\n", + " [0.04654511 0.95345489]]\n" ] }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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\n", 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/63Km6+c7ShoMXAF8Iu05PwR0KelI2qEZcxaw64DeDNhxezp1rOG044fw50kN/7/06NaVTh1rADjnlMOZ8sw83lr/Nlt36Uy3rbcCYOsunTnuY3vywsv5CfOtNQzZeyAvL1zFgiWrefe9jYwbP4OhRzX8Ajb0qP0Y89DTRARTZ71Kj25d2aFXT64edjKzH/oeM++/jl99/zyOPGT3TQEXYOLTc9ltYN8G/3y3BCL5tlDsVS5t2dPdlHUdWEKSdf1LEXF9ocIR8bqke0gC76h08ZR0u7uAs4AnWtCeHiSBem2a4X0oMLEF9VW02to6ht9wD2N/8g1qasTd9z/FP19ZznmnfRyAX497gj0G78DPrjmb2ro65r66nEuuvxuA3tt35zc3/DsANR1rGPvINB7/+wtlO5Zq1rFjDTcMP4PTLx1JbW1w1uc+xl679mPU2MkAnH/6kZxwxD6Mf3I2Q069lq5dOjHyu18uqe5xj03f4k6gJSr76gUVGlNqtcqlk0h6sPVZ1/+nQJl1EdEtne5L8oyhGyLiGkmDSAJwL2AVcF5ELExPjj0YEX9Mt9s0n27zYETsW2DdaJKneb5C0hu+PyJGl3LJWIet+8RWe5zRovfDsrVm6ohyN8E2U9dOml7kYZFFddlh9xh47k+LlnvxhhNbvK/maNPLrQplXS9QplvO9Apg65z5+SQnx/K3+Upj8+k2+zayrsF2OcuPaaqNZtaOlHn4oBhf42pmVUXQ6CV0lcBB18yqjnu6ZmYZquQTaQ66ZlZdPKZrZpYdIScxNzPLknu6ZmYZ8piumVlWPKZrZpadJPdC5UZdB10zqzoVHHMddM2s+viONDOzrFR4Pl0HXTOrKvX5dCuVg66ZVZnKzqfroGtmVaeCY66DrplVGflEmplZZnydrplZxhx0zcwyVMEx10HXzKqPe7pmZlmp8IQ3lZvp18ysGZIk5sVfJdUlnShprqR5kq5qpMwxkp6VNFvS34rV6Z6umVWdDq3Q1ZVUA4wEjgcWA1Ml3R8Rc3LKbAPcCpwYEQsl9Snatha3zMyswkjFXyU4FJgXEa9ExLvAGODkvDJfAsZFxEKAiFhZrFIHXTOrKkoT3hR7Ab0kTct5XZRX1U7Aopz5xemyXLsD20qaKGm6pHOKtc/DC2ZWdUocsl0dEQc3sb5QLZE33xE4CPgE0BX4u6SnIuLFxiptNOhK+mmBHby/54hLm2ismVnZtNJtwIuB/jnzOwNLC5RZHRHrgfWSJgEHAJsfdIFpzWyomVnZiOQKhlYwFdhN0mBgCXAmyRhurvuAEZI6Ap2BjwI3N1Vpo0E3Iu7InZf0oTSam5lVtNbo6EbERknDgEeBGmBURMyWdHG6/raIeEHSI8BMoA74ZUQ831S9Rcd0JR0G/AroBgyQdADw1Yj4essOycysDaj18ulGxMPAw3nLbsubvxG4sdQ6S7l64RbgU8Br6Q6eA44qdQdmZllrpUvG2kRJVy9ExKK8/xy1bdMcM7OWEa1zc0RbKSXoLpJ0OBCSOgOXAi+0bbPMzJqvkpOYlzK8cDHwDZKLgpcAB6bzZmYVp5ShhYoeXoiI1cBZGbTFzKxVVPLwQtGerqRdJD0gaZWklZLuk7RLFo0zM2sOlfAql1KGF34L3AP0A3YE/gD8ri0bZWbWEiXmXiiLUoKuIuKuiNiYvn5DE7cHm5mVU3L1QvFXuTSVe2G7dHJCmrx3DEmw/QLwUAZtMzPbfCo9SXk5NHUibTpJkK1v/Vdz1gVwfVs1ysysJdrlM9IiYnCWDTEzaw31wwuVqqQ70iTtC+wNdKlfFhF3tlWjzMxaol32dOtJuho4hiToPgwMBZ4AHHTNrCJVbsgt7eqFz5NkRV8eEeeRJOjdqk1bZWbWTBLUdFDRV7mUMrywISLqJG2U1ANYCfjmCDOrWO16eAGYlj5m+BckVzSsA55u01aZmbVABcfcknIv1Ccrvy3NkN4jIma2bbPMzJpHqKJzLzR1c8SQptZFxIy2aZKZWQuUOYtYMU31dG9qYl0Ax7VyWyraR/YawJP/GFHuZthm2PaQYeVugpVJuxzTjYhjs2yImVlrEFDTHoOumVl71e7vSDMza08cdM3MMpI8jqdyo24pT46QpC9L+m46P0DSoW3fNDOz5qnkfLql3AZ8K3AY8MV0/i1gZJu1yMyshdr1gymBj0bEEEnPAETEmvRR7GZmFUdAxwoeXigl6L4nqYb0ET2SegN1bdoqM7MWqOCYW1LQ/QlwL9BH0v+QZB37Tpu2ysysmaR2ehtwvYi4W9J0kvSOAk6JiBfavGVmZs1UwTG3pCTmA4B/AQ/kLouIhW3ZMDOz5mrv1+k+xPsPqOwCDAbmAvu0YbvMzJpFUNYk5cWUMrywX+58mn3sq40UNzMrrzJfh1vMZt+RFhEzJB3SFo0xM2sNquCnpJUypvufObMdgCHAqjZrkZlZC1TDI9i750xvJBnjHds2zTEza7l2G3TTmyK6RcSVGbXHzKzFKjnhTVOP6+kYERubemyPmVmlSR7BXu5WNK6pnu7TJOO3z0q6H/gDsL5+ZUSMa+O2mZk1S7u+Iw3YDniN5Jlo9dfrBuCga2YVp9JPpDXVCe+TXrnwPDAr/Tk7/fl8Bm0zM2uW1krtKOlESXMlzZN0VRPlDpFUK+nzxepsqqdbA3SDghe8RfHmmpmVg+jQCtfpphcSjASOBxYDUyXdHxFzCpT7EfBoKfU2FXSXRcR1zWyvmVlZiFZLeHMoMC8iXgGQNAY4GZiTV+4SkstoS7pprKmgW8GjImZmjRB0LG1Qt5ekaTnzt0fE7TnzOwGLcuYXAx9tsCtpJ+BUknNeLQ66nyilAjOzSrIZPd3VEXFwkary5Q+t3gJ8MyJqS702uNGgGxGvl1SDmVmFaaVLxhYD/XPmdwaW5pU5GBiTBtxewEmSNkbEnxqr1I9gN7Oq00pjulOB3SQNBpYAZwJfyi0QEYPf36dGAw82FXDBQdfMqowo7THnxaR35A4juSqhBhgVEbMlXZyuv6059Tromll1UevdkRYRDwMP5y0rGGwj4iul1Omga2ZVJbkjrXIvvnLQNbOqU7kh10HXzKpQBXd0HXTNrNqofebTNTNrj1rr6oW24qBrZlXHJ9LMzLKidvq4HjOz9sjDC2ZmGXNP18wsQ5Ubch10zazKCKhxT9fMLDsVHHMddM2s2ghV8ACDg66ZVR33dM3MMpJcMla5UddB18yqi9zTNTPLlG8DNjPLSJLEvNytaJyDrplVHV+9YGaWoQoeXXDQrTZ/mTKHb930R2rr6jj75MO57CsnNFgfEVx10x8Z/+RsunbpzK1Xn80Be/bftL62to5jz7mBfn168vubvwbA+d8axUsLVgCwdt0GenbryuTffiu7g9qCfOKwvfjB5Z+npkMH7rpvCrfcMb7B+p7duzLiv7/M4J178fa773HJ9XfzwsvLAHjuvmtZ9693qK2rY+PGOo4794ZyHEJFcE93M0gaBXwGWBkR+zZSphaYlbPolIiY30jZdRHRTdIgkmfSF6yzGtTW1nHlDfdw74hh7Nh3G44790aGHrUfe+7Sb1OZ8VPm8PLCVUwfdzXTnp/P5T8cw19GX7lp/W1jJrD74L68tf7tTctG/eD8TdPfuXkcPbp1zeaAtjAdOogbh5/BqcNGsHTFG/z1jiv586RZzH11+aYyl5/3KWa9uJizh/+C3Qb25cZvnsEpX//ppvWfvfj/eH3t+nI0v2JU+phuJWZAGw2cWKTMhog4MOc1v+2bVfmmz57PLv17MWjnXnTu1JHTjh/Cw3+b2aDMw3+byZmfPhRJHLLfYNa+tYHlq9cCsGTFGh57YjbnnHx4wfojgnv/MoPTP3VQmx/LluigfQbxyqLVLFjyGu9trGXc+BmcdPT+DcrsMXgHJk2dC8BLC1YwoN929N6uezmaW7kkOpTwKpeKC7oRMQl4fXO2kdRN0uOSZkiaJenkIuUHSZqclp8hqXCUaWeWrVrLTn233TS/Y99tWbZqbV6ZNxqW6bMNy1a+AcC3fzyWay89hQ6NdBOmPPMyfbbvzq4D+rRB661f754sWbFm0/zSFWvo17tngzLPv7SEzxx7IABD9h5I/x22Y8c+2wDJP8VxI4Yx4c7hnHvqEdk1vAKphFe5VNzwQom6Sno2nX4V+Dfg1Ih4U1Iv4ClJ90dENLL9SuD4iHhb0m7A74CD8wtJugi4CKD/gAGtfhCtrdDh5v9DL/SOSOKRybPotW13DtxrAE9Mf7Fg/WMfm8bpJ3zgbbJWUigHbP7ndcsd4/nB5Z9n0t1XMWfeUma+uJja2joATrzwZpavXkuvbbtx74hhvDR/OVOeeTmLpleUZHihcscX2mvQ3RARB9bPSOoEfF/SUUAdsBPQF1jeyPadgBGSDgRqgd0LFYqI24HbAQ466ODGAnjF2LHPNh/oKe3Qq2fTZVa+wQ69e3Lf48/wyORZjJ8ym3feeY+31r/NRf99B7dffy4AGzfW8uCE55hw5/BsDmYLtHTlGx/4plI/9FPvrfVvM+y632yaf+6+a1mw9DWATWVXr1nHgxNnMmSfQVtk0IXKzqdbccML+ST1l/Rs+rq4kWJnAb2Bg9JgvALo0kS1l6VlDiDp4XZuzTaXy5C9B/LywlUsWLKad9/byLjxMxh6VMMxwaFH7ceYh54mIpg661V6dOvKDr16cvWwk5n90PeYef91/Or753HkIbtvCrgAE5+ey24D+zYICta6ZsxZwK4DejNgx+3p1LGG044fwp8nNRyT79GtK5061gBwzimHM+WZeby1/m227tKZbltvBcDWXTpz3Mf25IWXl2Z+DBWjgscXKr6nGxGLgAOLFOtJcrXDe5KOBQaWUH5xRNRJOheoaYWmll3HjjXcMPwMTr90JLW1wVmf+xh77dqPUWMnA3D+6UdywhH7MP7J2Qw59Vq6dunEyO9+uaS6xz023SfQ2lhtbR3Db7iHsT/5BjU14u77n+KfryznvNM+DsCvxz3BHoN34GfXnE1tXR1zX13OJdffDUDv7bvzmxv+HYCajjWMfWQaj//9hbIdS7lV8vCCGh/2LA9JvwOOAXqR9Eavjohf5ZVZFxHdcuZ7AQ+QDBs8CxwBDI2I+YUuGUvHcccC/wImAJfk1lfIQQcdHE/+Y1orHaVlYdtDhpW7CbaZ3n525PSIaNGJg732+0jced/EouUO3XWbFu+rOSqupxsRXyyhTLe8+dXAYU2VTS8r2zedfgnI/d7tK/3NqknldnQrL+iambVEMmRbuVHXQdfMqovz6ZqZZauCY66DrplVGxW80aRSOOiaWdWp4JjroGtm1aXcuRWKcdA1s+pTwVHXQdfMqo4vGTMzy1Alj+lWfMIbM7PNkl6nW+xVUlXSiZLmSpon6aoC68+SNDN9TZF0QLE63dM1s6rTGsMLkmqAkcDxwGJgapqne05OsVeBoyNijaShJKlgP9pUve7pmllVEa3W0z0UmBcRr0TEu8AYoMFTaSJiSkTUJ6h+Cti5WKUOumZWdUpMp9tL0rSc10V51ewELMqZX5wua8wFwJ+Ltc3DC2ZWfUrrya4uktqxUC0Fc+GmebwvAD5ebKcOumZWdVopiflioH/O/M7ABx7HIWl/4JckObxfK9q21miZmVklaaWn9UwFdpM0WFJn4Ezg/gb7kQYA44CzI6LwE13zuKdrZtWnFTq6EbFR0jDgUZJHeo2KiNn1z2qMiNuA7wLbA7emSXY2FnsahYOumVWV1kxiHhEPAw/nLbstZ/pC4MLNqdNB18yqi5OYm5llq4JjroOumVUbJzE3M8tUBcdcB10zqy5OYm5mlrUKjroOumZWdZzE3MwsQx7TNTPLiqCDg66ZWZYqN+o66JpZValPYl6pHHTNrOpUcMx10DWz6uOerplZhnwbsJlZhio35DromlmV2Yyn/ZaFg66ZVR3fkWZmlqXKjbkOumZWfSo45jromlm1UWs9gr1NOOiaWVWp9DvSOpS7AWZmWxL3dM2s6lRyT9dB18yqji8ZMzPLim+OMDPLTqWfSHPQNbOq4+EFM7MMuadrZpahCo65DrpmVoUqOOo66JpZVRFU9G3Aiohyt6FdkLQKWFDudrSRXsDqcjfCSgEF2mMAAAZCSURBVFbNn9fAiOjdkgokPULyHhWzOiJObMm+msNB15A0LSIOLnc7rDT+vNo3514wM8uQg66ZWYYcdA3g9nI3wDaLP692zGO6ZmYZck/XzCxDDrpmZhly0G1HJJ0oaa6keZKuaqRMSLopZ/4KSddk1shknxMl+ZKmJkgaJWmlpOebKFMr6dmc16Amyq5Lfw5qqk4rPwfddkJSDTASGArsDXxR0t4Fir4DnCaplIvDC+3HdylmYzRQ7ML8DRFxYM5rfts3y9qag277cSgwLyJeiYh3gTHAyQXKbSQ5u31Z/gpJAyU9Lmlm+nNAuny0pB9LmgD8KJ3/maQJkl6RdHTaM3tB0uic+n4maZqk2ZKubYuDrlYRMQl4fXO2kdQt/dxmSJolqdDnn1t+kKTJafkZkg5vUaOtVTjoth87AYty5henywoZCZwlqWfe8hHAnRGxP3A38JOcdbsDn4yIy9P5bYHjSIL3A8DNwD7AfpIOTMv8V3pn1P7A0ZL2b9aRWWO65gwt3Au8DZwaEUOAY4GbpCaTDKwEjk/Lf4GGn7eVib9Kth+F/rgKXu8XEW9KuhO4FNiQs+ow4LR0+i7ghpx1f4iI2pz5ByIiJM0CVkTELABJs4FBwLPAGZIuIvk96kcy7DFzcw/MGrUhIur/wSGpE/B9SUcBdST/dPsCyxvZvhMwIv0nWUvyj9XKzD3d9mMx0D9nfmdgZU5P6OK88rcAFwAfaqLO3KC9Pm/dO+nPupzp+vmOkgYDVwCfSHvODwFdSjoS+wBJ/Zv4LOudBfQGDkqD8Qqafs8vS8scABwMdG7NNlvzOOi2H1OB3SQNltQZOBMYl3OS5bbcwhHxOnAPSeCtNyXdDpI/4Cda0J4eJIF6raS+JCf4rJkiYlFjn2WOnsDKiHhP0rHAwCLV9gSWRUQdcDZQ04pNtmZy0G0nImIjMAx4FHgBuCciZhfZ7CYapri7FDhP0kySP8L/aEF7ngOeAWYDo4Anm1vXlkjS74C/A3tIWizpgmLbkIzDHyxpGsk/zX8WKX8rcK6kp0iGFvK/zVgZ+DZgM7MMuadrZpYhB10zsww56JqZZchB18wsQw66ZmYZctC1VpOTFet5SX+QtHUL6hot6fPp9C8bSe5TX/aY5uQVkDS/UGKgxpbnlVm3mfu6RtIVm9tGqz4Outaa6rNi7Qu8CzS4syrNlLbZIuLCiJjTRJFjACdzsXbBQdfaymTgw2kvdIKk3wKzJNVIulHS1DTb2VcBlBghaY6kh4A+9RXl5udNcwrPkPRcmnFrEElwvyztZR8pqbeksek+pko6It12e0mPSXpG0s8pnM+iAUl/kjQ9zaR2Ud66m9K2PC6pd7psV0mPpNtMlrRna7yZVj2c8MZanZKcvEOBR9JFhwL7RsSraeBaGxGHSNoKeFLSY8BHgD2A/UiSuMwhudMtt97ewC+Ao9K6touI1yXdBqyLiP9Ny/0WuDkinlCSvvJRYC/gauCJiLhO0qeBBkG0Eeen++gKTJU0NiJeI8lpMSMiLpf03bTuYSRpNS+OiJckfZTkrrDjmvE2WpVy0LXW1FXSs+n0ZOBXJF/7n46IV9PlJwD714/XkuQH2A04CvhdmulsqaS/Fqj/Y8Ck+rrS/BKFfBLYOyfrYQ9J3dN9nJZu+5CkNSUc06WSTk2n+6dtfY0k8c/v0+W/AcZJ6pYe7x9y9r1VCfuwLYiDrrWmBqkIAdLgk3vPv4BLIuLRvHIn0UiqyrxtS7lvvQNwWETkprWsb0vJ971LOoYkgB8WEf+SNJHGs3pFut838t8Ds1we07WsPQp8Lc0Ni6TdJX0ImAScmY759iNJ0p3v7yTJ0gen226XLn8L6J5T7jGSr/qk5eqD4CSSRDFIGkqSqL0pPYE1acDdk6SnXa8DUN9b/xLJsMWbwKuS/i3dhyQdUGQftoVx0LWs/ZJkvHaGkgco/pzkG9e9wEvALOBnwN/yN4yIVSTjsOMkPcf7X+8fAE6tP5FGkk3t4PRE3Rzev4riWuAoSTNIhjkWFmnrIyS5g2cC1wNP5axbD+wjaTrJmO116fKzgAvS9s2m8COVbAvmLGNmZhlyT9fMLEMOumZmGXLQNTPLkIOumVmGHHTNzDLkoGtmliEHXTOzDP1/NCJZS6TAzuEAAAAASUVORK5CYII=\n", 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" ] @@ -795,18 +12572,14 @@ "output_type": "stream", "text": [ "Classification Report\n", - " precision recall f1-score support\n", + " precision recall f1-score support\n", "\n", - " 0- Normal 0.73 0.77 0.75 31\n", - "1- Una-Mas Celdas 0.84 0.89 0.86 75\n", - " 4- Falla Diodos 0.77 0.83 0.80 29\n", - " 7- Soiling 0.68 0.63 0.65 27\n", - "8- Tracker dañado 0.77 0.95 0.85 21\n", - " 9- No es Panel 0.95 0.61 0.74 33\n", + " 0-Normal 0.94 0.95 0.95 1688\n", + " 1-Falla 0.96 0.95 0.96 2084\n", "\n", - " accuracy 0.80 216\n", - " macro avg 0.79 0.78 0.78 216\n", - " weighted avg 0.80 0.80 0.79 216\n", + " accuracy 0.95 3772\n", + " macro avg 0.95 0.95 0.95 3772\n", + "weighted avg 0.95 0.95 0.95 3772\n", "\n" ] } @@ -824,7 +12597,7 @@ "le = LabelEncoder()\n", "labels = le.fit_transform(data[\"names\"])\n", "\n", - "X_train, X_test, y_train, y_test = train_test_split(data[\"embeddings\"], labels, random_state=0, test_size=0.3)\n", + "X_train, X_test, y_train, y_test = train_test_split(data[\"embeddings\"], labels, random_state=0, test_size=0.5)\n", "\n", "# train the model used to accept the 128-d embeddings of the face and\n", "# then produce the actual face recognition\n", @@ -875,7 +12648,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -883,24 +12656,16 @@ "output_type": "stream", "text": [ "Confusion matrix, without normalization\n", - "[[21 4 1 5 0 0]\n", - " [ 6 60 4 2 2 1]\n", - " [ 7 2 18 2 0 0]\n", - " [ 2 3 4 18 0 0]\n", - " [ 0 0 0 0 21 0]\n", - " [ 1 6 0 0 5 21]]\n", + "[[ 972 32]\n", + " [ 56 1204]]\n", "Normalized confusion matrix\n", - "[[0.67741935 0.12903226 0.03225806 0.16129032 0. 0. ]\n", - " [0.08 0.8 0.05333333 0.02666667 0.02666667 0.01333333]\n", - " [0.24137931 0.06896552 0.62068966 0.06896552 0. 0. ]\n", - " [0.07407407 0.11111111 0.14814815 0.66666667 0. 0. ]\n", - " [0. 0. 0. 0. 1. 0. ]\n", - " [0.03030303 0.18181818 0. 0. 0.15151515 0.63636364]]\n" + "[[0.96812749 0.03187251]\n", + " [0.04444444 0.95555556]]\n" ] }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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\n", 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\n", "text/plain": [ "
" ] @@ -927,18 +12692,14 @@ "output_type": "stream", "text": [ "Classification Report\n", - " precision recall f1-score support\n", + " precision recall f1-score support\n", "\n", - " 0- Normal 0.57 0.68 0.62 31\n", - "1- Una-Mas Celdas 0.80 0.80 0.80 75\n", - " 4- Falla Diodos 0.67 0.62 0.64 29\n", - " 7- Soiling 0.67 0.67 0.67 27\n", - "8- Tracker dañado 0.75 1.00 0.86 21\n", - " 9- No es Panel 0.95 0.64 0.76 33\n", + " 0-Normal 0.95 0.97 0.96 1004\n", + " 1-Falla 0.97 0.96 0.96 1260\n", "\n", - " accuracy 0.74 216\n", - " macro avg 0.73 0.73 0.72 216\n", - " weighted avg 0.75 0.74 0.74 216\n", + " accuracy 0.96 2264\n", + " macro avg 0.96 0.96 0.96 2264\n", + "weighted avg 0.96 0.96 0.96 2264\n", "\n" ] } @@ -977,7 +12738,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ @@ -992,7 +12753,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "metadata": {}, "outputs": [], "source": [ @@ -1003,24 +12764,64 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 40, "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "data": { + "text/plain": [ + "'0-Normal'" + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "le.classes_[0]" + ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 38, "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "data": { + "text/plain": [ + "0" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "prob = recognizer.predict_proba([X_train[0]])[0]\n", + "np.argmax(prob)" + ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 28, "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "data": { + "text/plain": [ + "(2048,)" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "X_train[0].shape" + ] }, { "cell_type": "code", diff --git a/GPS_Panel/Classifier/Train_Classifier_AllDeep.ipynb b/GPS_Panel/Classifier/Train_Classifier_AllDeep.ipynb index 5d28fb5..1216135 100644 --- a/GPS_Panel/Classifier/Train_Classifier_AllDeep.ipynb +++ b/GPS_Panel/Classifier/Train_Classifier_AllDeep.ipynb @@ -7,6 +7,7 @@ "outputs": [], "source": [ "# import the necessary packages\n", + "import matplotlib.pyplot as plt\n", "from imutils import paths\n", "import numpy as np\n", "import argparse\n", @@ -31,25540 +32,35 @@ "cell_type": "code", "execution_count": 2, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Found directory: .\n", - "\tTrain_Classifier_AllDeep.ipynb\n", - "\tTrain_Classifier_DEEP_SVC.ipynb\n", - "Found directory: ./.ipynb_checkpoints\n", - "\tTrain_Classifier_AllDeep-checkpoint.ipynb\n", - "\tTrain_Classifier_DEEP_SVC-checkpoint.ipynb\n", - "Found directory: ./dataset_prueba_1\n", - "Found directory: ./dataset_prueba_1/model_SVM\n", - "\tembeddings.pickle\n", - "\tmodel_SVM.h5\n", - "\tle.pickle\n", - "\trecognizer.pickle\n", - "Found directory: ./dataset_prueba_1/7- Soiling\n", - "\tSoling 19 Pampa Camarones M4 2019.jpg\n", - "\tSoling 6 El Aguila M1 2019.jpg\n", - "\tSoling 2 El Aguila M1 2019.jpg\n", - "\tSoling 3 El Aguila M1 2019.jpg\n", - "\tSoling 15 Pampa Camarones M3 2019.jpg\n", - "\tSoling 12 Pampa Camarones M2 2019.jpg\n", - "\tSoling 1 El Aguila M1 2019.jpg\n", - "\tSoling 20 Pampa Camarones M4 2019.jpg\n", - "\tSoling 5 El Aguila M1 2019.jpg\n", - "\tSoling 10 Pampa Camarones M1 2019.jpg\n", - "\tSoling 9 Pampa Camarones M1 2019.jpg\n", - "\tSoling 21 Cerro Dominador M1 2019.jpg\n", - "\tSoling 13 Pampa Camarones M3 2019.jpg\n", - "\tSoling 4 El Aguila M1 2019.jpg\n", - "\tSoling 18 Pampa Camarones M4 2019.jpg\n", - "\tSoling 16 Pampa Camarones M3 2019.jpg\n", - "\tSoling 7 Pampa Camarones M1 2019.jpg\n", - "\tSoling 14 Pampa Camarones M3 2019.jpg\n", - "\tSoling 8 Pampa Camarones M1 2019.jpg\n", - "\tSoling 22 Valle de la Luna M1 2019.jpg\n", - "\tSoling 17 Pampa Camarones M4 2019.jpg\n", - "Found directory: ./dataset_prueba_1/1- Una-Mas Celdas\n", - "\tCinco-Mas Celdas 1 El Aguila M1 2019.jpg\n", - "\tDos-Cuatro Celdas 14 Maria Elena M1 2018.jpg\n", - "\tUna Celda 22 LLano de LLampos M4 2019.jpg\n", - "\tCinco-Mas 4 Cerro Demonidor M2 2019.jpg\n", - "\tUna Celda 10 Cerro Dominador M1 2019.jpg\n", - "\tCinco-Mas Celdas 5 Llano de LLampos M5 2019.jpg\n", - "\tDos-Cuatro Celdas 10 LLano de LLampos M3 2019.jpg\n", - "\tUna Celda 17 Cerro Dominador M1 2019.jpg\n", - "\tUna Celda 7 Pampa Camarones M2 2019.jpg\n", - "\tCinco-Mas Celdas 19 Maria Elena M6 2018.jpg\n", - "\tUna Celda 14 Cerro Dominador M1 2019.jpg\n", - "\tDos-Cuatro Celdas 15 Maria Elena M2 2018.jpg\n", - "\tDos-Cuatro Celdas 7 El Aguila M1 2019.jpg\n", - "\tCinco-Mas Celdas 17 Maria Elena M6 2018.jpg\n", - "\tDos-Cuatro Celdas 4 El Aguila M1 2019.jpg\n", - "\tUna Celda 12 Cerro 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- "\tDos-Cuatro Celdas 19 Maria Elena M2 2018.jpg\n", - "\tUna Celda 8 Pampa Camarones M3 2019.jpg\n", - "\tDos-Cuatro Celdas 16 Maria Elena M2 2018.jpg\n", - "\tDos-Cuatro Celdas 18 Maria Elena M2 2018.jpg\n", - "\tDos-Cuatro Celdas 20 Maria Elena M3 2018.jpg\n", - "\tCinco-Mas Celdas 12 Maria Elena M1 2018.jpg\n", - "\tCinco-Mas 2 LLano de LLampos M3 2019.jpg\n", - "\tDos-Cuatro Celdas 5 El Aguila M1 2019.jpg\n", - "\tCinco-Mas Celdas 10 Maria Elena M1 2018.jpg\n", - "\tDos-Cuatro Celdas 17 Maria Elena M2 2018.jpg\n", - "Found directory: ./dataset_prueba_1/4- Falla Diodos\n", - "\tUn Diodo 25 Casuto M4 2019.jpg\n", - "\tUn Diodo 7 Pampa Camarones M2 2019.jpg\n", - "\tUn Diodo 19 Pampa Camarones M4 2019.jpg\n", - "\tUn Diodo 14 Pampa Camarones M3 2019.jpg\n", - "\tUn Diodo 18 Pampa Camarones M3 2019.jpg\n", - "\tUn Diodo 26 Lllano de LLampos M4 2019.jpg\n", - "\tDos Diodos 2 Tiltil M2 2019.jpg\n", - "\tUn Diodo 11 Pampa Camarones M2 2019.jpg\n", - "\tUn Diodo 6 Pampa Camarones M2 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panel 5 El Aguila M1 2019.jpg\n", - "\tNo es panel 16 Llano de Llampos M1 2019.jpg\n", - "\tNo es panel 9 Casuto M1 2019.jpg\n", - "\tNo es panel 13 Casuto M1 2019.jpg\n", - "\tNo es panel 3 El Aguila M1 2019.jpg\n", - "\tNo es panel 7 Casuto M1 2019.jpg\n", - "\tNo es panel 15 Casuto M1 2019.jpg\n", - "\tNo es panel 1 El Aguila M1 2019.jpg\n", - "\tNo es panel 2 El Aguila M1 2019.jpg\n", - "\tNo es panel 6 El Aguila M1 2019.jpg\n", - "\tNo es panel 11 Casuto M1 2019.jpg\n", - "\tNo es panel 10 Casuto M1 2019.jpg\n", - "\tNo es panel 14 Casuto M1 2019.jpg\n", - "\tNo es panel 4 El Aguila M1 2019.jpg\n", - "\tNo es panel 17 Cerro Dominador M1 2019.jpg\n", - "\tNo es panel 8 Casuto M1 2019.jpg\n", - "Found directory: ./dataset_prueba_1/8- Tracker dañado\n", - "\tTracker dañado 8 Maria Elena M3 2018.jpg\n", - "\tTracker dañado 13 Maria Elena M3 2018.jpg\n", - "\tTracker dañado 20 Maria Elena M13 2018.jpg\n", - "\tTracker dañado 9 Maria Elena M3 2018.jpg\n", - "\tTracker dañado 11 Maria 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Casuto M1 2019.jpg\n", - "\tNormal 12 Tiltil M1 2019.jpg\n", - "\tNormal 2 Citrino.jpg\n", - "\tNormal 15 Tiltil M1 2019.jpg\n", - "\tNormal 11 Pampa Camarones M3 2019.jpg\n", - "\tNormal 1 Citrino.jpg\n", - "\tNormal 17 Casuto M1 2019.jpg\n", - "\tNormal 21 Casuto M1 2019.jpg\n", - "\tNormal 5 El Aguila M1 2019.jpg\n", - "\tNormal 14 Tiltil M1 2019.jpg\n", - "\tNormal 6 El Aguila M1 2019.jpg\n", - "\tNormal 25 Llano de Llampos M1 2019.jpg\n", - "\tNormal 10 Pampa Camarones M1 2019.jpg\n", - "\tNormal 9 El Aguila M1 2019.jpg\n", - "\tNormal 27 Llano de Llampos M1 2019.jpg\n", - "\tNormal 19 Casuto M1 2019.jpg\n", - "\tNormal 18 Casuto M1 2019.jpg\n", - "\tNormal 8 El Aguila M1 2019.jpg\n", - "\tNormal 28 Cerro Dominado M1 2019.jpg\n", - "\tNormal 22 Casuto M1 2019.jpg\n", - "\tNormal 4 Citrino.jpg\n", - "\tNormal 24 Llano de Llampos M1 2019.jpg\n", - "\tNormal 23 Casuto M1 2019.jpg\n", - "\tNormal 26 Llano de Llampos M1 2019.jpg\n", - "\tNormal 13 Tiltil M1 2019.jpg\n", - "\tNormal 7 El Aguila M1 2019.jpg\n", - "Found directory: ./dataset_catdog\n", - "Found directory: ./dataset_catdog/train\n", - "\tcat.2414.jpg\n", - "\tcat.6120.jpg\n", - "\tcat.8346.jpg\n", - "\tcat.6718.jpg\n", - "\tcat.9209.jpg\n", - "\tcat.2699.jpg\n", - "\tcat.1814.jpg\n", - "\tcat.2472.jpg\n", - "\tcat.9271.jpg\n", - "\tcat.5866.jpg\n", - "\tcat.55.jpg\n", - "\tcat.4382.jpg\n", - "\tcat.3649.jpg\n", - "\tcat.8661.jpg\n", - "\tcat.4525.jpg\n", - "\tcat.6162.jpg\n", - "\tcat.689.jpg\n", - "\tcat.8321.jpg\n", - "\tcat.11710.jpg\n", - "\tcat.7951.jpg\n", - "\tcat.8011.jpg\n", - "\tcat.2297.jpg\n", - "\tcat.4187.jpg\n", - "\tcat.268.jpg\n", - "\tcat.12015.jpg\n", - "\tcat.4449.jpg\n", - "\tcat.3808.jpg\n", - "\tcat.2971.jpg\n", - "\tcat.12217.jpg\n", - "\tcat.5753.jpg\n", - "\tcat.3950.jpg\n", - "\tcat.5132.jpg\n", - "\tcat.3786.jpg\n", - "\tcat.11662.jpg\n", - "\tcat.9685.jpg\n", - "\tcat.1068.jpg\n", - "\tcat.1717.jpg\n", - "\tcat.5256.jpg\n", - "\tcat.3040.jpg\n", - "\tcat.6080.jpg\n", - 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"\tdog.6329.jpg\n", - "\tdog.2753.jpg\n", - "\tdog.8875.jpg\n", - "\tdog.12136.jpg\n", - "\tdog.6816.jpg\n", - "\tdog.799.jpg\n", - "\tdog.6398.jpg\n", - "\tdog.10815.jpg\n", - "\tdog.12010.jpg\n", - "\tdog.4269.jpg\n", - "\tdog.6655.jpg\n", - "\tdog.6898.jpg\n", - "\tdog.11852.jpg\n", - "\tdog.2675.jpg\n", - "\tdog.5310.jpg\n", - "\tdog.12016.jpg\n", - "\tdog.832.jpg\n", - "\tdog.4333.jpg\n", - "\tdog.4337.jpg\n", - "\tdog.3396.jpg\n", - "\tdog.9239.jpg\n", - "\tdog.8733.jpg\n", - "\tdog.11481.jpg\n", - "\tdog.7807.jpg\n", - "\tdog.546.jpg\n", - "\tdog.11055.jpg\n", - "\tdog.7260.jpg\n", - "\tdog.10339.jpg\n", - "\tdog.9606.jpg\n", - "\tdog.295.jpg\n", - "\tdog.1563.jpg\n", - "\tdog.11805.jpg\n", - "\tdog.4655.jpg\n", - "\tdog.9585.jpg\n", - "\tdog.11972.jpg\n", - "\tdog.6313.jpg\n", - "\tdog.5010.jpg\n", - "\tdog.479.jpg\n", - "\tdog.2158.jpg\n", - "\tdog.734.jpg\n", - "\tdog.3707.jpg\n", - "\tdog.6569.jpg\n", - "\tdog.3490.jpg\n", - "\tdog.12161.jpg\n", - "\tdog.1144.jpg\n", - "\tdog.4674.jpg\n", - "\tdog.829.jpg\n", - "\tdog.7518.jpg\n", - "\tdog.299.jpg\n", - "\tdog.5397.jpg\n", - "\tdog.11094.jpg\n", - "\tdog.9994.jpg\n", - "\tdog.4891.jpg\n", - "\tdog.9693.jpg\n", - "\tdog.11367.jpg\n", - "\tdog.8106.jpg\n", - "\tdog.4244.jpg\n", - "\tdog.534.jpg\n", - "\tdog.4178.jpg\n", - "\tdog.10256.jpg\n", - "\tdog.3175.jpg\n", - "\tdog.2365.jpg\n", - "\tdog.10919.jpg\n", - "\tdog.8267.jpg\n", - "\tdog.4646.jpg\n", - "\tdog.11457.jpg\n", - "\tdog.7537.jpg\n", - "\tdog.9476.jpg\n", - "\tdog.7911.jpg\n", - "\tdog.2413.jpg\n", - "\tdog.4517.jpg\n", - "\tdog.4863.jpg\n", - "\tdog.1190.jpg\n", - "\tdog.8223.jpg\n", - "\tdog.12270.jpg\n", - "\tdog.1322.jpg\n", - "\tdog.9113.jpg\n", - "\tdog.3318.jpg\n", - "\tdog.197.jpg\n", - "\tdog.8450.jpg\n", - "\tdog.3731.jpg\n", - "\tdog.7586.jpg\n", - "\tdog.10403.jpg\n", - "\tdog.3053.jpg\n", - "\tdog.1983.jpg\n", - "\tdog.1511.jpg\n", - "\tdog.2008.jpg\n", - "\tdog.9762.jpg\n", - "\tdog.72.jpg\n", - "\tdog.6078.jpg\n", - "\tdog.10987.jpg\n", - "\tdog.5352.jpg\n", - "\tdog.3828.jpg\n", - "\tdog.3388.jpg\n", - "\tdog.10960.jpg\n", - "\tdog.4928.jpg\n", - "\tdog.1392.jpg\n", - "\tdog.1501.jpg\n", - "\tdog.1140.jpg\n", - "\tdog.4921.jpg\n", - "\tdog.2314.jpg\n", - "\tdog.3527.jpg\n", - "\tdog.1230.jpg\n", - "\tdog.12123.jpg\n", - "\tdog.6664.jpg\n", - "\tdog.3924.jpg\n", - "\tdog.3456.jpg\n", - "\tdog.4471.jpg\n", - "\tdog.10751.jpg\n", - "\tdog.1419.jpg\n", - "\tdog.8386.jpg\n", - "\tdog.3390.jpg\n", - "\tdog.7533.jpg\n", - "\tdog.330.jpg\n", - "\tdog.231.jpg\n", - "\tdog.1311.jpg\n", - "\tdog.8615.jpg\n", - "\tdog.3758.jpg\n", - "\tdog.7063.jpg\n", - "\tdog.2122.jpg\n", - "\tdog.10511.jpg\n", - "\tdog.6269.jpg\n", - "\tdog.7980.jpg\n", - "\tdog.4587.jpg\n", - "\tdog.287.jpg\n", - "\tdog.8757.jpg\n", - "\tdog.12188.jpg\n", - "\tdog.4317.jpg\n", - "\tdog.1513.jpg\n", - "\tdog.7958.jpg\n", - "\tdog.8786.jpg\n", - "\tdog.5603.jpg\n", - "\tdog.5989.jpg\n", - "\tdog.28.jpg\n", - "\tdog.4685.jpg\n", - "\tdog.4070.jpg\n", - "\tdog.4462.jpg\n", - "\tdog.12287.jpg\n", - "\tdog.2803.jpg\n", - "\tdog.6015.jpg\n", - "\tdog.5893.jpg\n", - "\tdog.11156.jpg\n", - "\tdog.1455.jpg\n", - "\tdog.6807.jpg\n", - "\tdog.9068.jpg\n", - "Found directory: ./dataset_panel\n", - "\tembeddings.pickle\n", - "\tle.pickle\n", - "\trecognizer.pickle\n", - "Found directory: ./dataset_panel/2- Dos-Cuatro Celdas\n", - "\tDos-Cuatro Celdas 14 Maria Elena M1 2018.jpg\n", - "\tDos-Cuatro Celdas 10 LLano de LLampos M3 2019.jpg\n", - "\tDos-Cuatro Celdas 15 Maria Elena M2 2018.jpg\n", - "\tDos-Cuatro Celdas 7 El Aguila M1 2019.jpg\n", - "\tDos-Cuatro Celdas 4 El Aguila M1 2019.jpg\n", - "\tDos-Cuatro Celdas 11 LLano de LLampos M5 2019.jpg\n", - "\tDos-Cuatro Celdas 2 El Aguila M1 2019.jpg\n", - "\tDos-Cuatro Celdas 8 Pampa Camarones M2 2019.jpg\n", - "\tDos-Cuatro Celdas 3 El Aguila M1 2019.jpg\n", - "\tDos-Cuatro Celdas 1 El Aguila M1 2019.jpg\n", - "\tDos-Cuatro Celdas 21 Maria Elena M7 2018.jpg\n", - "\tDos-Cuatro Celdas 14 Maria Elena M2 2018.jpg\n", - "\tDos-Cuatro Celdas 12 Maria Elena M1 2018.jpg\n", - "\tDos-Cuatro Celdas 13 Maria Elena M1 2018.jpg\n", - "\tDos-Cuatro Celdas 6 El Aguila M1 2019.jpg\n", - "\tDos-Cuatro Celdas 9 Pampa Camarones M3 2019.jpg\n", - "\tDos-Cuatro Celdas 19 Maria Elena M2 2018.jpg\n", - "\tDos-Cuatro Celdas 16 Maria Elena M2 2018.jpg\n", - "\tDos-Cuatro Celdas 18 Maria Elena M2 2018.jpg\n", - "\tDos-Cuatro Celdas 20 Maria Elena M3 2018.jpg\n", - "\tDos-Cuatro Celdas 5 El Aguila M1 2019.jpg\n", - "\tDos-Cuatro Celdas 17 Maria Elena M2 2018.jpg\n", - "Found directory: ./dataset_panel/6- Caja Conexion\n", - "\tCaja Conexion 2 Pampa Camarones M3 2019.jpg\n", - "\tCaja Conexion 3 Pampa Camarones M3 2019.jpg\n", - "\tCaja Conexion 1 El Aguila M1 2019.jpg\n", - "\tCaja Conexión 11 Pampa Camarones M1 2019.jpg\n", - "\tCaja Conexión 12 Llano de Llampos M2 2019.jpg\n", - "Found directory: ./dataset_panel/7- Soiling\n", - "\tSoling 19 Pampa Camarones M4 2019.jpg\n", - "\tSoling 6 El Aguila M1 2019.jpg\n", - "\tSoling 2 El Aguila M1 2019.jpg\n", - "\tSoling 3 El Aguila M1 2019.jpg\n", - "\tSoling 15 Pampa Camarones M3 2019.jpg\n", - "\tSoling 12 Pampa Camarones M2 2019.jpg\n", - "\tSoling 1 El Aguila M1 2019.jpg\n", - "\tSoling 20 Pampa Camarones M4 2019.jpg\n", - "\tSoling 5 El Aguila M1 2019.jpg\n", - "\tSoling 10 Pampa Camarones M1 2019.jpg\n", - "\tSoling 9 Pampa Camarones M1 2019.jpg\n", - "\tSoling 21 Cerro Dominador M1 2019.jpg\n", - "\tSoling 13 Pampa Camarones M3 2019.jpg\n", - "\tSoling 4 El Aguila M1 2019.jpg\n", - "\tSoling 18 Pampa Camarones M4 2019.jpg\n", - "\tSoling 16 Pampa Camarones M3 2019.jpg\n", - "\tSoling 7 Pampa Camarones M1 2019.jpg\n", - "\tSoling 14 Pampa Camarones M3 2019.jpg\n", - "\tSoling 8 Pampa Camarones M1 2019.jpg\n", - "\tSoling 22 Valle de la Luna M1 2019.jpg\n", - "\tSoling 17 Pampa Camarones M4 2019.jpg\n", - "Found directory: ./dataset_panel/4- Falla Diodos\n", - "\tUn Diodo 25 Casuto M4 2019.jpg\n", - "\tUn Diodo 7 Pampa Camarones M2 2019.jpg\n", - "\tUn Diodo 19 Pampa Camarones M4 2019.jpg\n", - "\tUn Diodo 14 Pampa Camarones M3 2019.jpg\n", - "\tUn Diodo 18 Pampa Camarones M3 2019.jpg\n", - "\tUn Diodo 26 Lllano de LLampos M4 2019.jpg\n", - "\tDos Diodos 2 Tiltil M2 2019.jpg\n", - "\tUn Diodo 11 Pampa Camarones M2 2019.jpg\n", - "\tUn Diodo 6 Pampa Camarones M2 2019.jpg\n", - "\tUn Diodo 22 Tiltil M4 2019.jpg\n", - "\tUn Diodo 1 El Aguila M1 2019.jpg\n", - "\tUn Diodo 23 Tiltil M4 2019.jpg\n", - "\tUn Diodo 24 Casuto M4 2019.jpg\n", - "\tUn Diodo 21 Tiltil M4 2019.jpg\n", - "\tUn Diodo 3 Pampa Camarones M1 2019.jpg\n", - "\tUn Diodo 9 Pampa Camarones M2 2019.jpg\n", - "\tUn Diodo 16 Pampa Camarones M3 2019.jpg\n", - "\tUn Diodo 15 Pampa Camarones M3 2019.jpg\n", - "\tUn Diodo 4 Pampa Camarones M1 2019.jpg\n", - "\tUn Diodo 13 Pampa Camarones M3 2019.jpg\n", - "\tUn Diodo 12 Pampa Camarones M3 2019.jpg\n", - "\tUn Diodo 1 Pampa Camarones M1 2019.jpg\n", - "\tUn Diodo 8 Pampa Camarones M2 2019.jpg\n", - "\tUn Diodo 20 Pampa Camarones M4 2019.jpg\n", - "\tUn Diodo 10 Pampa Camarones M2 2019.jpg\n", - "\tDos Diodos 1 Tiltil M2 2019.jpg\n", - "\tUn Diodo 17 Pampa Camarones M3 2019.jpg\n", - "\tUn Diodo 5 Pampa Camarones M2 2019.jpg\n", - "Found directory: ./dataset_panel/3- Cinco-Mas Celdas\n", - "\tCinco-Mas Celdas 1 El Aguila M1 2019.jpg\n", - "\tCinco-Mas 4 Cerro Demonidor M2 2019.jpg\n", - "\tCinco-Mas Celdas 5 Llano de LLampos M5 2019.jpg\n", - "\tCinco-Mas Celdas 19 Maria Elena M6 2018.jpg\n", - "\tCinco-Mas Celdas 17 Maria Elena M6 2018.jpg\n", - "\tCinco-Mas Celdas 20 Maria Elena M6 2018.jpg\n", - "\tCinco-Mas Celdas 11 Maria Elena M1 2018.jpg\n", - "\tCinco-Mas Celdas 18 Maria Elena M6 2018.jpg\n", - "\tCinco-Mas Celdas 15 Maria Elena M3 2018.jpg\n", - "\tCinco-Mas Celdas 14 Maria Elena M3 2018.jpg\n", - "\tCinco-Mas Celdas 9 Maria Elena M1 2018.jpg\n", - "\tCinco-Mas Celdas 7 Maria Elena M1 2018.jpg\n", - "\tCinco-Mas Celdas 6 Maria Elena M1 2018.jpg\n", - "\tCinco-Mas Celdas 16 Maria Elena M6 2018.jpg\n", - "\tCinco-Mas Celdas 8 Maria Elena M1 2018.jpg\n", - "\tCinco-Mas 3 LLano de LLampos M3 2019.jpg\n", - "\tCinco-Mas Celdas 13 Maria Elena M3 2018.jpg\n", - "\tCinco-Mas Celdas 12 Maria Elena M1 2018.jpg\n", - "\tCinco-Mas 2 LLano de LLampos M3 2019.jpg\n", - "\tCinco-Mas Celdas 10 Maria Elena M1 2018.jpg\n", - "Found directory: ./dataset_panel/1- Una Celda\n", - "\tUna Celda 22 LLano de LLampos M4 2019.jpg\n", - "\tUna Celda 10 Cerro Dominador M1 2019.jpg\n", - "\tUna Celda 17 Cerro Dominador M1 2019.jpg\n", - "\tUna Celda 7 Pampa Camarones M2 2019.jpg\n", - "\tUna Celda 14 Cerro Dominador M1 2019.jpg\n", - "\tUna Celda 12 Cerro Dominador M1 2019.jpg\n", - "\tUna Celda 2 - El Aguila M1 2019.jpg\n", - "\tUna Celda 3 El Aguila M1 2019.jpg\n", - "\tUna Celda 18 Cerro Dominador M1 2019.jpg\n", - "\tUna Celda 15 Cerro Dominador M1 2019.jpg\n", - "\tUna Celda 19 Cerro Dominador M1 2019.jpg\n", - "\tUna Celda 1 - Citrino.jpg\n", - "\tUna Celda 23 Valle de la Luna M1 2019.jpg\n", - "\tUna Celda 21 Cerro Dominador M2 2019.jpg\n", - "\tUna Celda 20 Cerro Dominador M2 2019.jpg\n", - "\tUna Celda 9 Pampa Camarones M4 2019.jpg\n", - "\tUna Celda 5 El Aguila M1 2019.jpg\n", - "\tUna Celda 13 Cerro Dominador M1 2019.jpg\n", - "\tUna Celda 16 Cerro Dominador M1 2019.jpg\n", - "\tUna Celda 4 El Aguila M1 2019.jpg\n", - "\tUna Celda 11 Cerro Dominador M1 2019.jpg\n", - "\tUna Celda 6 El Aguila M1 2019.jpg\n", - "\tUna Celda 8 Pampa Camarones M3 2019.jpg\n", - "Found directory: ./dataset_panel/9- No es Panel\n", - "\tNo es panel 12 Casuto M1 2019.jpg\n", - "\tNo es panel 5 El Aguila M1 2019.jpg\n", - "\tNo es panel 16 Llano de Llampos M1 2019.jpg\n", - "\tNo es panel 9 Casuto M1 2019.jpg\n", - "\tNo es panel 13 Casuto M1 2019.jpg\n", - "\tNo es panel 3 El Aguila M1 2019.jpg\n", - "\tNo es panel 7 Casuto M1 2019.jpg\n", - "\tNo es panel 15 Casuto M1 2019.jpg\n", - "\tNo es panel 1 El Aguila M1 2019.jpg\n", - "\tNo es panel 2 El Aguila M1 2019.jpg\n", - "\tNo es panel 6 El Aguila M1 2019.jpg\n", - "\tNo es panel 11 Casuto M1 2019.jpg\n", - "\tNo es panel 10 Casuto M1 2019.jpg\n", - "\tNo es panel 14 Casuto M1 2019.jpg\n", - "\tNo es panel 4 El Aguila M1 2019.jpg\n", - "\tNo es panel 17 Cerro Dominador M1 2019.jpg\n", - "\tNo es panel 8 Casuto M1 2019.jpg\n", - "Found directory: ./dataset_panel/5- Panel Desconectado\n", - "\tPanel Desconectado 24 Llano de LLampos M3 2019.jpg\n", - "\tPanel Desconectado 6 Pampa Camarones M1 2019.jpg\n", - "\tPanel Desconectado 19 Pampa Camarones M3 2019.jpg\n", - "\tPanel Desconectado 9 Pampa Camarones M2 2019.jpg\n", - "\tPanel Desconectado 12 Pampa Camarones M3 2019.jpg\n", - "\tPanel Desconectado 10 Pampa Camarones M2 2019.jpg\n", - "\tPanel Desconectado 21 Pampa Camarones M3 2019.jpg\n", - "\tPanel Desconectado 4 Pampa Camarones M1 2019.jpg\n", - "\tPanel Desconectado 25 Llano de LLampos M3 2019.jpg\n", - "\tPanel Desconectado 23 Llano de LLampos M2 2019.jpg\n", - "\tPanel Desconectado 20 Pampa Camarones M3 2019.jpg\n", - "\tPanel Desconectado 11 Pampa Camarones M2 2019.jpg\n", - "\tPanel Desconectado 15 Pampa Camarones M3 2019.jpg\n", - "\tPanel Desconectado 1 El Aguila M2 2019.jpg\n", - "\tPanel Desconectado 16 Pampa Camarones M3 2019.jpg\n", - "\tPanel Desconectado 14 Pampa Camarones M3 2019.jpg\n", - "\tPanel Desconectado 18 Pampa Camarones M3 2019.jpg\n", - "\tPanel Desconectado 22 Tiltil M2 2019.jpg\n", - "\tPanel Desconectado 13 Pampa Camarones M3 2019.jpg\n", - "\tPanel Desconectado 17 Pampa Camarones M3 2019.jpg\n", - "\tPanel Desconectado 3 Pampa Camarones M1 2019.jpg\n", - "\tPanel Desconectado 5 Pampa Camarones M1 2019.jpg\n", - "\tPanel Desconectado 7 Pampa Camarones M1 2019.jpg\n", - "\tPanel Desconectado 2 El Aguila M2 2019.jpg\n", - "\tPanel Desconectado 8 Pampa Camarones M1 2019.jpg\n", - "Found directory: ./dataset_panel/8- Tracker dañado\n", - "\tTracker dañado 8 Maria Elena M3 2018.jpg\n", - "\tTracker dañado 13 Maria Elena M3 2018.jpg\n", - "\tTracker dañado 20 Maria Elena M13 2018.jpg\n", - "\tTracker dañado 9 Maria Elena M3 2018.jpg\n", - "\tTracker dañado 11 Maria Elena M3 2018.jpg\n", - "\tTracker dañado 2 Pampa Camarones M1 2019.jpg\n", - "\tTracker dañado 19 Maria Elena M13 2018.jpg\n", - "\tTracker dañado 10 Maria Elena M3 2018.jpg\n", - "\tTracker dañado 4 Pampa Camarones M1 2019.jpg\n", - "\tTracker dañado 15 Maria Elena M13 2018.jpg\n", - "\tTracker dañado 17 Maria Elena M13 2018.jpg\n", - "\tTracker dañado 7 Pampa Camarones M1 2019.jpg\n", - "\tTracker dañado 5 Pampa Camarones M1 2019.jpg\n", - "\tTracker dañado 6 Pampa Camarones M1 2019.jpg\n", - "\tTracker dañado 18 Maria Elena M13 2018.jpg\n", - "\tTracker dañado 13 Maria Elena M13 2018.jpg\n", - "\tTracker dañado 16 Maria Elena M13 2018.jpg\n", - "\tTracker dañado 12 Maria Elena M3 2018.jpg\n", - "\tTracker dañado 1 Pampa Camarones M1 2019.jpg\n", - "\tTracker dañado 3 Pampa Camarones M1 2019.jpg\n", - "Found directory: ./dataset_panel/10- Reflejos\n", - "\tReflejo 3 Citrino.jpg\n", - "\tReflejo 10 Pampa Camarones M1 2019.jpg\n", - "\tReflejo 4 Citrino.jpg\n", - "\tReflejo 11 Pampa Camarones M1 2019.jpg\n", - "\tReflejo 23 Maria Elena M3 2018.jpg\n", - "\tReflejo 22 LLano de LLampos M2 2019.jpg\n", - "\tReflejo 18 LLano de LLampos M2 2019.jpg\n", - "\tReflejo 5 El Aguila M1 2019.jpg\n", - "\tReflejo 21 LLano de LLampos M2 2019.jpg\n", - "\tReflejo 7 Pampa Camarones M1 2019.jpg\n", - "\tReflejo 2 Citrino.jpg\n", - "\tReflejo 16 Pampa Camarones M2 2019.jpg\n", - "\tReflejo 6 Pampa Camarones M1 2019.jpg\n", - "\tReflejo 8 Pampa Camarones M1 2019.jpg\n", - "\tReflejo 19 LLano de LLampos M2 2019.jpg\n", - "\tReflejo 15 Pampa Camarones M1 2019.jpg\n", - "\tReflejo 9 Pampa Camarones M1 2019.jpg\n", - "\tReflejo 13 Pampa Camarones M1 2019.jpg\n", - "\tReflejo 17 Pampa Camarones M2 2019.jpg\n", - "\tReflejo 1 Citrino.jpg\n", - "\tReflejo 14 Pampa Camarones M1 2019.jpg\n", - "\tReflejo 20 LLano de LLampos M2 2019.jpg\n", - "\tReflejo 12 Pampa Camarones M1 2019.jpg\n", - "Found directory: ./dataset_panel/0- Normal\n", - "\tNormal 30 Valle de La Luna M1 2019.jpg\n", - "\tNormal 16 Tiltil M2 2019.jpg\n", - "\tNormal 3 Citrino.jpg\n", - "\tNormal 20 Casuto M1 2019.jpg\n", - "\tNormal 12 Tiltil M1 2019.jpg\n", - "\tNormal 2 Citrino.jpg\n", - "\tNormal 15 Tiltil M1 2019.jpg\n", - "\tNormal 11 Pampa Camarones M3 2019.jpg\n", - "\tNormal 1 Citrino.jpg\n", - "\tNormal 17 Casuto M1 2019.jpg\n", - "\tNormal 21 Casuto M1 2019.jpg\n", - "\tNormal 5 El Aguila M1 2019.jpg\n", - "\tNormal 14 Tiltil M1 2019.jpg\n", - "\tNormal 6 El Aguila M1 2019.jpg\n", - "\tNormal 25 Llano de Llampos M1 2019.jpg\n", - "\tNormal 10 Pampa Camarones M1 2019.jpg\n", - "\tNormal 9 El Aguila M1 2019.jpg\n", - "\tNormal 27 Llano de Llampos M1 2019.jpg\n", - "\tNormal 19 Casuto M1 2019.jpg\n", - "\tNormal 18 Casuto M1 2019.jpg\n", - "\tNormal 8 El Aguila M1 2019.jpg\n", - "\tNormal 28 Cerro Dominado M1 2019.jpg\n", - "\tNormal 22 Casuto M1 2019.jpg\n", - "\tNormal 4 Citrino.jpg\n", - "\tNormal 24 Llano de Llampos M1 2019.jpg\n", - "\tNormal 23 Casuto M1 2019.jpg\n", - "\tNormal 26 Llano de Llampos M1 2019.jpg\n", - "\tNormal 13 Tiltil M1 2019.jpg\n", - "\tNormal 7 El Aguila M1 2019.jpg\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Found directory: ./model\n", - "\tmodel.json\n", - "\ttop_model_weights.h5\n", - "\tmodel_weights.h5\n", - "Found directory: ./preview\n" - ] - } - ], + "outputs": [], "source": [ - "\n", - "# Set the directory you want to start from\n", - "rootDir = '.'\n", - "for dirName, subdirList, fileList in os.walk(rootDir):\n", - " print('Found directory: %s' % dirName)\n", - " for fname in fileList:\n", - " print('\\t%s' % fname)\n", - " \n", "\n", "# load our serialized face detector from disk\n", "# fix seed for reproducible results (only works on CPU, not GPU)\n", - "seed = 1\n", + "seed = 10\n", "np.random.seed(seed=seed)\n", "tf.random.set_seed(seed=seed)\n", "\n", "# hyper parameters for model\n", - "nb_classes = 5 # number of classes\n", - "based_model_last_block_layer_number = 126 # value is based on based model selected.\n", - "img_width, img_height = 224, 224 # change based on the shape/structure of your images\n", - "batch_size = 2 # try 4, 8, 16, 32, 64, 128, 256 dependent on CPU/GPU memory capacity (powers of 2 values).\n", - "nb_epoch = 100 # number of iteration the algorithm gets trained.\n", + "nb_classes = 2 # number of classes\n", + "\n", + "img_width, img_height = 32, 64 # change based on the shape/structure of your images\n", + "batch_size = 4 # try 4, 8, 16, 32, 64, 128, 256 dependent on CPU/GPU memory capacity (powers of 2 values).\n", + "nb_epoch = 500 # number of iteration the algorithm gets trained.\n", "learn_rate = 1e-4 # sgd learning rate\n", "momentum = .9 # sgd momentum to avoid local minimum\n", - "transformation_ratio = .0001 # how aggressive will be the data augmentation/transformation\n", - "patience = 10\n", + "rotation_ratio = 10 # how aggressive will be the data augmentation/transformation\n", + "zoom_range = .05\n", + "width_shift_range=0.05\n", + "height_shift_range=0.05\n", + "shear_range=0.05\n", + "fill_mode='nearest'\n", "\n", - "train_data_dir = './dataset_prueba_1/' # Inside, each class should have it's own folder\n", + "patience = int(nb_epoch/3)\n", + "\n", + "train_data_dir = './Data_set_2/Data_prueba_0/' # Inside, each class should have it's own folder\n", "#validation_data_dir = './dataset/' # each class should have it's own folder\n", - "model_path = './model/'" + "model_path = './model_2/'" ] }, { @@ -25580,398 +76,1728 @@ "__________________________________________________________________________________________________\n", "Layer (type) Output Shape Param # Connected to \n", "==================================================================================================\n", - "input_1 (InputLayer) [(None, 224, 224, 3) 0 \n", + "input_1 (InputLayer) [(None, 32, 64, 1)] 0 \n", "__________________________________________________________________________________________________\n", - "block1_conv1 (Conv2D) (None, 111, 111, 32) 864 input_1[0][0] \n", + "stem_conv1 (Conv2D) (None, 15, 31, 32) 288 input_1[0][0] \n", "__________________________________________________________________________________________________\n", - "block1_conv1_bn (BatchNormaliza (None, 111, 111, 32) 128 block1_conv1[0][0] \n", + "stem_bn1 (BatchNormalization) (None, 15, 31, 32) 128 stem_conv1[0][0] \n", "__________________________________________________________________________________________________\n", - "block1_conv1_act (Activation) (None, 111, 111, 32) 0 block1_conv1_bn[0][0] \n", + "activation (Activation) (None, 15, 31, 32) 0 stem_bn1[0][0] \n", "__________________________________________________________________________________________________\n", - "block1_conv2 (Conv2D) (None, 109, 109, 64) 18432 block1_conv1_act[0][0] \n", + "reduction_conv_1_stem_1 (Conv2D (None, 15, 31, 11) 352 activation[0][0] \n", "__________________________________________________________________________________________________\n", - "block1_conv2_bn (BatchNormaliza (None, 109, 109, 64) 256 block1_conv2[0][0] \n", + "reduction_bn_1_stem_1 (BatchNor (None, 15, 31, 11) 44 reduction_conv_1_stem_1[0][0] \n", "__________________________________________________________________________________________________\n", - "block1_conv2_act (Activation) (None, 109, 109, 64) 0 block1_conv2_bn[0][0] \n", + "activation_1 (Activation) (None, 15, 31, 11) 0 reduction_bn_1_stem_1[0][0] \n", "__________________________________________________________________________________________________\n", - "block2_sepconv1 (SeparableConv2 (None, 109, 109, 128 8768 block1_conv2_act[0][0] \n", + "activation_3 (Activation) (None, 15, 31, 32) 0 stem_bn1[0][0] \n", "__________________________________________________________________________________________________\n", - "block2_sepconv1_bn (BatchNormal (None, 109, 109, 128 512 block2_sepconv1[0][0] \n", + "separable_conv_1_pad_reduction_ (None, 19, 35, 11) 0 activation_1[0][0] \n", "__________________________________________________________________________________________________\n", - "block2_sepconv2_act (Activation (None, 109, 109, 128 0 block2_sepconv1_bn[0][0] \n", + "separable_conv_1_pad_reduction_ (None, 21, 37, 32) 0 activation_3[0][0] \n", "__________________________________________________________________________________________________\n", - "block2_sepconv2 (SeparableConv2 (None, 109, 109, 128 17536 block2_sepconv2_act[0][0] \n", + "separable_conv_1_reduction_left (None, 8, 16, 11) 396 separable_conv_1_pad_reduction_le\n", "__________________________________________________________________________________________________\n", - "block2_sepconv2_bn (BatchNormal (None, 109, 109, 128 512 block2_sepconv2[0][0] \n", + "separable_conv_1_reduction_righ (None, 8, 16, 11) 1920 separable_conv_1_pad_reduction_ri\n", "__________________________________________________________________________________________________\n", - "conv2d (Conv2D) (None, 55, 55, 128) 8192 block1_conv2_act[0][0] \n", + "separable_conv_1_bn_reduction_l (None, 8, 16, 11) 44 separable_conv_1_reduction_left1_\n", "__________________________________________________________________________________________________\n", - "block2_pool (MaxPooling2D) (None, 55, 55, 128) 0 block2_sepconv2_bn[0][0] \n", + "separable_conv_1_bn_reduction_r (None, 8, 16, 11) 44 separable_conv_1_reduction_right1\n", "__________________________________________________________________________________________________\n", - "batch_normalization (BatchNorma (None, 55, 55, 128) 512 conv2d[0][0] \n", + "activation_2 (Activation) (None, 8, 16, 11) 0 separable_conv_1_bn_reduction_lef\n", "__________________________________________________________________________________________________\n", - "add (Add) (None, 55, 55, 128) 0 block2_pool[0][0] \n", - " batch_normalization[0][0] \n", + "activation_4 (Activation) (None, 8, 16, 11) 0 separable_conv_1_bn_reduction_rig\n", "__________________________________________________________________________________________________\n", - "block3_sepconv1_act (Activation (None, 55, 55, 128) 0 add[0][0] \n", + "separable_conv_2_reduction_left (None, 8, 16, 11) 396 activation_2[0][0] \n", "__________________________________________________________________________________________________\n", - "block3_sepconv1 (SeparableConv2 (None, 55, 55, 256) 33920 block3_sepconv1_act[0][0] \n", + "separable_conv_2_reduction_righ (None, 8, 16, 11) 660 activation_4[0][0] \n", "__________________________________________________________________________________________________\n", - "block3_sepconv1_bn (BatchNormal (None, 55, 55, 256) 1024 block3_sepconv1[0][0] \n", + "activation_5 (Activation) (None, 15, 31, 32) 0 stem_bn1[0][0] \n", "__________________________________________________________________________________________________\n", - "block3_sepconv2_act (Activation (None, 55, 55, 256) 0 block3_sepconv1_bn[0][0] \n", + "separable_conv_2_bn_reduction_l (None, 8, 16, 11) 44 separable_conv_2_reduction_left1_\n", "__________________________________________________________________________________________________\n", - "block3_sepconv2 (SeparableConv2 (None, 55, 55, 256) 67840 block3_sepconv2_act[0][0] \n", + "separable_conv_2_bn_reduction_r (None, 8, 16, 11) 44 separable_conv_2_reduction_right1\n", "__________________________________________________________________________________________________\n", - "block3_sepconv2_bn (BatchNormal (None, 55, 55, 256) 1024 block3_sepconv2[0][0] \n", + "separable_conv_1_pad_reduction_ (None, 21, 37, 32) 0 activation_5[0][0] \n", "__________________________________________________________________________________________________\n", - "conv2d_1 (Conv2D) (None, 28, 28, 256) 32768 add[0][0] \n", + "activation_7 (Activation) (None, 15, 31, 32) 0 stem_bn1[0][0] \n", "__________________________________________________________________________________________________\n", - "block3_pool (MaxPooling2D) (None, 28, 28, 256) 0 block3_sepconv2_bn[0][0] \n", + "reduction_add_1_stem_1 (Add) (None, 8, 16, 11) 0 separable_conv_2_bn_reduction_lef\n", + " separable_conv_2_bn_reduction_rig\n", "__________________________________________________________________________________________________\n", - "batch_normalization_1 (BatchNor (None, 28, 28, 256) 1024 conv2d_1[0][0] \n", + "separable_conv_1_reduction_righ (None, 8, 16, 11) 1920 separable_conv_1_pad_reduction_ri\n", "__________________________________________________________________________________________________\n", - "add_1 (Add) (None, 28, 28, 256) 0 block3_pool[0][0] \n", - " batch_normalization_1[0][0] \n", + "separable_conv_1_pad_reduction_ (None, 19, 35, 32) 0 activation_7[0][0] \n", "__________________________________________________________________________________________________\n", - "block4_sepconv1_act (Activation (None, 28, 28, 256) 0 add_1[0][0] \n", + "activation_9 (Activation) (None, 8, 16, 11) 0 reduction_add_1_stem_1[0][0] \n", "__________________________________________________________________________________________________\n", - "block4_sepconv1 (SeparableConv2 (None, 28, 28, 728) 188672 block4_sepconv1_act[0][0] \n", + "separable_conv_1_bn_reduction_r (None, 8, 16, 11) 44 separable_conv_1_reduction_right2\n", "__________________________________________________________________________________________________\n", - "block4_sepconv1_bn (BatchNormal (None, 28, 28, 728) 2912 block4_sepconv1[0][0] \n", + "separable_conv_1_reduction_righ (None, 8, 16, 11) 1152 separable_conv_1_pad_reduction_ri\n", "__________________________________________________________________________________________________\n", - "block4_sepconv2_act (Activation (None, 28, 28, 728) 0 block4_sepconv1_bn[0][0] \n", + "separable_conv_1_reduction_left (None, 8, 16, 11) 220 activation_9[0][0] \n", "__________________________________________________________________________________________________\n", - "block4_sepconv2 (SeparableConv2 (None, 28, 28, 728) 536536 block4_sepconv2_act[0][0] \n", + "activation_6 (Activation) (None, 8, 16, 11) 0 separable_conv_1_bn_reduction_rig\n", "__________________________________________________________________________________________________\n", - "block4_sepconv2_bn (BatchNormal (None, 28, 28, 728) 2912 block4_sepconv2[0][0] \n", + "separable_conv_1_bn_reduction_r (None, 8, 16, 11) 44 separable_conv_1_reduction_right3\n", "__________________________________________________________________________________________________\n", - "conv2d_2 (Conv2D) (None, 14, 14, 728) 186368 add_1[0][0] \n", + "separable_conv_1_bn_reduction_l (None, 8, 16, 11) 44 separable_conv_1_reduction_left4_\n", "__________________________________________________________________________________________________\n", - "block4_pool (MaxPooling2D) (None, 14, 14, 728) 0 block4_sepconv2_bn[0][0] \n", + "reduction_pad_1_stem_1 (ZeroPad (None, 17, 33, 11) 0 reduction_bn_1_stem_1[0][0] \n", "__________________________________________________________________________________________________\n", - "batch_normalization_2 (BatchNor (None, 14, 14, 728) 2912 conv2d_2[0][0] \n", + "separable_conv_2_reduction_righ (None, 8, 16, 11) 660 activation_6[0][0] \n", "__________________________________________________________________________________________________\n", - "add_2 (Add) (None, 14, 14, 728) 0 block4_pool[0][0] \n", - " batch_normalization_2[0][0] \n", + "activation_8 (Activation) (None, 8, 16, 11) 0 separable_conv_1_bn_reduction_rig\n", "__________________________________________________________________________________________________\n", - "block5_sepconv1_act (Activation (None, 14, 14, 728) 0 add_2[0][0] \n", + "activation_10 (Activation) (None, 8, 16, 11) 0 separable_conv_1_bn_reduction_lef\n", "__________________________________________________________________________________________________\n", - "block5_sepconv1 (SeparableConv2 (None, 14, 14, 728) 536536 block5_sepconv1_act[0][0] \n", + "reduction_left2_stem_1 (MaxPool (None, 8, 16, 11) 0 reduction_pad_1_stem_1[0][0] \n", "__________________________________________________________________________________________________\n", - "block5_sepconv1_bn (BatchNormal (None, 14, 14, 728) 2912 block5_sepconv1[0][0] \n", + "separable_conv_2_bn_reduction_r (None, 8, 16, 11) 44 separable_conv_2_reduction_right2\n", "__________________________________________________________________________________________________\n", - "block5_sepconv2_act (Activation (None, 14, 14, 728) 0 block5_sepconv1_bn[0][0] \n", + "separable_conv_2_reduction_righ (None, 8, 16, 11) 396 activation_8[0][0] \n", "__________________________________________________________________________________________________\n", - "block5_sepconv2 (SeparableConv2 (None, 14, 14, 728) 536536 block5_sepconv2_act[0][0] \n", + "separable_conv_2_reduction_left (None, 8, 16, 11) 220 activation_10[0][0] \n", "__________________________________________________________________________________________________\n", - "block5_sepconv2_bn (BatchNormal (None, 14, 14, 728) 2912 block5_sepconv2[0][0] \n", + "adjust_relu_1_stem_2 (Activatio (None, 15, 31, 32) 0 stem_bn1[0][0] \n", "__________________________________________________________________________________________________\n", - "block5_sepconv3_act (Activation (None, 14, 14, 728) 0 block5_sepconv2_bn[0][0] \n", + "reduction_add_2_stem_1 (Add) (None, 8, 16, 11) 0 reduction_left2_stem_1[0][0] \n", + " separable_conv_2_bn_reduction_rig\n", "__________________________________________________________________________________________________\n", - "block5_sepconv3 (SeparableConv2 (None, 14, 14, 728) 536536 block5_sepconv3_act[0][0] \n", + "reduction_left3_stem_1 (Average (None, 8, 16, 11) 0 reduction_pad_1_stem_1[0][0] \n", "__________________________________________________________________________________________________\n", - "block5_sepconv3_bn (BatchNormal (None, 14, 14, 728) 2912 block5_sepconv3[0][0] \n", + "separable_conv_2_bn_reduction_r (None, 8, 16, 11) 44 separable_conv_2_reduction_right3\n", "__________________________________________________________________________________________________\n", - "add_3 (Add) (None, 14, 14, 728) 0 block5_sepconv3_bn[0][0] \n", + "reduction_left4_stem_1 (Average (None, 8, 16, 11) 0 reduction_add_1_stem_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_l (None, 8, 16, 11) 44 separable_conv_2_reduction_left4_\n", + "__________________________________________________________________________________________________\n", + "reduction_right5_stem_1 (MaxPoo (None, 8, 16, 11) 0 reduction_pad_1_stem_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "zero_padding2d (ZeroPadding2D) (None, 16, 32, 32) 0 adjust_relu_1_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_add3_stem_1 (Add) (None, 8, 16, 11) 0 reduction_left3_stem_1[0][0] \n", + " separable_conv_2_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "add (Add) (None, 8, 16, 11) 0 reduction_add_2_stem_1[0][0] \n", + " reduction_left4_stem_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_add4_stem_1 (Add) (None, 8, 16, 11) 0 separable_conv_2_bn_reduction_lef\n", + " reduction_right5_stem_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "cropping2d (Cropping2D) (None, 15, 31, 32) 0 zero_padding2d[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_concat_stem_1 (Concat (None, 8, 16, 44) 0 reduction_add_2_stem_1[0][0] \n", + " reduction_add3_stem_1[0][0] \n", + " add[0][0] \n", + " reduction_add4_stem_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_avg_pool_1_stem_2 (Avera (None, 8, 16, 32) 0 adjust_relu_1_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_avg_pool_2_stem_2 (Avera (None, 8, 16, 32) 0 cropping2d[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_11 (Activation) (None, 8, 16, 44) 0 reduction_concat_stem_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_conv_1_stem_2 (Conv2D) (None, 8, 16, 11) 352 adjust_avg_pool_1_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_conv_2_stem_2 (Conv2D) (None, 8, 16, 11) 352 adjust_avg_pool_2_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_conv_1_stem_2 (Conv2D (None, 8, 16, 22) 968 activation_11[0][0] \n", + "__________________________________________________________________________________________________\n", + "concatenate (Concatenate) (None, 8, 16, 22) 0 adjust_conv_1_stem_2[0][0] \n", + " adjust_conv_2_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_bn_1_stem_2 (BatchNor (None, 8, 16, 22) 88 reduction_conv_1_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_bn_stem_2 (BatchNormaliz (None, 8, 16, 22) 88 concatenate[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_12 (Activation) (None, 8, 16, 22) 0 reduction_bn_1_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_14 (Activation) (None, 8, 16, 22) 0 adjust_bn_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_pad_reduction_ (None, 11, 19, 22) 0 activation_12[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_pad_reduction_ (None, 13, 21, 22) 0 activation_14[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_left (None, 4, 8, 22) 1034 separable_conv_1_pad_reduction_le\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_righ (None, 4, 8, 22) 1562 separable_conv_1_pad_reduction_ri\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_l (None, 4, 8, 22) 88 separable_conv_1_reduction_left1_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_r (None, 4, 8, 22) 88 separable_conv_1_reduction_right1\n", + "__________________________________________________________________________________________________\n", + "activation_13 (Activation) (None, 4, 8, 22) 0 separable_conv_1_bn_reduction_lef\n", + "__________________________________________________________________________________________________\n", + "activation_15 (Activation) (None, 4, 8, 22) 0 separable_conv_1_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_left (None, 4, 8, 22) 1034 activation_13[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_righ (None, 4, 8, 22) 1562 activation_15[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_16 (Activation) (None, 8, 16, 22) 0 adjust_bn_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_l (None, 4, 8, 22) 88 separable_conv_2_reduction_left1_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_r (None, 4, 8, 22) 88 separable_conv_2_reduction_right1\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_pad_reduction_ (None, 13, 21, 22) 0 activation_16[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_18 (Activation) (None, 8, 16, 22) 0 adjust_bn_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_add_1_stem_2 (Add) (None, 4, 8, 22) 0 separable_conv_2_bn_reduction_lef\n", + " separable_conv_2_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_righ (None, 4, 8, 22) 1562 separable_conv_1_pad_reduction_ri\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_pad_reduction_ (None, 11, 19, 22) 0 activation_18[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_20 (Activation) (None, 4, 8, 22) 0 reduction_add_1_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_r (None, 4, 8, 22) 88 separable_conv_1_reduction_right2\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_righ (None, 4, 8, 22) 1034 separable_conv_1_pad_reduction_ri\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_left (None, 4, 8, 22) 682 activation_20[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_17 (Activation) (None, 4, 8, 22) 0 separable_conv_1_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_r (None, 4, 8, 22) 88 separable_conv_1_reduction_right3\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_l (None, 4, 8, 22) 88 separable_conv_1_reduction_left4_\n", + "__________________________________________________________________________________________________\n", + "reduction_pad_1_stem_2 (ZeroPad (None, 9, 17, 22) 0 reduction_bn_1_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_righ (None, 4, 8, 22) 1562 activation_17[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_19 (Activation) (None, 4, 8, 22) 0 separable_conv_1_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "activation_21 (Activation) (None, 4, 8, 22) 0 separable_conv_1_bn_reduction_lef\n", + "__________________________________________________________________________________________________\n", + "reduction_left2_stem_2 (MaxPool (None, 4, 8, 22) 0 reduction_pad_1_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_r (None, 4, 8, 22) 88 separable_conv_2_reduction_right2\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_righ (None, 4, 8, 22) 1034 activation_19[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_left (None, 4, 8, 22) 682 activation_21[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_relu_1_0 (Activation) (None, 8, 16, 44) 0 reduction_concat_stem_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_add_2_stem_2 (Add) (None, 4, 8, 22) 0 reduction_left2_stem_2[0][0] \n", + " separable_conv_2_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "reduction_left3_stem_2 (Average (None, 4, 8, 22) 0 reduction_pad_1_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_r (None, 4, 8, 22) 88 separable_conv_2_reduction_right3\n", + "__________________________________________________________________________________________________\n", + "reduction_left4_stem_2 (Average (None, 4, 8, 22) 0 reduction_add_1_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_l (None, 4, 8, 22) 88 separable_conv_2_reduction_left4_\n", + "__________________________________________________________________________________________________\n", + "reduction_right5_stem_2 (MaxPoo (None, 4, 8, 22) 0 reduction_pad_1_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "zero_padding2d_1 (ZeroPadding2D (None, 9, 17, 44) 0 adjust_relu_1_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_add3_stem_2 (Add) (None, 4, 8, 22) 0 reduction_left3_stem_2[0][0] \n", + " separable_conv_2_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "add_1 (Add) (None, 4, 8, 22) 0 reduction_add_2_stem_2[0][0] \n", + " reduction_left4_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_add4_stem_2 (Add) (None, 4, 8, 22) 0 separable_conv_2_bn_reduction_lef\n", + " reduction_right5_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "cropping2d_1 (Cropping2D) (None, 8, 16, 44) 0 zero_padding2d_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_concat_stem_2 (Concat (None, 4, 8, 88) 0 reduction_add_2_stem_2[0][0] \n", + " reduction_add3_stem_2[0][0] \n", + " add_1[0][0] \n", + " reduction_add4_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_avg_pool_1_0 (AveragePoo (None, 4, 8, 44) 0 adjust_relu_1_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_avg_pool_2_0 (AveragePoo (None, 4, 8, 44) 0 cropping2d_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_conv_1_0 (Conv2D) (None, 4, 8, 22) 968 adjust_avg_pool_1_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_conv_2_0 (Conv2D) (None, 4, 8, 22) 968 adjust_avg_pool_2_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_22 (Activation) (None, 4, 8, 88) 0 reduction_concat_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "concatenate_1 (Concatenate) (None, 4, 8, 44) 0 adjust_conv_1_0[0][0] \n", + " adjust_conv_2_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_conv_1_0 (Conv2D) (None, 4, 8, 44) 3872 activation_22[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_bn_0 (BatchNormalization (None, 4, 8, 44) 176 concatenate_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_bn_1_0 (BatchNormalizati (None, 4, 8, 44) 176 normal_conv_1_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_23 (Activation) (None, 4, 8, 44) 0 normal_bn_1_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_25 (Activation) (None, 4, 8, 44) 0 adjust_bn_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_27 (Activation) (None, 4, 8, 44) 0 adjust_bn_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_29 (Activation) (None, 4, 8, 44) 0 adjust_bn_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_31 (Activation) (None, 4, 8, 44) 0 normal_bn_1_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left1_0 (None, 4, 8, 44) 3036 activation_23[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right1_ (None, 4, 8, 44) 2332 activation_25[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left2_0 (None, 4, 8, 44) 3036 activation_27[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right2_ (None, 4, 8, 44) 2332 activation_29[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left5_0 (None, 4, 8, 44) 2332 activation_31[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 4, 8, 44) 176 separable_conv_1_normal_left1_0[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 4, 8, 44) 176 separable_conv_1_normal_right1_0[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 4, 8, 44) 176 separable_conv_1_normal_left2_0[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 4, 8, 44) 176 separable_conv_1_normal_right2_0[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 4, 8, 44) 176 separable_conv_1_normal_left5_0[0\n", + "__________________________________________________________________________________________________\n", + "activation_24 (Activation) (None, 4, 8, 44) 0 separable_conv_1_bn_normal_left1_\n", + "__________________________________________________________________________________________________\n", + "activation_26 (Activation) (None, 4, 8, 44) 0 separable_conv_1_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "activation_28 (Activation) (None, 4, 8, 44) 0 separable_conv_1_bn_normal_left2_\n", + "__________________________________________________________________________________________________\n", + "activation_30 (Activation) (None, 4, 8, 44) 0 separable_conv_1_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "activation_32 (Activation) (None, 4, 8, 44) 0 separable_conv_1_bn_normal_left5_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left1_0 (None, 4, 8, 44) 3036 activation_24[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right1_ (None, 4, 8, 44) 2332 activation_26[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left2_0 (None, 4, 8, 44) 3036 activation_28[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right2_ (None, 4, 8, 44) 2332 activation_30[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left5_0 (None, 4, 8, 44) 2332 activation_32[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 4, 8, 44) 176 separable_conv_2_normal_left1_0[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 4, 8, 44) 176 separable_conv_2_normal_right1_0[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 4, 8, 44) 176 separable_conv_2_normal_left2_0[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 4, 8, 44) 176 separable_conv_2_normal_right2_0[\n", + "__________________________________________________________________________________________________\n", + "normal_left3_0 (AveragePooling2 (None, 4, 8, 44) 0 normal_bn_1_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_left4_0 (AveragePooling2 (None, 4, 8, 44) 0 adjust_bn_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_right4_0 (AveragePooling (None, 4, 8, 44) 0 adjust_bn_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 4, 8, 44) 176 separable_conv_2_normal_left5_0[0\n", + "__________________________________________________________________________________________________\n", + "normal_add_1_0 (Add) (None, 4, 8, 44) 0 separable_conv_2_bn_normal_left1_\n", + " separable_conv_2_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "normal_add_2_0 (Add) (None, 4, 8, 44) 0 separable_conv_2_bn_normal_left2_\n", + " separable_conv_2_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "normal_add_3_0 (Add) (None, 4, 8, 44) 0 normal_left3_0[0][0] \n", + " adjust_bn_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_4_0 (Add) (None, 4, 8, 44) 0 normal_left4_0[0][0] \n", + " normal_right4_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_5_0 (Add) (None, 4, 8, 44) 0 separable_conv_2_bn_normal_left5_\n", + " normal_bn_1_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_concat_0 (Concatenate) (None, 4, 8, 264) 0 adjust_bn_0[0][0] \n", + " normal_add_1_0[0][0] \n", + " normal_add_2_0[0][0] \n", + " normal_add_3_0[0][0] \n", + " normal_add_4_0[0][0] \n", + " normal_add_5_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_33 (Activation) (None, 4, 8, 88) 0 reduction_concat_stem_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_34 (Activation) (None, 4, 8, 264) 0 normal_concat_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_conv_projection_1 (Conv2 (None, 4, 8, 44) 3872 activation_33[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_conv_1_1 (Conv2D) (None, 4, 8, 44) 11616 activation_34[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_bn_1 (BatchNormalization (None, 4, 8, 44) 176 adjust_conv_projection_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_bn_1_1 (BatchNormalizati (None, 4, 8, 44) 176 normal_conv_1_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_35 (Activation) (None, 4, 8, 44) 0 normal_bn_1_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_37 (Activation) (None, 4, 8, 44) 0 adjust_bn_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_39 (Activation) (None, 4, 8, 44) 0 adjust_bn_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_41 (Activation) (None, 4, 8, 44) 0 adjust_bn_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_43 (Activation) (None, 4, 8, 44) 0 normal_bn_1_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left1_1 (None, 4, 8, 44) 3036 activation_35[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right1_ (None, 4, 8, 44) 2332 activation_37[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left2_1 (None, 4, 8, 44) 3036 activation_39[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right2_ (None, 4, 8, 44) 2332 activation_41[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left5_1 (None, 4, 8, 44) 2332 activation_43[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 4, 8, 44) 176 separable_conv_1_normal_left1_1[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 4, 8, 44) 176 separable_conv_1_normal_right1_1[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 4, 8, 44) 176 separable_conv_1_normal_left2_1[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 4, 8, 44) 176 separable_conv_1_normal_right2_1[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 4, 8, 44) 176 separable_conv_1_normal_left5_1[0\n", + "__________________________________________________________________________________________________\n", + "activation_36 (Activation) (None, 4, 8, 44) 0 separable_conv_1_bn_normal_left1_\n", + "__________________________________________________________________________________________________\n", + "activation_38 (Activation) (None, 4, 8, 44) 0 separable_conv_1_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "activation_40 (Activation) (None, 4, 8, 44) 0 separable_conv_1_bn_normal_left2_\n", + "__________________________________________________________________________________________________\n", + "activation_42 (Activation) (None, 4, 8, 44) 0 separable_conv_1_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "activation_44 (Activation) (None, 4, 8, 44) 0 separable_conv_1_bn_normal_left5_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left1_1 (None, 4, 8, 44) 3036 activation_36[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right1_ (None, 4, 8, 44) 2332 activation_38[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left2_1 (None, 4, 8, 44) 3036 activation_40[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right2_ (None, 4, 8, 44) 2332 activation_42[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left5_1 (None, 4, 8, 44) 2332 activation_44[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 4, 8, 44) 176 separable_conv_2_normal_left1_1[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 4, 8, 44) 176 separable_conv_2_normal_right1_1[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 4, 8, 44) 176 separable_conv_2_normal_left2_1[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 4, 8, 44) 176 separable_conv_2_normal_right2_1[\n", + "__________________________________________________________________________________________________\n", + "normal_left3_1 (AveragePooling2 (None, 4, 8, 44) 0 normal_bn_1_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_left4_1 (AveragePooling2 (None, 4, 8, 44) 0 adjust_bn_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_right4_1 (AveragePooling (None, 4, 8, 44) 0 adjust_bn_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 4, 8, 44) 176 separable_conv_2_normal_left5_1[0\n", + "__________________________________________________________________________________________________\n", + "normal_add_1_1 (Add) (None, 4, 8, 44) 0 separable_conv_2_bn_normal_left1_\n", + " separable_conv_2_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "normal_add_2_1 (Add) (None, 4, 8, 44) 0 separable_conv_2_bn_normal_left2_\n", + " separable_conv_2_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "normal_add_3_1 (Add) (None, 4, 8, 44) 0 normal_left3_1[0][0] \n", + " adjust_bn_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_4_1 (Add) (None, 4, 8, 44) 0 normal_left4_1[0][0] \n", + " normal_right4_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_5_1 (Add) (None, 4, 8, 44) 0 separable_conv_2_bn_normal_left5_\n", + " normal_bn_1_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_concat_1 (Concatenate) (None, 4, 8, 264) 0 adjust_bn_1[0][0] \n", + " normal_add_1_1[0][0] \n", + " normal_add_2_1[0][0] \n", + " normal_add_3_1[0][0] \n", + " normal_add_4_1[0][0] \n", + " normal_add_5_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_45 (Activation) (None, 4, 8, 264) 0 normal_concat_0[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_46 (Activation) (None, 4, 8, 264) 0 normal_concat_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_conv_projection_2 (Conv2 (None, 4, 8, 44) 11616 activation_45[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_conv_1_2 (Conv2D) (None, 4, 8, 44) 11616 activation_46[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_bn_2 (BatchNormalization (None, 4, 8, 44) 176 adjust_conv_projection_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_bn_1_2 (BatchNormalizati (None, 4, 8, 44) 176 normal_conv_1_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_47 (Activation) (None, 4, 8, 44) 0 normal_bn_1_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_49 (Activation) (None, 4, 8, 44) 0 adjust_bn_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_51 (Activation) (None, 4, 8, 44) 0 adjust_bn_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_53 (Activation) (None, 4, 8, 44) 0 adjust_bn_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_55 (Activation) (None, 4, 8, 44) 0 normal_bn_1_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left1_2 (None, 4, 8, 44) 3036 activation_47[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right1_ (None, 4, 8, 44) 2332 activation_49[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left2_2 (None, 4, 8, 44) 3036 activation_51[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right2_ (None, 4, 8, 44) 2332 activation_53[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left5_2 (None, 4, 8, 44) 2332 activation_55[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 4, 8, 44) 176 separable_conv_1_normal_left1_2[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 4, 8, 44) 176 separable_conv_1_normal_right1_2[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 4, 8, 44) 176 separable_conv_1_normal_left2_2[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 4, 8, 44) 176 separable_conv_1_normal_right2_2[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 4, 8, 44) 176 separable_conv_1_normal_left5_2[0\n", + "__________________________________________________________________________________________________\n", + "activation_48 (Activation) (None, 4, 8, 44) 0 separable_conv_1_bn_normal_left1_\n", + "__________________________________________________________________________________________________\n", + "activation_50 (Activation) (None, 4, 8, 44) 0 separable_conv_1_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "activation_52 (Activation) (None, 4, 8, 44) 0 separable_conv_1_bn_normal_left2_\n", + "__________________________________________________________________________________________________\n", + "activation_54 (Activation) (None, 4, 8, 44) 0 separable_conv_1_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "activation_56 (Activation) (None, 4, 8, 44) 0 separable_conv_1_bn_normal_left5_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left1_2 (None, 4, 8, 44) 3036 activation_48[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right1_ (None, 4, 8, 44) 2332 activation_50[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left2_2 (None, 4, 8, 44) 3036 activation_52[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right2_ (None, 4, 8, 44) 2332 activation_54[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left5_2 (None, 4, 8, 44) 2332 activation_56[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 4, 8, 44) 176 separable_conv_2_normal_left1_2[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 4, 8, 44) 176 separable_conv_2_normal_right1_2[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 4, 8, 44) 176 separable_conv_2_normal_left2_2[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 4, 8, 44) 176 separable_conv_2_normal_right2_2[\n", + "__________________________________________________________________________________________________\n", + "normal_left3_2 (AveragePooling2 (None, 4, 8, 44) 0 normal_bn_1_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_left4_2 (AveragePooling2 (None, 4, 8, 44) 0 adjust_bn_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_right4_2 (AveragePooling (None, 4, 8, 44) 0 adjust_bn_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 4, 8, 44) 176 separable_conv_2_normal_left5_2[0\n", + "__________________________________________________________________________________________________\n", + "normal_add_1_2 (Add) (None, 4, 8, 44) 0 separable_conv_2_bn_normal_left1_\n", + " separable_conv_2_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "normal_add_2_2 (Add) (None, 4, 8, 44) 0 separable_conv_2_bn_normal_left2_\n", + " separable_conv_2_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "normal_add_3_2 (Add) (None, 4, 8, 44) 0 normal_left3_2[0][0] \n", + " adjust_bn_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_4_2 (Add) (None, 4, 8, 44) 0 normal_left4_2[0][0] \n", + " normal_right4_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_5_2 (Add) (None, 4, 8, 44) 0 separable_conv_2_bn_normal_left5_\n", + " normal_bn_1_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_concat_2 (Concatenate) (None, 4, 8, 264) 0 adjust_bn_2[0][0] \n", + " normal_add_1_2[0][0] \n", + " normal_add_2_2[0][0] \n", + " normal_add_3_2[0][0] \n", + " normal_add_4_2[0][0] \n", + " normal_add_5_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_57 (Activation) (None, 4, 8, 264) 0 normal_concat_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_58 (Activation) (None, 4, 8, 264) 0 normal_concat_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_conv_projection_3 (Conv2 (None, 4, 8, 44) 11616 activation_57[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_conv_1_3 (Conv2D) (None, 4, 8, 44) 11616 activation_58[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_bn_3 (BatchNormalization (None, 4, 8, 44) 176 adjust_conv_projection_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_bn_1_3 (BatchNormalizati (None, 4, 8, 44) 176 normal_conv_1_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_59 (Activation) (None, 4, 8, 44) 0 normal_bn_1_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_61 (Activation) (None, 4, 8, 44) 0 adjust_bn_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_63 (Activation) (None, 4, 8, 44) 0 adjust_bn_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_65 (Activation) (None, 4, 8, 44) 0 adjust_bn_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_67 (Activation) (None, 4, 8, 44) 0 normal_bn_1_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left1_3 (None, 4, 8, 44) 3036 activation_59[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right1_ (None, 4, 8, 44) 2332 activation_61[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left2_3 (None, 4, 8, 44) 3036 activation_63[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right2_ (None, 4, 8, 44) 2332 activation_65[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left5_3 (None, 4, 8, 44) 2332 activation_67[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 4, 8, 44) 176 separable_conv_1_normal_left1_3[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 4, 8, 44) 176 separable_conv_1_normal_right1_3[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 4, 8, 44) 176 separable_conv_1_normal_left2_3[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 4, 8, 44) 176 separable_conv_1_normal_right2_3[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 4, 8, 44) 176 separable_conv_1_normal_left5_3[0\n", + "__________________________________________________________________________________________________\n", + "activation_60 (Activation) (None, 4, 8, 44) 0 separable_conv_1_bn_normal_left1_\n", + "__________________________________________________________________________________________________\n", + "activation_62 (Activation) (None, 4, 8, 44) 0 separable_conv_1_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "activation_64 (Activation) (None, 4, 8, 44) 0 separable_conv_1_bn_normal_left2_\n", + "__________________________________________________________________________________________________\n", + "activation_66 (Activation) (None, 4, 8, 44) 0 separable_conv_1_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "activation_68 (Activation) (None, 4, 8, 44) 0 separable_conv_1_bn_normal_left5_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left1_3 (None, 4, 8, 44) 3036 activation_60[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right1_ (None, 4, 8, 44) 2332 activation_62[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left2_3 (None, 4, 8, 44) 3036 activation_64[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right2_ (None, 4, 8, 44) 2332 activation_66[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left5_3 (None, 4, 8, 44) 2332 activation_68[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 4, 8, 44) 176 separable_conv_2_normal_left1_3[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 4, 8, 44) 176 separable_conv_2_normal_right1_3[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 4, 8, 44) 176 separable_conv_2_normal_left2_3[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 4, 8, 44) 176 separable_conv_2_normal_right2_3[\n", + "__________________________________________________________________________________________________\n", + "normal_left3_3 (AveragePooling2 (None, 4, 8, 44) 0 normal_bn_1_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_left4_3 (AveragePooling2 (None, 4, 8, 44) 0 adjust_bn_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_right4_3 (AveragePooling (None, 4, 8, 44) 0 adjust_bn_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 4, 8, 44) 176 separable_conv_2_normal_left5_3[0\n", + "__________________________________________________________________________________________________\n", + "normal_add_1_3 (Add) (None, 4, 8, 44) 0 separable_conv_2_bn_normal_left1_\n", + " separable_conv_2_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "normal_add_2_3 (Add) (None, 4, 8, 44) 0 separable_conv_2_bn_normal_left2_\n", + " separable_conv_2_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "normal_add_3_3 (Add) (None, 4, 8, 44) 0 normal_left3_3[0][0] \n", + " adjust_bn_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_4_3 (Add) (None, 4, 8, 44) 0 normal_left4_3[0][0] \n", + " normal_right4_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_5_3 (Add) (None, 4, 8, 44) 0 separable_conv_2_bn_normal_left5_\n", + " normal_bn_1_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_concat_3 (Concatenate) (None, 4, 8, 264) 0 adjust_bn_3[0][0] \n", + " normal_add_1_3[0][0] \n", + " normal_add_2_3[0][0] \n", + " normal_add_3_3[0][0] \n", + " normal_add_4_3[0][0] \n", + " normal_add_5_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_70 (Activation) (None, 4, 8, 264) 0 normal_concat_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_69 (Activation) (None, 4, 8, 264) 0 normal_concat_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_conv_1_reduce_4 (Conv (None, 4, 8, 88) 23232 activation_70[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_conv_projection_reduce_4 (None, 4, 8, 88) 23232 activation_69[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_bn_1_reduce_4 (BatchN (None, 4, 8, 88) 352 reduction_conv_1_reduce_4[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_bn_reduce_4 (BatchNormal (None, 4, 8, 88) 352 adjust_conv_projection_reduce_4[0\n", + "__________________________________________________________________________________________________\n", + "activation_71 (Activation) (None, 4, 8, 88) 0 reduction_bn_1_reduce_4[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_73 (Activation) (None, 4, 8, 88) 0 adjust_bn_reduce_4[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_pad_reduction_ (None, 7, 11, 88) 0 activation_71[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_pad_reduction_ (None, 9, 13, 88) 0 activation_73[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_left (None, 2, 4, 88) 9944 separable_conv_1_pad_reduction_le\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_righ (None, 2, 4, 88) 12056 separable_conv_1_pad_reduction_ri\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_l (None, 2, 4, 88) 352 separable_conv_1_reduction_left1_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_r (None, 2, 4, 88) 352 separable_conv_1_reduction_right1\n", + "__________________________________________________________________________________________________\n", + "activation_72 (Activation) (None, 2, 4, 88) 0 separable_conv_1_bn_reduction_lef\n", + "__________________________________________________________________________________________________\n", + "activation_74 (Activation) (None, 2, 4, 88) 0 separable_conv_1_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_left (None, 2, 4, 88) 9944 activation_72[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_righ (None, 2, 4, 88) 12056 activation_74[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_75 (Activation) (None, 4, 8, 88) 0 adjust_bn_reduce_4[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_l (None, 2, 4, 88) 352 separable_conv_2_reduction_left1_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_r (None, 2, 4, 88) 352 separable_conv_2_reduction_right1\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_pad_reduction_ (None, 9, 13, 88) 0 activation_75[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_77 (Activation) (None, 4, 8, 88) 0 adjust_bn_reduce_4[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_add_1_reduce_4 (Add) (None, 2, 4, 88) 0 separable_conv_2_bn_reduction_lef\n", + " separable_conv_2_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_righ (None, 2, 4, 88) 12056 separable_conv_1_pad_reduction_ri\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_pad_reduction_ (None, 7, 11, 88) 0 activation_77[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_79 (Activation) (None, 2, 4, 88) 0 reduction_add_1_reduce_4[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_r (None, 2, 4, 88) 352 separable_conv_1_reduction_right2\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_righ (None, 2, 4, 88) 9944 separable_conv_1_pad_reduction_ri\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_left (None, 2, 4, 88) 8536 activation_79[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_76 (Activation) (None, 2, 4, 88) 0 separable_conv_1_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_r (None, 2, 4, 88) 352 separable_conv_1_reduction_right3\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_l (None, 2, 4, 88) 352 separable_conv_1_reduction_left4_\n", + "__________________________________________________________________________________________________\n", + "reduction_pad_1_reduce_4 (ZeroP (None, 5, 9, 88) 0 reduction_bn_1_reduce_4[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_righ (None, 2, 4, 88) 12056 activation_76[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_78 (Activation) (None, 2, 4, 88) 0 separable_conv_1_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "activation_80 (Activation) (None, 2, 4, 88) 0 separable_conv_1_bn_reduction_lef\n", + "__________________________________________________________________________________________________\n", + "reduction_left2_reduce_4 (MaxPo (None, 2, 4, 88) 0 reduction_pad_1_reduce_4[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_r (None, 2, 4, 88) 352 separable_conv_2_reduction_right2\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_righ (None, 2, 4, 88) 9944 activation_78[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_left (None, 2, 4, 88) 8536 activation_80[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_relu_1_5 (Activation) (None, 4, 8, 264) 0 normal_concat_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_add_2_reduce_4 (Add) (None, 2, 4, 88) 0 reduction_left2_reduce_4[0][0] \n", + " separable_conv_2_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "reduction_left3_reduce_4 (Avera (None, 2, 4, 88) 0 reduction_pad_1_reduce_4[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_r (None, 2, 4, 88) 352 separable_conv_2_reduction_right3\n", + "__________________________________________________________________________________________________\n", + "reduction_left4_reduce_4 (Avera (None, 2, 4, 88) 0 reduction_add_1_reduce_4[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_l (None, 2, 4, 88) 352 separable_conv_2_reduction_left4_\n", + "__________________________________________________________________________________________________\n", + "reduction_right5_reduce_4 (MaxP (None, 2, 4, 88) 0 reduction_pad_1_reduce_4[0][0] \n", + "__________________________________________________________________________________________________\n", + "zero_padding2d_2 (ZeroPadding2D (None, 5, 9, 264) 0 adjust_relu_1_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_add3_reduce_4 (Add) (None, 2, 4, 88) 0 reduction_left3_reduce_4[0][0] \n", + " separable_conv_2_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "add_2 (Add) (None, 2, 4, 88) 0 reduction_add_2_reduce_4[0][0] \n", + " reduction_left4_reduce_4[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_add4_reduce_4 (Add) (None, 2, 4, 88) 0 separable_conv_2_bn_reduction_lef\n", + " reduction_right5_reduce_4[0][0] \n", + "__________________________________________________________________________________________________\n", + "cropping2d_2 (Cropping2D) (None, 4, 8, 264) 0 zero_padding2d_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_concat_reduce_4 (Conc (None, 2, 4, 352) 0 reduction_add_2_reduce_4[0][0] \n", + " reduction_add3_reduce_4[0][0] \n", " add_2[0][0] \n", + " reduction_add4_reduce_4[0][0] \n", "__________________________________________________________________________________________________\n", - "block6_sepconv1_act (Activation (None, 14, 14, 728) 0 add_3[0][0] \n", + "adjust_avg_pool_1_5 (AveragePoo (None, 2, 4, 264) 0 adjust_relu_1_5[0][0] \n", "__________________________________________________________________________________________________\n", - "block6_sepconv1 (SeparableConv2 (None, 14, 14, 728) 536536 block6_sepconv1_act[0][0] \n", + "adjust_avg_pool_2_5 (AveragePoo (None, 2, 4, 264) 0 cropping2d_2[0][0] \n", "__________________________________________________________________________________________________\n", - "block6_sepconv1_bn (BatchNormal (None, 14, 14, 728) 2912 block6_sepconv1[0][0] \n", + "adjust_conv_1_5 (Conv2D) (None, 2, 4, 44) 11616 adjust_avg_pool_1_5[0][0] \n", "__________________________________________________________________________________________________\n", - "block6_sepconv2_act (Activation (None, 14, 14, 728) 0 block6_sepconv1_bn[0][0] \n", + "adjust_conv_2_5 (Conv2D) (None, 2, 4, 44) 11616 adjust_avg_pool_2_5[0][0] \n", "__________________________________________________________________________________________________\n", - "block6_sepconv2 (SeparableConv2 (None, 14, 14, 728) 536536 block6_sepconv2_act[0][0] \n", + "activation_81 (Activation) (None, 2, 4, 352) 0 reduction_concat_reduce_4[0][0] \n", "__________________________________________________________________________________________________\n", - "block6_sepconv2_bn (BatchNormal (None, 14, 14, 728) 2912 block6_sepconv2[0][0] \n", + "concatenate_2 (Concatenate) (None, 2, 4, 88) 0 adjust_conv_1_5[0][0] \n", + " adjust_conv_2_5[0][0] \n", "__________________________________________________________________________________________________\n", - "block6_sepconv3_act (Activation (None, 14, 14, 728) 0 block6_sepconv2_bn[0][0] \n", + "normal_conv_1_5 (Conv2D) (None, 2, 4, 88) 30976 activation_81[0][0] \n", "__________________________________________________________________________________________________\n", - "block6_sepconv3 (SeparableConv2 (None, 14, 14, 728) 536536 block6_sepconv3_act[0][0] \n", + "adjust_bn_5 (BatchNormalization (None, 2, 4, 88) 352 concatenate_2[0][0] \n", "__________________________________________________________________________________________________\n", - "block6_sepconv3_bn (BatchNormal (None, 14, 14, 728) 2912 block6_sepconv3[0][0] \n", + "normal_bn_1_5 (BatchNormalizati (None, 2, 4, 88) 352 normal_conv_1_5[0][0] \n", "__________________________________________________________________________________________________\n", - "add_4 (Add) (None, 14, 14, 728) 0 block6_sepconv3_bn[0][0] \n", + "activation_82 (Activation) (None, 2, 4, 88) 0 normal_bn_1_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_84 (Activation) (None, 2, 4, 88) 0 adjust_bn_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_86 (Activation) (None, 2, 4, 88) 0 adjust_bn_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_88 (Activation) (None, 2, 4, 88) 0 adjust_bn_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_90 (Activation) (None, 2, 4, 88) 0 normal_bn_1_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left1_5 (None, 2, 4, 88) 9944 activation_82[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right1_ (None, 2, 4, 88) 8536 activation_84[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left2_5 (None, 2, 4, 88) 9944 activation_86[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right2_ (None, 2, 4, 88) 8536 activation_88[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left5_5 (None, 2, 4, 88) 8536 activation_90[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 2, 4, 88) 352 separable_conv_1_normal_left1_5[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 2, 4, 88) 352 separable_conv_1_normal_right1_5[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 2, 4, 88) 352 separable_conv_1_normal_left2_5[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 2, 4, 88) 352 separable_conv_1_normal_right2_5[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 2, 4, 88) 352 separable_conv_1_normal_left5_5[0\n", + "__________________________________________________________________________________________________\n", + "activation_83 (Activation) (None, 2, 4, 88) 0 separable_conv_1_bn_normal_left1_\n", + "__________________________________________________________________________________________________\n", + "activation_85 (Activation) (None, 2, 4, 88) 0 separable_conv_1_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "activation_87 (Activation) (None, 2, 4, 88) 0 separable_conv_1_bn_normal_left2_\n", + "__________________________________________________________________________________________________\n", + "activation_89 (Activation) (None, 2, 4, 88) 0 separable_conv_1_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "activation_91 (Activation) (None, 2, 4, 88) 0 separable_conv_1_bn_normal_left5_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left1_5 (None, 2, 4, 88) 9944 activation_83[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right1_ (None, 2, 4, 88) 8536 activation_85[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left2_5 (None, 2, 4, 88) 9944 activation_87[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right2_ (None, 2, 4, 88) 8536 activation_89[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left5_5 (None, 2, 4, 88) 8536 activation_91[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 2, 4, 88) 352 separable_conv_2_normal_left1_5[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 2, 4, 88) 352 separable_conv_2_normal_right1_5[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 2, 4, 88) 352 separable_conv_2_normal_left2_5[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 2, 4, 88) 352 separable_conv_2_normal_right2_5[\n", + "__________________________________________________________________________________________________\n", + "normal_left3_5 (AveragePooling2 (None, 2, 4, 88) 0 normal_bn_1_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_left4_5 (AveragePooling2 (None, 2, 4, 88) 0 adjust_bn_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_right4_5 (AveragePooling (None, 2, 4, 88) 0 adjust_bn_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 2, 4, 88) 352 separable_conv_2_normal_left5_5[0\n", + "__________________________________________________________________________________________________\n", + "normal_add_1_5 (Add) (None, 2, 4, 88) 0 separable_conv_2_bn_normal_left1_\n", + " separable_conv_2_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "normal_add_2_5 (Add) (None, 2, 4, 88) 0 separable_conv_2_bn_normal_left2_\n", + " separable_conv_2_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "normal_add_3_5 (Add) (None, 2, 4, 88) 0 normal_left3_5[0][0] \n", + " adjust_bn_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_4_5 (Add) (None, 2, 4, 88) 0 normal_left4_5[0][0] \n", + " normal_right4_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_5_5 (Add) (None, 2, 4, 88) 0 separable_conv_2_bn_normal_left5_\n", + " normal_bn_1_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_concat_5 (Concatenate) (None, 2, 4, 528) 0 adjust_bn_5[0][0] \n", + " normal_add_1_5[0][0] \n", + " normal_add_2_5[0][0] \n", + " normal_add_3_5[0][0] \n", + " normal_add_4_5[0][0] \n", + " normal_add_5_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_92 (Activation) (None, 2, 4, 352) 0 reduction_concat_reduce_4[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_93 (Activation) (None, 2, 4, 528) 0 normal_concat_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_conv_projection_6 (Conv2 (None, 2, 4, 88) 30976 activation_92[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_conv_1_6 (Conv2D) (None, 2, 4, 88) 46464 activation_93[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_bn_6 (BatchNormalization (None, 2, 4, 88) 352 adjust_conv_projection_6[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_bn_1_6 (BatchNormalizati (None, 2, 4, 88) 352 normal_conv_1_6[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_94 (Activation) (None, 2, 4, 88) 0 normal_bn_1_6[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_96 (Activation) (None, 2, 4, 88) 0 adjust_bn_6[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_98 (Activation) (None, 2, 4, 88) 0 adjust_bn_6[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_100 (Activation) (None, 2, 4, 88) 0 adjust_bn_6[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_102 (Activation) (None, 2, 4, 88) 0 normal_bn_1_6[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left1_6 (None, 2, 4, 88) 9944 activation_94[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right1_ (None, 2, 4, 88) 8536 activation_96[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left2_6 (None, 2, 4, 88) 9944 activation_98[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right2_ (None, 2, 4, 88) 8536 activation_100[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left5_6 (None, 2, 4, 88) 8536 activation_102[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 2, 4, 88) 352 separable_conv_1_normal_left1_6[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 2, 4, 88) 352 separable_conv_1_normal_right1_6[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 2, 4, 88) 352 separable_conv_1_normal_left2_6[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 2, 4, 88) 352 separable_conv_1_normal_right2_6[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 2, 4, 88) 352 separable_conv_1_normal_left5_6[0\n", + "__________________________________________________________________________________________________\n", + "activation_95 (Activation) (None, 2, 4, 88) 0 separable_conv_1_bn_normal_left1_\n", + "__________________________________________________________________________________________________\n", + "activation_97 (Activation) (None, 2, 4, 88) 0 separable_conv_1_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "activation_99 (Activation) (None, 2, 4, 88) 0 separable_conv_1_bn_normal_left2_\n", + "__________________________________________________________________________________________________\n", + "activation_101 (Activation) (None, 2, 4, 88) 0 separable_conv_1_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "activation_103 (Activation) (None, 2, 4, 88) 0 separable_conv_1_bn_normal_left5_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left1_6 (None, 2, 4, 88) 9944 activation_95[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right1_ (None, 2, 4, 88) 8536 activation_97[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left2_6 (None, 2, 4, 88) 9944 activation_99[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right2_ (None, 2, 4, 88) 8536 activation_101[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left5_6 (None, 2, 4, 88) 8536 activation_103[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 2, 4, 88) 352 separable_conv_2_normal_left1_6[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 2, 4, 88) 352 separable_conv_2_normal_right1_6[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 2, 4, 88) 352 separable_conv_2_normal_left2_6[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 2, 4, 88) 352 separable_conv_2_normal_right2_6[\n", + "__________________________________________________________________________________________________\n", + "normal_left3_6 (AveragePooling2 (None, 2, 4, 88) 0 normal_bn_1_6[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_left4_6 (AveragePooling2 (None, 2, 4, 88) 0 adjust_bn_6[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_right4_6 (AveragePooling (None, 2, 4, 88) 0 adjust_bn_6[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 2, 4, 88) 352 separable_conv_2_normal_left5_6[0\n", + "__________________________________________________________________________________________________\n", + "normal_add_1_6 (Add) (None, 2, 4, 88) 0 separable_conv_2_bn_normal_left1_\n", + " separable_conv_2_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "normal_add_2_6 (Add) (None, 2, 4, 88) 0 separable_conv_2_bn_normal_left2_\n", + " separable_conv_2_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "normal_add_3_6 (Add) (None, 2, 4, 88) 0 normal_left3_6[0][0] \n", + " adjust_bn_6[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_4_6 (Add) (None, 2, 4, 88) 0 normal_left4_6[0][0] \n", + " normal_right4_6[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_5_6 (Add) (None, 2, 4, 88) 0 separable_conv_2_bn_normal_left5_\n", + " normal_bn_1_6[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_concat_6 (Concatenate) (None, 2, 4, 528) 0 adjust_bn_6[0][0] \n", + " normal_add_1_6[0][0] \n", + " normal_add_2_6[0][0] \n", + " normal_add_3_6[0][0] \n", + " normal_add_4_6[0][0] \n", + " normal_add_5_6[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_104 (Activation) (None, 2, 4, 528) 0 normal_concat_5[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_105 (Activation) (None, 2, 4, 528) 0 normal_concat_6[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_conv_projection_7 (Conv2 (None, 2, 4, 88) 46464 activation_104[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_conv_1_7 (Conv2D) (None, 2, 4, 88) 46464 activation_105[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_bn_7 (BatchNormalization (None, 2, 4, 88) 352 adjust_conv_projection_7[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_bn_1_7 (BatchNormalizati (None, 2, 4, 88) 352 normal_conv_1_7[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_106 (Activation) (None, 2, 4, 88) 0 normal_bn_1_7[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_108 (Activation) (None, 2, 4, 88) 0 adjust_bn_7[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_110 (Activation) (None, 2, 4, 88) 0 adjust_bn_7[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_112 (Activation) (None, 2, 4, 88) 0 adjust_bn_7[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_114 (Activation) (None, 2, 4, 88) 0 normal_bn_1_7[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left1_7 (None, 2, 4, 88) 9944 activation_106[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right1_ (None, 2, 4, 88) 8536 activation_108[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left2_7 (None, 2, 4, 88) 9944 activation_110[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right2_ (None, 2, 4, 88) 8536 activation_112[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left5_7 (None, 2, 4, 88) 8536 activation_114[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 2, 4, 88) 352 separable_conv_1_normal_left1_7[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 2, 4, 88) 352 separable_conv_1_normal_right1_7[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 2, 4, 88) 352 separable_conv_1_normal_left2_7[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 2, 4, 88) 352 separable_conv_1_normal_right2_7[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 2, 4, 88) 352 separable_conv_1_normal_left5_7[0\n", + "__________________________________________________________________________________________________\n", + "activation_107 (Activation) (None, 2, 4, 88) 0 separable_conv_1_bn_normal_left1_\n", + "__________________________________________________________________________________________________\n", + "activation_109 (Activation) (None, 2, 4, 88) 0 separable_conv_1_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "activation_111 (Activation) (None, 2, 4, 88) 0 separable_conv_1_bn_normal_left2_\n", + "__________________________________________________________________________________________________\n", + "activation_113 (Activation) (None, 2, 4, 88) 0 separable_conv_1_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "activation_115 (Activation) (None, 2, 4, 88) 0 separable_conv_1_bn_normal_left5_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left1_7 (None, 2, 4, 88) 9944 activation_107[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right1_ (None, 2, 4, 88) 8536 activation_109[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left2_7 (None, 2, 4, 88) 9944 activation_111[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right2_ (None, 2, 4, 88) 8536 activation_113[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left5_7 (None, 2, 4, 88) 8536 activation_115[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 2, 4, 88) 352 separable_conv_2_normal_left1_7[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 2, 4, 88) 352 separable_conv_2_normal_right1_7[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 2, 4, 88) 352 separable_conv_2_normal_left2_7[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 2, 4, 88) 352 separable_conv_2_normal_right2_7[\n", + "__________________________________________________________________________________________________\n", + "normal_left3_7 (AveragePooling2 (None, 2, 4, 88) 0 normal_bn_1_7[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_left4_7 (AveragePooling2 (None, 2, 4, 88) 0 adjust_bn_7[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_right4_7 (AveragePooling (None, 2, 4, 88) 0 adjust_bn_7[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 2, 4, 88) 352 separable_conv_2_normal_left5_7[0\n", + "__________________________________________________________________________________________________\n", + "normal_add_1_7 (Add) (None, 2, 4, 88) 0 separable_conv_2_bn_normal_left1_\n", + " separable_conv_2_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "normal_add_2_7 (Add) (None, 2, 4, 88) 0 separable_conv_2_bn_normal_left2_\n", + " separable_conv_2_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "normal_add_3_7 (Add) (None, 2, 4, 88) 0 normal_left3_7[0][0] \n", + " adjust_bn_7[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_4_7 (Add) (None, 2, 4, 88) 0 normal_left4_7[0][0] \n", + " normal_right4_7[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_5_7 (Add) (None, 2, 4, 88) 0 separable_conv_2_bn_normal_left5_\n", + " normal_bn_1_7[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_concat_7 (Concatenate) (None, 2, 4, 528) 0 adjust_bn_7[0][0] \n", + " normal_add_1_7[0][0] \n", + " normal_add_2_7[0][0] \n", + " normal_add_3_7[0][0] \n", + " normal_add_4_7[0][0] \n", + " normal_add_5_7[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_116 (Activation) (None, 2, 4, 528) 0 normal_concat_6[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_117 (Activation) (None, 2, 4, 528) 0 normal_concat_7[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_conv_projection_8 (Conv2 (None, 2, 4, 88) 46464 activation_116[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_conv_1_8 (Conv2D) (None, 2, 4, 88) 46464 activation_117[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_bn_8 (BatchNormalization (None, 2, 4, 88) 352 adjust_conv_projection_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_bn_1_8 (BatchNormalizati (None, 2, 4, 88) 352 normal_conv_1_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_118 (Activation) (None, 2, 4, 88) 0 normal_bn_1_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_120 (Activation) (None, 2, 4, 88) 0 adjust_bn_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_122 (Activation) (None, 2, 4, 88) 0 adjust_bn_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_124 (Activation) (None, 2, 4, 88) 0 adjust_bn_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_126 (Activation) (None, 2, 4, 88) 0 normal_bn_1_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left1_8 (None, 2, 4, 88) 9944 activation_118[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right1_ (None, 2, 4, 88) 8536 activation_120[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left2_8 (None, 2, 4, 88) 9944 activation_122[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right2_ (None, 2, 4, 88) 8536 activation_124[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left5_8 (None, 2, 4, 88) 8536 activation_126[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 2, 4, 88) 352 separable_conv_1_normal_left1_8[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 2, 4, 88) 352 separable_conv_1_normal_right1_8[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 2, 4, 88) 352 separable_conv_1_normal_left2_8[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 2, 4, 88) 352 separable_conv_1_normal_right2_8[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 2, 4, 88) 352 separable_conv_1_normal_left5_8[0\n", + "__________________________________________________________________________________________________\n", + "activation_119 (Activation) (None, 2, 4, 88) 0 separable_conv_1_bn_normal_left1_\n", + "__________________________________________________________________________________________________\n", + "activation_121 (Activation) (None, 2, 4, 88) 0 separable_conv_1_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "activation_123 (Activation) (None, 2, 4, 88) 0 separable_conv_1_bn_normal_left2_\n", + "__________________________________________________________________________________________________\n", + "activation_125 (Activation) (None, 2, 4, 88) 0 separable_conv_1_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "activation_127 (Activation) (None, 2, 4, 88) 0 separable_conv_1_bn_normal_left5_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left1_8 (None, 2, 4, 88) 9944 activation_119[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right1_ (None, 2, 4, 88) 8536 activation_121[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left2_8 (None, 2, 4, 88) 9944 activation_123[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right2_ (None, 2, 4, 88) 8536 activation_125[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left5_8 (None, 2, 4, 88) 8536 activation_127[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 2, 4, 88) 352 separable_conv_2_normal_left1_8[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 2, 4, 88) 352 separable_conv_2_normal_right1_8[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 2, 4, 88) 352 separable_conv_2_normal_left2_8[0\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 2, 4, 88) 352 separable_conv_2_normal_right2_8[\n", + "__________________________________________________________________________________________________\n", + "normal_left3_8 (AveragePooling2 (None, 2, 4, 88) 0 normal_bn_1_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_left4_8 (AveragePooling2 (None, 2, 4, 88) 0 adjust_bn_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_right4_8 (AveragePooling (None, 2, 4, 88) 0 adjust_bn_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 2, 4, 88) 352 separable_conv_2_normal_left5_8[0\n", + "__________________________________________________________________________________________________\n", + "normal_add_1_8 (Add) (None, 2, 4, 88) 0 separable_conv_2_bn_normal_left1_\n", + " separable_conv_2_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "normal_add_2_8 (Add) (None, 2, 4, 88) 0 separable_conv_2_bn_normal_left2_\n", + " separable_conv_2_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "normal_add_3_8 (Add) (None, 2, 4, 88) 0 normal_left3_8[0][0] \n", + " adjust_bn_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_4_8 (Add) (None, 2, 4, 88) 0 normal_left4_8[0][0] \n", + " normal_right4_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_5_8 (Add) (None, 2, 4, 88) 0 separable_conv_2_bn_normal_left5_\n", + " normal_bn_1_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_concat_8 (Concatenate) (None, 2, 4, 528) 0 adjust_bn_8[0][0] \n", + " normal_add_1_8[0][0] \n", + " normal_add_2_8[0][0] \n", + " normal_add_3_8[0][0] \n", + " normal_add_4_8[0][0] \n", + " normal_add_5_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_129 (Activation) (None, 2, 4, 528) 0 normal_concat_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_128 (Activation) (None, 2, 4, 528) 0 normal_concat_7[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_conv_1_reduce_8 (Conv (None, 2, 4, 176) 92928 activation_129[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_conv_projection_reduce_8 (None, 2, 4, 176) 92928 activation_128[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_bn_1_reduce_8 (BatchN (None, 2, 4, 176) 704 reduction_conv_1_reduce_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_bn_reduce_8 (BatchNormal (None, 2, 4, 176) 704 adjust_conv_projection_reduce_8[0\n", + "__________________________________________________________________________________________________\n", + "activation_130 (Activation) (None, 2, 4, 176) 0 reduction_bn_1_reduce_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_132 (Activation) (None, 2, 4, 176) 0 adjust_bn_reduce_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_pad_reduction_ (None, 5, 7, 176) 0 activation_130[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_pad_reduction_ (None, 7, 9, 176) 0 activation_132[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_left (None, 1, 2, 176) 35376 separable_conv_1_pad_reduction_le\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_righ (None, 1, 2, 176) 39600 separable_conv_1_pad_reduction_ri\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_l (None, 1, 2, 176) 704 separable_conv_1_reduction_left1_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_r (None, 1, 2, 176) 704 separable_conv_1_reduction_right1\n", + "__________________________________________________________________________________________________\n", + "activation_131 (Activation) (None, 1, 2, 176) 0 separable_conv_1_bn_reduction_lef\n", + "__________________________________________________________________________________________________\n", + "activation_133 (Activation) (None, 1, 2, 176) 0 separable_conv_1_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_left (None, 1, 2, 176) 35376 activation_131[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_righ (None, 1, 2, 176) 39600 activation_133[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_134 (Activation) (None, 2, 4, 176) 0 adjust_bn_reduce_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_l (None, 1, 2, 176) 704 separable_conv_2_reduction_left1_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_r (None, 1, 2, 176) 704 separable_conv_2_reduction_right1\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_pad_reduction_ (None, 7, 9, 176) 0 activation_134[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_136 (Activation) (None, 2, 4, 176) 0 adjust_bn_reduce_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_add_1_reduce_8 (Add) (None, 1, 2, 176) 0 separable_conv_2_bn_reduction_lef\n", + " separable_conv_2_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_righ (None, 1, 2, 176) 39600 separable_conv_1_pad_reduction_ri\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_pad_reduction_ (None, 5, 7, 176) 0 activation_136[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_138 (Activation) (None, 1, 2, 176) 0 reduction_add_1_reduce_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_r (None, 1, 2, 176) 704 separable_conv_1_reduction_right2\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_righ (None, 1, 2, 176) 35376 separable_conv_1_pad_reduction_ri\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_reduction_left (None, 1, 2, 176) 32560 activation_138[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_135 (Activation) (None, 1, 2, 176) 0 separable_conv_1_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_r (None, 1, 2, 176) 704 separable_conv_1_reduction_right3\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_reduction_l (None, 1, 2, 176) 704 separable_conv_1_reduction_left4_\n", + "__________________________________________________________________________________________________\n", + "reduction_pad_1_reduce_8 (ZeroP (None, 3, 5, 176) 0 reduction_bn_1_reduce_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_righ (None, 1, 2, 176) 39600 activation_135[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_137 (Activation) (None, 1, 2, 176) 0 separable_conv_1_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "activation_139 (Activation) (None, 1, 2, 176) 0 separable_conv_1_bn_reduction_lef\n", + "__________________________________________________________________________________________________\n", + "reduction_left2_reduce_8 (MaxPo (None, 1, 2, 176) 0 reduction_pad_1_reduce_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_r (None, 1, 2, 176) 704 separable_conv_2_reduction_right2\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_righ (None, 1, 2, 176) 35376 activation_137[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_reduction_left (None, 1, 2, 176) 32560 activation_139[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_relu_1_9 (Activation) (None, 2, 4, 528) 0 normal_concat_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_add_2_reduce_8 (Add) (None, 1, 2, 176) 0 reduction_left2_reduce_8[0][0] \n", + " separable_conv_2_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "reduction_left3_reduce_8 (Avera (None, 1, 2, 176) 0 reduction_pad_1_reduce_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_r (None, 1, 2, 176) 704 separable_conv_2_reduction_right3\n", + "__________________________________________________________________________________________________\n", + "reduction_left4_reduce_8 (Avera (None, 1, 2, 176) 0 reduction_add_1_reduce_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_reduction_l (None, 1, 2, 176) 704 separable_conv_2_reduction_left4_\n", + "__________________________________________________________________________________________________\n", + "reduction_right5_reduce_8 (MaxP (None, 1, 2, 176) 0 reduction_pad_1_reduce_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "zero_padding2d_3 (ZeroPadding2D (None, 3, 5, 528) 0 adjust_relu_1_9[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_add3_reduce_8 (Add) (None, 1, 2, 176) 0 reduction_left3_reduce_8[0][0] \n", + " separable_conv_2_bn_reduction_rig\n", + "__________________________________________________________________________________________________\n", + "add_3 (Add) (None, 1, 2, 176) 0 reduction_add_2_reduce_8[0][0] \n", + " reduction_left4_reduce_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_add4_reduce_8 (Add) (None, 1, 2, 176) 0 separable_conv_2_bn_reduction_lef\n", + " reduction_right5_reduce_8[0][0] \n", + "__________________________________________________________________________________________________\n", + "cropping2d_3 (Cropping2D) (None, 2, 4, 528) 0 zero_padding2d_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "reduction_concat_reduce_8 (Conc (None, 1, 2, 704) 0 reduction_add_2_reduce_8[0][0] \n", + " reduction_add3_reduce_8[0][0] \n", " add_3[0][0] \n", + " reduction_add4_reduce_8[0][0] \n", "__________________________________________________________________________________________________\n", - "block7_sepconv1_act (Activation (None, 14, 14, 728) 0 add_4[0][0] \n", + "adjust_avg_pool_1_9 (AveragePoo (None, 1, 2, 528) 0 adjust_relu_1_9[0][0] \n", "__________________________________________________________________________________________________\n", - "block7_sepconv1 (SeparableConv2 (None, 14, 14, 728) 536536 block7_sepconv1_act[0][0] \n", + "adjust_avg_pool_2_9 (AveragePoo (None, 1, 2, 528) 0 cropping2d_3[0][0] \n", "__________________________________________________________________________________________________\n", - "block7_sepconv1_bn (BatchNormal (None, 14, 14, 728) 2912 block7_sepconv1[0][0] \n", + "adjust_conv_1_9 (Conv2D) (None, 1, 2, 88) 46464 adjust_avg_pool_1_9[0][0] \n", "__________________________________________________________________________________________________\n", - "block7_sepconv2_act (Activation (None, 14, 14, 728) 0 block7_sepconv1_bn[0][0] \n", + "adjust_conv_2_9 (Conv2D) (None, 1, 2, 88) 46464 adjust_avg_pool_2_9[0][0] \n", "__________________________________________________________________________________________________\n", - "block7_sepconv2 (SeparableConv2 (None, 14, 14, 728) 536536 block7_sepconv2_act[0][0] \n", + "activation_140 (Activation) (None, 1, 2, 704) 0 reduction_concat_reduce_8[0][0] \n", "__________________________________________________________________________________________________\n", - "block7_sepconv2_bn (BatchNormal (None, 14, 14, 728) 2912 block7_sepconv2[0][0] \n", + "concatenate_3 (Concatenate) (None, 1, 2, 176) 0 adjust_conv_1_9[0][0] \n", + " adjust_conv_2_9[0][0] \n", "__________________________________________________________________________________________________\n", - "block7_sepconv3_act (Activation (None, 14, 14, 728) 0 block7_sepconv2_bn[0][0] \n", + "normal_conv_1_9 (Conv2D) (None, 1, 2, 176) 123904 activation_140[0][0] \n", "__________________________________________________________________________________________________\n", - "block7_sepconv3 (SeparableConv2 (None, 14, 14, 728) 536536 block7_sepconv3_act[0][0] \n", + "adjust_bn_9 (BatchNormalization (None, 1, 2, 176) 704 concatenate_3[0][0] \n", "__________________________________________________________________________________________________\n", - "block7_sepconv3_bn (BatchNormal (None, 14, 14, 728) 2912 block7_sepconv3[0][0] \n", + "normal_bn_1_9 (BatchNormalizati (None, 1, 2, 176) 704 normal_conv_1_9[0][0] \n", "__________________________________________________________________________________________________\n", - "add_5 (Add) (None, 14, 14, 728) 0 block7_sepconv3_bn[0][0] \n", - " add_4[0][0] \n", + "activation_141 (Activation) (None, 1, 2, 176) 0 normal_bn_1_9[0][0] \n", "__________________________________________________________________________________________________\n", - "block8_sepconv1_act (Activation (None, 14, 14, 728) 0 add_5[0][0] \n", + "activation_143 (Activation) (None, 1, 2, 176) 0 adjust_bn_9[0][0] \n", "__________________________________________________________________________________________________\n", - "block8_sepconv1 (SeparableConv2 (None, 14, 14, 728) 536536 block8_sepconv1_act[0][0] \n", + "activation_145 (Activation) (None, 1, 2, 176) 0 adjust_bn_9[0][0] \n", "__________________________________________________________________________________________________\n", - "block8_sepconv1_bn (BatchNormal (None, 14, 14, 728) 2912 block8_sepconv1[0][0] \n", + "activation_147 (Activation) (None, 1, 2, 176) 0 adjust_bn_9[0][0] \n", "__________________________________________________________________________________________________\n", - "block8_sepconv2_act (Activation (None, 14, 14, 728) 0 block8_sepconv1_bn[0][0] \n", + "activation_149 (Activation) (None, 1, 2, 176) 0 normal_bn_1_9[0][0] \n", "__________________________________________________________________________________________________\n", - "block8_sepconv2 (SeparableConv2 (None, 14, 14, 728) 536536 block8_sepconv2_act[0][0] \n", + "separable_conv_1_normal_left1_9 (None, 1, 2, 176) 35376 activation_141[0][0] \n", "__________________________________________________________________________________________________\n", - "block8_sepconv2_bn (BatchNormal (None, 14, 14, 728) 2912 block8_sepconv2[0][0] \n", + "separable_conv_1_normal_right1_ (None, 1, 2, 176) 32560 activation_143[0][0] \n", "__________________________________________________________________________________________________\n", - "block8_sepconv3_act (Activation (None, 14, 14, 728) 0 block8_sepconv2_bn[0][0] \n", + "separable_conv_1_normal_left2_9 (None, 1, 2, 176) 35376 activation_145[0][0] \n", "__________________________________________________________________________________________________\n", - "block8_sepconv3 (SeparableConv2 (None, 14, 14, 728) 536536 block8_sepconv3_act[0][0] \n", + "separable_conv_1_normal_right2_ (None, 1, 2, 176) 32560 activation_147[0][0] \n", "__________________________________________________________________________________________________\n", - "block8_sepconv3_bn (BatchNormal (None, 14, 14, 728) 2912 block8_sepconv3[0][0] \n", + "separable_conv_1_normal_left5_9 (None, 1, 2, 176) 32560 activation_149[0][0] \n", "__________________________________________________________________________________________________\n", - "add_6 (Add) (None, 14, 14, 728) 0 block8_sepconv3_bn[0][0] \n", - " add_5[0][0] \n", + "separable_conv_1_bn_normal_left (None, 1, 2, 176) 704 separable_conv_1_normal_left1_9[0\n", "__________________________________________________________________________________________________\n", - "block9_sepconv1_act (Activation (None, 14, 14, 728) 0 add_6[0][0] \n", + "separable_conv_1_bn_normal_righ (None, 1, 2, 176) 704 separable_conv_1_normal_right1_9[\n", "__________________________________________________________________________________________________\n", - "block9_sepconv1 (SeparableConv2 (None, 14, 14, 728) 536536 block9_sepconv1_act[0][0] \n", + "separable_conv_1_bn_normal_left (None, 1, 2, 176) 704 separable_conv_1_normal_left2_9[0\n", "__________________________________________________________________________________________________\n", - "block9_sepconv1_bn (BatchNormal (None, 14, 14, 728) 2912 block9_sepconv1[0][0] \n", + "separable_conv_1_bn_normal_righ (None, 1, 2, 176) 704 separable_conv_1_normal_right2_9[\n", "__________________________________________________________________________________________________\n", - "block9_sepconv2_act (Activation (None, 14, 14, 728) 0 block9_sepconv1_bn[0][0] \n", + "separable_conv_1_bn_normal_left (None, 1, 2, 176) 704 separable_conv_1_normal_left5_9[0\n", "__________________________________________________________________________________________________\n", - "block9_sepconv2 (SeparableConv2 (None, 14, 14, 728) 536536 block9_sepconv2_act[0][0] \n", + "activation_142 (Activation) (None, 1, 2, 176) 0 separable_conv_1_bn_normal_left1_\n", "__________________________________________________________________________________________________\n", - "block9_sepconv2_bn (BatchNormal (None, 14, 14, 728) 2912 block9_sepconv2[0][0] \n", + "activation_144 (Activation) (None, 1, 2, 176) 0 separable_conv_1_bn_normal_right1\n", "__________________________________________________________________________________________________\n", - "block9_sepconv3_act (Activation (None, 14, 14, 728) 0 block9_sepconv2_bn[0][0] \n", + "activation_146 (Activation) (None, 1, 2, 176) 0 separable_conv_1_bn_normal_left2_\n", "__________________________________________________________________________________________________\n", - "block9_sepconv3 (SeparableConv2 (None, 14, 14, 728) 536536 block9_sepconv3_act[0][0] \n", + "activation_148 (Activation) (None, 1, 2, 176) 0 separable_conv_1_bn_normal_right2\n", "__________________________________________________________________________________________________\n", - "block9_sepconv3_bn (BatchNormal (None, 14, 14, 728) 2912 block9_sepconv3[0][0] \n", + "activation_150 (Activation) (None, 1, 2, 176) 0 separable_conv_1_bn_normal_left5_\n", "__________________________________________________________________________________________________\n", - "add_7 (Add) (None, 14, 14, 728) 0 block9_sepconv3_bn[0][0] \n", - " add_6[0][0] \n", + "separable_conv_2_normal_left1_9 (None, 1, 2, 176) 35376 activation_142[0][0] \n", "__________________________________________________________________________________________________\n", - "block10_sepconv1_act (Activatio (None, 14, 14, 728) 0 add_7[0][0] \n", + "separable_conv_2_normal_right1_ (None, 1, 2, 176) 32560 activation_144[0][0] \n", "__________________________________________________________________________________________________\n", - "block10_sepconv1 (SeparableConv (None, 14, 14, 728) 536536 block10_sepconv1_act[0][0] \n", + "separable_conv_2_normal_left2_9 (None, 1, 2, 176) 35376 activation_146[0][0] \n", "__________________________________________________________________________________________________\n", - "block10_sepconv1_bn (BatchNorma (None, 14, 14, 728) 2912 block10_sepconv1[0][0] \n", + "separable_conv_2_normal_right2_ (None, 1, 2, 176) 32560 activation_148[0][0] \n", "__________________________________________________________________________________________________\n", - "block10_sepconv2_act (Activatio (None, 14, 14, 728) 0 block10_sepconv1_bn[0][0] \n", + "separable_conv_2_normal_left5_9 (None, 1, 2, 176) 32560 activation_150[0][0] \n", "__________________________________________________________________________________________________\n", - "block10_sepconv2 (SeparableConv (None, 14, 14, 728) 536536 block10_sepconv2_act[0][0] \n", + "separable_conv_2_bn_normal_left (None, 1, 2, 176) 704 separable_conv_2_normal_left1_9[0\n", "__________________________________________________________________________________________________\n", - "block10_sepconv2_bn (BatchNorma (None, 14, 14, 728) 2912 block10_sepconv2[0][0] \n", + "separable_conv_2_bn_normal_righ (None, 1, 2, 176) 704 separable_conv_2_normal_right1_9[\n", "__________________________________________________________________________________________________\n", - "block10_sepconv3_act (Activatio (None, 14, 14, 728) 0 block10_sepconv2_bn[0][0] \n", + "separable_conv_2_bn_normal_left (None, 1, 2, 176) 704 separable_conv_2_normal_left2_9[0\n", "__________________________________________________________________________________________________\n", - "block10_sepconv3 (SeparableConv (None, 14, 14, 728) 536536 block10_sepconv3_act[0][0] \n", + "separable_conv_2_bn_normal_righ (None, 1, 2, 176) 704 separable_conv_2_normal_right2_9[\n", "__________________________________________________________________________________________________\n", - "block10_sepconv3_bn (BatchNorma (None, 14, 14, 728) 2912 block10_sepconv3[0][0] \n", + "normal_left3_9 (AveragePooling2 (None, 1, 2, 176) 0 normal_bn_1_9[0][0] \n", "__________________________________________________________________________________________________\n", - "add_8 (Add) (None, 14, 14, 728) 0 block10_sepconv3_bn[0][0] \n", - " add_7[0][0] \n", + "normal_left4_9 (AveragePooling2 (None, 1, 2, 176) 0 adjust_bn_9[0][0] \n", "__________________________________________________________________________________________________\n", - "block11_sepconv1_act (Activatio (None, 14, 14, 728) 0 add_8[0][0] \n", + "normal_right4_9 (AveragePooling (None, 1, 2, 176) 0 adjust_bn_9[0][0] \n", "__________________________________________________________________________________________________\n", - "block11_sepconv1 (SeparableConv (None, 14, 14, 728) 536536 block11_sepconv1_act[0][0] \n", + "separable_conv_2_bn_normal_left (None, 1, 2, 176) 704 separable_conv_2_normal_left5_9[0\n", "__________________________________________________________________________________________________\n", - "block11_sepconv1_bn (BatchNorma (None, 14, 14, 728) 2912 block11_sepconv1[0][0] \n", + "normal_add_1_9 (Add) (None, 1, 2, 176) 0 separable_conv_2_bn_normal_left1_\n", + " separable_conv_2_bn_normal_right1\n", "__________________________________________________________________________________________________\n", - "block11_sepconv2_act (Activatio (None, 14, 14, 728) 0 block11_sepconv1_bn[0][0] \n", + "normal_add_2_9 (Add) (None, 1, 2, 176) 0 separable_conv_2_bn_normal_left2_\n", + " separable_conv_2_bn_normal_right2\n", "__________________________________________________________________________________________________\n", - "block11_sepconv2 (SeparableConv (None, 14, 14, 728) 536536 block11_sepconv2_act[0][0] \n", + "normal_add_3_9 (Add) (None, 1, 2, 176) 0 normal_left3_9[0][0] \n", + " adjust_bn_9[0][0] \n", "__________________________________________________________________________________________________\n", - "block11_sepconv2_bn (BatchNorma (None, 14, 14, 728) 2912 block11_sepconv2[0][0] \n", + "normal_add_4_9 (Add) (None, 1, 2, 176) 0 normal_left4_9[0][0] \n", + " normal_right4_9[0][0] \n", "__________________________________________________________________________________________________\n", - "block11_sepconv3_act (Activatio (None, 14, 14, 728) 0 block11_sepconv2_bn[0][0] \n", + "normal_add_5_9 (Add) (None, 1, 2, 176) 0 separable_conv_2_bn_normal_left5_\n", + " normal_bn_1_9[0][0] \n", "__________________________________________________________________________________________________\n", - "block11_sepconv3 (SeparableConv (None, 14, 14, 728) 536536 block11_sepconv3_act[0][0] \n", + "normal_concat_9 (Concatenate) (None, 1, 2, 1056) 0 adjust_bn_9[0][0] \n", + " normal_add_1_9[0][0] \n", + " normal_add_2_9[0][0] \n", + " normal_add_3_9[0][0] \n", + " normal_add_4_9[0][0] \n", + " normal_add_5_9[0][0] \n", "__________________________________________________________________________________________________\n", - "block11_sepconv3_bn (BatchNorma (None, 14, 14, 728) 2912 block11_sepconv3[0][0] \n", + "activation_151 (Activation) (None, 1, 2, 704) 0 reduction_concat_reduce_8[0][0] \n", "__________________________________________________________________________________________________\n", - "add_9 (Add) (None, 14, 14, 728) 0 block11_sepconv3_bn[0][0] \n", - " add_8[0][0] \n", + "activation_152 (Activation) (None, 1, 2, 1056) 0 normal_concat_9[0][0] \n", "__________________________________________________________________________________________________\n", - "block12_sepconv1_act (Activatio (None, 14, 14, 728) 0 add_9[0][0] \n", + "adjust_conv_projection_10 (Conv (None, 1, 2, 176) 123904 activation_151[0][0] \n", "__________________________________________________________________________________________________\n", - "block12_sepconv1 (SeparableConv (None, 14, 14, 728) 536536 block12_sepconv1_act[0][0] \n", + "normal_conv_1_10 (Conv2D) (None, 1, 2, 176) 185856 activation_152[0][0] \n", "__________________________________________________________________________________________________\n", - "block12_sepconv1_bn (BatchNorma (None, 14, 14, 728) 2912 block12_sepconv1[0][0] \n", + "adjust_bn_10 (BatchNormalizatio (None, 1, 2, 176) 704 adjust_conv_projection_10[0][0] \n", "__________________________________________________________________________________________________\n", - "block12_sepconv2_act (Activatio (None, 14, 14, 728) 0 block12_sepconv1_bn[0][0] \n", + "normal_bn_1_10 (BatchNormalizat (None, 1, 2, 176) 704 normal_conv_1_10[0][0] \n", "__________________________________________________________________________________________________\n", - "block12_sepconv2 (SeparableConv (None, 14, 14, 728) 536536 block12_sepconv2_act[0][0] \n", + "activation_153 (Activation) (None, 1, 2, 176) 0 normal_bn_1_10[0][0] \n", "__________________________________________________________________________________________________\n", - "block12_sepconv2_bn (BatchNorma (None, 14, 14, 728) 2912 block12_sepconv2[0][0] \n", + "activation_155 (Activation) (None, 1, 2, 176) 0 adjust_bn_10[0][0] \n", "__________________________________________________________________________________________________\n", - "block12_sepconv3_act (Activatio (None, 14, 14, 728) 0 block12_sepconv2_bn[0][0] \n", + "activation_157 (Activation) (None, 1, 2, 176) 0 adjust_bn_10[0][0] \n", "__________________________________________________________________________________________________\n", - "block12_sepconv3 (SeparableConv (None, 14, 14, 728) 536536 block12_sepconv3_act[0][0] \n", + "activation_159 (Activation) (None, 1, 2, 176) 0 adjust_bn_10[0][0] \n", "__________________________________________________________________________________________________\n", - "block12_sepconv3_bn (BatchNorma (None, 14, 14, 728) 2912 block12_sepconv3[0][0] \n", + "activation_161 (Activation) (None, 1, 2, 176) 0 normal_bn_1_10[0][0] \n", "__________________________________________________________________________________________________\n", - "add_10 (Add) (None, 14, 14, 728) 0 block12_sepconv3_bn[0][0] \n", - " add_9[0][0] \n", + "separable_conv_1_normal_left1_1 (None, 1, 2, 176) 35376 activation_153[0][0] \n", "__________________________________________________________________________________________________\n", - "block13_sepconv1_act (Activatio (None, 14, 14, 728) 0 add_10[0][0] \n", + "separable_conv_1_normal_right1_ (None, 1, 2, 176) 32560 activation_155[0][0] \n", "__________________________________________________________________________________________________\n", - "block13_sepconv1 (SeparableConv (None, 14, 14, 728) 536536 block13_sepconv1_act[0][0] \n", + "separable_conv_1_normal_left2_1 (None, 1, 2, 176) 35376 activation_157[0][0] \n", "__________________________________________________________________________________________________\n", - "block13_sepconv1_bn (BatchNorma (None, 14, 14, 728) 2912 block13_sepconv1[0][0] \n", + "separable_conv_1_normal_right2_ (None, 1, 2, 176) 32560 activation_159[0][0] \n", "__________________________________________________________________________________________________\n", - "block13_sepconv2_act (Activatio (None, 14, 14, 728) 0 block13_sepconv1_bn[0][0] \n", + "separable_conv_1_normal_left5_1 (None, 1, 2, 176) 32560 activation_161[0][0] \n", "__________________________________________________________________________________________________\n", - "block13_sepconv2 (SeparableConv (None, 14, 14, 1024) 752024 block13_sepconv2_act[0][0] \n", + "separable_conv_1_bn_normal_left (None, 1, 2, 176) 704 separable_conv_1_normal_left1_10[\n", "__________________________________________________________________________________________________\n", - "block13_sepconv2_bn (BatchNorma (None, 14, 14, 1024) 4096 block13_sepconv2[0][0] \n", + "separable_conv_1_bn_normal_righ (None, 1, 2, 176) 704 separable_conv_1_normal_right1_10\n", "__________________________________________________________________________________________________\n", - "conv2d_3 (Conv2D) (None, 7, 7, 1024) 745472 add_10[0][0] \n", + "separable_conv_1_bn_normal_left (None, 1, 2, 176) 704 separable_conv_1_normal_left2_10[\n", "__________________________________________________________________________________________________\n", - "block13_pool (MaxPooling2D) (None, 7, 7, 1024) 0 block13_sepconv2_bn[0][0] \n", + "separable_conv_1_bn_normal_righ (None, 1, 2, 176) 704 separable_conv_1_normal_right2_10\n", "__________________________________________________________________________________________________\n", - "batch_normalization_3 (BatchNor (None, 7, 7, 1024) 4096 conv2d_3[0][0] \n", + "separable_conv_1_bn_normal_left (None, 1, 2, 176) 704 separable_conv_1_normal_left5_10[\n", "__________________________________________________________________________________________________\n", - "add_11 (Add) (None, 7, 7, 1024) 0 block13_pool[0][0] \n", - " batch_normalization_3[0][0] \n", + "activation_154 (Activation) (None, 1, 2, 176) 0 separable_conv_1_bn_normal_left1_\n", "__________________________________________________________________________________________________\n", - "block14_sepconv1 (SeparableConv (None, 7, 7, 1536) 1582080 add_11[0][0] \n", + "activation_156 (Activation) (None, 1, 2, 176) 0 separable_conv_1_bn_normal_right1\n", "__________________________________________________________________________________________________\n", - "block14_sepconv1_bn (BatchNorma (None, 7, 7, 1536) 6144 block14_sepconv1[0][0] \n", + "activation_158 (Activation) (None, 1, 2, 176) 0 separable_conv_1_bn_normal_left2_\n", "__________________________________________________________________________________________________\n", - "block14_sepconv1_act (Activatio (None, 7, 7, 1536) 0 block14_sepconv1_bn[0][0] \n", + "activation_160 (Activation) (None, 1, 2, 176) 0 separable_conv_1_bn_normal_right2\n", "__________________________________________________________________________________________________\n", - "block14_sepconv2 (SeparableConv (None, 7, 7, 2048) 3159552 block14_sepconv1_act[0][0] \n", + "activation_162 (Activation) (None, 1, 2, 176) 0 separable_conv_1_bn_normal_left5_\n", "__________________________________________________________________________________________________\n", - "block14_sepconv2_bn (BatchNorma (None, 7, 7, 2048) 8192 block14_sepconv2[0][0] \n", + "separable_conv_2_normal_left1_1 (None, 1, 2, 176) 35376 activation_154[0][0] \n", "__________________________________________________________________________________________________\n", - "block14_sepconv2_act (Activatio (None, 7, 7, 2048) 0 block14_sepconv2_bn[0][0] \n", + "separable_conv_2_normal_right1_ (None, 1, 2, 176) 32560 activation_156[0][0] \n", "__________________________________________________________________________________________________\n", - "global_average_pooling2d (Globa (None, 2048) 0 block14_sepconv2_act[0][0] \n", + "separable_conv_2_normal_left2_1 (None, 1, 2, 176) 35376 activation_158[0][0] \n", "__________________________________________________________________________________________________\n", - "dense (Dense) (None, 5) 10245 global_average_pooling2d[0][0] \n", + "separable_conv_2_normal_right2_ (None, 1, 2, 176) 32560 activation_160[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left5_1 (None, 1, 2, 176) 32560 activation_162[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 1, 2, 176) 704 separable_conv_2_normal_left1_10[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 1, 2, 176) 704 separable_conv_2_normal_right1_10\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 1, 2, 176) 704 separable_conv_2_normal_left2_10[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 1, 2, 176) 704 separable_conv_2_normal_right2_10\n", + "__________________________________________________________________________________________________\n", + "normal_left3_10 (AveragePooling (None, 1, 2, 176) 0 normal_bn_1_10[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_left4_10 (AveragePooling (None, 1, 2, 176) 0 adjust_bn_10[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_right4_10 (AveragePoolin (None, 1, 2, 176) 0 adjust_bn_10[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 1, 2, 176) 704 separable_conv_2_normal_left5_10[\n", + "__________________________________________________________________________________________________\n", + "normal_add_1_10 (Add) (None, 1, 2, 176) 0 separable_conv_2_bn_normal_left1_\n", + " separable_conv_2_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "normal_add_2_10 (Add) (None, 1, 2, 176) 0 separable_conv_2_bn_normal_left2_\n", + " separable_conv_2_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "normal_add_3_10 (Add) (None, 1, 2, 176) 0 normal_left3_10[0][0] \n", + " adjust_bn_10[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_4_10 (Add) (None, 1, 2, 176) 0 normal_left4_10[0][0] \n", + " normal_right4_10[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_5_10 (Add) (None, 1, 2, 176) 0 separable_conv_2_bn_normal_left5_\n", + " normal_bn_1_10[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_concat_10 (Concatenate) (None, 1, 2, 1056) 0 adjust_bn_10[0][0] \n", + " normal_add_1_10[0][0] \n", + " normal_add_2_10[0][0] \n", + " normal_add_3_10[0][0] \n", + " normal_add_4_10[0][0] \n", + " normal_add_5_10[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_163 (Activation) (None, 1, 2, 1056) 0 normal_concat_9[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_164 (Activation) (None, 1, 2, 1056) 0 normal_concat_10[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_conv_projection_11 (Conv (None, 1, 2, 176) 185856 activation_163[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_conv_1_11 (Conv2D) (None, 1, 2, 176) 185856 activation_164[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_bn_11 (BatchNormalizatio (None, 1, 2, 176) 704 adjust_conv_projection_11[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_bn_1_11 (BatchNormalizat (None, 1, 2, 176) 704 normal_conv_1_11[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_165 (Activation) (None, 1, 2, 176) 0 normal_bn_1_11[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_167 (Activation) (None, 1, 2, 176) 0 adjust_bn_11[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_169 (Activation) (None, 1, 2, 176) 0 adjust_bn_11[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_171 (Activation) (None, 1, 2, 176) 0 adjust_bn_11[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_173 (Activation) (None, 1, 2, 176) 0 normal_bn_1_11[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left1_1 (None, 1, 2, 176) 35376 activation_165[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right1_ (None, 1, 2, 176) 32560 activation_167[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left2_1 (None, 1, 2, 176) 35376 activation_169[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right2_ (None, 1, 2, 176) 32560 activation_171[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left5_1 (None, 1, 2, 176) 32560 activation_173[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 1, 2, 176) 704 separable_conv_1_normal_left1_11[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 1, 2, 176) 704 separable_conv_1_normal_right1_11\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 1, 2, 176) 704 separable_conv_1_normal_left2_11[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 1, 2, 176) 704 separable_conv_1_normal_right2_11\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 1, 2, 176) 704 separable_conv_1_normal_left5_11[\n", + "__________________________________________________________________________________________________\n", + "activation_166 (Activation) (None, 1, 2, 176) 0 separable_conv_1_bn_normal_left1_\n", + "__________________________________________________________________________________________________\n", + "activation_168 (Activation) (None, 1, 2, 176) 0 separable_conv_1_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "activation_170 (Activation) (None, 1, 2, 176) 0 separable_conv_1_bn_normal_left2_\n", + "__________________________________________________________________________________________________\n", + "activation_172 (Activation) (None, 1, 2, 176) 0 separable_conv_1_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "activation_174 (Activation) (None, 1, 2, 176) 0 separable_conv_1_bn_normal_left5_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left1_1 (None, 1, 2, 176) 35376 activation_166[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right1_ (None, 1, 2, 176) 32560 activation_168[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left2_1 (None, 1, 2, 176) 35376 activation_170[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right2_ (None, 1, 2, 176) 32560 activation_172[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left5_1 (None, 1, 2, 176) 32560 activation_174[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 1, 2, 176) 704 separable_conv_2_normal_left1_11[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 1, 2, 176) 704 separable_conv_2_normal_right1_11\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 1, 2, 176) 704 separable_conv_2_normal_left2_11[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 1, 2, 176) 704 separable_conv_2_normal_right2_11\n", + "__________________________________________________________________________________________________\n", + "normal_left3_11 (AveragePooling (None, 1, 2, 176) 0 normal_bn_1_11[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_left4_11 (AveragePooling (None, 1, 2, 176) 0 adjust_bn_11[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_right4_11 (AveragePoolin (None, 1, 2, 176) 0 adjust_bn_11[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 1, 2, 176) 704 separable_conv_2_normal_left5_11[\n", + "__________________________________________________________________________________________________\n", + "normal_add_1_11 (Add) (None, 1, 2, 176) 0 separable_conv_2_bn_normal_left1_\n", + " separable_conv_2_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "normal_add_2_11 (Add) (None, 1, 2, 176) 0 separable_conv_2_bn_normal_left2_\n", + " separable_conv_2_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "normal_add_3_11 (Add) (None, 1, 2, 176) 0 normal_left3_11[0][0] \n", + " adjust_bn_11[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_4_11 (Add) (None, 1, 2, 176) 0 normal_left4_11[0][0] \n", + " normal_right4_11[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_5_11 (Add) (None, 1, 2, 176) 0 separable_conv_2_bn_normal_left5_\n", + " normal_bn_1_11[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_concat_11 (Concatenate) (None, 1, 2, 1056) 0 adjust_bn_11[0][0] \n", + " normal_add_1_11[0][0] \n", + " normal_add_2_11[0][0] \n", + " normal_add_3_11[0][0] \n", + " normal_add_4_11[0][0] \n", + " normal_add_5_11[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_175 (Activation) (None, 1, 2, 1056) 0 normal_concat_10[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_176 (Activation) (None, 1, 2, 1056) 0 normal_concat_11[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_conv_projection_12 (Conv (None, 1, 2, 176) 185856 activation_175[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_conv_1_12 (Conv2D) (None, 1, 2, 176) 185856 activation_176[0][0] \n", + "__________________________________________________________________________________________________\n", + "adjust_bn_12 (BatchNormalizatio (None, 1, 2, 176) 704 adjust_conv_projection_12[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_bn_1_12 (BatchNormalizat (None, 1, 2, 176) 704 normal_conv_1_12[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_177 (Activation) (None, 1, 2, 176) 0 normal_bn_1_12[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_179 (Activation) (None, 1, 2, 176) 0 adjust_bn_12[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_181 (Activation) (None, 1, 2, 176) 0 adjust_bn_12[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_183 (Activation) (None, 1, 2, 176) 0 adjust_bn_12[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_185 (Activation) (None, 1, 2, 176) 0 normal_bn_1_12[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left1_1 (None, 1, 2, 176) 35376 activation_177[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right1_ (None, 1, 2, 176) 32560 activation_179[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left2_1 (None, 1, 2, 176) 35376 activation_181[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_right2_ (None, 1, 2, 176) 32560 activation_183[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_normal_left5_1 (None, 1, 2, 176) 32560 activation_185[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 1, 2, 176) 704 separable_conv_1_normal_left1_12[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 1, 2, 176) 704 separable_conv_1_normal_right1_12\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 1, 2, 176) 704 separable_conv_1_normal_left2_12[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_righ (None, 1, 2, 176) 704 separable_conv_1_normal_right2_12\n", + "__________________________________________________________________________________________________\n", + "separable_conv_1_bn_normal_left (None, 1, 2, 176) 704 separable_conv_1_normal_left5_12[\n", + "__________________________________________________________________________________________________\n", + "activation_178 (Activation) (None, 1, 2, 176) 0 separable_conv_1_bn_normal_left1_\n", + "__________________________________________________________________________________________________\n", + "activation_180 (Activation) (None, 1, 2, 176) 0 separable_conv_1_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "activation_182 (Activation) (None, 1, 2, 176) 0 separable_conv_1_bn_normal_left2_\n", + "__________________________________________________________________________________________________\n", + "activation_184 (Activation) (None, 1, 2, 176) 0 separable_conv_1_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "activation_186 (Activation) (None, 1, 2, 176) 0 separable_conv_1_bn_normal_left5_\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left1_1 (None, 1, 2, 176) 35376 activation_178[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right1_ (None, 1, 2, 176) 32560 activation_180[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left2_1 (None, 1, 2, 176) 35376 activation_182[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_right2_ (None, 1, 2, 176) 32560 activation_184[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_normal_left5_1 (None, 1, 2, 176) 32560 activation_186[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 1, 2, 176) 704 separable_conv_2_normal_left1_12[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 1, 2, 176) 704 separable_conv_2_normal_right1_12\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 1, 2, 176) 704 separable_conv_2_normal_left2_12[\n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_righ (None, 1, 2, 176) 704 separable_conv_2_normal_right2_12\n", + "__________________________________________________________________________________________________\n", + "normal_left3_12 (AveragePooling (None, 1, 2, 176) 0 normal_bn_1_12[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_left4_12 (AveragePooling (None, 1, 2, 176) 0 adjust_bn_12[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_right4_12 (AveragePoolin (None, 1, 2, 176) 0 adjust_bn_12[0][0] \n", + "__________________________________________________________________________________________________\n", + "separable_conv_2_bn_normal_left (None, 1, 2, 176) 704 separable_conv_2_normal_left5_12[\n", + "__________________________________________________________________________________________________\n", + "normal_add_1_12 (Add) (None, 1, 2, 176) 0 separable_conv_2_bn_normal_left1_\n", + " separable_conv_2_bn_normal_right1\n", + "__________________________________________________________________________________________________\n", + "normal_add_2_12 (Add) (None, 1, 2, 176) 0 separable_conv_2_bn_normal_left2_\n", + " separable_conv_2_bn_normal_right2\n", + "__________________________________________________________________________________________________\n", + "normal_add_3_12 (Add) (None, 1, 2, 176) 0 normal_left3_12[0][0] \n", + " adjust_bn_12[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_4_12 (Add) (None, 1, 2, 176) 0 normal_left4_12[0][0] \n", + " normal_right4_12[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_add_5_12 (Add) (None, 1, 2, 176) 0 separable_conv_2_bn_normal_left5_\n", + " normal_bn_1_12[0][0] \n", + "__________________________________________________________________________________________________\n", + "normal_concat_12 (Concatenate) (None, 1, 2, 1056) 0 adjust_bn_12[0][0] \n", + " normal_add_1_12[0][0] \n", + " normal_add_2_12[0][0] \n", + " normal_add_3_12[0][0] \n", + " normal_add_4_12[0][0] \n", + " normal_add_5_12[0][0] \n", + "__________________________________________________________________________________________________\n", + "activation_187 (Activation) (None, 1, 2, 1056) 0 normal_concat_12[0][0] \n", + "__________________________________________________________________________________________________\n", + "global_average_pooling2d (Globa (None, 1056) 0 activation_187[0][0] \n", + "__________________________________________________________________________________________________\n", + "dense (Dense) (None, 2) 2114 global_average_pooling2d[0][0] \n", "==================================================================================================\n", - "Total params: 20,871,725\n", - "Trainable params: 20,817,197\n", - "Non-trainable params: 54,528\n", + "Total params: 4,271,254\n", + "Trainable params: 4,234,516\n", + "Non-trainable params: 36,738\n", "__________________________________________________________________________________________________\n", - "None\n", - "Found 146 images belonging to 7 classes.\n", - "Found 34 images belonging to 7 classes.\n" + "None\n" ] }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "WARNING:tensorflow:sample_weight modes were coerced from\n", - " ...\n", - " to \n", - " ['...']\n", - "WARNING:tensorflow:sample_weight modes were coerced from\n", - " ...\n", - " to \n", - " ['...']\n", - "Train for 58 steps, validate for 13 steps\n", - "Epoch 1/20\n", - "57/58 [============================>.] - ETA: 0s - loss: 15.7914 - accuracy: 0.0614\n", - "Epoch 00001: val_loss improved from inf to 16.76773, saving model to /home/dlsaavedra/Desktop/Rentadrone.cl-ai-test&SomeCode/model-definition/GPS_Panel/Classifier/model/top_model_weights.h5\n", - "58/58 [==============================] - 50s 862ms/step - loss: 15.5191 - accuracy: 0.0603 - val_loss: 16.7677 - val_accuracy: 0.0000e+00\n", - "Epoch 2/20\n", - "57/58 [============================>.] - ETA: 0s - loss: 15.5472 - accuracy: 0.0088\n", - "Epoch 00002: val_loss did not improve from 16.76773\n", - "58/58 [==============================] - 49s 837ms/step - loss: 15.7657 - accuracy: 0.0086 - val_loss: 22.9064 - val_accuracy: 0.0000e+00\n", - "Epoch 3/20\n", - "57/58 [============================>.] - ETA: 0s - loss: 15.3652 - accuracy: 0.0175\n", - "Epoch 00003: val_loss did not improve from 16.76773\n", - "58/58 [==============================] - 50s 871ms/step - loss: 15.2392 - accuracy: 0.0172 - val_loss: 157.1759 - val_accuracy: 0.1154\n", - "Epoch 4/20\n", - "57/58 [============================>.] - ETA: 0s - loss: 15.9721 - accuracy: 0.0439\n", - "Epoch 00004: val_loss did not improve from 16.76773\n", - "58/58 [==============================] - 52s 895ms/step - loss: 15.7661 - accuracy: 0.0431 - val_loss: 1889.7077 - val_accuracy: 0.0000e+00\n", - "Epoch 5/20\n", - "57/58 [============================>.] - ETA: 1s - loss: 16.8935 - accuracy: 0.0175\n", - "Epoch 00005: val_loss did not improve from 16.76773\n", - "58/58 [==============================] - 73s 1s/step - loss: 16.7411 - accuracy: 0.0172 - val_loss: 139.8746 - val_accuracy: 0.0000e+00\n", - "Epoch 6/20\n", - "57/58 [============================>.] - ETA: 1s - loss: 14.6952 - accuracy: 0.0088\n", - "Epoch 00006: val_loss did not improve from 16.76773\n", - "58/58 [==============================] - 76s 1s/step - loss: 14.5113 - accuracy: 0.0086 - val_loss: 60.4487 - val_accuracy: 0.0000e+00\n", - "Epoch 7/20\n", - "57/58 [============================>.] - ETA: 1s - loss: 15.6087 - accuracy: 0.0000e+00\n", - "Epoch 00007: val_loss did not improve from 16.76773\n", - "58/58 [==============================] - 74s 1s/step - loss: 15.5478 - accuracy: 0.0000e+00 - val_loss: 16.9469 - val_accuracy: 0.1538\n", - "Epoch 8/20\n", - "57/58 [============================>.] - ETA: 0s - loss: 14.4803 - accuracy: 0.0088\n", - "Epoch 00008: val_loss did not improve from 16.76773\n", - "58/58 [==============================] - 57s 978ms/step - loss: 14.5081 - accuracy: 0.0086 - val_loss: 22.4798 - val_accuracy: 0.0769\n", - "Epoch 9/20\n", - "57/58 [============================>.] - ETA: 0s - loss: 15.5354 - accuracy: 0.0088\n", - "Epoch 00009: val_loss did not improve from 16.76773\n", - "58/58 [==============================] - 55s 955ms/step - loss: 15.6145 - accuracy: 0.0086 - val_loss: 17.0278 - val_accuracy: 0.0000e+00\n", - "Epoch 10/20\n", - "57/58 [============================>.] - ETA: 0s - loss: 15.6774 - accuracy: 0.0439\n", - "Epoch 00010: val_loss improved from 16.76773 to 16.71888, saving model to /home/dlsaavedra/Desktop/Rentadrone.cl-ai-test&SomeCode/model-definition/GPS_Panel/Classifier/model/top_model_weights.h5\n", - "58/58 [==============================] - 57s 977ms/step - loss: 15.5459 - accuracy: 0.0431 - val_loss: 16.7189 - val_accuracy: 0.8846\n", - "Epoch 11/20\n", - "57/58 [============================>.] - ETA: 0s - loss: 15.9579 - accuracy: 0.0702\n", - "Epoch 00011: val_loss improved from 16.71888 to 16.71781, saving model to /home/dlsaavedra/Desktop/Rentadrone.cl-ai-test&SomeCode/model-definition/GPS_Panel/Classifier/model/top_model_weights.h5\n", - "58/58 [==============================] - 53s 914ms/step - loss: 16.0992 - accuracy: 0.0690 - val_loss: 16.7178 - val_accuracy: 0.0000e+00\n", - "Epoch 12/20\n", - "57/58 [============================>.] - ETA: 0s - loss: 16.5248 - accuracy: 0.1228\n", - "Epoch 00012: val_loss did not improve from 16.71781\n", - "58/58 [==============================] - 51s 871ms/step - loss: 16.3787 - accuracy: 0.1207 - val_loss: 16.7196 - val_accuracy: 0.0000e+00\n", - "Epoch 13/20\n", - "57/58 [============================>.] - ETA: 0s - loss: 15.2509 - accuracy: 0.0439\n", - "Epoch 00013: val_loss did not improve from 16.71781\n", - "58/58 [==============================] - 51s 885ms/step - loss: 15.3349 - accuracy: 0.0431 - val_loss: 16.7209 - val_accuracy: 0.0000e+00\n", - "Epoch 14/20\n", - "57/58 [============================>.] - ETA: 0s - loss: 15.8867 - accuracy: 0.0351\n", - "Epoch 00014: val_loss did not improve from 16.71781\n", - "58/58 [==============================] - 59s 1s/step - loss: 15.7515 - accuracy: 0.0345 - val_loss: 17.0744 - val_accuracy: 0.0000e+00\n", - "Epoch 15/20\n", - "57/58 [============================>.] - ETA: 1s - loss: 15.5322 - accuracy: 0.0088 \n", - "Epoch 00015: val_loss did not improve from 16.71781\n", - "58/58 [==============================] - 64s 1s/step - loss: 15.4726 - accuracy: 0.0086 - val_loss: 18.1466 - val_accuracy: 0.0000e+00\n", - "Epoch 16/20\n", - "57/58 [============================>.] - ETA: 0s - loss: 15.5316 - accuracy: 0.0000e+00\n", - "Epoch 00016: val_loss did not improve from 16.71781\n", - "58/58 [==============================] - 58s 993ms/step - loss: 15.7495 - accuracy: 0.0000e+00 - val_loss: 17.3060 - val_accuracy: 0.0000e+00\n", - "Epoch 17/20\n", - "57/58 [============================>.] - ETA: 0s - loss: 15.5314 - accuracy: 0.0000e+00\n", - "Epoch 00017: val_loss did not improve from 16.71781\n", - "58/58 [==============================] - 51s 881ms/step - loss: 15.6105 - accuracy: 0.0000e+00 - val_loss: 18.0962 - val_accuracy: 0.0000e+00\n", - "Epoch 18/20\n", - "57/58 [============================>.] - ETA: 0s - loss: 15.3194 - accuracy: 0.0000e+00\n", - "Epoch 00018: val_loss did not improve from 16.71781\n", - "58/58 [==============================] - 54s 935ms/step - loss: 15.2634 - accuracy: 0.0000e+00 - val_loss: 22.3874 - val_accuracy: 0.0000e+00\n", - "Epoch 19/20\n", - "57/58 [============================>.] - ETA: 0s - loss: 15.8838 - accuracy: 0.0175\n", - "Epoch 00019: val_loss did not improve from 16.71781\n", - "58/58 [==============================] - 54s 932ms/step - loss: 16.0262 - accuracy: 0.0259 - val_loss: 20.3104 - val_accuracy: 0.0000e+00\n", - "Epoch 20/20\n", - "57/58 [============================>.] - ETA: 0s - loss: 16.5897 - accuracy: 0.0175\n", - "Epoch 00020: val_loss did not improve from 16.71781\n", - "58/58 [==============================] - 55s 951ms/step - loss: 16.5119 - accuracy: 0.0172 - val_loss: 16.8419 - val_accuracy: 0.0769\n" - ] + "data": { + "text/plain": [ + "'\\nmodel = tf.keras.Sequential(\\n [\\n tf.keras.Input(shape=(img_width, img_height, 3)),\\n tf.keras.layers.Conv2D(32, kernel_size=(3, 3), activation=\"relu\"),\\n tf.keras.layers.MaxPooling2D(pool_size=(2, 2)),\\n tf.keras.layers.Conv2D(32, kernel_size=(3, 3), activation=\"relu\"),\\n tf.keras.layers.MaxPooling2D(pool_size=(2, 2)),\\n tf.keras.layers.Conv2D(32, kernel_size=(3, 3), activation=\"relu\"),\\n tf.keras.layers.MaxPooling2D(pool_size=(2, 2)),\\n tf.keras.layers.Flatten(),\\n tf.keras.layers.Dropout(0.5),\\n tf.keras.layers.Dense(nb_classes, activation=\"softmax\"),\\n ]\\n)\\n\\nmodel.summary()\\n'" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ "\n", - "\n", - "base_model = tf.keras.applications.Xception(input_shape=(img_width, img_height, 3), weights='imagenet', include_top=False)\n", - "#base_model = tf.keras.applications.MobileNetV2(input_shape=(img_width, img_height, 3), weights='imagenet', include_top=False)\n", - "#base_model = tf.keras.applications.NASNetMobile(input_shape=(img_width, img_height, 3), weights='imagenet', include_top=False)\n", - "\n", + "#base_model = tf.keras.applications.Xception(input_shape=(img_width, img_height, 3), weights='imagenet', include_top=False)\n", + "#base_model = tf.keras.applications.MobileNetV2(input_shape=(img_width, img_height, 1), weights=None, include_top=False)\n", + "base_model = tf.keras.applications.NASNetMobile(input_shape=(img_width, img_height, 1), weights=None, include_top=False) \n", + "#base_model = tf.keras.applications.Xception(input_shape=(img_width, img_height, 1), weights=None, include_top=False) \n", "\n", "# Top Model Block\n", "x = base_model.output\n", @@ -25981,7 +1807,6 @@ "# add your top layer block to your base model\n", "model = tf.keras.Model(base_model.input, predictions)\n", "\n", - "\n", "# # let's visualize layer names and layer indices to see how many layers/blocks to re-train\n", "# # uncomment when choosing based_model_last_block_layer\n", "# for i, layer in enumerate(model.layers):\n", @@ -25993,32 +1818,828 @@ " layer.trainable = True\n", "\n", "print(model.summary())\n", + "\n", + "\"\"\"\n", + "model = tf.keras.Sequential(\n", + " [\n", + " tf.keras.Input(shape=(img_width, img_height, 3)),\n", + " tf.keras.layers.Conv2D(32, kernel_size=(3, 3), activation=\"relu\"),\n", + " tf.keras.layers.MaxPooling2D(pool_size=(2, 2)),\n", + " tf.keras.layers.Conv2D(32, kernel_size=(3, 3), activation=\"relu\"),\n", + " tf.keras.layers.MaxPooling2D(pool_size=(2, 2)),\n", + " tf.keras.layers.Conv2D(32, kernel_size=(3, 3), activation=\"relu\"),\n", + " tf.keras.layers.MaxPooling2D(pool_size=(2, 2)),\n", + " tf.keras.layers.Flatten(),\n", + " tf.keras.layers.Dropout(0.5),\n", + " tf.keras.layers.Dense(nb_classes, activation=\"softmax\"),\n", + " ]\n", + ")\n", + "\n", + "model.summary()\n", + "\"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Found 1511 images belonging to 2 classes.\n", + "Found 377 images belonging to 2 classes.\n", + "WARNING:tensorflow:sample_weight modes were coerced from\n", + " ...\n", + " to \n", + " ['...']\n", + "WARNING:tensorflow:sample_weight modes were coerced from\n", + " ...\n", + " to \n", + " ['...']\n", + "Train for 302 steps, validate for 75 steps\n", + "Epoch 1/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.8129 - accuracy: 0.4875\n", + "Epoch 00001: val_loss improved from inf to 4.80805, saving model to /home/dlsaavedra/Desktop/Rentadrone.cl-ai-test&SomeCode/model-definition/GPS_Panel/Classifier/model_2/top_model_weights.h5\n", + "302/302 [==============================] - 53s 177ms/step - loss: 0.8136 - accuracy: 0.4884 - val_loss: 4.8080 - val_accuracy: 1.0000\n", + "Epoch 2/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.8003 - accuracy: 0.4464\n", + "Epoch 00002: val_loss improved from 4.80805 to 1.74620, saving model to /home/dlsaavedra/Desktop/Rentadrone.cl-ai-test&SomeCode/model-definition/GPS_Panel/Classifier/model_2/top_model_weights.h5\n", + "302/302 [==============================] - 27s 88ms/step - loss: 0.8011 - accuracy: 0.4466 - val_loss: 1.7462 - val_accuracy: 0.8133\n", + "Epoch 3/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7712 - accuracy: 0.3970\n", + "Epoch 00003: val_loss improved from 1.74620 to 0.86740, saving model to /home/dlsaavedra/Desktop/Rentadrone.cl-ai-test&SomeCode/model-definition/GPS_Panel/Classifier/model_2/top_model_weights.h5\n", + "302/302 [==============================] - 29s 97ms/step - loss: 0.7710 - accuracy: 0.3982 - val_loss: 0.8674 - val_accuracy: 0.8667\n", + "Epoch 4/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7743 - accuracy: 0.5274\n", + "Epoch 00004: val_loss improved from 0.86740 to 0.75537, saving model to /home/dlsaavedra/Desktop/Rentadrone.cl-ai-test&SomeCode/model-definition/GPS_Panel/Classifier/model_2/top_model_weights.h5\n", + "302/302 [==============================] - 28s 91ms/step - loss: 0.7740 - accuracy: 0.5273 - val_loss: 0.7554 - val_accuracy: 0.9267\n", + "Epoch 5/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7839 - accuracy: 0.6271\n", + "Epoch 00005: val_loss improved from 0.75537 to 0.74694, saving model to /home/dlsaavedra/Desktop/Rentadrone.cl-ai-test&SomeCode/model-definition/GPS_Panel/Classifier/model_2/top_model_weights.h5\n", + "302/302 [==============================] - 28s 92ms/step - loss: 0.7825 - accuracy: 0.6283 - val_loss: 0.7469 - val_accuracy: 0.2133\n", + "Epoch 6/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7700 - accuracy: 0.6121\n", + "Epoch 00006: val_loss did not improve from 0.74694\n", + "302/302 [==============================] - 26s 87ms/step - loss: 0.7698 - accuracy: 0.6118 - val_loss: 0.7491 - val_accuracy: 0.0000e+00\n", + "Epoch 7/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7796 - accuracy: 0.5520\n", + "Epoch 00007: val_loss improved from 0.74694 to 0.74501, saving model to /home/dlsaavedra/Desktop/Rentadrone.cl-ai-test&SomeCode/model-definition/GPS_Panel/Classifier/model_2/top_model_weights.h5\n", + "302/302 [==============================] - 28s 91ms/step - loss: 0.7804 - accuracy: 0.5510 - val_loss: 0.7450 - val_accuracy: 0.8833\n", + "Epoch 8/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7803 - accuracy: 0.5295\n", + "Epoch 00008: val_loss did not improve from 0.74501\n", + "302/302 [==============================] - 26s 86ms/step - loss: 0.7800 - accuracy: 0.5286 - val_loss: 0.7602 - val_accuracy: 0.9700\n", + "Epoch 9/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7753 - accuracy: 0.5021\n", + "Epoch 00009: val_loss did not improve from 0.74501\n", + "302/302 [==============================] - 26s 86ms/step - loss: 0.7762 - accuracy: 0.5012 - val_loss: 0.7533 - val_accuracy: 1.0000\n", + "Epoch 10/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7586 - accuracy: 0.5470\n", + "Epoch 00010: val_loss improved from 0.74501 to 0.74411, saving model to /home/dlsaavedra/Desktop/Rentadrone.cl-ai-test&SomeCode/model-definition/GPS_Panel/Classifier/model_2/top_model_weights.h5\n", + "302/302 [==============================] - 27s 91ms/step - loss: 0.7596 - accuracy: 0.5460 - val_loss: 0.7441 - val_accuracy: 0.6000\n", + "Epoch 11/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7865 - accuracy: 0.4975\n", + "Epoch 00011: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 26s 86ms/step - loss: 0.7862 - accuracy: 0.4992 - val_loss: 0.7442 - val_accuracy: 0.7400\n", + "Epoch 12/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7701 - accuracy: 0.5166\n", + "Epoch 00012: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 26s 87ms/step - loss: 0.7710 - accuracy: 0.5157 - val_loss: 0.7484 - val_accuracy: 0.9700\n", + "Epoch 13/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7850 - accuracy: 0.5436\n", + "Epoch 00013: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 26s 87ms/step - loss: 0.7824 - accuracy: 0.5452 - val_loss: 0.7456 - val_accuracy: 0.8833\n", + "Epoch 14/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7870 - accuracy: 0.5137\n", + "Epoch 00014: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 26s 87ms/step - loss: 0.7867 - accuracy: 0.5145 - val_loss: 0.7480 - val_accuracy: 0.9133\n", + "Epoch 15/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7820 - accuracy: 0.4988\n", + "Epoch 00015: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 26s 86ms/step - loss: 0.7840 - accuracy: 0.4996 - val_loss: 0.7802 - val_accuracy: 0.9700\n", + "Epoch 16/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7658 - accuracy: 0.4921\n", + "Epoch 00016: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 26s 87ms/step - loss: 0.7667 - accuracy: 0.4921 - val_loss: 0.7669 - val_accuracy: 0.9600\n", + "Epoch 17/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7635 - accuracy: 0.4938\n", + "Epoch 00017: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 26s 86ms/step - loss: 0.7644 - accuracy: 0.4930 - val_loss: 0.7685 - val_accuracy: 1.0000\n", + "Epoch 18/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7780 - accuracy: 0.5004\n", + "Epoch 00018: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 26s 86ms/step - loss: 0.7777 - accuracy: 0.4988 - val_loss: 0.7746 - val_accuracy: 1.0000\n", + "Epoch 19/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7775 - accuracy: 0.4356\n", + "Epoch 00019: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 26s 87ms/step - loss: 0.7784 - accuracy: 0.4350 - val_loss: 0.7941 - val_accuracy: 1.0000\n", + "Epoch 20/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7569 - accuracy: 0.4705\n", + "Epoch 00020: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 26s 87ms/step - loss: 0.7567 - accuracy: 0.4698 - val_loss: 0.8164 - val_accuracy: 1.0000\n", + "Epoch 21/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7728 - accuracy: 0.4651\n", + "Epoch 00021: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 26s 87ms/step - loss: 0.7703 - accuracy: 0.4669 - val_loss: 0.8269 - val_accuracy: 1.0000\n", + "Epoch 22/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7599 - accuracy: 0.4530\n", + "Epoch 00022: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 26s 87ms/step - loss: 0.7596 - accuracy: 0.4532 - val_loss: 0.8224 - val_accuracy: 1.0000\n", + "Epoch 23/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7759 - accuracy: 0.4228\n", + "Epoch 00023: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 26s 87ms/step - loss: 0.7779 - accuracy: 0.4222 - val_loss: 0.8362 - val_accuracy: 1.0000\n", + "Epoch 24/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7794 - accuracy: 0.4161\n", + "Epoch 00024: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 27s 88ms/step - loss: 0.7792 - accuracy: 0.4164 - val_loss: 0.8070 - val_accuracy: 1.0000\n", + "Epoch 25/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7848 - accuracy: 0.4518\n", + "Epoch 00025: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 26s 87ms/step - loss: 0.7833 - accuracy: 0.4528 - val_loss: 0.8218 - val_accuracy: 1.0000\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch 26/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7792 - accuracy: 0.4879\n", + "Epoch 00026: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 29s 95ms/step - loss: 0.7789 - accuracy: 0.4880 - val_loss: 0.8188 - val_accuracy: 1.0000\n", + "Epoch 27/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7606 - accuracy: 0.4485\n", + "Epoch 00027: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 29s 96ms/step - loss: 0.7615 - accuracy: 0.4478 - val_loss: 0.7667 - val_accuracy: 1.0000\n", + "Epoch 28/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7733 - accuracy: 0.4663\n", + "Epoch 00028: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 27s 89ms/step - loss: 0.7731 - accuracy: 0.4673 - val_loss: 0.7690 - val_accuracy: 1.0000\n", + "Epoch 29/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7709 - accuracy: 0.4763\n", + "Epoch 00029: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 26s 86ms/step - loss: 0.7718 - accuracy: 0.4780 - val_loss: 0.7542 - val_accuracy: 1.0000\n", + "Epoch 30/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7863 - accuracy: 0.4389\n", + "Epoch 00030: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 25s 83ms/step - loss: 0.7848 - accuracy: 0.4408 - val_loss: 0.7531 - 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0.4347\n", + "Epoch 00037: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 25s 83ms/step - loss: 0.7861 - accuracy: 0.4341 - val_loss: 0.7785 - val_accuracy: 1.0000\n", + "Epoch 38/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7687 - accuracy: 0.4073\n", + "Epoch 00038: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 25s 83ms/step - loss: 0.7686 - accuracy: 0.4068 - val_loss: 0.8420 - val_accuracy: 1.0000\n", + "Epoch 39/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7694 - accuracy: 0.4555\n", + "Epoch 00039: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 25s 84ms/step - loss: 0.7715 - accuracy: 0.4557 - val_loss: 0.8583 - val_accuracy: 1.0000\n", + "Epoch 40/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7752 - accuracy: 0.4190\n", + "Epoch 00040: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 25s 83ms/step - loss: 0.7761 - accuracy: 0.4184 - val_loss: 0.8174 - val_accuracy: 1.0000\n", + "Epoch 41/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7805 - accuracy: 0.4015\n", + "Epoch 00041: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 25s 83ms/step - loss: 0.7814 - accuracy: 0.4002 - val_loss: 0.7887 - val_accuracy: 1.0000\n", + "Epoch 42/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7875 - accuracy: 0.4098\n", + "Epoch 00042: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 25s 83ms/step - loss: 0.7872 - accuracy: 0.4101 - val_loss: 0.8108 - val_accuracy: 1.0000\n", + "Epoch 43/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7771 - accuracy: 0.4256\n", + "Epoch 00043: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 25s 83ms/step - loss: 0.7768 - accuracy: 0.4258 - val_loss: 0.7922 - val_accuracy: 1.0000\n", + "Epoch 44/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7761 - accuracy: 0.4331\n", + "Epoch 00044: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 25s 83ms/step - loss: 0.7759 - accuracy: 0.4333 - val_loss: 0.7728 - val_accuracy: 0.9967\n", + "Epoch 45/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7671 - accuracy: 0.4439\n", + "Epoch 00045: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 25s 83ms/step - loss: 0.7657 - accuracy: 0.4457 - val_loss: 0.7682 - val_accuracy: 0.9933\n", + "Epoch 46/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7696 - accuracy: 0.4372\n", + "Epoch 00046: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 25s 84ms/step - loss: 0.7694 - accuracy: 0.4374 - val_loss: 0.7857 - val_accuracy: 0.9733\n", + "Epoch 47/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7748 - accuracy: 0.4630\n", + "Epoch 00047: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 25s 83ms/step - loss: 0.7746 - accuracy: 0.4640 - val_loss: 0.8694 - val_accuracy: 0.9067\n", + "Epoch 48/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7586 - accuracy: 0.4738\n", + "Epoch 00048: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 25s 84ms/step - loss: 0.7607 - accuracy: 0.4722 - val_loss: 1.0086 - val_accuracy: 0.8200\n", + "Epoch 49/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7781 - accuracy: 0.4190\n", + "Epoch 00049: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 26s 85ms/step - loss: 0.7790 - accuracy: 0.4176 - val_loss: 0.9529 - val_accuracy: 0.8367\n", + "Epoch 50/500\n", + "301/302 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0.4510\n", + "Epoch 00053: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 25s 83ms/step - loss: 0.7908 - accuracy: 0.4512 - val_loss: 0.9211 - val_accuracy: 0.7567\n", + "Epoch 54/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7599 - accuracy: 0.4206\n", + "Epoch 00054: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 25s 83ms/step - loss: 0.7596 - accuracy: 0.4209 - val_loss: 1.0797 - val_accuracy: 0.7333\n", + "Epoch 55/500\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "301/302 [============================>.] - ETA: 0s - loss: 0.7825 - accuracy: 0.4331\n", + "Epoch 00055: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 25s 83ms/step - loss: 0.7834 - accuracy: 0.4333 - val_loss: 1.1013 - val_accuracy: 0.6667\n", + "Epoch 56/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7827 - accuracy: 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0.7703 - accuracy: 0.4706 - val_loss: 0.8803 - val_accuracy: 0.5067\n", + "Epoch 98/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7894 - accuracy: 0.4738\n", + "Epoch 00098: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 25s 83ms/step - loss: 0.7880 - accuracy: 0.4731 - val_loss: 0.8777 - val_accuracy: 0.4800\n", + "Epoch 99/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7675 - accuracy: 0.5012\n", + "Epoch 00099: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 25s 83ms/step - loss: 0.7685 - accuracy: 0.5012 - val_loss: 0.8756 - val_accuracy: 0.0900\n", + "Epoch 100/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7732 - accuracy: 0.4668\n", + "Epoch 00100: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 25s 83ms/step - loss: 0.7730 - accuracy: 0.4669 - val_loss: 0.8951 - val_accuracy: 0.4667\n", + "Epoch 101/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7649 - accuracy: 0.5046\n", + "Epoch 00101: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 25s 83ms/step - loss: 0.7658 - accuracy: 0.5037 - val_loss: 1.0292 - val_accuracy: 0.4800\n", + "Epoch 102/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7954 - accuracy: 0.4622\n", + "Epoch 00102: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 25s 84ms/step - loss: 0.7962 - accuracy: 0.4615 - val_loss: 0.8690 - val_accuracy: 0.4700\n", + "Epoch 103/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7960 - accuracy: 0.4618\n", + "Epoch 00103: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 25s 83ms/step - loss: 0.7957 - accuracy: 0.4611 - val_loss: 1.1179 - val_accuracy: 0.4967\n", + "Epoch 104/500\n", + "301/302 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accuracy: 0.4734\n", + "Epoch 00107: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 25s 83ms/step - loss: 0.7739 - accuracy: 0.4727 - val_loss: 0.7741 - val_accuracy: 0.4967\n", + "Epoch 108/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7817 - accuracy: 0.4871\n", + "Epoch 00108: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 25s 83ms/step - loss: 0.7814 - accuracy: 0.4880 - val_loss: 0.9330 - val_accuracy: 0.0933\n", + "Epoch 109/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7806 - accuracy: 0.4904\n", + "Epoch 00109: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 25s 84ms/step - loss: 0.7815 - accuracy: 0.4905 - val_loss: 0.8704 - val_accuracy: 0.5000\n", + "Epoch 110/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7719 - accuracy: 0.4846\n", + "Epoch 00110: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 25s 84ms/step - loss: 0.7716 - accuracy: 0.4855 - val_loss: 0.9052 - val_accuracy: 0.6067\n", + "Epoch 111/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7889 - accuracy: 0.5075\n", + "Epoch 00111: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 25s 84ms/step - loss: 0.7863 - accuracy: 0.5075 - val_loss: 0.9542 - val_accuracy: 0.5067\n", + "Epoch 112/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.8062 - accuracy: 0.4817\n", + "Epoch 00112: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 25s 84ms/step - loss: 0.8058 - accuracy: 0.4810 - val_loss: 0.8221 - val_accuracy: 0.4500\n", + "Epoch 113/500\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "301/302 [============================>.] - ETA: 0s - loss: 0.7936 - accuracy: 0.4846\n", + "Epoch 00113: val_loss did not improve 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val_accuracy: 0.3367\n", + "Epoch 136/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7758 - accuracy: 0.6118\n", + "Epoch 00136: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 25s 84ms/step - loss: 0.7756 - accuracy: 0.6123 - val_loss: 0.8101 - val_accuracy: 0.2367\n", + "Epoch 137/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7720 - accuracy: 0.5797\n", + "Epoch 00137: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 25s 83ms/step - loss: 0.7718 - accuracy: 0.5803 - val_loss: 0.7720 - val_accuracy: 0.3133\n", + "Epoch 138/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7927 - accuracy: 0.5594\n", + "Epoch 00138: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 25s 84ms/step - loss: 0.7924 - accuracy: 0.5592 - val_loss: 0.7593 - val_accuracy: 0.3967\n", + "Epoch 139/500\n", + "301/302 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83ms/step - loss: 0.7727 - accuracy: 0.5687 - val_loss: 0.9300 - val_accuracy: 0.3067\n", + "Epoch 152/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7759 - accuracy: 0.5594\n", + "Epoch 00152: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 25s 83ms/step - loss: 0.7744 - accuracy: 0.5576 - val_loss: 0.7973 - val_accuracy: 0.2600\n", + "Epoch 153/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7659 - accuracy: 0.5631\n", + "Epoch 00153: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 25s 83ms/step - loss: 0.7656 - accuracy: 0.5637 - val_loss: 0.7591 - val_accuracy: 0.0767\n", + "Epoch 154/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7662 - accuracy: 0.5432\n", + "Epoch 00154: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 25s 83ms/step - loss: 0.7648 - accuracy: 0.5422 - val_loss: 0.8611 - val_accuracy: 0.4800\n", + "Epoch 155/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7706 - accuracy: 0.5025\n", + "Epoch 00155: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 25s 83ms/step - loss: 0.7715 - accuracy: 0.5025 - val_loss: 0.7661 - val_accuracy: 0.6867\n", + "Epoch 156/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7652 - accuracy: 0.5100\n", + "Epoch 00156: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 27s 89ms/step - loss: 0.7649 - accuracy: 0.5091 - val_loss: 0.7585 - val_accuracy: 0.4467\n", + "Epoch 157/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7882 - accuracy: 0.5420\n", + "Epoch 00157: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 25s 84ms/step - loss: 0.7890 - accuracy: 0.5427 - val_loss: 0.7546 - val_accuracy: 0.3600\n", + "Epoch 158/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7577 - accuracy: 0.5503\n", + "Epoch 00158: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 25s 84ms/step - loss: 0.7575 - accuracy: 0.5485 - val_loss: 0.7602 - val_accuracy: 0.1867\n", + "Epoch 159/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7823 - accuracy: 0.5320\n", + "Epoch 00159: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 25s 83ms/step - loss: 0.7820 - accuracy: 0.5319 - val_loss: 0.7984 - val_accuracy: 0.7500\n", + "Epoch 160/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7747 - accuracy: 0.5278\n", + "Epoch 00160: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 25s 83ms/step - loss: 0.7756 - accuracy: 0.5286 - val_loss: 0.8000 - val_accuracy: 0.6167\n", + "Epoch 161/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7843 - accuracy: 0.5303\n", + "Epoch 00161: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 25s 83ms/step - loss: 0.7840 - accuracy: 0.5302 - val_loss: 0.7663 - val_accuracy: 0.8100\n", + "Epoch 162/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7680 - accuracy: 0.5287\n", + "Epoch 00162: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 25s 83ms/step - loss: 0.7690 - accuracy: 0.5286 - val_loss: 0.7612 - val_accuracy: 0.3600\n", + "Epoch 163/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7819 - accuracy: 0.5503\n", + "Epoch 00163: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 25s 83ms/step - loss: 0.7793 - accuracy: 0.5485 - val_loss: 0.7651 - val_accuracy: 0.5833\n", + "Epoch 164/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7785 - accuracy: 0.5320\n", + "Epoch 00164: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 25s 83ms/step - loss: 0.7770 - accuracy: 0.5319 - val_loss: 0.7993 - val_accuracy: 0.5500\n", + "Epoch 165/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7879 - accuracy: 0.4838\n", + "Epoch 00165: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 25s 84ms/step - loss: 0.7876 - accuracy: 0.4838 - val_loss: 0.8325 - val_accuracy: 0.6333\n", + "Epoch 166/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7745 - accuracy: 0.4963\n", + "Epoch 00166: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 25s 83ms/step - loss: 0.7720 - accuracy: 0.4971 - val_loss: 0.7742 - val_accuracy: 0.7900\n", + "Epoch 167/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7871 - accuracy: 0.5112\n", + "Epoch 00167: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 25s 83ms/step - loss: 0.7857 - accuracy: 0.5112 - val_loss: 0.7582 - val_accuracy: 0.6700\n", + "Epoch 168/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7761 - accuracy: 0.4979\n", + "Epoch 00168: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 29s 95ms/step - loss: 0.7747 - accuracy: 0.4971 - val_loss: 0.7734 - val_accuracy: 0.8533\n", + "Epoch 169/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7809 - accuracy: 0.4950\n", + "Epoch 00169: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 29s 97ms/step - loss: 0.7817 - accuracy: 0.4959 - val_loss: 0.7811 - val_accuracy: 0.7933\n", + "Epoch 170/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7900 - accuracy: 0.5046\n", + "Epoch 00170: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 26s 87ms/step - loss: 0.7920 - accuracy: 0.5046 - val_loss: 0.7734 - val_accuracy: 0.4167\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch 171/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7774 - accuracy: 0.5054\n", + "Epoch 00171: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 26s 86ms/step - loss: 0.7771 - accuracy: 0.5062 - val_loss: 0.7739 - val_accuracy: 0.9467\n", + "Epoch 172/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7685 - accuracy: 0.4676\n", + "Epoch 00172: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 25s 83ms/step - loss: 0.7683 - accuracy: 0.4685 - val_loss: 0.7521 - val_accuracy: 0.9033\n", + "Epoch 173/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7918 - accuracy: 0.4913\n", + "Epoch 00173: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 25s 83ms/step - loss: 0.7938 - accuracy: 0.4930 - val_loss: 0.7620 - val_accuracy: 0.7667\n", + "Epoch 174/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7850 - accuracy: 0.4755\n", + "Epoch 00174: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 25s 83ms/step - loss: 0.7860 - accuracy: 0.4756 - val_loss: 0.9701 - val_accuracy: 0.4767\n", + "Epoch 175/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7865 - accuracy: 0.5012\n", + "Epoch 00175: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 25s 83ms/step - loss: 0.7850 - accuracy: 0.5004 - val_loss: 1.0353 - val_accuracy: 0.4733\n", + "Epoch 176/500\n", + "301/302 [============================>.] - ETA: 0s - loss: 0.7946 - accuracy: 0.4846\n", + "Epoch 00176: val_loss did not improve from 0.74411\n", + "302/302 [==============================] - 25s 83ms/step - loss: 0.7943 - accuracy: 0.4838 - val_loss: 0.7922 - val_accuracy: 0.4600\n" + ] + } + ], + "source": [ + "\n", "# Read Data and Augment it: Make sure to select augmentations that are appropriate to your images.\n", "# To save augmentations un-comment save lines and add to your flow parameters.\n", "train_datagen = ImageDataGenerator(rescale=1. / 255,\n", - " rotation_range=transformation_ratio,\n", - " shear_range=transformation_ratio,\n", - " zoom_range=transformation_ratio,\n", - " cval=transformation_ratio,\n", + " rotation_range=rotation_ratio,\n", + " width_shift_range=width_shift_range,\n", + " height_shift_range=height_shift_range,\n", + " shear_range=shear_range,\n", + " zoom_range=zoom_range,\n", " horizontal_flip=True,\n", " vertical_flip=True,\n", + " fill_mode='nearest',\n", " validation_split=0.2)\n", "\n", "\n", "\n", "train_generator = train_datagen.flow_from_directory(train_data_dir,\n", - " target_size=(img_height, img_width),\n", + " target_size=(img_width, img_height),\n", " batch_size=batch_size,\n", + " shuffle=True,\n", + " color_mode= \"grayscale\",\n", " class_mode='binary',\n", " subset='training') # set as training data\n", "\n", "validation_generator = train_datagen.flow_from_directory(train_data_dir, # same directory as training data\n", - " target_size=(img_height, img_width),\n", + " target_size=(img_width, img_height),\n", " batch_size=batch_size,\n", + " shuffle=True,\n", + " color_mode=\"grayscale\",\n", " class_mode='binary',\n", " subset='validation') # set as validation data\n", "\n", - "model.compile(optimizer='adam',\n", + "#opt = tf.keras.optimizers.SGD(learning_rate=learn_rate, momentum = momentum)\n", + "opt = tf.keras.optimizers.Adam(learning_rate=learn_rate)\n", + "model.compile(optimizer= opt,\n", " loss='categorical_crossentropy', # categorical_crossentropy if multi-class classifier\n", " metrics=['accuracy'])\n", "\n", @@ -26033,7 +2654,7 @@ "# Train Simple CNN\n", "hist = model.fit(train_generator,\n", " steps_per_epoch= int(train_generator.samples/batch_size*.8),\n", - " epochs=int (nb_epoch / 5),\n", + " epochs=nb_epoch,\n", " validation_data=validation_generator,\n", " validation_steps = int(validation_generator.samples /batch_size*.8),\n", " validation_freq=1,\n", @@ -26043,437 +2664,11 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Starting to Fine Tune Model\n", - "\n", - "Model: \"model\"\n", - "__________________________________________________________________________________________________\n", - "Layer (type) Output Shape Param # Connected to \n", - "==================================================================================================\n", - "input_1 (InputLayer) [(None, 224, 224, 3) 0 \n", - "__________________________________________________________________________________________________\n", - "block1_conv1 (Conv2D) (None, 111, 111, 32) 864 input_1[0][0] \n", - "__________________________________________________________________________________________________\n", - "block1_conv1_bn (BatchNormaliza (None, 111, 111, 32) 128 block1_conv1[0][0] \n", - "__________________________________________________________________________________________________\n", - "block1_conv1_act (Activation) (None, 111, 111, 32) 0 block1_conv1_bn[0][0] \n", - "__________________________________________________________________________________________________\n", - "block1_conv2 (Conv2D) (None, 109, 109, 64) 18432 block1_conv1_act[0][0] \n", - "__________________________________________________________________________________________________\n", - "block1_conv2_bn (BatchNormaliza (None, 109, 109, 64) 256 block1_conv2[0][0] \n", - "__________________________________________________________________________________________________\n", - "block1_conv2_act (Activation) (None, 109, 109, 64) 0 block1_conv2_bn[0][0] \n", - "__________________________________________________________________________________________________\n", - "block2_sepconv1 (SeparableConv2 (None, 109, 109, 128 8768 block1_conv2_act[0][0] \n", - "__________________________________________________________________________________________________\n", - "block2_sepconv1_bn (BatchNormal (None, 109, 109, 128 512 block2_sepconv1[0][0] \n", - "__________________________________________________________________________________________________\n", - "block2_sepconv2_act (Activation (None, 109, 109, 128 0 block2_sepconv1_bn[0][0] \n", - "__________________________________________________________________________________________________\n", - "block2_sepconv2 (SeparableConv2 (None, 109, 109, 128 17536 block2_sepconv2_act[0][0] \n", - "__________________________________________________________________________________________________\n", - "block2_sepconv2_bn (BatchNormal (None, 109, 109, 128 512 block2_sepconv2[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d (Conv2D) (None, 55, 55, 128) 8192 block1_conv2_act[0][0] \n", - "__________________________________________________________________________________________________\n", - "block2_pool (MaxPooling2D) (None, 55, 55, 128) 0 block2_sepconv2_bn[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization (BatchNorma (None, 55, 55, 128) 512 conv2d[0][0] \n", - "__________________________________________________________________________________________________\n", - "add (Add) (None, 55, 55, 128) 0 block2_pool[0][0] \n", - " batch_normalization[0][0] \n", - "__________________________________________________________________________________________________\n", - "block3_sepconv1_act (Activation (None, 55, 55, 128) 0 add[0][0] \n", - "__________________________________________________________________________________________________\n", - "block3_sepconv1 (SeparableConv2 (None, 55, 55, 256) 33920 block3_sepconv1_act[0][0] \n", - "__________________________________________________________________________________________________\n", - "block3_sepconv1_bn (BatchNormal (None, 55, 55, 256) 1024 block3_sepconv1[0][0] \n", - "__________________________________________________________________________________________________\n", - "block3_sepconv2_act (Activation (None, 55, 55, 256) 0 block3_sepconv1_bn[0][0] \n", - "__________________________________________________________________________________________________\n", - "block3_sepconv2 (SeparableConv2 (None, 55, 55, 256) 67840 block3_sepconv2_act[0][0] \n", - "__________________________________________________________________________________________________\n", - "block3_sepconv2_bn (BatchNormal (None, 55, 55, 256) 1024 block3_sepconv2[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_1 (Conv2D) (None, 28, 28, 256) 32768 add[0][0] \n", - "__________________________________________________________________________________________________\n", - "block3_pool (MaxPooling2D) (None, 28, 28, 256) 0 block3_sepconv2_bn[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_1 (BatchNor (None, 28, 28, 256) 1024 conv2d_1[0][0] \n", - "__________________________________________________________________________________________________\n", - "add_1 (Add) (None, 28, 28, 256) 0 block3_pool[0][0] \n", - " batch_normalization_1[0][0] \n", - "__________________________________________________________________________________________________\n", - "block4_sepconv1_act (Activation (None, 28, 28, 256) 0 add_1[0][0] \n", - "__________________________________________________________________________________________________\n", - "block4_sepconv1 (SeparableConv2 (None, 28, 28, 728) 188672 block4_sepconv1_act[0][0] \n", - "__________________________________________________________________________________________________\n", - "block4_sepconv1_bn (BatchNormal (None, 28, 28, 728) 2912 block4_sepconv1[0][0] \n", - "__________________________________________________________________________________________________\n", - "block4_sepconv2_act (Activation (None, 28, 28, 728) 0 block4_sepconv1_bn[0][0] \n", - "__________________________________________________________________________________________________\n", - "block4_sepconv2 (SeparableConv2 (None, 28, 28, 728) 536536 block4_sepconv2_act[0][0] \n", - "__________________________________________________________________________________________________\n", - "block4_sepconv2_bn (BatchNormal (None, 28, 28, 728) 2912 block4_sepconv2[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_2 (Conv2D) (None, 14, 14, 728) 186368 add_1[0][0] \n", - "__________________________________________________________________________________________________\n", - "block4_pool (MaxPooling2D) (None, 14, 14, 728) 0 block4_sepconv2_bn[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_2 (BatchNor (None, 14, 14, 728) 2912 conv2d_2[0][0] \n", - "__________________________________________________________________________________________________\n", - "add_2 (Add) (None, 14, 14, 728) 0 block4_pool[0][0] \n", - " batch_normalization_2[0][0] \n", - "__________________________________________________________________________________________________\n", - "block5_sepconv1_act (Activation (None, 14, 14, 728) 0 add_2[0][0] \n", - "__________________________________________________________________________________________________\n", - "block5_sepconv1 (SeparableConv2 (None, 14, 14, 728) 536536 block5_sepconv1_act[0][0] \n", - "__________________________________________________________________________________________________\n", - "block5_sepconv1_bn (BatchNormal (None, 14, 14, 728) 2912 block5_sepconv1[0][0] \n", - "__________________________________________________________________________________________________\n", - "block5_sepconv2_act (Activation (None, 14, 14, 728) 0 block5_sepconv1_bn[0][0] \n", - "__________________________________________________________________________________________________\n", - "block5_sepconv2 (SeparableConv2 (None, 14, 14, 728) 536536 block5_sepconv2_act[0][0] \n", - "__________________________________________________________________________________________________\n", - "block5_sepconv2_bn (BatchNormal (None, 14, 14, 728) 2912 block5_sepconv2[0][0] \n", - "__________________________________________________________________________________________________\n", - "block5_sepconv3_act (Activation (None, 14, 14, 728) 0 block5_sepconv2_bn[0][0] \n", - "__________________________________________________________________________________________________\n", - "block5_sepconv3 (SeparableConv2 (None, 14, 14, 728) 536536 block5_sepconv3_act[0][0] \n", - "__________________________________________________________________________________________________\n", - "block5_sepconv3_bn (BatchNormal (None, 14, 14, 728) 2912 block5_sepconv3[0][0] \n", - "__________________________________________________________________________________________________\n", - "add_3 (Add) (None, 14, 14, 728) 0 block5_sepconv3_bn[0][0] \n", - " add_2[0][0] \n", - "__________________________________________________________________________________________________\n", - "block6_sepconv1_act (Activation (None, 14, 14, 728) 0 add_3[0][0] \n", - "__________________________________________________________________________________________________\n", - "block6_sepconv1 (SeparableConv2 (None, 14, 14, 728) 536536 block6_sepconv1_act[0][0] \n", - "__________________________________________________________________________________________________\n", - "block6_sepconv1_bn (BatchNormal (None, 14, 14, 728) 2912 block6_sepconv1[0][0] \n", - "__________________________________________________________________________________________________\n", - "block6_sepconv2_act (Activation (None, 14, 14, 728) 0 block6_sepconv1_bn[0][0] \n", - "__________________________________________________________________________________________________\n", - "block6_sepconv2 (SeparableConv2 (None, 14, 14, 728) 536536 block6_sepconv2_act[0][0] \n", - "__________________________________________________________________________________________________\n", - "block6_sepconv2_bn (BatchNormal (None, 14, 14, 728) 2912 block6_sepconv2[0][0] \n", - "__________________________________________________________________________________________________\n", - "block6_sepconv3_act (Activation (None, 14, 14, 728) 0 block6_sepconv2_bn[0][0] \n", - "__________________________________________________________________________________________________\n", - "block6_sepconv3 (SeparableConv2 (None, 14, 14, 728) 536536 block6_sepconv3_act[0][0] \n", - "__________________________________________________________________________________________________\n", - "block6_sepconv3_bn (BatchNormal (None, 14, 14, 728) 2912 block6_sepconv3[0][0] \n", - "__________________________________________________________________________________________________\n", - "add_4 (Add) (None, 14, 14, 728) 0 block6_sepconv3_bn[0][0] \n", - " add_3[0][0] \n", - "__________________________________________________________________________________________________\n", - "block7_sepconv1_act (Activation (None, 14, 14, 728) 0 add_4[0][0] \n", - "__________________________________________________________________________________________________\n", - "block7_sepconv1 (SeparableConv2 (None, 14, 14, 728) 536536 block7_sepconv1_act[0][0] \n", - "__________________________________________________________________________________________________\n", - "block7_sepconv1_bn (BatchNormal (None, 14, 14, 728) 2912 block7_sepconv1[0][0] \n", - "__________________________________________________________________________________________________\n", - "block7_sepconv2_act (Activation (None, 14, 14, 728) 0 block7_sepconv1_bn[0][0] \n", - "__________________________________________________________________________________________________\n", - "block7_sepconv2 (SeparableConv2 (None, 14, 14, 728) 536536 block7_sepconv2_act[0][0] \n", - "__________________________________________________________________________________________________\n", - "block7_sepconv2_bn (BatchNormal (None, 14, 14, 728) 2912 block7_sepconv2[0][0] \n", - "__________________________________________________________________________________________________\n", - "block7_sepconv3_act (Activation (None, 14, 14, 728) 0 block7_sepconv2_bn[0][0] \n", - "__________________________________________________________________________________________________\n", - "block7_sepconv3 (SeparableConv2 (None, 14, 14, 728) 536536 block7_sepconv3_act[0][0] \n", - "__________________________________________________________________________________________________\n", - "block7_sepconv3_bn (BatchNormal (None, 14, 14, 728) 2912 block7_sepconv3[0][0] \n", - "__________________________________________________________________________________________________\n", - "add_5 (Add) (None, 14, 14, 728) 0 block7_sepconv3_bn[0][0] \n", - " add_4[0][0] \n", - "__________________________________________________________________________________________________\n", - "block8_sepconv1_act (Activation (None, 14, 14, 728) 0 add_5[0][0] \n", - "__________________________________________________________________________________________________\n", - "block8_sepconv1 (SeparableConv2 (None, 14, 14, 728) 536536 block8_sepconv1_act[0][0] \n", - "__________________________________________________________________________________________________\n", - "block8_sepconv1_bn (BatchNormal (None, 14, 14, 728) 2912 block8_sepconv1[0][0] \n", - "__________________________________________________________________________________________________\n", - "block8_sepconv2_act (Activation (None, 14, 14, 728) 0 block8_sepconv1_bn[0][0] \n", - "__________________________________________________________________________________________________\n", - "block8_sepconv2 (SeparableConv2 (None, 14, 14, 728) 536536 block8_sepconv2_act[0][0] \n", - "__________________________________________________________________________________________________\n", - "block8_sepconv2_bn (BatchNormal (None, 14, 14, 728) 2912 block8_sepconv2[0][0] \n", - "__________________________________________________________________________________________________\n", - "block8_sepconv3_act (Activation (None, 14, 14, 728) 0 block8_sepconv2_bn[0][0] \n", - "__________________________________________________________________________________________________\n", - "block8_sepconv3 (SeparableConv2 (None, 14, 14, 728) 536536 block8_sepconv3_act[0][0] \n", - "__________________________________________________________________________________________________\n", - "block8_sepconv3_bn (BatchNormal (None, 14, 14, 728) 2912 block8_sepconv3[0][0] \n", - "__________________________________________________________________________________________________\n", - "add_6 (Add) (None, 14, 14, 728) 0 block8_sepconv3_bn[0][0] \n", - " add_5[0][0] \n", - "__________________________________________________________________________________________________\n", - "block9_sepconv1_act (Activation (None, 14, 14, 728) 0 add_6[0][0] \n", - "__________________________________________________________________________________________________\n", - "block9_sepconv1 (SeparableConv2 (None, 14, 14, 728) 536536 block9_sepconv1_act[0][0] \n", - "__________________________________________________________________________________________________\n", - "block9_sepconv1_bn (BatchNormal (None, 14, 14, 728) 2912 block9_sepconv1[0][0] \n", - "__________________________________________________________________________________________________\n", - "block9_sepconv2_act (Activation (None, 14, 14, 728) 0 block9_sepconv1_bn[0][0] \n", - "__________________________________________________________________________________________________\n", - "block9_sepconv2 (SeparableConv2 (None, 14, 14, 728) 536536 block9_sepconv2_act[0][0] \n", - "__________________________________________________________________________________________________\n", - "block9_sepconv2_bn (BatchNormal (None, 14, 14, 728) 2912 block9_sepconv2[0][0] \n", - "__________________________________________________________________________________________________\n", - "block9_sepconv3_act (Activation (None, 14, 14, 728) 0 block9_sepconv2_bn[0][0] \n", - "__________________________________________________________________________________________________\n", - "block9_sepconv3 (SeparableConv2 (None, 14, 14, 728) 536536 block9_sepconv3_act[0][0] \n", - "__________________________________________________________________________________________________\n", - "block9_sepconv3_bn (BatchNormal (None, 14, 14, 728) 2912 block9_sepconv3[0][0] \n", - "__________________________________________________________________________________________________\n", - "add_7 (Add) (None, 14, 14, 728) 0 block9_sepconv3_bn[0][0] \n", - " add_6[0][0] \n", - "__________________________________________________________________________________________________\n", - "block10_sepconv1_act (Activatio (None, 14, 14, 728) 0 add_7[0][0] \n", - "__________________________________________________________________________________________________\n", - "block10_sepconv1 (SeparableConv (None, 14, 14, 728) 536536 block10_sepconv1_act[0][0] \n", - "__________________________________________________________________________________________________\n", - "block10_sepconv1_bn (BatchNorma (None, 14, 14, 728) 2912 block10_sepconv1[0][0] \n", - "__________________________________________________________________________________________________\n", - "block10_sepconv2_act (Activatio (None, 14, 14, 728) 0 block10_sepconv1_bn[0][0] \n", - "__________________________________________________________________________________________________\n", - "block10_sepconv2 (SeparableConv (None, 14, 14, 728) 536536 block10_sepconv2_act[0][0] \n", - "__________________________________________________________________________________________________\n", - "block10_sepconv2_bn (BatchNorma (None, 14, 14, 728) 2912 block10_sepconv2[0][0] \n", - "__________________________________________________________________________________________________\n", - "block10_sepconv3_act (Activatio (None, 14, 14, 728) 0 block10_sepconv2_bn[0][0] \n", - "__________________________________________________________________________________________________\n", - "block10_sepconv3 (SeparableConv (None, 14, 14, 728) 536536 block10_sepconv3_act[0][0] \n", - "__________________________________________________________________________________________________\n", - "block10_sepconv3_bn (BatchNorma (None, 14, 14, 728) 2912 block10_sepconv3[0][0] \n", - "__________________________________________________________________________________________________\n", - "add_8 (Add) (None, 14, 14, 728) 0 block10_sepconv3_bn[0][0] \n", - " add_7[0][0] \n", - "__________________________________________________________________________________________________\n", - "block11_sepconv1_act (Activatio (None, 14, 14, 728) 0 add_8[0][0] \n", - "__________________________________________________________________________________________________\n", - "block11_sepconv1 (SeparableConv (None, 14, 14, 728) 536536 block11_sepconv1_act[0][0] \n", - "__________________________________________________________________________________________________\n", - "block11_sepconv1_bn (BatchNorma (None, 14, 14, 728) 2912 block11_sepconv1[0][0] \n", - "__________________________________________________________________________________________________\n", - "block11_sepconv2_act (Activatio (None, 14, 14, 728) 0 block11_sepconv1_bn[0][0] \n", - "__________________________________________________________________________________________________\n", - "block11_sepconv2 (SeparableConv (None, 14, 14, 728) 536536 block11_sepconv2_act[0][0] \n", - "__________________________________________________________________________________________________\n", - "block11_sepconv2_bn (BatchNorma (None, 14, 14, 728) 2912 block11_sepconv2[0][0] \n", - "__________________________________________________________________________________________________\n", - "block11_sepconv3_act (Activatio (None, 14, 14, 728) 0 block11_sepconv2_bn[0][0] \n", - "__________________________________________________________________________________________________\n", - "block11_sepconv3 (SeparableConv (None, 14, 14, 728) 536536 block11_sepconv3_act[0][0] \n", - "__________________________________________________________________________________________________\n", - "block11_sepconv3_bn (BatchNorma (None, 14, 14, 728) 2912 block11_sepconv3[0][0] \n", - "__________________________________________________________________________________________________\n", - "add_9 (Add) (None, 14, 14, 728) 0 block11_sepconv3_bn[0][0] \n", - " add_8[0][0] \n", - "__________________________________________________________________________________________________\n", - "block12_sepconv1_act (Activatio (None, 14, 14, 728) 0 add_9[0][0] \n", - "__________________________________________________________________________________________________\n", - "block12_sepconv1 (SeparableConv (None, 14, 14, 728) 536536 block12_sepconv1_act[0][0] \n", - "__________________________________________________________________________________________________\n", - "block12_sepconv1_bn (BatchNorma (None, 14, 14, 728) 2912 block12_sepconv1[0][0] \n", - "__________________________________________________________________________________________________\n", - "block12_sepconv2_act (Activatio (None, 14, 14, 728) 0 block12_sepconv1_bn[0][0] \n", - "__________________________________________________________________________________________________\n", - "block12_sepconv2 (SeparableConv (None, 14, 14, 728) 536536 block12_sepconv2_act[0][0] \n", - "__________________________________________________________________________________________________\n", - "block12_sepconv2_bn (BatchNorma (None, 14, 14, 728) 2912 block12_sepconv2[0][0] \n", - "__________________________________________________________________________________________________\n", - "block12_sepconv3_act (Activatio (None, 14, 14, 728) 0 block12_sepconv2_bn[0][0] \n", - "__________________________________________________________________________________________________\n", - "block12_sepconv3 (SeparableConv (None, 14, 14, 728) 536536 block12_sepconv3_act[0][0] \n", - "__________________________________________________________________________________________________\n", - "block12_sepconv3_bn (BatchNorma (None, 14, 14, 728) 2912 block12_sepconv3[0][0] \n", - "__________________________________________________________________________________________________\n", - "add_10 (Add) (None, 14, 14, 728) 0 block12_sepconv3_bn[0][0] \n", - " add_9[0][0] \n", - "__________________________________________________________________________________________________\n", - "block13_sepconv1_act (Activatio (None, 14, 14, 728) 0 add_10[0][0] \n", - "__________________________________________________________________________________________________\n", - "block13_sepconv1 (SeparableConv (None, 14, 14, 728) 536536 block13_sepconv1_act[0][0] \n", - "__________________________________________________________________________________________________\n", - "block13_sepconv1_bn (BatchNorma (None, 14, 14, 728) 2912 block13_sepconv1[0][0] \n", - "__________________________________________________________________________________________________\n", - "block13_sepconv2_act (Activatio (None, 14, 14, 728) 0 block13_sepconv1_bn[0][0] \n", - "__________________________________________________________________________________________________\n", - "block13_sepconv2 (SeparableConv (None, 14, 14, 1024) 752024 block13_sepconv2_act[0][0] \n", - "__________________________________________________________________________________________________\n", - "block13_sepconv2_bn (BatchNorma (None, 14, 14, 1024) 4096 block13_sepconv2[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_3 (Conv2D) (None, 7, 7, 1024) 745472 add_10[0][0] \n", - "__________________________________________________________________________________________________\n", - "block13_pool (MaxPooling2D) (None, 7, 7, 1024) 0 block13_sepconv2_bn[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_3 (BatchNor (None, 7, 7, 1024) 4096 conv2d_3[0][0] \n", - "__________________________________________________________________________________________________\n", - "add_11 (Add) (None, 7, 7, 1024) 0 block13_pool[0][0] \n", - " batch_normalization_3[0][0] \n", - "__________________________________________________________________________________________________\n", - "block14_sepconv1 (SeparableConv (None, 7, 7, 1536) 1582080 add_11[0][0] \n", - "__________________________________________________________________________________________________\n", - "block14_sepconv1_bn (BatchNorma (None, 7, 7, 1536) 6144 block14_sepconv1[0][0] \n", - "__________________________________________________________________________________________________\n", - "block14_sepconv1_act (Activatio (None, 7, 7, 1536) 0 block14_sepconv1_bn[0][0] \n", - "__________________________________________________________________________________________________\n", - "block14_sepconv2 (SeparableConv (None, 7, 7, 2048) 3159552 block14_sepconv1_act[0][0] \n", - "__________________________________________________________________________________________________\n", - "block14_sepconv2_bn (BatchNorma (None, 7, 7, 2048) 8192 block14_sepconv2[0][0] \n", - "__________________________________________________________________________________________________\n", - "block14_sepconv2_act (Activatio (None, 7, 7, 2048) 0 block14_sepconv2_bn[0][0] \n", - "__________________________________________________________________________________________________\n", - "global_average_pooling2d (Globa (None, 2048) 0 block14_sepconv2_act[0][0] \n", - "__________________________________________________________________________________________________\n", - "dense (Dense) (None, 5) 10245 global_average_pooling2d[0][0] \n", - "==================================================================================================\n", - "Total params: 20,871,725\n", - "Trainable params: 20,817,197\n", - "Non-trainable params: 54,528\n", - "__________________________________________________________________________________________________\n", - "None\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "WARNING:tensorflow:sample_weight modes were coerced from\n", - " ...\n", - " to \n", - " ['...']\n", - "WARNING:tensorflow:sample_weight modes were coerced from\n", - " ...\n", - " to \n", - " ['...']\n", - "Train for 58.400000000000006 steps, validate for 13.600000000000001 steps\n", - "Epoch 1/100\n", - "58/58 [============================>.] - ETA: 0s - loss: 16.7909 - accuracy: 0.1207\n", - "Epoch 00001: val_loss improved from inf to 17.16391, saving model to /home/dlsaavedra/Desktop/Rentadrone.cl-ai-test&SomeCode/model-definition/GPS_Panel/Classifier/model/model_weights.h5\n", - "59/58 [==============================] - 75s 1s/step - loss: 16.5745 - accuracy: 0.1186 - val_loss: 17.1639 - val_accuracy: 0.4286\n", - "Epoch 2/100\n", - "58/58 [============================>.] - ETA: 0s - loss: 16.1648 - accuracy: 0.0948\n", - "Epoch 00002: val_loss did not improve from 17.16391\n", - "59/58 [==============================] - 56s 948ms/step - loss: 16.1636 - accuracy: 0.0932 - val_loss: 17.1654 - val_accuracy: 0.1429\n", - "Epoch 3/100\n", - "58/58 [============================>.] - ETA: 0s - loss: 15.5401 - accuracy: 0.0690\n", - "Epoch 00003: val_loss did not improve from 17.16391\n", - "59/58 [==============================] - 57s 959ms/step - loss: 15.4813 - accuracy: 0.0678 - val_loss: 17.1791 - val_accuracy: 0.0714\n", - "Epoch 4/100\n", - "58/58 [============================>.] - ETA: 0s - loss: 15.4705 - accuracy: 0.0690\n", - "Epoch 00004: val_loss did not improve from 17.16391\n", - "59/58 [==============================] - 56s 950ms/step - loss: 15.3447 - accuracy: 0.0678 - val_loss: 17.1779 - val_accuracy: 0.0000e+00\n", - "Epoch 5/100\n", - "58/58 [============================>.] - ETA: 0s - loss: 16.3031 - accuracy: 0.0517\n", - "Epoch 00005: val_loss did not improve from 17.16391\n", - "59/58 [==============================] - 57s 960ms/step - loss: 16.7087 - accuracy: 0.0508 - val_loss: 17.2318 - val_accuracy: 0.0000e+00\n", - "Epoch 6/100\n", - "58/58 [============================>.] - ETA: 0s - loss: 16.1641 - accuracy: 0.0776\n", - "Epoch 00006: val_loss did not improve from 17.16391\n", - "59/58 [==============================] - 55s 933ms/step - loss: 15.9583 - accuracy: 0.0847 - val_loss: 17.1775 - val_accuracy: 0.0000e+00\n", - "Epoch 7/100\n", - "58/58 [============================>.] - ETA: 0s - loss: 15.4702 - accuracy: 0.0172\n", - "Epoch 00007: val_loss did not improve from 17.16391\n", - "59/58 [==============================] - 56s 947ms/step - loss: 15.2762 - accuracy: 0.0254 - val_loss: 17.1652 - val_accuracy: 0.0000e+00\n", - "Epoch 8/100\n", - "58/58 [============================>.] - ETA: 0s - loss: 15.8864 - accuracy: 0.0086\n", - "Epoch 00008: val_loss improved from 17.16391 to 17.16194, saving model to /home/dlsaavedra/Desktop/Rentadrone.cl-ai-test&SomeCode/model-definition/GPS_Panel/Classifier/model/model_weights.h5\n", - "59/58 [==============================] - 71s 1s/step - loss: 15.6854 - accuracy: 0.0085 - val_loss: 17.1619 - val_accuracy: 0.1429\n", - "Epoch 9/100\n", - "58/58 [============================>.] - ETA: 0s - loss: 15.8172 - accuracy: 0.0517\n", - "Epoch 00009: val_loss did not improve from 17.16194\n", - "59/58 [==============================] - 57s 973ms/step - loss: 15.6855 - accuracy: 0.0508 - val_loss: 17.8925 - val_accuracy: 0.1786\n", - "Epoch 10/100\n", - "58/58 [============================>.] - ETA: 0s - loss: 15.3315 - accuracy: 0.0517\n", - "Epoch 00010: val_loss did not improve from 17.16194\n", - "59/58 [==============================] - 56s 957ms/step - loss: 15.2081 - accuracy: 0.0508 - val_loss: 17.3912 - val_accuracy: 0.4643\n", - "Epoch 11/100\n", - "58/58 [============================>.] - ETA: 0s - loss: 15.2621 - accuracy: 0.0517\n", - "Epoch 00011: val_loss did not improve from 17.16194\n", - "59/58 [==============================] - 58s 978ms/step - loss: 15.1398 - accuracy: 0.0508 - val_loss: 17.1633 - val_accuracy: 0.1429\n", - "Epoch 12/100\n", - "58/58 [============================>.] - ETA: 0s - loss: 15.5397 - accuracy: 0.0345\n", - "Epoch 00012: val_loss did not improve from 17.16194\n", - "59/58 [==============================] - 56s 953ms/step - loss: 15.6173 - accuracy: 0.0339 - val_loss: 18.1601 - val_accuracy: 0.1429\n", - "Epoch 13/100\n", - "58/58 [============================>.] - ETA: 0s - loss: 15.4702 - accuracy: 0.0690\n", - "Epoch 00013: val_loss did not improve from 17.16194\n", - "59/58 [==============================] - 58s 986ms/step - loss: 15.4808 - accuracy: 0.0678 - val_loss: 17.4696 - val_accuracy: 0.0000e+00\n", - "Epoch 14/100\n", - "58/58 [============================>.] - ETA: 0s - loss: 15.1233 - accuracy: 0.1034\n", - "Epoch 00014: val_loss did not improve from 17.16194\n", - "59/58 [==============================] - 55s 931ms/step - loss: 15.0034 - accuracy: 0.1017 - val_loss: 19.5240 - val_accuracy: 0.1429\n", - "Epoch 15/100\n", - "58/58 [============================>.] - ETA: 0s - loss: 15.8864 - accuracy: 0.1293\n", - "Epoch 00015: val_loss did not improve from 17.16194\n", - "59/58 [==============================] - 58s 985ms/step - loss: 15.6854 - accuracy: 0.1271 - val_loss: 17.6684 - val_accuracy: 0.0357\n", - "Epoch 16/100\n", - "58/58 [============================>.] - ETA: 0s - loss: 16.1640 - accuracy: 0.1293\n", - "Epoch 00016: val_loss did not improve from 17.16194\n", - "59/58 [==============================] - 57s 963ms/step - loss: 16.2992 - accuracy: 0.1271 - val_loss: 17.4060 - val_accuracy: 1.0000\n", - "Epoch 17/100\n", - "58/58 [============================>.] - ETA: 0s - loss: 16.3026 - accuracy: 0.0517\n", - "Epoch 00017: val_loss did not improve from 17.16194\n", - "59/58 [==============================] - 57s 960ms/step - loss: 16.0945 - accuracy: 0.0508 - val_loss: 17.9671 - val_accuracy: 0.1071\n", - "Epoch 18/100\n", - "58/58 [============================>.] - ETA: 0s - loss: 16.0946 - accuracy: 0.0948\n", - "Epoch 00018: val_loss did not improve from 17.16194\n", - "59/58 [==============================] - 56s 955ms/step - loss: 16.0946 - accuracy: 0.0932 - val_loss: 17.1750 - val_accuracy: 0.0000e+00\n" - ] - } - ], + "outputs": [], "source": [ - "# verbose\n", - "print(\"\\nStarting to Fine Tune Model\\n\")\n", "\n", - "# add the best weights from the train top model\n", - "# at this point we have the pre-train weights of the base model and the trained weight of the new/added top model\n", - "# we re-load model weights to ensure the best epoch is selected and not the last one.\n", - "model.load_weights(top_weights_path)\n", - "\n", - "print(model.summary())\n", - "# based_model_last_block_layer_number points to the layer in your model you want to train.\n", - "# For example if you want to train the last block of a 19 layer VGG16 model this should be 15\n", - "# If you want to train the last Two blocks of an Inception model it should be 172\n", - "# layers before this number will used the pre-trained weights, layers above and including this number\n", - "# will be re-trained based on the new data.\n", - "for layer in model.layers[:based_model_last_block_layer_number]:\n", - " layer.trainable = True\n", - "for layer in model.layers[based_model_last_block_layer_number:]:\n", - " layer.trainable = True\n", - "\n", - "# compile the model with a SGD/momentum optimizer\n", - "# and a very slow learning rate.\n", - "model.compile(optimizer='nadam',\n", - " loss='categorical_crossentropy',\n", - " metrics=['accuracy'])\n", - "\n", - "# save weights of best training epoch: monitor either val_loss or val_acc\n", - "final_weights_path = os.path.join(os.path.abspath(model_path), 'model_weights.h5')\n", - "callbacks_list = [\n", - " ModelCheckpoint(final_weights_path, monitor='val_loss', verbose=1, save_best_only=True),\n", - " EarlyStopping(monitor='val_loss', patience=patience, verbose=0)\n", - "]\n", - "\n", - "# fine-tune the model\n", - "hist = model.fit(train_generator,\n", - " steps_per_epoch=train_generator.samples/batch_size * .8,\n", - " epochs=nb_epoch,\n", - " validation_data=validation_generator,\n", - " validation_steps = validation_generator.samples/batch_size*.8,\n", - " callbacks=callbacks_list)\n", - "\n", - "# save model\n", "model_json = model.to_json()\n", "with open(os.path.join(os.path.abspath(model_path), 'model.json'), 'w') as json_file:\n", " json_file.write(model_json)" @@ -26481,38 +2676,29 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "WARNING:tensorflow:From :10: Model.predict_generator (from tensorflow.python.keras.engine.training) is deprecated and will be removed in a future version.\n", + "WARNING:tensorflow:From :10: Model.predict_generator (from tensorflow.python.keras.engine.training) is deprecated and will be removed in a future version.\n", "Instructions for updating:\n", "Please use Model.predict, which supports generators.\n", - "WARNING:tensorflow:Your input ran out of data; interrupting training. Make sure that your dataset or generator can generate at least `steps_per_epoch * epochs` batches (in this case, 18 batches). You may need to use the repeat() function when building your dataset.\n", "Confusion Matrix\n", - "[[0 4 1 0 0 0]\n", - " [0 7 5 1 0 0]\n", - " [0 2 1 1 1 0]\n", - " [0 1 3 0 0 0]\n", - " [0 2 0 0 2 0]\n", - " [0 2 0 1 0 0]]\n", - "Classification Report\n" - ] - }, - { - "ename": "ValueError", - "evalue": "Number of classes, 6, does not match size of target_names, 7. Try specifying the labels parameter", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 14\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Classification Report'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 15\u001b[0m \u001b[0mtarget_names\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtrain_generator\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclass_indices\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkeys\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 16\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mclassification_report\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalidation_generator\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclasses\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my_pred\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtarget_names\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtarget_names\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[0;32m~/anaconda3/envs/new/lib/python3.7/site-packages/sklearn/utils/validation.py\u001b[0m in \u001b[0;36minner_f\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 71\u001b[0m FutureWarning)\n\u001b[1;32m 72\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m{\u001b[0m\u001b[0mk\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0marg\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mk\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0marg\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mzip\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mparameters\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 73\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 74\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0minner_f\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 75\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m~/anaconda3/envs/new/lib/python3.7/site-packages/sklearn/metrics/_classification.py\u001b[0m in \u001b[0;36mclassification_report\u001b[0;34m(y_true, y_pred, labels, target_names, sample_weight, digits, output_dict, zero_division)\u001b[0m\n\u001b[1;32m 1951\u001b[0m \u001b[0;34m\"Number of classes, {0}, does not match size of \"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1952\u001b[0m \u001b[0;34m\"target_names, {1}. Try specifying the labels \"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1953\u001b[0;31m \u001b[0;34m\"parameter\"\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlabels\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtarget_names\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1954\u001b[0m )\n\u001b[1;32m 1955\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mtarget_names\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mValueError\u001b[0m: Number of classes, 6, does not match size of target_names, 7. Try specifying the labels parameter" + "[[ 86 82]\n", + " [ 88 121]]\n", + "Classification Report\n", + " precision recall f1-score support\n", + "\n", + " 0-Normal 0.49 0.51 0.50 168\n", + " 1-Falla 0.60 0.58 0.59 209\n", + "\n", + " accuracy 0.55 377\n", + " macro avg 0.55 0.55 0.55 377\n", + "weighted avg 0.55 0.55 0.55 377\n", + "\n" ] } ], @@ -26542,12 +2728,119 @@ "outputs": [], "source": [] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ + "num_classes = 10\n", + "input_shape = (32, 32, 1)\n", + "\n", + "\"\"\"\n", + "base_model = tf.keras.applications.MobileNetV2(input_shape=input_shape, weights=None, include_top=False)\n", + "\n", + "# Top Model Block\n", + "x = base_model.output\n", + "x = GlobalAveragePooling2D()(x)\n", + "predictions = Dense(10, activation='softmax')(x)\n", + "\n", + "# add your top layer block to your base model\n", + "model = tf.keras.Model(base_model.input, predictions)\n", + "\"\"\"\n", + "\n", + "model = tf.keras.Sequential(\n", + " [\n", + " tf.keras.Input(shape=input_shape),\n", + " tf.keras.layers.Conv2D(32, kernel_size=(3, 3), activation=\"relu\"),\n", + " tf.keras.layers.MaxPooling2D(pool_size=(2, 2)),\n", + " tf.keras.layers.Conv2D(64, kernel_size=(3, 3), activation=\"relu\"),\n", + " tf.keras.layers.MaxPooling2D(pool_size=(2, 2)),\n", + " tf.keras.layers.Flatten(),\n", + " tf.keras.layers.Dropout(0.5),\n", + " tf.keras.layers.Dense(num_classes, activation=\"softmax\"),\n", + " ]\n", + ")\n", + "\n", + "model.summary()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "\n", + "# the data, split between train and test sets\n", + "(x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data()\n", + "\n", + "# Scale images to the [0, 1] range\n", + "x_train = x_train.astype(\"float32\") / 255\n", + "x_test = x_test.astype(\"float32\") / 255\n", + "# Make sure images have shape (28, 28, 1)\n", + "x_train = np.expand_dims(x_train, -1)\n", + "x_test = np.expand_dims(x_test, -1)\n", + "x_train = tf.image.resize(x_train, [input_shape[1], input_shape[0]])\n", + "x_test = tf.image.resize(x_test, [input_shape[1], input_shape[0]])\n", + "\n", + "print(\"x_train shape:\", x_train.shape)\n", + "print(x_train.shape[0], \"train samples\")\n", + "print(x_test.shape[0], \"test samples\")\n", + "\n", + "\n", + "# convert class vectors to binary class matrices\n", + "y_train = tf.keras.utils.to_categorical(y_train, num_classes)\n", + "y_test = tf.keras.utils.to_categorical(y_test, num_classes)\n", + "\n", + "\n", + "batch_size = 128\n", + "epochs = 5\n", + "\n", + "model.compile(loss=\"categorical_crossentropy\", optimizer=\"adam\", metrics=[\"accuracy\"])\n", + "\n", + "model.fit(x_train, y_train, batch_size=batch_size, epochs=epochs, validation_split=0.1)\n", + "\n", + "score = model.evaluate(x_test, y_test, verbose=0)\n", + "print(\"Test loss:\", score[0])\n", + "print(\"Test accuracy:\", score[1])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "A = train_generator.next()\n", + "Im = A[0][0][:,:,0]\n", + "label = A[1][0]\n", + "plt.imshow(cv2.resize(Im,(64,128)), cmap = 'gray')\n", + "plt.title(label)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "\n", "\n" ] }, diff --git a/GPS_Panel/Classifier/Train_Classifier_DEEP_SVC.ipynb b/GPS_Panel/Classifier/Train_Classifier_DEEP_SVC.ipynb index 2440ff6..08759a6 100644 --- a/GPS_Panel/Classifier/Train_Classifier_DEEP_SVC.ipynb +++ b/GPS_Panel/Classifier/Train_Classifier_DEEP_SVC.ipynb @@ -41,16 +41,14 @@ "\t.gitignore\n", "\tTrain_Classifier_AllDeep.ipynb\n", "\tTrain_Classifier_DEEP_SVC.ipynb\n", - "Found directory: ./.ipynb_checkpoints\n", - "\tTrain_Classifier_AllDeep-checkpoint.ipynb\n", - "\tTrain_Classifier_DEEP_SVC-checkpoint.ipynb\n", - "Found directory: ./dataset_prueba_1\n", - "Found directory: ./dataset_prueba_1/model_SVM\n", + "Found directory: ./Data_set_1\n", + "Found directory: ./Data_set_1/dataset_prueba_1\n", + "Found directory: ./Data_set_1/dataset_prueba_1/model_SVM\n", "\tembeddings.pickle\n", "\tmodel_SVM.h5\n", "\tle.pickle\n", "\trecognizer.pickle\n", - "Found directory: ./dataset_prueba_1/7- Soiling\n", + "Found directory: ./Data_set_1/dataset_prueba_1/7- Soiling\n", "\tSoling 19 Pampa Camarones M4 2019.jpg\n", "\tSoling 6 El Aguila M1 2019.jpg\n", "\tSoling 2 El Aguila M1 2019.jpg\n", @@ -72,7 +70,7 @@ "\tSoling 8 Pampa Camarones M1 2019.jpg\n", "\tSoling 22 Valle de la Luna M1 2019.jpg\n", "\tSoling 17 Pampa Camarones M4 2019.jpg\n", - "Found directory: ./dataset_prueba_1/1- Una-Mas Celdas\n", + "Found directory: ./Data_set_1/dataset_prueba_1/1- Una-Mas Celdas\n", "\tCinco-Mas Celdas 1 El Aguila M1 2019.jpg\n", "\tDos-Cuatro Celdas 14 Maria Elena M1 2018.jpg\n", "\tUna Celda 22 LLano de LLampos M4 2019.jpg\n", @@ -138,7 +136,7 @@ "\tDos-Cuatro Celdas 5 El Aguila M1 2019.jpg\n", "\tCinco-Mas Celdas 10 Maria Elena M1 2018.jpg\n", "\tDos-Cuatro Celdas 17 Maria Elena M2 2018.jpg\n", - "Found directory: ./dataset_prueba_1/4- Falla Diodos\n", + "Found directory: ./Data_set_1/dataset_prueba_1/4- Falla Diodos\n", "\tUn Diodo 25 Casuto M4 2019.jpg\n", "\tUn Diodo 7 Pampa Camarones M2 2019.jpg\n", "\tUn Diodo 19 Pampa Camarones M4 2019.jpg\n", @@ -167,7 +165,7 @@ "\tDos Diodos 1 Tiltil M2 2019.jpg\n", "\tUn Diodo 17 Pampa Camarones M3 2019.jpg\n", "\tUn Diodo 5 Pampa Camarones M2 2019.jpg\n", - "Found directory: ./dataset_prueba_1/9- No es Panel\n", + "Found directory: ./Data_set_1/dataset_prueba_1/9- No es Panel\n", "\tNo es panel 12 Casuto M1 2019.jpg\n", "\tNo es panel 5 El Aguila M1 2019.jpg\n", "\tNo es panel 16 Llano de Llampos M1 2019.jpg\n", @@ -185,7 +183,7 @@ "\tNo es panel 4 El Aguila M1 2019.jpg\n", "\tNo es panel 17 Cerro Dominador M1 2019.jpg\n", "\tNo es panel 8 Casuto M1 2019.jpg\n", - "Found directory: ./dataset_prueba_1/8- Tracker dañado\n", + "Found directory: ./Data_set_1/dataset_prueba_1/8- Tracker dañado\n", "\tTracker dañado 8 Maria Elena M3 2018.jpg\n", "\tTracker dañado 13 Maria Elena M3 2018.jpg\n", "\tTracker dañado 20 Maria Elena M13 2018.jpg\n", @@ -206,7 +204,7 @@ "\tTracker dañado 12 Maria Elena M3 2018.jpg\n", "\tTracker dañado 1 Pampa Camarones M1 2019.jpg\n", "\tTracker dañado 3 Pampa Camarones M1 2019.jpg\n", - "Found directory: ./dataset_prueba_1/0- Normal\n", + "Found directory: ./Data_set_1/dataset_prueba_1/0- Normal\n", "\tNormal 30 Valle de La Luna M1 2019.jpg\n", "\tNormal 16 Tiltil M2 2019.jpg\n", "\tNormal 3 Citrino.jpg\n", @@ -236,11 +234,11 @@ "\tNormal 26 Llano de Llampos M1 2019.jpg\n", "\tNormal 13 Tiltil M1 2019.jpg\n", "\tNormal 7 El Aguila M1 2019.jpg\n", - "Found directory: ./dataset_panel\n", + "Found directory: ./Data_set_1/dataset_prueba_0\n", "\tembeddings.pickle\n", "\tle.pickle\n", "\trecognizer.pickle\n", - "Found directory: ./dataset_panel/2- Dos-Cuatro Celdas\n", + "Found directory: ./Data_set_1/dataset_prueba_0/2- Dos-Cuatro Celdas\n", "\tDos-Cuatro Celdas 14 Maria Elena M1 2018.jpg\n", "\tDos-Cuatro Celdas 10 LLano de LLampos M3 2019.jpg\n", "\tDos-Cuatro Celdas 15 Maria Elena M2 2018.jpg\n", @@ -263,13 +261,13 @@ "\tDos-Cuatro Celdas 20 Maria Elena M3 2018.jpg\n", "\tDos-Cuatro Celdas 5 El Aguila M1 2019.jpg\n", "\tDos-Cuatro Celdas 17 Maria Elena M2 2018.jpg\n", - "Found directory: ./dataset_panel/6- Caja Conexion\n", + "Found directory: ./Data_set_1/dataset_prueba_0/6- Caja Conexion\n", "\tCaja Conexion 2 Pampa Camarones M3 2019.jpg\n", "\tCaja Conexion 3 Pampa Camarones M3 2019.jpg\n", "\tCaja Conexion 1 El Aguila M1 2019.jpg\n", "\tCaja Conexión 11 Pampa Camarones M1 2019.jpg\n", "\tCaja Conexión 12 Llano de Llampos M2 2019.jpg\n", - "Found directory: ./dataset_panel/7- Soiling\n", + "Found directory: ./Data_set_1/dataset_prueba_0/7- Soiling\n", "\tSoling 19 Pampa Camarones M4 2019.jpg\n", "\tSoling 6 El Aguila M1 2019.jpg\n", "\tSoling 2 El Aguila M1 2019.jpg\n", @@ -291,7 +289,7 @@ "\tSoling 8 Pampa Camarones M1 2019.jpg\n", "\tSoling 22 Valle de la Luna M1 2019.jpg\n", "\tSoling 17 Pampa Camarones M4 2019.jpg\n", - "Found directory: ./dataset_panel/4- Falla Diodos\n", + "Found directory: ./Data_set_1/dataset_prueba_0/4- Falla Diodos\n", "\tUn Diodo 25 Casuto M4 2019.jpg\n", "\tUn Diodo 7 Pampa Camarones M2 2019.jpg\n", "\tUn Diodo 19 Pampa Camarones M4 2019.jpg\n", @@ -320,7 +318,7 @@ "\tDos Diodos 1 Tiltil M2 2019.jpg\n", "\tUn Diodo 17 Pampa Camarones M3 2019.jpg\n", "\tUn Diodo 5 Pampa Camarones M2 2019.jpg\n", - "Found directory: ./dataset_panel/3- Cinco-Mas Celdas\n", + "Found directory: ./Data_set_1/dataset_prueba_0/3- Cinco-Mas Celdas\n", "\tCinco-Mas Celdas 1 El Aguila M1 2019.jpg\n", "\tCinco-Mas 4 Cerro Demonidor M2 2019.jpg\n", "\tCinco-Mas Celdas 5 Llano de LLampos M5 2019.jpg\n", @@ -341,7 +339,7 @@ "\tCinco-Mas Celdas 12 Maria Elena M1 2018.jpg\n", "\tCinco-Mas 2 LLano de LLampos M3 2019.jpg\n", "\tCinco-Mas Celdas 10 Maria Elena M1 2018.jpg\n", - "Found directory: ./dataset_panel/1- Una Celda\n", + "Found directory: ./Data_set_1/dataset_prueba_0/1- Una Celda\n", "\tUna Celda 22 LLano de LLampos M4 2019.jpg\n", "\tUna Celda 10 Cerro Dominador M1 2019.jpg\n", "\tUna Celda 17 Cerro Dominador M1 2019.jpg\n", @@ -365,7 +363,7 @@ "\tUna Celda 11 Cerro Dominador M1 2019.jpg\n", "\tUna Celda 6 El Aguila M1 2019.jpg\n", "\tUna Celda 8 Pampa Camarones M3 2019.jpg\n", - "Found directory: ./dataset_panel/9- No es Panel\n", + "Found directory: ./Data_set_1/dataset_prueba_0/9- No es Panel\n", "\tNo es panel 12 Casuto M1 2019.jpg\n", "\tNo es panel 5 El Aguila M1 2019.jpg\n", "\tNo es panel 16 Llano de Llampos M1 2019.jpg\n", @@ -383,7 +381,7 @@ "\tNo es panel 4 El Aguila M1 2019.jpg\n", "\tNo es panel 17 Cerro Dominador M1 2019.jpg\n", "\tNo es panel 8 Casuto M1 2019.jpg\n", - "Found directory: ./dataset_panel/5- Panel Desconectado\n", + "Found directory: ./Data_set_1/dataset_prueba_0/5- Panel Desconectado\n", "\tPanel Desconectado 24 Llano de LLampos M3 2019.jpg\n", "\tPanel Desconectado 6 Pampa Camarones M1 2019.jpg\n", "\tPanel Desconectado 19 Pampa Camarones M3 2019.jpg\n", @@ -409,7 +407,7 @@ "\tPanel Desconectado 7 Pampa Camarones M1 2019.jpg\n", "\tPanel Desconectado 2 El Aguila M2 2019.jpg\n", "\tPanel Desconectado 8 Pampa Camarones M1 2019.jpg\n", - "Found directory: ./dataset_panel/8- Tracker dañado\n", + "Found directory: ./Data_set_1/dataset_prueba_0/8- Tracker dañado\n", "\tTracker dañado 8 Maria Elena M3 2018.jpg\n", "\tTracker dañado 13 Maria Elena M3 2018.jpg\n", "\tTracker dañado 20 Maria Elena M13 2018.jpg\n", @@ -430,7 +428,7 @@ "\tTracker dañado 12 Maria Elena M3 2018.jpg\n", "\tTracker dañado 1 Pampa Camarones M1 2019.jpg\n", "\tTracker dañado 3 Pampa Camarones M1 2019.jpg\n", - "Found directory: ./dataset_panel/10- Reflejos\n", + "Found directory: ./Data_set_1/dataset_prueba_0/10- Reflejos\n", "\tReflejo 3 Citrino.jpg\n", "\tReflejo 10 Pampa Camarones M1 2019.jpg\n", "\tReflejo 4 Citrino.jpg\n", @@ -454,7 +452,7 @@ "\tReflejo 14 Pampa Camarones M1 2019.jpg\n", "\tReflejo 20 LLano de LLampos M2 2019.jpg\n", "\tReflejo 12 Pampa Camarones M1 2019.jpg\n", - "Found directory: ./dataset_panel/0- Normal\n", + "Found directory: ./Data_set_1/dataset_prueba_0/0- Normal\n", "\tNormal 30 Valle de La Luna M1 2019.jpg\n", "\tNormal 16 Tiltil M2 2019.jpg\n", "\tNormal 3 Citrino.jpg\n", @@ -484,7 +482,11963 @@ "\tNormal 26 Llano de Llampos M1 2019.jpg\n", "\tNormal 13 Tiltil M1 2019.jpg\n", "\tNormal 7 El Aguila M1 2019.jpg\n", - "Found directory: ./model\n", + "Found directory: ./.ipynb_checkpoints\n", + "\tTrain_Classifier_AllDeep-checkpoint.ipynb\n", + "\tTrain_Classifier_DEEP_SVC-checkpoint.ipynb\n", + "Found directory: ./Data_set_DogCat\n", + "Found directory: ./Data_set_DogCat/training_set\n", + "Found directory: ./Data_set_DogCat/training_set/cats\n", + "\tcat.2414.jpg\n", + "\tcat.2699.jpg\n", + "\tcat.1814.jpg\n", + "\tcat.2472.jpg\n", + "\tcat.55.jpg\n", + "\tcat.3649.jpg\n", + "\tcat.689.jpg\n", + "\tcat.2297.jpg\n", + "\tcat.268.jpg\n", + "\tcat.3808.jpg\n", + "\tcat.2971.jpg\n", + "\tcat.3950.jpg\n", + "\tcat.3786.jpg\n", + "\tcat.1068.jpg\n", + "\tcat.1717.jpg\n", + "\tcat.3040.jpg\n", + "\tcat.1190.jpg\n", + "\tcat.2170.jpg\n", + "\tcat.2312.jpg\n", + "\tcat.3928.jpg\n", + "\tcat.2400.jpg\n", + "\tcat.144.jpg\n", + "\tcat.10.jpg\n", + "\tcat.2984.jpg\n", + "\tcat.1563.jpg\n", + "\tcat.2358.jpg\n", + "\tcat.2270.jpg\n", + "\tcat.544.jpg\n", + "\tcat.3956.jpg\n", + "\tcat.384.jpg\n", + "\tcat.1445.jpg\n", + "\tcat.3336.jpg\n", + "\tcat.1083.jpg\n", + "\tcat.20.jpg\n", + "\t_DS_Store\n", + "\tcat.1085.jpg\n", + 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11_DJI_0038_1.jpg\n", + "\t36_Mision 6_DJI_0030.jpg\n", + "\t15_Mision 6_DJI_0030.jpg\n", + "\t4_Mision 55_DJI_0263.jpg\n", + "\t3_Mision 32_DJI_0029_1.jpg\n", + "\t7_Mision 5_DJI_0085.jpg\n", + "\t2_Mision 14_DJI_0070.jpg\n", + "\t1_Mision 38_DJI_0054.jpg\n", + "\tPunto_3.png\n", + "\t6_Mision 16_DJI_0082.jpg\n", + "\t1_Mision 10_DJI_0150.jpg\n", + "\t3_Mision 11_DJI_0003.jpg\n", + "\t1_Mision 23_DJI_0058.jpg\n", + "\t3_Mision 11_DJI_0038.jpg\n", + "\t4_Mision 48_DJI_0075.jpg\n", + "\t8_Mision 9_DJI_0015.jpg\n", + "\t8_Mision 21_DJI_0033.jpg\n", + "\t1_Mision 16_DJI_0057.jpg\n", + "\t12_Mision 9_DJI_0040.jpg\n", + "\t1_Mision 3_DJI_0045.jpg\n", + "\t6_Mision 22_DJI_0023.jpg\n", + "\t1_Mision 21_DJI_0010.jpg\n", + "\t3_Mision 13_DJI_0040.jpg\n", + "\t1_Mision 5_DJI_0075_1.jpg\n", + "\t1_Mision 15_DJI_0070.jpg\n", + "\t1_Mision 23_DJI_0059.jpg\n", + "\t27_Mision 6_DJI_0030.jpg\n", + "\t4_Mision 21_DJI_0010.jpg\n", + "\t1_Mision 3_DJI_0041.jpg\n", + "\t13_Mision 15_DJI_0025.jpg\n", + 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"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 26\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"[INFO] serializing {} encodings...\"\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtotal\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 27\u001b[0m \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m\"embeddings\"\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mknownEmbeddings\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"names\"\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mknownNames\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 28\u001b[0;31m \u001b[0mf\u001b[0m \u001b[0;34m=\u001b[0m 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path_dataset + \"model_SVM/embeddings.pickle\"\n", "imagePaths = list(paths.list_images(path_dataset))\n", "# initialize our lists of extracted facial embeddings and\n", @@ -720,7 +12505,7 @@ "# loop over the image paths\n", "for (i, imagePath) in enumerate(imagePaths):\n", " print(\"[INFO] processing image {}/{}\".format(i + 1,\n", - " len(imagePaths)))\n", + " len(imagePaths)), end ='\\r')\n", " name = imagePath.split(os.path.sep)[-2]\n", " Im = cv2.resize(cv2.imread(imagePath), (img_width, img_height))\n", " for im in [Im, cv2.flip(Im, -1), cv2.flip(Im, 0), cv2.flip(Im, 1)]: \n", @@ -740,7 +12525,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -751,24 +12536,16 @@ "[INFO] encoding labels...\n", "[INFO] training model...\n", "Confusion matrix, without normalization\n", - "[[24 2 1 4 0 0]\n", - " [ 1 67 6 1 0 0]\n", - " [ 2 2 24 1 0 0]\n", - " [ 5 5 0 17 0 0]\n", - " [ 0 0 0 0 20 1]\n", - " [ 1 4 0 2 6 20]]\n", + "[[1608 80]\n", + " [ 97 1987]]\n", "Normalized confusion matrix\n", - "[[0.77419355 0.06451613 0.03225806 0.12903226 0. 0. ]\n", - " [0.01333333 0.89333333 0.08 0.01333333 0. 0. ]\n", - " [0.06896552 0.06896552 0.82758621 0.03448276 0. 0. ]\n", - " [0.18518519 0.18518519 0. 0.62962963 0. 0. ]\n", - " [0. 0. 0. 0. 0.95238095 0.04761905]\n", - " [0.03030303 0.12121212 0. 0.06060606 0.18181818 0.60606061]]\n" + "[[0.95260664 0.04739336]\n", + " [0.04654511 0.95345489]]\n" ] }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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\n", 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\n", 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" ] @@ -795,18 +12572,14 @@ "output_type": "stream", "text": [ "Classification Report\n", - " precision recall f1-score support\n", + " precision recall f1-score support\n", "\n", - " 0- Normal 0.73 0.77 0.75 31\n", - "1- Una-Mas Celdas 0.84 0.89 0.86 75\n", - " 4- Falla Diodos 0.77 0.83 0.80 29\n", - " 7- Soiling 0.68 0.63 0.65 27\n", - "8- Tracker dañado 0.77 0.95 0.85 21\n", - " 9- No es Panel 0.95 0.61 0.74 33\n", + " 0-Normal 0.94 0.95 0.95 1688\n", + " 1-Falla 0.96 0.95 0.96 2084\n", "\n", - " accuracy 0.80 216\n", - " macro avg 0.79 0.78 0.78 216\n", - " weighted avg 0.80 0.80 0.79 216\n", + " accuracy 0.95 3772\n", + " macro avg 0.95 0.95 0.95 3772\n", + "weighted avg 0.95 0.95 0.95 3772\n", "\n" ] } @@ -824,7 +12597,7 @@ "le = LabelEncoder()\n", "labels = le.fit_transform(data[\"names\"])\n", "\n", - "X_train, X_test, y_train, y_test = train_test_split(data[\"embeddings\"], labels, random_state=0, test_size=0.3)\n", + "X_train, X_test, y_train, y_test = train_test_split(data[\"embeddings\"], labels, random_state=0, test_size=0.5)\n", "\n", "# train the model used to accept the 128-d embeddings of the face and\n", "# then produce the actual face recognition\n", @@ -875,7 +12648,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -883,24 +12656,16 @@ "output_type": "stream", "text": [ "Confusion matrix, without normalization\n", - "[[21 4 1 5 0 0]\n", - " [ 6 60 4 2 2 1]\n", - " [ 7 2 18 2 0 0]\n", - " [ 2 3 4 18 0 0]\n", - " [ 0 0 0 0 21 0]\n", - " [ 1 6 0 0 5 21]]\n", + "[[ 972 32]\n", + " [ 56 1204]]\n", "Normalized confusion matrix\n", - "[[0.67741935 0.12903226 0.03225806 0.16129032 0. 0. ]\n", - " [0.08 0.8 0.05333333 0.02666667 0.02666667 0.01333333]\n", - " [0.24137931 0.06896552 0.62068966 0.06896552 0. 0. ]\n", - " [0.07407407 0.11111111 0.14814815 0.66666667 0. 0. ]\n", - " [0. 0. 0. 0. 1. 0. ]\n", - " [0.03030303 0.18181818 0. 0. 0.15151515 0.63636364]]\n" + "[[0.96812749 0.03187251]\n", + " [0.04444444 0.95555556]]\n" ] }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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8mDqRVbl6zEKuGvMX7epE0DqhZC/ognOnWFUmcTHh/PD+Q/w84VF++nUZKWlHSqgiPx2eNnnJ0dqueV3++OJxfvnoId757DdOZmTl2hw7nsHtT3zMqAeuplrVyiURl1/GXkXNdjpYsW47w27rz+dvD2V30kGm/FbiGk2vsOa5c6ci34u+pscNHy5hGIdhUeyVp3KNVA8DnwH3ewR1Bb609ycC3V3CvlFVh8vxVHvmyDXAflVdo6pOYB1Q17YZKCLLgRVYzqTIKjNVHa+qHVS1Q0DVgl/iB45kEFPt1EsrulolUo5kuNkkH8ngz39ScDiVpPST7Dp4gloRwfRoFMW6vemcyHJwIsvB39sO0jy+dA4jNiqMJJdqmv3J6cRUDy0kRv7ERIZxTp1Ylq3ZXiId8dHh7N1/SkdS8iFqRIXlY5MGQHa2gyPHThIRWsXNplHdGlQJDmLjNmupgaxsB7c98TFX9+lA/56tS6QtJirMbrC22J+STrSX9yg2KozGDWpSKy6SAH9/LujanI1bCl03p9TEx4Szx75PYHVO8LyXpxNf05OLiPdbBWAchkW+K0+JSGcRWWlvlxcS/y3gNqCwNSxdHdAxj7Cct7PTZT/nOEBE6gEjgAvtEst0oASfpfmzMekICdWDiQurTICfcFGzWBZsSXGz+XNzCu1qW1UgYcGBJFQPZu+hE+w/nEHb2uH4i+DvJ7RJCGdnquflFY8WjRPYtSeF3UkHyczKZsa8lVzQ1ZsmJdiXfCj3Sz79yHFWrNtBvYToEulo07Q223Yns3NvKplZ2fz423L6dG/hZtPnvBZM/tlq8J82ZxXd2jdERNi5N5XsbOubIDHpIFt3HSAhrjqqyrAXv6Jh3Vjuuv6CPHl6S/NGtdi1N5U9+w6SlZXNzD9W0bNLU+/iNkzg8NETHEw/CsCSVVuoXzumxFq8oV2zOmzdlczOPSlkZmXz/a/L6dejyELyWaPHjdO3gFKxMW0YFkuAhvaLeQ9wHXCDqq4D2hQaE1DVgyIyGctpfGyf/stOZyIwGJhfCn2hWE4mXURisRrn55YiPTccqrwxazNvDGqNnwjTVyexPeU4t51Xj41Jh1mwJZVF2w/SsV51Jt7eCadTGTtnK4dPZjN30wHa1wnn09s6osCibQdZsCW1VHoC/P15cuiV3PHEBzidTq66uBPn1K3Bu5/OpHmjWvTq2pw1mxJ54NlPOXzkOHP/3sCYibOY8sEItu06wKvjp1pfYKoMueZ8GtUrWc+XgAB/Xhw+gOuHvYfD4eT6S7vQpH4cL38wgzZNErj4vJbccGkXho76nC7XPkd4aBXeH3ULAItXbePdz38jMMAfPxFeeuhaIsNDWLRqK9/+soSmDeK48JZXAHj8zv5cdG7zYt+jR+++gnue+gin08kVfTrSoE4Nxk6cRbOGtejZpRnrNicy/LnPOHz0BH8s2sC4z3/lu3EP4e/vx/DbLuGuxz9AFZo2rMnVfTuV6B55rTfAn1ceGciA+8fgcCiDL+9C0wYV1yPJ1/ScwrfHYUh+dXlnIyJyCVZJwR/4WFVf8CLOUVUNsfdjge3AK6o6UkTqYjmPKPI2ek9T1W/teLnHdpxpqtoin7AJQGdgG1YpZIqqTvC2W23Vmo216d3jvL4f5c3kO7tUtIQ8RIaUb0+h4pJ06GTRRqeRutGFFaAN3Tp3YNmypaWqK/ILq62Vuo/wyvbkjAeW2e2apw1TwrBR1RlYSxYWJ06Iy/5+oIrL8Q6shmzPOEMKOrbjtCggzC2ey/mexdFsMBh8GLMehsFgMBi8w7erpIzDMBgMBl/CrIdhMBgMBq/wmQEheTEOw2AwGHwFMVVSBoPBYPAWU8IwGAwGgzeU98zBpcE4DIPBYPARrBVajcMwGAwGQ1GIIH7GYRgMBoPBC0wJw2AwGAxeYRyGwWAwGLzCOAyDwWAwFI2Q/+o8PoJxGGcJ58SEMO2+bhUtI5c2I6ZUtIQ8rHvryoqW4EbNiOCKluBGVrazoiXkwXO98oqkLOb9FsSUMAwGg8HgHX5+ZqS3wWAwGLzAlDAMBoPBUDSmDcNgMBgM3uLLJQzfrSwzGAyGs4ycRm9vtiLTEukrIptEZIuIPJZPeG0RmSMiK0Rktb1MdaEYh2EwGAw+hPiJV1uhaYj4A2OAfkAz4HoRaeZh9hQwWVXbAtcBY4vSZhyGwWAw+ApCWZUwOgFbVHWbqmYCk4ArPGwUCLX3w4C9RSVq2jAMBoPBhyhGG0aUiCx1OR6vquPt/ZpAokvYbqCzR/yRwCwRuQ+oClxUVIbGYRgMBoMPUQyHkaKqHQpKJp9znmMLrwcmqOrrItIVmCgiLVS1wBGaxmEYDAaDj1CGI713Awkux7XIW+V0G9AXQFUXikhlIAo4UFCipg3DYDAYfAnxciucJUBDEaknIkFYjdqe8/HsAi4EEJGmQGUgubBETQnDYDAYfAUpm6lBVDVbRIYCMwF/4GNVXScio4ClqjoFeAj4QESGYVVXDVHVQqfEMg7DYDAYfIiyGrinqjOAGR7nnnbZXw8Ua0ZS4zAMBoPBl/Ddgd7GYRgs5i3awLOjf8TpcDKofxfuHnyhW3hGZjYP/e9L1m5KJDysKqOfvplacdXJynbw2Ktfs27zbrIdTq6+uAP3DC6yd16xOb9ZLE8PbIO/CF8v2M57sza5hcdHBPP6LR0JrRKInwgv/7iWuev2lTrfOX9v4Jm3v8fhVK6/tAtDb3K/tozMbB58/nNWb9pNRGgV3ht1CwlxkSQmpdJz8Es0qB0NQLvmdXnp4YEADB4+jgOph3E4nHRqXZ8Xhl+Dv7931RC/L1zPk299j8Ph5MbLu3L/zb099GQxdNTnrNqYSPWwqox/fgi14yKZu3gjz4+dQlaWg8BAf54ZeiXndWjE0WMnuezut3PjJx04xDUXd+D5YQPOSD2zF67niTe+w+m09DxwS588eu55diKrNyYSEVaVD5+/ldrxkRxMP8atj33Eyg07ua5/Z162nxXAwAfGsj8lnWyHky5tGvDKwwO9fl4l4aycGkREPhaRAyKythhxjnocDxGR0WWkZ4iIqIhc6HLuKvvcNWWQficR+cMeir9RRD4UkSqF2PcUkWkFhO0QkajSavIWh8PJ029/z4SX72DWp48y5ffl/LPD/WU7ecYiwkKCmfvlk9x2zfm8NN6SPmPuSjIzs/nlk0eYOn44X05ZyO6kg2Wqz09g1HVtGTJ6Pr1HzeTyjgmcU6Oam83Qfk2Zvnw3/V+czX0fLeL569uWOl+Hw8lTb3zLxNfuZM7nj/HTb8vZvN39vkya9jdh1aqw4Oun+O+gnrz43tTcsLo1I5k14RFmTXgk11kAjHtuCL9++gizJz5K6qGjTJuz0ms9j77+DV+9cRfzv3qC739dxqbtSW42X0y19Cz+9mnuvK4nz42x2jkjw6ry+at3Mu+Lx3n3/27k3mcnAhBStTJzPns0d6tVI4L+PVufuXpe/Yav37qbBZOe5PtZy9i0zUPPlIWEV6vCku+e4a7rLuDZMT8BUCkogMfv7M/I+6/Kk+5HL9zKvC8eZ/5XT5CadpSfZq/wSk9J8HbQXkU5lfLsJTUBu8uWD7EGq+9xDtcBq0qbqIjEAt8Aj6pqY6Ap8AtQrdCIPsKqjbuoUzOK2vGRBAUGcFmvtvy6wN3P/7pgLQP6dgSg3/mt+GvZP6gqIsLxk5lkZzs4mZFFYGAAIVUrlam+NnWrszP5KIkpx8hyKFOXJtKndXweu5DKgQCEBgey/9DJUue7csNO6taKok7NKIICA7jiorbMmr/GzWbW/DVc28+6L/17tma+fV8Ko1rVygBkO5xkZTnw9m9/+fqd1KsVTV1bz1UXteOXP9z1/PLnGgZd0gmAyy5ow59LN6OqtGycQI3oMACa1I8jIzOLjMwst7jbEg+QknaULm0anMF6ok7p6d2enz30/PzHGq7rb41fu7xXG/5cYumpGlyJLm0aUDkob6VLtRBrIatsh5PMbO+fV0k5Kx2Gqv4BlNmnpohMEJF3ROQvEdmWUyoQkRARmS0iy0VkjYh4Dn935U+gk4gEikgIcA6Q+3knIk+LyBIRWSsi48V+KiJyv4istyfompRPuvcCn6rqQgC1+FZV94tIVbu0tcSe5CuPPhGJFJFZdvj7uNRiisiPIrJMRNaJyB32OX/7fqy1r3lYsW+oC/uS04mLDs89rhEdzr7kdDeb/S42AQH+VAupTFr6Mfqd35oqlYPoPGAk3QY9x38H9SQ8tGpp5OQhNjyYvWknco+T0k4QG+6+Gt2b09ZzZafaLHzxEj4Z2p1nJpf+KzApOZ24mIjc4xrR4SR53Jd9LjYBAf6EVrXuC8CupINcfOurDBj6LotWbXWLN3j4e7S59CmqVqlE/55tvNKzL/kQNWNOPae4mPz11Ix1f04HbT05TJuzkhaNalEpKNDt/PezlnHFhe28fhn5mp6kA4eIjz31vOJjwklKPuRuk5yeqzkgwJ/QkOA8evLj2vvH0KTv44RUqcTlvUpfei2MsphLqrw408ZhxAHdgUuBl+xzJ4GrVLUdcAHwuhT8C1PgN+BirHlVPPslj1bVjqraAgi28wF4DGirqq2Au/JJtwWwrIA8nwR+V9WOtr5XRcTzjfoMMN+eBGwKUNsl7D+q2h7oANwvIpFAG6CmqrZQ1ZbAJ/llLCJ3iMhSEVmamppSgDzQfBaX9LyFBdms2rALf38//v5uJH989SQfTp7Lrr2pBeZVEvJ7mp4f8Zd3TODbhTvo+sQMbh09nzeHdCr9l2A+BYU896UAm5jIMBZ/9wwzP3mYZ4ZeydBnJ3Lk2KlSzxdv3M2yn0aRmZXNguX/eCfHKz2FP8uN25IYNXYKrz06KI/dj78t5+o+7bzS4pN68jlXXD0F8c0797Ju+gtkZmbz59LNXmsqCWdlCaMMcX3CP6qq0+4OFmufE+BFEVmN5QxquoTlxySsqqjrgK88wi4QkUUisgboBTS3z68GvhCRG4HsYurvAzwmIiuBuViDY2p72PQAPgdQ1elAmkvY/SKyCvgba+RmQ2AbUF9E3hWRvsDh/DJW1fGq2kFVO0RGFtwkEhft/iW2L/kQsVGhbjY1XGyysx0cOXqS8NAq/DR7OT06NSEwwJ+oiGp0aFGP1ZsSKUv2pZ0g3mV967iIYA6kn3CzGXRuXaYv3w3A8u0HqRToR/WQ0lWNxcWEkXTg1KPYl3yIGh73xdUmO9vB4WPWfakUFEBEmPVd0KpJAnXiI9mW6D6AtnKlQPp0b8HMP92rTQrWE86eA6eeU9KB/PSEs2e/+3OKCLWa0vYeSGPIYx8y+v9uol6taLd4a//ZQ7bDSesmnj/NM0dPfEw4e/efel57DxyiRlRYHpsczdnZDg4fPZGrpygqVwqkb4+W/PzHaq81FZuym3ywXDitDkNEEkRkpb3l96V+QqxRiTlUB1w/jTNck7P/HwxEA+1VtQ2wH6gsIve65JVb4a2qi7FKBFGqmvupINaw+LHANfZX+wdYL3eA/lhTBbcHlomIZ0XnOjss38sGBqhqG3urraob8rHL8+kjIj2xJgTrqqqtgRVAZVVNA1pjOaB7gQ8LyNsrWjVOYMfuZBKTUsnMymbq7yu46NwWbjYXnduc735ZAsDP81bTtd05iAg1Y8JZuNyqtz9+IoMV63fSoHZMaeTkYdXONOrGhFArsgqB/sJlHRL4dbV7Y+betBN0a2zl26BGNSoF+JN6JCO/5LymdZPabE9MYdde67789NsKendzvy+9u7Xgm5+t+zJ97iq6tWuIiJCadhSHw5qSZ+eeFLbvTqF2fCTHjmewP8WqtsnOdvD7wvWcU6ew75tTtG1am22Jyey09fzw23IuPq+lm83F3Vvw9YzFAEyds5Lu7S096UeOc8ND7/Pk3ZfRuXX9PGn/8Osyrupd0E/4TNOTYun5dRl9e7jr6XteSyZNXwTAlN9Xcl6HRoW+fI8ez2Cfy/P69a91NKzr3fMqCYJVovZmqwhOa7daVU3Eqk4piHnAjcDHIhIMDAQeKSLZMOCAqmaJyAVAHTuvMVgveSBPsfNxrKosV3KcQ4rdvnEN8K2I+AEJqjpHROYDNwAhgGvl6GhgsYhMV9VFdvapuBoAACAASURBVH43YpV4ZgL3ich9qqoi0lZVPSvY/8ByfM+LSD8gpyI2DEhT1eMi0gToYqcdBWSq6ncishWrg0GJCQjw59kHrubmh8fjdDq5tl8nGtWrwRsf/0zLxgn07taCQZd0ZtiLX9LzhhcIC63Cu0/fDMBNV3bn4ZcncfGtr6AK1/TrSNMGeRukS4PDqTw9aSWf3Xce/n7C5L928E/SYYZd2ow1u9L4bXUSz3+7ipdubM9tFzZEFUZ8trTohIsgIMCf54YPYPDwcTidTgb170zj+nG8+uEMWjepTZ/uLbju0i488NzndBv0POGhVRg70rovf6/ayusf/oy/vx/+/n68NOJaIkKrknzwCP957EMysrJxOpRz2zfkpivO9VrPSw9dw6AHx+JwOrnh0i40qR/HS+On06Zpbfqe15LBl3Xl3mcn0umaUUSEVuH954YA8NG3f7JjdwpvfDKTNz6ZCcDkt+4hurrVL+On2Sv46vX8vuHOMD0jruXa+8fidCo3XGbp+d/7lp5+PVoy+PKu3DPyMzoOeJbw0Cp88PytufHbXvkMR46dJCsrmxnz1vDtO/cQEVaVG0eMJzMrG4fDyXkdGjHkqu7F0lU8Kq704A1SVI+OEics8hXQE2syq/3AM6r6URFxagLvY02UJcBnqvq6HTYBmKaq39rHR1U1xH55TgUCsRqwuwH9VHWHR9pDgA6qOtTjfG66IvI8VlXVDqypgXcCLwBzsF7eAnyuqi/hgVizPb4CxABOLCeQM+T+LeBcO/4OVb3ULj2MsPcjsarHorCc5tVYJZYjwI9Y1WybsEpSI7GqrD7hVAnxcVX9ubB727pte505d2FhJqeVNiM8m48qnnVvXVnREtwIKse+/v8W/Cqo8Tc/zuvakeXLlpZKUOUajbTOLe96Zbv5lb7LCpmttlwotxKGql5ftFWeOHs41dDsGTbE4zjE/j8F6OpF2hPI50vcNV1VfQprFSpPivyksHtInVdA8J352M/FqlJCVVOx2jpycO311K+ANL1vDTQYDGcGFVjd5A1mpLfBYDD4CIJvlZo8MQ7DYDAYfAhTwjAYDAaDV/hyo7dxGAaDweArmDYMg8FgMHiDIGWygFJ5YRyGwWAw+BCmhGEwGAwGrzBtGAaDwWAoGtOGYTAYDAZvsOaS8l2PYRyGwWAw+BA+7C+MwzAYDAZfwoz0NhgMBkPRiKmSMvgAmdlOdqYcr2gZuax+o7CVdCuGQZ8sqWgJbnx5y2mdiLRIQoMDizY6iymL13zOehi+inEYBoPB4DP49noYxmEYDAaDD+HD/sI4DIPBYPAZxDR6GwwGg8ELzDgMg8FgMHiNcRgGg8Fg8Aof9hfGYRgMBoMvYUoYBoPBYCgaM/mgwWAwGLzBWkDJdz2GcRgGg8HgQ/j5cBHDd9cCNBgMhrMQEe+2otORviKySUS2iMhjBdgMFJH1IrJORL4sKk1TwjAYDAYfQcpo8kER8QfGAL2B3cASEZmiqutdbBoCjwPdVDVNRGKKSteUMAwGg8GH8BPvtiLoBGxR1W2qmglMAjxn/PwvMEZV0wBU9UBRiRZYwhCRdwEtKFxV7y9SsuGMYdGKzYz+ZAYOp5P+F7Zn8FXnu4VPnrqA6bOX4u/nR3hoVR659ypqREfkhh87fpJbHnyb7p2a8eDtl5VIw9xFG3j2nR9wOJXr+nfmnhsvcgvPyMxm+AtfsGbzbiJCqzB65C0kxFUHYMPWvTz+2mSOHjuJn/gxZfwwKlcKZOrsFYye+CsOp5NeXZvxxN2Xl0gbQLuEcO7oVhc/EWZt2M+3K/fmseneIJIb2tdCge2px3lt9j/Ui6zCvefVJzjIH6cqk5fv4c+tqSXS4Ov3qDB++2s9j7/+LQ6nk5uuOJdhQ/qUSz5nqp4citHoHSUiS12Ox6vqeHu/JpDoErYb6OwRvxGAiCwA/IGRqvpLYRkWViW1tJCwCsEuZi0F9qjqpV7YO4A1LqeuVNUdBdgeVdUQEakLTFPVFsXQlZNPIJANfAq8papOEekA3FwcBysiO4AOqpribZzS4HA4efvDqbz29K1EVw/lrsfG0a1DU+omnCqhNqwXx/sv303lSkH8NHMR70+cyTPDr8sN/3jSbFo3q1cqDf/35nd88cZd1IgO5/I73uSi7i1oVLdGrs3X0/8mrFowf3z1JFNmL+elcVMZ8+wtZGc7ePC5z3nzqcE0O6cmaenHCAzwJy39GC++N4VpHz5EZHgIw1/4gvnLNtO9faNi6/MTuLt7PZ6atp7UY5m8eXVLFu1MIzHtRK5NfFhlrm1bk4d/XMuxTAdhla0/r4xsJ2/M2cLe9JNUrxLIWwNasTzxEMcyHf+qe1SU9odfmcwPo4cSHxtOr1tepV+PljSpH1em+ZypenIQrJ5SXpKiqgXNgZ9fIp4FgACgIdATqAX8KSItVPVQQRkWWCWlqp+6bsC3HscVwQPAhmLYn1DVNi7bjnLSlZNPc6w6w0uAZwBUdamvl8Y2btlNzRqRxMdWJzAwgF7dWrJgifttbtuiPpUrBQHQrGECyamHc8M2bd3DwUNH6dD6nBJrWLlhF3VrRlE7PoqgwAAuu7Atv85f62bz6/y1DOjbCYBLzm/NguX/oKr8sWQTTRrE0+ycmgBEhFXF39+PXXtTqZcQTWR4CADdOzTi53mrS6SvUUwISYdPsv9IBtlO5Y+tKXSpG+Fmc3HTGKav3ZfrCNJPZgOwN/0ke9NPAnDweBbpJ7IIK8HaEr5+jwpj2bod1E+Iom4tS/vVvdsxoxzyOVP1uFJGVVK7gQSX41qAZ5F4N/CTqmap6nZgE5YDKVhbUbmKSFcRWY/9ohaR1iIytki5ZYyI1AL6Ax+WIo0QEZktIstFZI2IFLqKj4jUFZE/bfvlInJuUXnY9YB3AEPFoqeITLPTqy4iP4rIahH5W0Ra2ecjRWSWiKwQkfdx+ToQkeEistbeHrTPVRWR6SKyyj4/qKT3BCD54GGio8Jyj6MjQ0k+eLhA++m/L6NTW+t35XQ6Gfvpz9x988WlkcC+lEPExYTnHsdFh7EvOd3DJp142yYgwJ9qVSuTln6M7YnJiMBND43jktteY9yXswGoWyuKrbsOkJh0kOxsBzP/XEvSgbQS6YusGkTy0Yzc45SjmURWreRmEx8WTM3wyrxyZXNeu6oF7RLCPZOhUUwIAf5Cku1AioOv36PCSEpOp2bsKQcbHxtBkof204mv6clFrPUwvNmKYAnQUETqiUgQcB0wxcPmR+ACK1uJwqqi2lZYot70knoLuDgnM1VdJSI9vIhX1rwFPAJUK0acYBFZae9vB64FrlLVw/YN+tvuOVBQW80BoLeqnrR7FHwFFLkMmqpuExE/wLPXwbPAClW9UkR6AZ8BbbBKI/NVdZSI9MdyOIhIe+BWrLpHARaJyDygPrBXVfvbdmHkg4jckZNWjfhahQjON26+prP+WMmmrXt4e9TtAPw4czFd2jUmJirvy7FY5KvBwySfxyQiZDucLFm9nanjhxFcOYjrh42lReMEurdvxAvDr2HoyE8RP6F983okJpWs7SBfyR56/P2E+LBgHp+ynqiqQbx8RXPunbwqt8QRUSWQ4b3O4c3ftxTcOFhohnlP+fo9KlxXmWfjNb6mx5Wy0KGq2SIyFJiJ1T7xsaquE5FRwFJVnWKH9bELBA7gYVUt9OF71a1WVRM9XiDFq3wtJSJyKXBAVZeJSM9iRD2hqm1c0gkEXrQdnhOrYSgW2FdA/EBgtIi0wbrm4lTs5vfYuwMDAFT1d7tkEQb0AK62z08XkTQX+x9U9Zit/3vgPOAX4DUReRmrveXP/ATYDWDjAZq2bFvgOyo6MpTklFNfV8mph4mKyOuXl67ewuffzePtUbcRFGj9dNZv2sXqjTv5ceYiTpzMJDvbQXDlIO68sXgljhrR4SQdOFV1mpScTmyUux+Miw5n7wHrKzs728GRYycJD61CXEwYXdo0oLpdrXJBl2as3byb7u0bcVG3FlzUzWqO+nLKX/j7l+yvMfVYJtEhp0oUUSFBHDye6W5zNIONB47icCr7j2Sw59BJ4sMq80/yMYID/XmmXxMmLt7FpgNHS6TB1+9RYcTHhLNn/6mSy979adSIyvc757Tga3pyEMpu4J6qzgBmeJx72mVfgeH25hXedKtNtKtiVESCRGQExWtHKAu6AZfbjcGTgF4i8rmIdBaRlfbmTdeOwUA00N52JPuByoXYD7NtWmOVLIK8ESsi9bEcjGc3tcIaovJ7oef7y1HVzUB7rIb2/4nI0/nZeUvjc2qyOymVpP0HycrK5vcFazi3YxM3m3+27eWN93/ixccGExEWknv+qQcHMnncw3z93gjuvrkvfc5vU2xnAdC6SQLbdyeza28qmVnZTJ29gt7dmrvZXNStBd/9shiAGfNWcW67cxARzu/UhA1b9+Y6rEUrt9CwbiwAKWlHAEg/cpyJPy7guku7FFsbwOYDR4kPq0xstUoE+Ak9GkSxaId71c3CHWm0ig8FILRyAPHhldl3OIMAP+Gpixvz++ZkFmw7WKL8wffvUWG0a1aHrbuS2bknhcysbL7/dTn9erQq83zOVD2u+PmJV1tF4E0J4y7gbayv8T1YxZh7y1OUJ6r6ONYAE+wSxghVvdEOblNQvHwIwyqpZInIBUAdL+x3272dbsEq2hWKiEQD44DRqqoeJbM/sJzWc/Z1pNjVYznnnxeRfkCEi/0EEXkJy3lcBdwkIvHAQVX9XESOAkO8ufiCCPD354HbL+Xh5z/F6XTSr1d76iXE8vGk32jcoCbdOjblvYm/cOJkJs+8PgmA2KhwXnzsxiJSLoaGAH9GPTiAm0e8j8PpZOAlnWlUL47XP/qZVo0T6N29BYP6d2bYC1/Q4/oXCK9WhdEjbwIgrFoVbh/Uk8vueAMR4YIuTbmwq/UiffadH1i/xWrre2BIH+onFDk2KV+cCuPmb2dU/6b4ifDrpgPsSjvB4A4J/JN8lMU701ieeIh2tcIYO7A1ToVPFu7kSEY2PRtG0TyuGtUqB3BRYyv/N+dsYXvq8X/VPSpK+yuPDGTA/WNwOJTBl3ehaYOK65Hka3py8HYUd0UhBVff+yYuDsObbrVHVTXE5TgKmIpV1bQSq+TST1V35Net1m63+A44DswB7nNNzyVdz261E4E3bEeTq1dEqgOfAPXsNO9Q1dUiEonVPhIFzMOqnmqvqikiMhz4j53Vh6r6lohcDLyKVa2WBdytqoV2g27asq1O+HFOUbfstFEvpmpFS8jDDZ/6Vk/yL28psrnstBJagp5dZxPdOndg2bKlpXrdV6/XTHuP/MIr28lD2i0rpFttuVBkCcOuXnkb6IJVbbIQGKaqhbamlxeqOheY66VtiMdxCtC1MFu7620Le/8fwLWc+ngBcQssebjqVdWD5B1tid3Q5DpqaJhL2BvAGx72M7FKegaD4V+GDxcwvGrD+BKYDMQB8cA3WF/DBoPBYChjyqhbbbngjcMQVZ2oqtn29jmFTBliMBgMhpJh9ZIqk4F75UJhc0lVt3fniDU17iQsRzEImH4atBkMBsPZhZy5Cygtw3IQOervdAlT4LnyEmUwGAxnKxVV3eQNBToMVS35THIGg8FgKDY5VVK+ilcjvUWkBdAMl0FuqvpZeYkyGAyGs5UzsoSRg4g8gzX9bTOsYeb9gPlY8yAZDAaDoQzxXXfhXS+pa4ALgX2qeivWNBmVCo9iMBgMhuIiYk1i6c1WEXhTJXXCHrGcLSKhWPMj1S9nXQaDwXBWckZXSQFLRSQc+ACr59RRYHG5qjIYDIazFB/2F0U7DFW9x94dJyK/AKGq6htLUxkMBsO/CEHKbHrz8qCwgXvtCgtT1eXlI8lgMBjOUnx8ttrCShivFxKmQK8y1mIoR4IC/Kgb7TszxJ7MPK1rcHnFe9e2rmgJblw+5q+KluDG3BHnV7SEs4Izsg1DVS84nUIMBoPhbEcA/zPRYRgMBoPh9HPGj/Q2GAwGw+nBOAyDwWAwFIm1RKvveowiR3qLxY0i8rR9XFtEOpW/NIPBYDj78OX1MLyZGmQs1rKm19vHR4Ax5abIYDAYzmJEvNsqAm+qpDqrajsRWQGgqmkiElTOugwGg+GsQ4AAH66S8sZhZImIP/ayrCISDTjLVZXBYDCcpfiwv/DKYbwD/ADEiMgLWLPXPlWuqgwGg+EsROQMnRokB1X9QkSWYU1xLsCVqrqh3JUZDAbDWYgP+wuvFlCqDRwHprqeU9Vd5SnMYDAYzkbO9HEY07HaLwRridZ6wCageTnqMhgMhrMOgQpbHMkbvKmSaul6bM9ie2e5KTIYDIazlQocY+ENxR7prarLRaRjeYgxnF7mLtrAqHd/wOFUBvXvzD2DL3ILz8jMZviLX7B2827CQ6sw+plbSIirzo+/LuP9Sb/n2m3cmsS0Dx6iecOaueduf/xDdiWlMmvCoyXS9sfijbww9iecTifX9uvMHde7T468ZPVWXhw7hU3bknjjqcH07XFqptnbHvuAVRt20r5FPd5/4bYS5Z8f85du4uX3fsLpVK7u24nbBrnPz7l0zTZeGTeFf7bv4+XHb6DPea1yw9pc8igN69YAoEZ0OO8+e2up9XSqG8HQXufgL8L0NUl8uTgxj03PxtEMObcOqrA1+SjPT99Im4Rwhl7QINemdvUqjJq2nvlbUkutqTB++2s9j7/+LQ6nk5uuOJdhQ/qUa35nmp4cxIdX9famDWO4y6Ef0A5ILjdFFYyINAa+djlVH3haVd8qIt5/gGFY1Xd+wJOq+lMh9qOAP1T1NxGZC4xQ1aUiMgO4QVUPlfJSCsXhcPL0W9/x+et3USM6nMvvfJPe3VrkvtQAJk//m7Bqwcz78kmmzF7OS+9PZczIW7iyd3uu7N0egI1b9/LfJz9ycxa//LGaKsElX/bd4XAy6t0f+OTlO4iNDuOae9+m17nNOKfOKW1xMRH875FBfDx5Xp74tw/syYmMTL6e9neJNeSn6cUxPzD+xf8SGxXG9fe/S88uzWhQJ/aUpuhwnn9oEBO+y6upUlAg34wdVmZ6/AQeuKghI75ZTfKRDMbd2I4FW1PZmXo816ZmeDCDOyUw9MuVHM3IJrxKIAArEw9x+2fLAKhWOYAvbuvEkh1pZaYtPxwOJw+/MpkfRg8lPjacXre8Sr8eLWlSP65c8z1T9OQg+HYJw5uR3tVctkpYbRpXlKeoikRVN6lqG1VtA7THavD/obA4IlILeBLorqqtgC5AoasSqurTqvpbPucvKW9nAbBywy7q1IyidnwUQYEBXNarLbPmr3WzmbVgLQMutmaBueT81vy1/B9U1c1myuwVXH7hqbW2jh3P4MPJc7nv5t4l1rZ60y7qxEeSEB9JUGAA/Xu2YfaCdW42tWpUp0n9ePzy+evq2q4hVUvhsPJj7aZEasdFUSsuksDAAPqe35o5C9011axRnUb1405Lt8gmNULZk3aCpPSTZDuV3zceoFuDSDebS1vF8ePKvRzNyAbg0PGsPOmc3yiaRdsPkpFdvkOrlq3bQf2EKOrWsn5vV/dux4x5Fbdwp6/pceWMnRrEHrAXoqrP2tsLqvqFqp48TfoqmguBraq6swi7GKwpU44CqOpRVd0OICJtRORvEVktIj+ISIR9foKIXOOZkIjsEJEoEakrIhtE5AMRWScis0Qk2LbpaKe3UEReFZG1nukUxf6UQ8THhOcex0WHsT8l3cMmPdcmIMCfalUrk5Z+zM1m2hx3h/H6xzO4fWBPKlcq+WQA+1PSqeGiLTY6nP2p6YXEKH/2p6YTGx2WexwbFcaB1MNex8/MzOa6+95m8IOj+f2vYj+uPERXCyL5SEbucfLRDKKruTvJhIhgakVU4d3r2zD2hrZ0qhuRJ51eTaL5feOBUuspiqTkdGrGnso/PjaCpOSKe6a+pscVEfFqqwgKdBgiEqCqDqwqqLOV64CvvLBbBewHtovIJyJymUvYZ8CjdsljDfBMMfJvCIxR1ebAIWCAff4T4C5V7QoUuHSdiNwhIktFZOnB1BS3MI+CgmXvcexZmrDTzN1fsX4nwZWCaGwX49f9s4edu1Po26NVnnjFIX9tFVxOz09TMSTNnPg4k959gJcfvZ5Xxk0lcW/Ztxd43jd/P6FWRDAPfr2KUdM38PDFjQmp5J8bXr1qEPWjqrK4nKujLG35/ZbKPdsC8TU9rhr8/bzbKoLCsl1s/79SRKaIyE0icnXOdjrEVST2fFmXA98UZWs71r5Yo+A3A2+KyEgRCQPCVTWnUvtToEcxZGxX1ZX2/jKgroiEA9VUNWf9zi8L0TVeVTuoaofqkVFuYTWiw9l74FTNV1JyOjFRYQXaZGc7OHLsJOGhVXLDp/6+nMsvbJt7vHzdDtZs3k23QaO49r532J6YzKAHRhfjcnPyDWOfi7b9yYeIiQwtdjplSWxUGPtdvkD3p6QTXd17TTGR1r2tFRdJh1b12bB1T6n0JB/JdCtRRIdUIuVohodNBgu2pOBwKvvST7Lr4HFqRpx6fhc0jubPf6zw8iY+Jpw9+085pr3706jh8Xs7nfiaHlf87NHeRW1FISJ9RWSTiGwRkccKsbtGRFREOhSpzQv91YFUrDW8LwUus///t9MPWK6q+wFEJEFEVtrbXZ7GarFYVf+HVTIZ4GlTAlzfAA6sTgpl8h3UukkCO3Ynk5iUSmZWNlN/X0Hvbu5Da3p3a8F3M63vhhnzVnFu23NySxhOp5MZc1dxmYvDuOnKbiz+/lkWfP0037x7P/USovn67aHF1taycQI79qTkaps+dyW9zq3YYT/NG9di594Udu87SFZWNr/MW0XPLs28inv4yHEyM612hLT0Y6xcv4MGtWOLiFU4m/YdplZEMDXCKhPgJ/RqEsNfW91LLfO3pNCmtlW1FxYcQEJEMEmHTuSGX9gkhtkbT0//lXbN6rB1VzI796SQmZXN978up18pS6L/Jj055DR6l7YNw25OGIP1HmsGXC8ieX6wIlINuB9Y5I2+wnpJxdg9pNZyauBeDuX/SVLxXI9LdZSqJgJt8jMUkXighqout0+1AXaqarqIpInIear6J3ATkLcLTTGwZws+IiJdVPVvLOdUbAIC/Bn14ABuHvE+DqeTgZd0plG9ON746GdaNkmgd7cWDLykM8Nf+ILzb3iB8GpVePeZm3LjL1q1jRrR4dSOjyokl5IR4O/P0/ddxe2PfYDDqQzo25GGdWvw9oRfaNEogQvPbc7qjbsYOvJTDh89zpyF63n301lM/+hhAG54cAzbEg9w/EQGPa57jhceGsh5HRuXWtMT91zB3U9+iMPp5Mo+HTmnbg3GfDaTZg1rcUHX5qzdlMiDz33G4SPHmbdoA+9N/JUfxj/EtsQDjHrne/xEcKryn4EXuPWuKgkOhbdnb+HVAS3x8xN+XrOPHanHubVbXTbtO8JfW1NZvCONDnWrM+HWDjidyrh52zh80nJcNUIrEV2tEqsSy71/BWD93l55ZCAD7h+Dw6EMvrwLTRtUXI8kX9PjShlVjXUCtqjqNitNmYTVWWm9h91zwCvACK+05VeXZ2eQBLxH/l+0qqqjvNN95iEiVYBEoL6qFtkSJiJ1sNoV4oGTWN2O71LVrSLSBhgHVAG2AbfaL/0JwDRV/dajW+0OoAMQYoe3sPMYgdUBYaSIdAY+AI4Bc4EeqtqtMI2t27bXWfPKrptpacnIKrDppcIo755CxeWmT5ZUtAQ35o44v6Il+DTdOndg2bKlpXrd127SSh/9aIpXtkO719sJuDZOjlfV8WBVMwF9VfV2+/gmrKUqcov8ItIWeEpVB7i+gwrLs7ASRtK/2SkUhqoeByKLNDxlvxOryi6/sJVY3Ww9zw9x2e/psl/X3k0BWricf80l+jq7ER27brLQh2wwGM4MhGKVMFJUtaB2h3w/9HMDRfyAN4EhxZBXqMPwgT4DhgLoLyKPYz2/nRTzoRsMBh9FIKBsBlnsBhJcjmsBe12Oq2F9kM612yVrAFNE5PLCShmFOYwLS67VUJ6o6te4j0Y3GAz/AopZwiiMJUBDEakH7MFq67whJ9Cuas9tgCx1lZSqHiylYIPBYDAUk7KYKUBVs0VkKDAT8Ac+VtV19pRES1XVu4YSD4o9+aDBYDAYyo+yGkCoqjOAGR7nni7Atqc3aRqHYTAYDD6C4N3guIrCOAyDwWDwFaRsqqTKC+MwDAaDwUewRnobh2EwGAwGL/Bdd2EchsFgMPgUPlzAMA7DYDAYfIeKW+vCG4zDMBgMBh/B9JIyGAwGg9eYRm9DhRPgJ4RVCaxoGS74khbfxNdmh43oWPy1TcqbtCXFX6DLpxFMlZTBYDAYisZUSRkMBoPBa0wJw2AwGAxe4bvuwjgMg8Fg8BkE8DclDIPBYDB4gw/7C+MwDAaDwXcQxIcrpYzDMBgMBh/ClDAMBoPBUCRWt1rf9RjGYRgMBoOvIKaEYTAYDAYvMVODGAwGg6FIrAWUKlpFwRiHYTAYDD6E6SVlMBgMBq/w4Ropn57nyuBD/PbXejoOGEW7q0by5oRZFS3H5/SA72nyNT3v/t9gNs/8H39NeqKipQC+d39yEC//VQSnzWGIyDARWScia0XkKxGpXIhtpIistLd9IrLH5TioFBp2iEhUSeMXku5IERnhhd0oEVkoIpNFpE555FEeOBxOHn5lMt+8fQ9/T36K72YtY+O2pIqQ4pN6fFGTr+kB+Gra31xz/5gK1ZCDL94fONWG4c1WEZwWhyEiNYH7gQ6q2gLwB64ryF5VU1W1jaq2AcYBb+Ycq2qmneZpq04rq7xU9WlV7aqqA1V1Z1mkeTpYtm4H9ROiqFsriqDAAK7u3Y4Z81YbPT6sydf0APy1Yitph49XqIYcfPH+ACCCn5dbRXA6q6QCgGD75VsF2FvcBERkgoi8ISJzgJdFpJOI/CUiK+z/sTFP5AAAIABJREFUG9t2/iLymoisEZHVInKfRzrBIvKLiPxXRKqKyMcissRO5wrbZoiIfCMiU4E85VUReVJENonIb0Bjl/P/tdNaJSLfiUgVF+3v2Dq3icg19vkQEZktIsttvVd4kUcbEfnbvrYfRCSiuPeyOCQlp1Mz9lQW8bERJCWnl2eWZ5Qe8D1NvqbH1/Dl+yNebhXBaflKV9U9IvIasAs4AcxS1f9v78zjrCiuPf79MQOCAjOyg4CAgsomMLiggrhGjKJGY1SMoj55+oJERX2axcQ1ETUxijwVg4pr3DBqlEURUBQQRnZBlFVAYFhlZ2bO+6PqDj2XOzNXZoAW6/v53M9Md22nq7vrVJ3qOrW7RsNWwOlmViCpJtDNzPIlnQ7cD1wI9AGaAx19WK1I+urAK8BQMxsq6X5gtJldLSkbmOQbaIAuQHszWxMVQFIOboTUEVeHucAUH/ymmQ328e4FrgEe82ENgZOAI4G3gdeBrcAFZrbBm8smSHob6FRKGUOBG8xsrKS7gT8BNyZXlKQ+vi5o0rRpWpWbCjPb5dy+nJiLmzwQP5niJk/ciGv9OJNUDAQpgb2iMHwP+DxcI74OeE3S5Wb2wm5k95qZFfj/s4DnJLUEjJ37fp4OPGFm+QBJDf6/gQFm9qI/PhPoGZkfqAokWtdRycrC0xUYZmab/fW9HQlr6xVFNk45jYiEvWVmhcBsSfX9OQH3S+oGFAKHAPVLKkNSFpBtZmN9+ueA11JVlJk9BTwFkJPTedc3JE0a1ctm6Yq1RcfLVqylQZ2s3c2u3MRNHoifTHGTJ27EuX7iqy72nknqdGCBma0ysx3Am8AJko6LTGb3TDOvTZH/7wE+8vMi5+Iae3B1XlIDOR7ooZ3bWgm4MDJH0tTMvkxRVjIl5f8s0NfM2gF3RWQC2Bb5P1F+L6AukOPnbFZE0ux2I1+RdGp9KN8sXsWipXls35HPm6Ny6dGtfZAnxjLFTZ64Eev6ibFNam9NHC8Gjvf2/C3AacBkM5sIdChHvlnAUv9/78j5kcB1ksYkTFKRkcKdwB+BQcD1uBHADZJuMDOT1NHMviij3HHAs5L+iqvDc4EnfVgNYLmkyjhlsDR1FsWuYaWZ7ZB0CpD4eiplGWa2XtJaSV3N7GPg18DYlDlXEJmZGQy47WIu7Pc4BQVGr57Hc9RhDfdkkT8qeeIoU9zkAXj63t6cmNOS2tnVmfnuPfz1qfd44e3P9okscayfBD95k5SZTZT0Os4Onw98gTeVlJMBOJPUzcDoyPmncXMd0yXtAAYDAyPhNwJDJA3A2f8f8XEFLATOKeN6ciX9C5gKLAI+jgT/EZjoz8/AKZDSeBF4R9Jkn9+cNMq4EnjCK+D5wFVllFFuzjyxDWee2GZPF5M2cZMH4idT3OT5rz88u69FKEbc6idBfNUFKNXkT2D/Iyens42fOHlfixH4EXPwMX33tQi7sPbzgWVH2kuceFxnpkyZXK72/qh2HW3o22PSintsi+wpZta5POX9UIJrkEAgEIgJbnoivmOMoDACgUAgLsR8P4zgSyoQCARiREV9JCXpLL/w92tJt6cIv1nSbL8A+MN03BUFhREIBAKxQUjp/UrNRcoAHgd6AK2BSyW1Tor2Bc5dU3vcIuIBZUkXFEYgEAjECCm9XxkcC3xtZvO9/71XcIunizCzjxILg4EJQOOyMg0KIxAIBGJCuuYory/qSJoc+fWJZHUIsCRy/K0/VxLXAO+XJV+Y9A4EAoE4kf6kd14pn9WmyiXlGgpJlwOdgZPLKjAojEAgEIgRFfRZ7bdAk8hxY1J4CPdOW38PnGxm25LDkwkmqUAgEIgRFTSH8TnQUlJzuU3nLsF5yI6Uo444l0Y9zWxlOrKFEUYgEAjEhQpah+F96PXF+crLAIaY2Sy/HcJkM3sbeBDnUfs1/9XVYjMr1QlsUBiBQCAQIypqpbeZvQe8l3Tuzsj/p//QPIPCCAQCgZgg4r3SOyiMQCAQiBEx1hdBYfxUKAS25xfuazGKWJy3uexIe5nDG1Tf1yLEmmnvl7kQeK9z1sDx+1qEIr5aubFiMoqxxggKIxAIBGLET34DpUAgEAikR3zVRVAYgUAgEC9irDGCwggEAoGYEDZQCgQCgUB6xHwDpaAwAoFAIEbEWF8EhREIBALxoezNkfYlQWEEAoFAjIixvggKIxAIBOJCuvt17yuCwggEAoE4EWONERRGIBAIxIjwWW0gEAgE0iLMYQQCgUCgbASVgsIIxJ3Rn83mD4+8SUFBIb16dqHfFWcUC9+2fQd9736B6XOWcHDWQTx1b2+aNqxN7qxF3PLAKwCYGbde04Ozux9dbnk+nTKXhwe/Q2Ghcd4Zx9D7l92LhefOnM/fBr/L1wu/477bLuW0E9sVhT36zHt88vkczIzjOrSkf59z98qnih98Ops7Hn6dgsJCfn3eCdzU+8w9Xmac5Bk/eS4PPPFvCguNC846lmsuPqVY+JQZ8xnw5NvMW/AdD9x+GWd0bV8U1vHn/0vLZg0AaFA3m0f/fFW55clpms31XVtQSTB89gpezV26S5yuh9fm8mObgsH81Zt4YORXRWEHVs7gqV4d+XT+GgaNm19uedInvhrjR6cwJP0WuBZXq4PN7JE00iwEppjZhf74IuAcM+u9B0VNlD0GaAhsBTYCV5vZ3ArM/1ngXTN7fXfzKCgo5PaHX+PVf/yGRvWy+dnVD/Gzrm05onnDojgvvTOB7BoHMvH1Oxk2agr3PP42g++9iiMPa8jIIbeQmZnBirz1nHLFA5x5UlsyMzN2+5oKCgoZ8MS/GXjPNdSvncWVNw+k23FH0aJp/aI4Depm86cbf8kLw8YVSzvty0VM+3IRLz92IwDX/u8T5M6cT067w3ZbnnRlvnXAqwwb2JdG9bM59coH6dGtHUe2aFh24v1AnoKCQu5/fBhP3n8t9etkcdlvH6P7ca057NDIPauXzT39f8Vzb4zdJf0BVSrz6uM3VZg8lQS/ObkFv/v3LPI2bufRi49mwoI1LF67pShOo6yq/CqnMf3fmM7GbQVkVatcLI8rjm/KjGUbKkymdIj7BkqV9rUAPwRJbXHK4ljgaOAcSS3TTN5ZUps9Jlzp9DKzo4HncPvoxorc2Yto3rguzQ6pQ5XKmZx/eieGj5tRLM7wj2dw8dnHAnDuKR34ZPJXmBkHVq1SpBy2bs+vkAm7WfOW0KRhbRo3qE3lypmc0e1oxk6cXSxOo/q1aNm84S4jBwm2b89nR34BO3bkk19QQK3sGuWWqSymzFpIiyZ1aNbY1eEvzujEe2On7/Fy4yLPzK+W0KRRHRo3dPfsrJOPZsyEWcXiHFK/Fq2aN9wr7ruPqF+D5eu38t2GbeQXGmPnraJLi1rF4vRoU593Z3zHxm0FAKzfsqMo7PC6B5FdrTK5i9ftcVmTUZq/fcGPSmEARwETzGyzmeUDY4EL0kz7EPC75JOSakl6S9J0SRMktU8RJ0PSg5I+9/H+259vKGmcpKmSZkrqWoYM44DDJTWT9LGkXP87wefXXdIYSa9LmiPpRfkWUVKOpLGSpkgaIanCuorfrVpHo3rZRceN6mXz3ar1xeIsX7WeQ+q7OJmZGdSoXpU16zcBrnHqdtn9dL/8Lzx428XlGl0ArFq9gfp1soqO69fOYtXq9Hp67Y88lJx2Lehx5X2cdeV9HN+xFc2b1CuXPOng6ufgouNG9Q9meVId7k32tjwr89bToO7Oe1avThYr0rxn4JT8pf3+weU3DmT0pzPLLU/tg6qw6vvtRcd5G7dT+6ADisU5JLsah2RX5eEL2/H3i9qT09Q93wL6nNScpz9dWG45dgcpvd++4MdmkpoJ3CepNrAFOBuYnGbaV4H/kXR40vm7gC/M7HxJpwJDgQ5Jca4B1pvZMZIOAMZLGgn8AhhhZvdJygAOLEOGc4EZwErgDDPb6kdILwOdfZyOQBtgGTAeOFHSROAx4DwzWyXpV8B9wNWlFSapD9AHoEmTpiXGM0uZuMxIid59TptmjHvpd3y18DtuuPsFTu3SmqoHVN4lfrpYyrLSS7tkWR4Lv13Jf565A4C+f/wnuTPn06lti92WJx3KI/OeYG/Lk/IR+gHphw+9g3q1s/h2+Wquvf0pWjZrSJNGtXdbnlRlW5KUGZVEo6xq3DZsJnUOqsJDF7bjupe+4NQj6jJp4VryNm5PkcueJ7gGqSDM7EtJDwCjcPMB04D8NJMX4MxBdwDvR86fBFzo8x8tqbakLDOLdsfOBNr7uQ+ALKAl8DkwRFJl4C0zm1pC2S9K2gIsBG4AKgMDJXXwcrWKxJ1kZt8CSJoKNAPWAW2BUf5hygCWl3XBZvYU8BRAx5zOqd5pABrWy2bZyp1D72Ur19GgTs1d4ixdsY5G9Q4mP7+A7zdu5eCaxfVjq2YNOLBaFebMX06Ho0pWUGVRr04WK/J2Vv+K1eupU6tmKSl2MmbCLNoe0ZQDq7neZJecVsycu2SPK4xG9bJZumJt0fGyFWtpEBkl7W32tjz162QVG5WuzFtPvdrp3TOAerWdbI0b1qZz+xbM+WZpuRRG3qbt1K1Rpei4TvUqrNlUXAHkbdzOnO++p6DQWPH9Nr5du4VDsqtxVIOatG1Uk3PbNaBq5QwyM8SWHQU889mi3ZbnhxBfdfHjM0lhZv80s05m1g1YA8yT1MSbhaZKuq6U5M8D3YBoa5a6M1IcATeYWQf/a25mI81snM9vKfC8pCtKKLeXT3e+mS0BbgJW4OZhOgNVInG3Rf4vwCl1AbMi5bczswr75KXjUU2Zv2QVi5atZvuOfN76IJefdW1XLM7PTmrLq+9NAuCdj6ZyUk5LJLFo2Wry850NeMnyNXyzeCVNGtbapYwfQuuWjVm8bDVLv1vDjh35jBo3jW7Htk4rbf262eTOXEB+QQH5+QXkzlxAsyZ1yyVPOnRqfSjfLF7FoqV5bN+Rz5ujcunRbRfr5l5jb8vTplVjFi/L41t/z4aPncbJx6d3zzZ8v5nt212/b+36TUydvbDYBw67w9wV39Moqxr1axxAZiVxcsu6TFiwplicT+evpn1jp6hqVs2kcXY1lm/YyoBRX3HFc5O5cugUnh6/kA/nrNp7yiJNc1QwSaWJpHpmtlJSU5xJqIuZrWVXM9IumNkOSX8HbgdG+9PjgF7APZK6A3lmlmx8HQFcL2m0z6MVTknUAZaa2WBJBwGdcCatssgCvjWzQklX4kYMpTEXqCupi5l95kc0rcxsVhnp0iIzM4O/9L+IS24cREFhIZeeczxHtmjIA0/9h6OPaspZXdtx2bld6HvX8xx30d1k1zyQJ+/pDcCkad/w2PMfkJmZQSWJv95yMbWzq5dPnowMbruuJ/3+NISCwkJ6nt6Zww6tzxMvjOSolo05+bjWzPpqCbfd/zwbNm7hk8/n8OSLo3h10M2cdkI7Jk/7hkv7PoIkunRqlbayKZfMmRkMuO1iLuz3OAUFRq+ex3PUYfvmC6l9IU9mRgZ3XH8e1//haQoLCjn/zGM4/NAGPD50BG1aNab78W2YOXcJN90zlA0bNzN24pcMemEUw57sz/wlK7nnsTepJFFoxlUXn1Ls66rdodBg0Lj53HdeGyoJRs5eyaI1W/j1sU2Zt3IjExauYcrideQ0zebJyzpSaMbTny7k+63pGiz2HHFe6a1Uts44I+ljoDawA7jZzD5MI81CoLOZ5fk5iAXASDPrLakW8AzQHNgM9DGz6UnpKwH34uYgBKwCzve/W70sG4ErzGxBUtoxwC1mNjlyriXwhi/vI9zopbpXWLeY2Tk+3kBgspk9681Xj+KUTSbwiFdUz5LGZ7Udczrb2PGTyqqqvcbivM37WoRdOLxB+RTd/k4c71mfV77Y1yIUMeXha/h+yZxytfYdOuXYqHET04pbr0blKWbWueyYFcePboRhZmV9iZQqTbPI/9uARpHjNcB5ZaQvxH1hlfyV1XP+V1ra7inOzQOi9oE7/PkxwJhIvL6R/6fizF/JefUurfxAIPDjIr7jix+hwggEAoH9F+2VdSq7S1AYgUAgEBPCSu9AIBAI7BeEEUYgEAjEiDiPMILCCAQCgRgR589qg8IIBAKBuLAPF+WlQ1AYgUAgEBPiPukdFEYgEAjEiGCSCgQCgUBaxHmEET6rDQQCgRhRURsoSTpL0lxJX0u6PUX4AZL+5cMnSmpWVp5BYQQCgUCcqACN4ffneRzoAbQGLpWU7IXzGmCtmR0O/B14oCzRgsIIBAKBmCCgkpTWrwyOBb42s/lmth14hV195p3HTl94rwOnJXb4LIkwh/ETYWrulLysahkV4dS/DpBXAflUFEGe0ombPBA/mSpKnkPLm0Fu7pQR1SqrTprRq0qK7jj6lN80DeAQYEkk7FvguKT0RXHMLF/Sepwn8BLrIiiMnwhmViG7CEmavLddKpdGkKd04iYPxE+mOMljZmdVUFbpbgxXVpxiBJNUIBAI7H98CzSJHDcGlpUUR1Imbq+dNZRCUBiBQCCw//E50FJSc0lVgEuAt5PivA1c6f+/CBhtZeyoF0xSgR/KU2VH2asEeUonbvJA/GSKmzzlxs9J9MVtL50BDDGzWZLuxu3i+TbwT+B5SV/jRhaXlJXvj26L1kAgEAjsG4JJKhAIBAJpERRGIBAIBNIiKIz9jLLcAZSQxiTNkLRS0kxJt0j6cxrpNiYd95Y0cDflHiOpc+S4t5frtMi5C/y5i1Kkz5D0haR30yyvQNJGSVv97xVJB5YQd6Ok7pI+lDQzRfhCKfW3876cqZJmSZom6WZJlXxYZ0mPSjrCx0n8Nki6sYT8isqSdLW/b8v8NSyS9LKkqiWkvdvX4VR/TXmSlvryZvjJ0d2itDooIf5v/bM2q6Rr9fH+LOmWSBlvRMIukvRs5No+k/SqpB+0HiJaRilxxvj3apqk8ZKO+CFlpCHDs6me67gRFMZ+RJruAFKxDbdgp8xJrxLK3VMfT8wALo0cXwJMKyHub4Ev08lUUn3cN+hnmFlVoBpupWuN3Re1RLaYWQczawOcAZwN/AnAzCabWT8zm+vjdABygM3AsDKuoTHwe+CXuPvXGOiOm+BMeR/N7E4zG+bLmQy8CfzdzGqaWTu/InhP3s+E7G2Ba3GrkTsB50hqmWbyzpLaJJ/019bFzC42s4pYoJqKXmZ2NG519IN7qIxYExTG/kU67gBSkQ88BvwiOUDSob5nPd3/berPPwtUkfQR8IA/vgI4X9J8Se/73uNmSd8nek+SBvse7RZJKySVJt/HwLGSKkuqDhwOTI3IdqekzyXNAfoDT/vz/STN9jK/kiLf3wD5ZvYZgP+UcDjwku99r5E0z49YdpFPUm1J43wvfRXQEDjGh70laYq/9j7+XIavn9G4hv0WObonRkSSakl6C5gHHIT7Jj5R1kgvy5PsXGxVD6gKvOXz7INbtVsD6C9pkx91TJJ0cOKeperF+p77y5KelrQJyPX3cJ2vj08lXejr8zOf51Z/fENSXtUkDZd0raSDJA3x9yhal9cDBwL/At4HxgIXRPL4ve/NfwBEe/LV/d9P/EijSuS6npS0WtI2SV9Jai+pun9mc+VGUBdIetDL853/fQAcDfyPv9av/b2bLmlYou6SGAccLqmZpI99/rmSTvDydJcbkbwuaY6kFyXnckNSjqSx/hkZIalhivxjS1AY+xep3AEckmbax4Hz2fWZGAgMNbP2wIvAo5GwSsDpZtbfHx+Ea8BuAk7z5dcAFgN/83F+h2vgqgNfA48lXqYUGPAB8DOc4kv+jnygmR0DzMQpkoTrg9uBjl7m61Lk2xbI0E4T0DBgK67Res/LKOAUUvck/4Rr5OoAvXEN11982NVmlgN0Bvr5cx2AQ8ysrZkdCezANfhR7gK+AMYAzwBDI2V9YmYd/fU39eczgJq4Op8K3Aus8seNgLP96Okjn0c6NAcOwCn+DsAo4CHgTmAIri6H4pTZ15FnIkF14B3gJTMbjBsBjfb36BTgQUkHsXPB2I3AObhRV2IBWQ5uhNQR14E5JpL/Zlyn6Dv/Oy0Sdiqu09PR18FQ/D01s06+/CeB9f468nAL2W4CugJz/chrM9DfX9uMEuruXB+2EjdK7QT8iuLvRkd/fa2BFsCJkip7GS/yz8gQ4L4U+ceWsA5j/+IHL/UvimS2wffaks0ZXdg58ngeGBAJyzezgsjxF768GbiXdaiZFUiagjOd4P/+GadIKgOFQP1SRHsF1/Bm4UYRv4uEnSLpflzDvRVY6s9PB170Pfa3Ssh3u28gAPAv8/3A1bh6PAD4BNeLT67XbrgFT4NxDWsB0MqH9ZOU6C03wSnV+UALSY8B/ylBnpNwdT8eaANcICnLl/ULADP7j6S1Pv4JOA+jY3HrCNYDE73c2cDZkgp92GsllJnMe0BTM5sqqQlwlC8/DzjQzD6V1B94GK8MzSy6MvjfwAAzSyiRM4Ge2jk/UBWn8JZ7WV8DNuLMjPk+TldgmJltBpAU7SRUxt3PGjil9hk7Vy9Xxj1v8yXVxD1XWcBdkrr549rAVbgRTgawBTc6/BDneO8vQF0zG+7zfC6p7l6UtAVYCNzgyxwoKfkZAJhkZt/6a5gKNAPW4Toro3wfKcPXxY+GMMLYv0jpDkDScZHedM9S0g8BDsb10PCNRjbwuaRETz2qgLap+ERpVVzjUoh7gbb584U+v+b4HjOud/wCsMGna4R7IadKapTI0Mwm4V6yOmb2VeK83MTuIFwveIuX+TJcT3M1zvzzNyBP0vlJ1zkL97JG6QXUxc2DdMCNis4xs6akVrpXAStw5owNOPNcd+B0oIu3dX+BW+u01scbA9zqr3dlUn4CTgZyzWyFP9cIZ5J5N1L/0fgAtXy+bwDtcQp2C66n/D6uUc1KIX8qNrPznt2DGwH+H24eKVGeKLkTMh7oERkxCrgwMT9jZk3NLDHPNNXMOplZN9yisXn+ebsV6JPiesF1DG7HjYQ24Z7NBFGZEuX/EndPc3znYCtuJPcg8KSZNTezkbiOxiBc411b0hUlXF8vfx3nm9kS3Ogk8Qx0xpvIPNsi/xfgOucCZkXqo52ZnVlCWbEkKIz9i5TuAMxsYuQhTTbrRFnvf9cA+JfiPeBhM3sC16h+Eok/G7jc/5+B6/V+VEr+NXE9yaW4hq4nrtcHrqeYeCGTfd7cQfGRBbhGF1wDcyROWb6OUxS/N7NBOHPcelyDGmUgkCkp6r3zNFxvdwTwV7znUUkdU1zHOJypZDnOXHYw7vqzcPsLbJZ0JHC8z6MO7l0bh7Pdr0vhgmEc0Bd42SuePN+4DsaZeJ6Q1MOXBa7uL8E1WF1wZp2v/XWs9/VwOa4xLu2el0SWzwfcCKdQ0vHASODmRCRJtSJp7sQp60H+eARwQ8R+H63Lav5cU5//y/55OxenTJ+TVMMfJ6jkrxdgLc7ck+BL3PMJ7l7k4UZbK81sh6RTcHV/OfApbgTXTu4DiAuAjWb2KM6sd47P59e4EVxpdbTczAp93OROSDJzgbqSuvhrr6wUE/hxJpik9iNKcgeQTlpJL+O+ssnGNeKJl7sfMETSrbiX6apIsmeAX0jqhzM1vGNm41TCzl1mNk3SOJxC+jXupd+axnW9n+LcOkmDceavhThlmdha5gVvzhHuK6B1SWlXSNoKPCSpHm4ElBjJdMA1LNtw9TgvhUh34cwv9+LMDBtw9T0cuE7SdFzjMAFnYvmEna6v1+DMXsk8gLOt98cproSPn7twSiQX13gt9ufn+usbhWtIC3267biRwnAfPgm4O0V5ZTEAp2i24EwzeTjz1ibge6CtpGk4hRb9lPpG3PMyADeafASY7pXGQnY2xj0kzcbN5/zGj8Iws1xJ/8LNyyzCffiQYB3unizAKcTos/gqTglMx/X0r8R1Qt6RcwE+FZiDu5//xM0hTcTdoyXATZIuxSmklj6f+UllJDMIeEPSL3EdpU2lxMXMtst9dPCofz4zff2k9Y7GgeAaJBAIlImk6ma20f9/O9DQzH67j8UK7GXCCCMQCKTDzyXdgWszFuG+Dgv8xAgjjEAgEAikRZj0DgQCgUBaBIURCAQCgbQICiMQCAQCaREURiBAMa+yMyW9phI816aZV5HPJjn/TCU6gPR+h07YjTJSeoct6XxSnI2lhaeIX6Y318BPg6AwAgFHwqtsW9xahmIrjeU8Af9gzOy/zGx2KVG64xY8BgKxJyiMQGBXPsZ5I+0u6SNJLwEz5LzOJrydTpf03wByDJTzkPsfIo4FFdnnQ26vkly5PRU+9Ascr8MtGpsqqaukupLe8GV8LulEn7Ykr7UlohSecyNhD3tZPpRU1587TM7T7BQ5L6xHVkRlBvYfwjqMQCCC3F4QPXArpcF5R21rZgt8o7vezI6RdAAwXtJI3Kr4I4B2OEeKs3F+uaL51sWtiu7m86plZmskPYFzS/GQj/cSbnX6J95txgicE8CE19q7Jf0c5868LK72ZVTD+QN7w8xW4/xu5ZpZf0l3+rz74lZyX2dm87zblEE431yBABAURiCQoJqcV1FwI4x/4kxFk8xsgT9/JtBeO/eUyAJa4jy6vuw99y6TNDpF/scD4xJ5JXl5jXI60Fo7Pb7X9D6VSvJaWxrJnnNb4nw9FeL2ogDnAPJNuf1GTgBei5R9QBplBH5CBIURCDi2RN2dA/iGM+ofSMANZjYiKd7ZlO1GvjQvr1Eq4bzdbkkhS9qrbFXcc+5mSWPY6bAxGfPlrkuug0AgSpjDCATSZwRwvdzeGUhqJbch0DjgEj/H0RC3WU8ynwEny7l4j3p5/Z7iW8OOxJmH8PESDfg4vDdWFfdaWxIpPed6KgGJUdJlOFPXBmCBd6SXmJc5uowyAj8xgsIIBNLnadz8RK6kmbgd3DJx+2/Pw3nO/T9SuMQ2s1W4eYc3vZfXhEnoHZyX1amSuuK8A3f2k+qz2fmcXSj0AAAAeUlEQVS11l1ANzmvtWey02ttSQzHuXCfjtvbYkIkbBPQRm5jq1PZ6c22F3CNl28W6W3vG/gJEXxJBQKBQCAtwggjEAgEAmkRFEYgEAgE0iIojEAgEAikRVAYgUAgEEiLoDACgUAgkBZBYQQCgUAgLYLCCAQCgUBa/D8uIeFoWndAIgAAAABJRU5ErkJggg==\n", 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X9EI6jcgrfyVwEvCZRurMDXwf5G37OP1/Rc583XKNpMHAWcC+ac/5PqBTUWfSDk2YPJ2NB/Zi4Abr0aGmmkP3H8q/xtb/+9KtS2c6pON+x391N556fipLPvho5favfWEYdzzkoYW2NHTLDfnfjAVMn72QT5YtZ/TDExi+Z/0PYMP33IZR9z1LRDBu4ht069KZ9Xt2Z+HiJby75EMAln70CWOencKmg/oAyR0Rv73xEW65/BTW7tQx8/MqJZF8WmhqKpW27OmuzEUJzCbJRXl0RFxUqHBEvC3pNpLAe0O6+ql0v5uAY4AnWtCebiSB+t007+VwYEwL6itrtbUrOPvS27jjd9+lulrcfPczvDptLiceujsAfxn9BEMGr8+15x9H7YoVTHljLqdddPPK/Tuv1YG9d9qcM355a6lOYY1QU1PNpWcfzmGnX01tbXDMV3Zhi437csMdjwPwzcP24IDPbcXDT05i6CEX0LlTB67+2bEAzF34Ht85/yZqV6xgxYrgkP2GcuAe2wBw9mW38fEnyznku1cBMGybQVxx7lGlOcnMlXfuBRUaU2q1yqWDSHqwdbkof1GgzPsR0SWd70OSef3SiDhf0iCSANwTWACcGBEz0otj90bEP9L9Vi6n+9wbEVsX2DaS5DuOppH0hu+OiJGSxgBnRUTu9yXVU7V271hryOEtej0sW4vHXVXqJthq6txB45v4Cp0mdVp/s9jwhN83We61Sw9s8bGao01vtyqUi7JAmS458/OAtXOW3yS5OJa/zzcaWk732bqBbfX2y1m/d2NtNLN2pMTDB03xPa5mVlFE8nBQuXLQNbOK456umVmGyvlCmoOumVUWj+mamWVHyEnMzcyy5J6umVmGPKZrZpYVj+mamWUnyb1QvlHXQdfMKk4Zx1wHXTOrPH4izcwsK2WeT9dB18wqSl0+3XLloGtmFaa88+k66JpZxSnjmOuga2YVRr6QZmaWGd+na2aWMQddM7MMlXHMddA1s8rjnq6ZWVac8MbMLDtJEvPyjbrlm17dzKyZqqQmp2JIOlDSFElTJZ3TQJm9Jb0gaZKk/zRVp3u6ZlZxWmN4QVI1cDWwPzALGCfp7oiYnFNmHeAa4MCImCGpd1P1uqdrZhVFacKbpqYi7ARMjYhpEfEJMAo4OK/M0cDoiJgBEBHzm6rUQdfMKk6Vmp6AnpKey5lOzqumHzAzZ3lWui7XZsC6ksZIGi/p+Kba1uDwgqTfA9HQ9og4vanKzcxKocgLaQsjYlgj2wtVkh8Ta4AdgH2BzsDTkp6JiNcaqrSxMd3nGtlmZlaWRHIHQyuYBQzIWe4PzClQZmFEfAB8IGkssB2w+kE3Iv6auyzpM2nFZmZlrZXuGBsHbCppMDAbOJJkDDfXP4GrJNUAHYGdgSsabVtTR5W0q6TJwCvp8naSrln99puZZaCIi2jFXEiLiOXAqcCDJPHvtoiYJGmEpBFpmVeAB4CXgGeBP0XEy43VW8wtY1cCXwDuTg/yoqQ9i9jPzKwkWuuJtIi4H7g/b911ecuXAZcVW2dR9+lGxMy8vwy1xR7AzCxLgqIffiiFYoLuTEm7ASGpI3A66VCDmVk5au+PAY8Avktyf9psYPt02cys7EjFTaXSZE83IhYCx2TQFjOzVlHOwwvF3L2wkaR7JC2QNF/SPyVtlEXjzMyaQ0VMpVLM8MItwG1AX2AD4Hbg1rZslJlZS7RS7oU2UUzQVUTcFBHL0+lvNPJ4sJlZKSV3LxSVe6EkGsu90COdfSzNIzmKJNgeAdyXQdvMzFafyjuJeWMX0saTBNm61p+Ssy2Ai9qqUWZmLdEuvyMtIgZn2RAzs9ZQN7xQrop6Ik3S1sCWQKe6dRFxY1s1ysysJdplT7eOpPOAvUmC7v3AcOAJwEHXzMpS+Ybc4u5e+BpJgt65EXEiSa7Itdq0VWZmzSRBdZWanEqlmOGFpRGxQtJySd2A+YAfjjCzstWuhxeA59JvvPwjyR0N75PkjTQzK0tlHHOLyr3wnXT2OkkPAN0i4qW2bZaZWfMIlXXuhcYejhja2LaImNA2TTIza4ESZxFrSmM93csb2RbA51u5LWVt+y0G8vjTvy91M2w1rLvL90vdBCuRdjmmGxH7ZNkQM7PWIKC6PQZdM7P2qt0/kWZm1p446JqZZST5Op7yjbrFfHOEJB0r6Wfp8kBJO7V908zMmqec8+kW8xjwNcCuwFHp8hLg6jZrkZlZC7XrL6YEdo6IoZKeB4iIxelXsZuZlR0BNWU8vFBM0F0mqZr0K3ok9QJWtGmrzMxaoIxjblFB93fAnUBvSb8gyTr2kzZtlZlZM0nt9DHgOhFxs6TxJOkdBXw1Il5p85aZmTVTGcfcopKYDwQ+BO7JXRcRM9qyYWZmzdXe79O9j0+/oLITMBiYAmzVhu0yM2sWQUmTlDelmOGFbXKX0+xjpzRQ3MystEp8H25TVvuJtIiYIGnHtmiMmVlrUBl/S1oxY7r/l7NYBQwFFrRZi8zMWqASvoK9a878cpIx3jvapjlmZi3XboNu+lBEl4j4QUbtMTNrsXJOeNPY1/XURMTyxr62x8ys3CRfwV7qVjSssZ7usyTjty9Iuhu4HfigbmNEjG7jtpmZNUs5P5FWzN+DHsAiku9E+xLw5fR/M7OyU3chrTVSO0o6UNIUSVMlndNIuR0l1Ur6WlN1NtbT7Z3eufAynz4cUSeKa7KZWfZao6ObXtO6GtgfmAWMk3R3REwuUO5XwIPF1NtY0K0GukDBG94cdM2sTImq1rlPdydgakRMA5A0CjgYmJxX7jSSO7qKen6hsaD7VkRc2IyGmpmVjCi6p9tT0nM5y9dHxPU5y/2AmTnLs4Cd6x1L6gccQjL82uKgW74j0WZmDRHUFDdouzAihjVe0yryP+VfCfwwImqLvU2tsaC7b1E1mJmVkdXo6TZlFjAgZ7k/MCevzDBgVBpwewIHSVoeEXc1VGmDQTci3m5+W83MSqeVbhkbB2wqaTAwGzgSODq3QEQMrpuXNBK4t7GAC/4KdjOrQK0Rc9OHw04luSuhGrghIiZJGpFuv6459TromllFEcU9gFCMiLgfuD9vXcFgGxHfKKZOB10zqywq7yfSHHTNrKIkT6Q56JqZZaZ8Q66DrplVoDLu6DromlmlUfvMp2tm1h615t0LbcFB18wqji+kmZllRe3063rMzNojDy+YmWXMPV0zswyVb8h10DWzCiOg2j1dM7PslHHMddA1s0ojVMYDDA66ZlZx3NM1M8tIcstY+UZdB10zqyxyT9fMLFN+DNjMLCNJEvNSt6JhDrpmVnF894KZWYbKeHShrPNCWDM8+vRkdv76Rex42AX89q8PrbI9Ijj38n+w42EXsOcxF/PiqzPrba+tXcE+x/2Ko/5v1S88vepvj9Jz59NY9M77bdb+Nd2+u2zOs3//EeNv/zHfP27fVbZ379qZmy75Jk/87Wwe+fMZbLHR+iu3devSmZG//Ab/HXUuz4w6lx23HpRhy8uLivhXKmUXdCXdIGm+pJcbKVMr6YWcaVAjZd9P/x/UWJ2VoLZ2BT+87Hb+fuW3eXLUjxn90HimTHurXplHnprMtJnzefYfP+M35xzJDy79e73tf/j7GDYd1GeVumfPW8x/nn2V/uuv26bnsCarqhKXnfU1vn7GH9jlqEs47IChDMl7L848YX8mvj6b3Y+9lG9feDMXn3Hoym2XnHEIjz7zKjsfeTF7HHspU96cl/UplIW6Md2mplIpu6ALjAQObKLM0ojYPmd6s+2bVf4mTJ7O4P49GdSvJx071HDI/jvwr7ET65X519iJHD58JyQxbJvBvLtkKXMXvgvAnHmLefjJSRx78K6r1P2TK0Zz3qkHl3X2pvZuhy03ZNqshUyfs4hly2sZ/fDzHLTnNvXKDBnch7HPvQbA69PnM7BvD3r16ELXtddit89uzE13PwPAsuW1vPf+0szPoSxIVBUxlUrZBd2IGAu8vTr7SOoi6VFJEyRNlHRwE+UHSXo8LT9B0m4tanSZeGv+O2zQ59Oe6Aa91+GtBe/UL7PgHfqtUiYJuj9OA2uV6v9Y/GvsRPr26s7Wm/Vvw9Zb317dmT1/8crlOfPfoW+v7vXKvPz6HL6093YADN1yIAPWX5cNeq3Dhv16snDx+1z906P5z1/P4rc/OoK1O3XMtP3lREVMpVJ2QbdInXOGFu4EPgIOiYihwD7A5Wq8SzYf2D8tfwTwu0KFJJ0s6TlJzy1cuKC1z6HVRYF1+S9DxKqlBDz4xMv07NGF7bcYWG/bhx99whUjH+ScU77Yii21Qgr9xEbeu3rljY+wTtfOjL3xB5z89T146bXZ1NauoKa6iu2G9OeG0U+y1wm/5sOln/D941cdE14TJMML5dvTba93LyyNiO3rFiR1AH4paU9gBdAP6APMbWD/DsBVkrYHaoHNChWKiOuB6wGG7jCsUEwrKxv0Xoc58+r3lNbv2T2vzLrMzi/Tqzv3/PsFHhj7Mo88NZmPP17Gkg8+YsR5f+X04/ZnxpxF7HXsJSvLf/74S3noL2fRZ71u2ZzYGmLO/Hfp17v+p5C5C96rV2bJhx9z6s9vXbn84p0/Y/qcRXTu1JE5C95l/KTpANz97xfX2KAL5Z1Pt+x7upIG5PRqRzRQ7BigF7BDGoznAZ0aqfaMtMx2wDCgIj6HfXaLgUybuYDpcxbyybLl3PnweA7MGxM8cI+tue1fzxIRPDfxDbp16cT6Pbvz0+9+hYn3XsTzd13A9T8/kd2HbcZ1F5zAlptswKsPXMzzd13A83ddwAa91+HfN57tgNsGJrwyg40H9GRg3x50qKnm0P0/y78er3/tt1uXznSoqQbg+IN34ann/8eSDz9m/ttLmD1vMZsM7A3AnjtuxpQ31swLaUBZjy+UfU83ImYC2zdRrDswPyKWSdoH2LCI8rMiYoWkE4DqVmhqydXUVHPJWV/n66dfw4oVwdFf3oXNN+rLX0Y/AcCJh+7O/p/bikeemsyOh11I504d+N1Pjy1xq61Obe0Kzv71Hdzx2xFUV1Vx873/5dU35nLiIcklh7/c+RRDBvXh2vOOobZ2BVPenMtpvxi1cv+zLx/N9RccS8cONbw5exHf/fktpTqVkivnx4BVaIyvlCTdCuwN9CTpjZ4XEX/OK/N+RHTJWe4J3EMybPAC8DlgeES8WVc2va3s3ojYWtKmwB3Ah8BjwGm59RUydIdh8fjT41rpLC0LPXc7o9RNsNX00fjfjo+IYS2pY4ttPhs3/nNMk+V22nidFh+rOcqupxsRRxVRpkve8kJg1fuccsqmt5Vtnc6/DmybU+zcZjbXzMpR+XZ0yy/ompm1RDJkW75R10HXzCqL8+mamWWrjGOug66ZVRqV9ePqDrpmVnHKOOY66JpZZSl1boWmOOiaWeUp46hb9o8Bm5mtrtZKYi7pQElTJE2VdE6B7cdIeimdnpK0XVN1uqdrZhWnNcZ0JVUDVwP7A7OAcZLujojJOcXeAPaKiMWShpMkyNq5sXrd0zWzypLep9vUVISdgKkRMS0iPgFGAfVydUfEUxFRl7bvGaDJpNMOumZWcYocXuhZly87nU7Oq6YfkPslgrPSdQ05CfhXU23z8IKZVRRRdE92YRMJbwrVUjBDWJrd8CRg96YO6qBrZhWnlW5emAUMyFnuD8xZ5VjStsCfSDIbLmqqUg8vmFnlaZ0k5uOATSUNltQROBK4u95hpIHAaOC4iHitmErd0zWzitMaScwjYrmkU4EHSb7o4IaImFT3DTYRcR3wM2A94Jr00ePlTeXoddA1s4rTWs9GRMT9wP15667Lmf8W8K3VqdNB18wqTxk/keaga2YVxUnMzcyy5CTmZmbZKuOY66BrZpXGSczNzDJVxjHXQdfMKouTmJuZZa2Mo66DrplVHN8yZmaWIY/pmpllRVDloGtmlqXyjboOumZWUVYjiXlJOOiaWcUp45jroGtmlcc9XTOzDPkxYDOzDJVvyHXQNbMKI6d2NDPLlp9IMzPLUvnGXAddM6s8ZRxzHXTNrNKoVb6Cva046JpZRSn3J9KqSt0AM7M1iXu6ZlZxyrmn66BrZhXHt4yZmWXFD0eYmWWn3C+kOeiaWcXx8EFy/6YAAAZ4SURBVIKZWYbc0zUzy1AZx1wHXTOrQGUcdR10zayiCMr6MWBFRKnb0C5IWgBML3U72khPYGGpG2FFq+T3a8OI6NWSCiQ9QPIaNWVhRBzYkmM1h4OuIem5iBhW6nZYcfx+tW/OvWBmliEHXTOzDDnoGsD1pW6ArRa/X+2Yx3TNzDLknq6ZWYYcdM3MMuSg245IOlDSFElTJZ3TQJmQdHnO8lmSzs+skckxx0jyLU2NkHSDpPmSXm6kTK2kF3KmQY2UfT/9f1BjdVrpOei2E5KqgauB4cCWwFGStixQ9GPgUEnF3Bxe6Dh+SjEbI4GmbsxfGhHb50xvtn2zrK056LYfOwFTI2JaRHwCjAIOLlBuOcnV7TPyN0jaUNKjkl5K/x+Yrh8p6TeSHgN+lS5fK+kxSdMk7ZX2zF6RNDKnvmslPSdpkqQL2uKkK1VEjAXeXp19JHVJ37cJkiZKKvT+55YfJOnxtPwESbu1qNHWKhx0249+wMyc5VnpukKuBo6R1D1v/VXAjRGxLXAz8LucbZsB+0XEmenyusDnSYL3PcAVwFbANpK2T8v8OH0yaltgL0nbNuvMrCGdc4YW7gQ+Ag6JiKHAPsDlUqNJBuYD+6flj6D++20l4o+S7UehX66C9/tFxHuSbgROB5bmbNoVODSdvwm4NGfb7RFRm7N8T0SEpInAvIiYCCBpEjAIeAE4XNLJJD9HfUmGPV5a3ROzBi2NiLo/cEjqAPxS0p7ACpI/un2AuQ3s3wG4Kv0jWUvyh9VKzD3d9mMWMCBnuT8wP6cnNCKv/JXAScBnGqkzN2h/kLft4/T/FTnzdcs1kgYDZwH7pj3n+4BORZ2JrULSgEbeyzrHAL2AHdJgPI/GX/Mz0jLbAcOAjq3ZZmseB932YxywqaTBkjoCRwKjcy6yXJdbOCLeBm4jCbx1nkr3g+QX+IkWtKcbSaB+V1Ifkgt81kwRMbOh9zJHd2B+RCyTtA+wYRPVdgfeiogVwHFAdSs22ZrJQbediIjlwKnAg8ArwG0RMamJ3S6nfoq704ETJb1E8kv4vRa050XgeWAScAPwZHPrWhNJuhV4GhgiaZakk5rah2Qcfpik50j+aL7aRPlrgBMkPUMytJD/acZKwI8Bm5llyD1dM7MMOeiamWXIQdfMLEMOumZmGXLQNTPLkIOutZqcrFgvS7pd0totqGukpK+l839qILlPXdm9m5NXQNKbhRIDNbQ+r8z7q3ms8yWdtbpttMrjoGutqS4r1tbAJ0C9J6vSTGmrLSK+FRGTGymyN+BkLtYuOOhaW3kc2CTthT4m6RZgoqRqSZdJGpdmOzsFQImrJE2WdB/Qu66i3Py8aU7hCZJeTDNuDSIJ7mekvew9JPWSdEd6jHGSPpfuu56khyQ9L+kPFM5nUY+kuySNTzOpnZy37fK0LY9K6pWu21jSA+k+j0vavDVeTKscTnhjrU5JTt7hwAPpqp2ArSPijTRwvRsRO0paC3hS0kPAZ4EhwDYkSVwmkzzplltvL+CPwJ5pXT0i4m1J1wHvR8Sv03K3AFdExBNK0lc+CGwBnAc8EREXSvoiUC+INuCb6TE6A+Mk3RERi0hyWkyIiDMl/Syt+1SStJojIuJ1STuTPBX2+Wa8jFahHHStNXWW9EI6/zjwZ5KP/c9GxBvp+gOAbevGa0nyA2wK7AncmmY6myPp3wXq3wUYW1dXml+ikP2ALXOyHnaT1DU9xqHpvvdJWlzEOZ0u6ZB0fkDa1kUkiX/+nq7/GzBaUpf0fG/POfZaRRzD1iAOutaa6qUiBEiDT+4z/wJOi4gH88odRAOpKvP2Lea59Spg14jITWtZ15ain3uXtDdJAN81Ij6UNIaGs3pFetx38l8Ds1we07WsPQh8O80Ni6TNJH0GGAscmY759iVJ0p3vaZJk6YPTfXuk65cAXXPKPUTyUZ+0XF0QHEuSKAZJw0kStTemO7A4Dbibk/S061QBdb31o0mGLd4D3pD09fQYkrRdE8ewNYyDrmXtTyTjtROUfIHiH0g+cd0JvA5MBK4F/pO/Y0QsIBmHHS3pRT79eH8PcEjdhTSSbGrD0gt1k/n0LooLgD0lTSAZ5pjRRFsfIMkd/BJwEfBMzrYPgK0kjScZs70wXX8McFLavkkU/kolW4M5y5iZWYbc0zUzy5CDrplZhhx0zcwy5KBrZpYhB10zsww56JqZZchB18wsQ/8fKB9DrgdjxwsAAAAASUVORK5CYII=\n", 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" ] @@ -927,18 +12692,14 @@ "output_type": "stream", "text": [ "Classification Report\n", - " precision recall f1-score support\n", + " precision recall f1-score support\n", "\n", - " 0- Normal 0.57 0.68 0.62 31\n", - "1- Una-Mas Celdas 0.80 0.80 0.80 75\n", - " 4- Falla Diodos 0.67 0.62 0.64 29\n", - " 7- Soiling 0.67 0.67 0.67 27\n", - "8- Tracker dañado 0.75 1.00 0.86 21\n", - " 9- No es Panel 0.95 0.64 0.76 33\n", + " 0-Normal 0.95 0.97 0.96 1004\n", + " 1-Falla 0.97 0.96 0.96 1260\n", "\n", - " accuracy 0.74 216\n", - " macro avg 0.73 0.73 0.72 216\n", - " weighted avg 0.75 0.74 0.74 216\n", + " accuracy 0.96 2264\n", + " macro avg 0.96 0.96 0.96 2264\n", + "weighted avg 0.96 0.96 0.96 2264\n", "\n" ] } @@ -977,7 +12738,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ @@ -992,7 +12753,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "metadata": {}, "outputs": [], "source": [ @@ -1003,24 +12764,64 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 40, "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "data": { + "text/plain": [ + "'0-Normal'" + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "le.classes_[0]" + ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 38, "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "data": { + "text/plain": [ + "0" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "prob = recognizer.predict_proba([X_train[0]])[0]\n", + "np.argmax(prob)" + ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 28, "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "data": { + "text/plain": [ + "(2048,)" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "X_train[0].shape" + ] }, { "cell_type": "code", diff --git a/GPS_Panel/ClassifierPanel_KML.ipynb b/GPS_Panel/ClassifierPanel_KML.ipynb index 4a27580..71de65c 100644 --- a/GPS_Panel/ClassifierPanel_KML.ipynb +++ b/GPS_Panel/ClassifierPanel_KML.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 90, + "execution_count": 54, "metadata": {}, "outputs": [], "source": [ @@ -19,7 +19,22 @@ "from Utils import doubleMADsfromMedian\n", "from skimage.transform import resize\n", "import pickle\n", - "import simplekml\n" + "import simplekml\n", + "\n", + "from sklearn.preprocessing import LabelEncoder\n", + "from sklearn.svm import SVC\n", + "from sklearn.neighbors import KNeighborsClassifier\n", + "import time\n", + "import tensorflow as tf\n", + "\n", + "\n", + "def classifier(base_model, recognizer, labels, image_input):\n", + " weight, height, dim = base_model.input.shape[1], base_model.input.shape[2], base_model.input.shape[3]\n", + " Im_resize = cv2.resize(image_input, (weight, height), interpolation = cv2.INTER_AREA)\n", + " vec = base_model.predict(tf.keras.backend.expand_dims(Im_resize,0)).flatten()\n", + " prob = recognizer.predict_proba([vec])[0]\n", + " return labels.classes_[np.argmax(prob)], prob[np.argmax(prob)]\n", + " " ] }, { @@ -31,25 +46,53 @@ }, { "cell_type": "code", - "execution_count": 91, + "execution_count": 55, "metadata": {}, "outputs": [], "source": [ - "path_T = \"Pampa/THERMAL_06.tif\"\n", - "path_String = \"Pampa/BP-B-5.tif\"\n", - "ZonaPV = 'BP-B-5'\n", + "path_T = \"Pampa/THERMAL_01.tif\"\n", + "path_String = \"Pampa/BP-A-1.tif\"\n", + "ZonaPV = 'BP-A-1'\n", "path_kml_panel = 'Pampa/KML/Paneles_' + ZonaPV +'_classifier.kml'\n", "path_dict = 'Pampa/KML/Mesa_' + ZonaPV + '.pickle'\n", + "path_new_dict = 'Pampa/KML/Mesa_' + ZonaPV + '_classifier.pickle'\n", "\n", "GR_String = gr.from_file(path_String)\n", "GR_T = gr.from_file(path_T)\n", "geot_T = GR_T.geot\n", - "img_height, img_width = 128,128\n", "## Load List in coordinate latitud and longitude ###\n", "with open(path_dict, \"rb\") as fp:\n", " L_strings_coord = pickle.load(fp)" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Load Classifier" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [], + "source": [ + "path_dataset = './Classifier/Data_set_2/Data_prueba_0/' \n", + "output_recognizer = path_dataset + \"model_SVM/recognizer.pickle\"\n", + "output_label = path_dataset + \"model_SVM/le.pickle\"\n", + "\n", + "\n", + "img_width, img_height = 224, 224\n", + "base_model = tf.keras.applications.Xception(input_shape=(img_height, img_width, 3), weights='imagenet', include_top=False)\n", + "\n", + "x = base_model.output\n", + "x = tf.keras.layers.GlobalAveragePooling2D()(x)\n", + "base_model = tf.keras.models.Model(inputs=base_model.input, outputs=x)\n", + "recognizer_SVM = pickle.loads(open(output_recognizer, \"rb\").read())\n", + "le = pickle.loads(open(output_label, \"rb\").read())" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -59,34 +102,45 @@ }, { "cell_type": "code", - "execution_count": 92, + "execution_count": 77, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "1\n" + "10\n" ] }, { - "ename": "NameError", - "evalue": "name 'classifier' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 14\u001b[0m \u001b[0mIm\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m 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\u001b[0mpanel\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'status'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpanel\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'prob'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mclassifier\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mIm\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 17\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 18\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'problem with coords panel: '\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstring_key\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'_'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpanel_key\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mNameError\u001b[0m: name 'classifier' is not defined" - ] + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 77, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" } ], "source": [ "\n", - "epsilon = 0\n", + "epsilon = -2\n", "matrix_expand_bounds = [[-epsilon, -epsilon],[+epsilon, -epsilon], [+epsilon, +epsilon], [-epsilon, +epsilon]]\n", "\n", - "for string_key in ['1', '20']:# L_strings_coord.keys():\n", + "for string_key in ['10']:# L_strings_coord.keys():\n", " print(string_key)\n", " string = L_strings_coord[string_key]\n", " for panel_key in string['panels'].keys():\n", @@ -98,7 +152,7 @@ " Im[:,:,0] = cv2.resize(GR_T.raster.data[0,Points[0][1] : Points[2][1], Points[0][0]: Points[2][0]], (img_width, img_height))\n", " Im[:,:,1] = Im[:,:,0].copy()\n", " Im[:,:,2] = Im[:,:,0].copy()\n", - " panel['status'], panel['prob'] = classifier(Im)\n", + " panel['status'], panel['prob'] = classifier(base_model, recognizer_SVM, le, Im)\n", " else:\n", " print('problem with coords panel: ', string_key, '_', panel_key)\n", "\n", @@ -108,11 +162,428 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 83, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 83, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ - "panel" + "epsilon = 100\n", + "matrix_expand_bounds = [[-epsilon, -epsilon],[+epsilon, -epsilon], [+epsilon, +epsilon], [-epsilon, +epsilon]]\n", + "\n", + "\n", + "panel = string['panels']['29']\n", + "Points = Utils.gps2pixel(panel['points'], geot_T) + matrix_expand_bounds\n", + "plt.figure(figsize=(6, 6))\n", + "plt.imshow(GR_T.raster.data[0,Points[0][1] : Points[2][1], Points[0][0]: Points[2][0]],cmap = 'gray')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'id': 'Mesa_010',\n", + " 'points': array([[-70.1137603 , -18.88374416],\n", + " [-70.1137603 , -18.8841109 ],\n", + " [-70.11373707, -18.8841109 ],\n", + " [-70.11373707, -18.88374416]]),\n", + " 'panels': {'1': {'id': 1,\n", + " 'points': array([[-70.1137603 , -18.88374416],\n", + " [-70.1137603 , -18.88375319],\n", + " 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'prob': 0.90917031183596,\n", + " 'T': 0,\n", + " 'severidad': 'default'},\n", + " '37': {'id': 37,\n", + " 'points': array([[-70.1137603 , -18.88407416],\n", + " [-70.1137603 , -18.88408319],\n", + " [-70.11373852, -18.88408319],\n", + " [-70.11373852, -18.88407416]]),\n", + " 'status': '1-Falla',\n", + " 'prob': 0.8419277241921781,\n", + " 'T': 0,\n", + " 'severidad': 'default'},\n", + " '38': {'id': 38,\n", + " 'points': array([[-70.1137603 , -18.88408319],\n", + " [-70.1137603 , -18.88409253],\n", + " [-70.11373852, -18.88409253],\n", + " [-70.11373852, -18.88408319]]),\n", + " 'status': '1-Falla',\n", + " 'prob': 0.8482129635733254,\n", + " 'T': 0,\n", + " 'severidad': 'default'},\n", + " '39': {'id': 39,\n", + " 'points': array([[-70.1137603 , -18.88409253],\n", + " [-70.1137603 , -18.88410156],\n", + " [-70.11373852, -18.88410156],\n", + " [-70.11373852, -18.88409253]]),\n", + " 'status': '1-Falla',\n", + " 'prob': 0.9999999999999699,\n", + " 'T': 0,\n", + " 'severidad': 'default'},\n", + " '40': {'id': 40,\n", + " 'points': array([[-70.1137603 , -18.88410156],\n", + " [-70.1137603 , -18.88411027],\n", + " [-70.11373852, -18.88411027],\n", + " [-70.11373852, -18.88410156]]),\n", + " 'status': '1-Falla',\n", + " 'prob': 0.999999999978633,\n", + " 'T': 0,\n", + " 'severidad': 'default'}},\n", + " 'status': 'default',\n", + " 'T': 0}" + ] + }, + "execution_count": 79, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "string = L_strings_coord['10']\n", + "string" ] }, { @@ -150,6 +621,9 @@ " pmt.extendeddata.newdata(name= 'Mesa', value= string['id'])\n", " \n", "kml.save(path_kml_panel)\n", + "## Save List in coordinate latitud and longitude ###\n", + "with open(path_new_dict, 'wb') as handle:\n", + " pickle.dump(L_strings_coord, handle, protocol=pickle.HIGHEST_PROTOCOL)\n", "print('Listo')" ] }, @@ -169,22 +643,22 @@ }, { "cell_type": "code", - "execution_count": 95, + "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 95, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", + "image/png": 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WEyndk6XslNL2Q9bVqRXb1uxhRByRdKT7/nXbByVdXuXoAIB1S/0asH21pA9IerxrutP2z23fZ3tb5b4BAFYxcgC3/S5JP5D02Yj4jaRvSXqvpOu19A79q4V/t8v2ftv7K/QXANAZKYDbXtBS8P5uRPxQkiLiaEScjoh3JH1b0o19/zYi9kTEjojYUavTAIDRslAs6V5JByPia8vaty/b7BOSnqnfPQBAiddapcL2H0j6V0lPSzozdfwFSXdo6eOTkPSSpM90E56r7eu/Jf2y+/EiSa+st+ONOVfGeq6MU2Ks82pWx/o7EXHxysY1A/hQbO8/Vz5WOVfGeq6MU2Ks86q1sfIkJgA0igAOAI2aZgDfM8VjT9q5MtZzZZwSY51XTY11ap+BAwDGw0coANCoiQdw27fY/oXtF2zvnvTxh9SVFDhm+5llbRfa3mf7+e7rXJQcWKVK5VyN1/Z5tv/d9n904/ybrn2uxrmc7Y22f2b7H7uf53Kstl+y/XRXTXV/19bUWCcawG1vlPS3kv5Y0vsk3WH7fZPsw8Dul3TLirbdkh6NiGslPdr9PA/OVKn8XUkflPQX3Ws5b+M9IenDEfF+LT33cIvtD2r+xrncXZIOLvt5nsf6oYi4flnqYFNjnfQ78BslvRARL0bESUnfl3TrhPswmIh4TNKrK5pvlbS3+36vpNsm2qmBRMSRiHiy+/51Ld3wl2vOxhtL3uh+XOj+hOZsnGfYvkLSn0j6u2XNcznWgqbGOukAfrmkXy37+ZDmvzTtpWeeUO2+XjLl/lS3okrl3I23+0jhKUnHJO2LiLkcZ+cbkv5K//fUtTS/Yw1JP7Z9wPaurq2psQ5XsbxfX2V20mAatrJKZbb4fgsi4rSk623/lqSHbP/etPs0BNsfl3QsIg7Yvnna/ZmAmyLisO1LJO2z/dy0O5Q16XfghyRdueznKyQdnnAfJu3omcJf3ddjU+5PNX1VKjXH442I/5H0Uy3Nc8zjOG+S9Ke2X9LSx5sftv33ms+xKiIOd1+PSXpISx/xNjXWSQfwJyRda/s9tjdL+qSkRybch0l7RNLO7vudkh6eYl+qKVWp1JyN1/bF3Ttv2T5f0h9Kek5zNk5Jioi/jogrIuJqLd2b/xIRf6Y5HKvtrd0SkbK9VdJHtVRRtamxTvxBnm7x429I2ijpvoj48kQ7MCDbD0i6WUsVzY5KulvSP0h6UNJVkl6WdHtErJzobM4qVSof1xyN1/bva2kya6OW3vA8GBFfsv3bmqNxrtR9hPKXEfHxeRyr7Wu09K5bWvoo+XsR8eXWxsqTmADQKJ7EBIBGEcABoFEEcABoFAEcABpFAAeARhHAAaBRBHAAaBQBHAAa9b+kj3Yl7ygAuAAAAABJRU5ErkJggg==\n", "text/plain": [ "
" ] @@ -196,7 +670,7 @@ } ], "source": [ - "plt.imshow(Im.astype(int))" + "plt.imshow(GR_T.raster.data[0,Points[0][1] : Points[2][1], Points[0][0]: Points[2][0]].astype(int), cmap = 'gray')" ] }, { diff --git a/GPS_Panel/Enumeration_KML.ipynb b/GPS_Panel/Enumeration_KML.ipynb index 62a4eaa..5b49e88 100644 --- a/GPS_Panel/Enumeration_KML.ipynb +++ b/GPS_Panel/Enumeration_KML.ipynb @@ -2,9 +2,21 @@ "cells": [ { "cell_type": "code", - "execution_count": 6, + "execution_count": 1, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/dlsaavedra/anaconda3/envs/new/lib/python3.7/site-packages/pysal/explore/segregation/network/network.py:16: UserWarning: You need pandana and urbanaccess to work with segregation's network module\n", + "You can install them with `pip install urbanaccess pandana` or `conda install -c udst pandana urbanaccess`\n", + " \"You need pandana and urbanaccess to work with segregation's network module\\n\"\n", + "/home/dlsaavedra/anaconda3/envs/new/lib/python3.7/site-packages/pysal/model/spvcm/abstracts.py:10: UserWarning: The `dill` module is required to use the sqlite backend fully.\n", + " from .sqlite import head_to_sql, start_sql\n" + ] + } + ], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", @@ -67,16 +79,16 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "#path_T = \"Thermo.tif\"\n", "#path_String = \"Thermo_String_PV01.tif\"\n", "\n", - "path_T = \"Pampa/THERMAL_06.tif\"\n", - "path_String = \"Pampa/BP-B-5.tif\"\n", - "ZonaPV = 'BP-B-5'\n", + "path_T = \"Pampa/THERMAL_01.tif\"\n", + "path_String = \"Pampa/BP-A-1.tif\"\n", + "ZonaPV = 'BP-A-1'\n", "path_kml_panel = 'Pampa/KML/Paneles_' + ZonaPV +'.kml'\n", "path_kml_mesa ='Pampa/KML/Mesa_' + ZonaPV +'.kml'\n", "path_dict = 'Pampa/KML/Mesa_' + ZonaPV + '.pickle'\n", @@ -101,7 +113,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -168,7 +180,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -215,7 +227,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -229,7 +241,7 @@ }, { "data": { - "image/png": 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\n", 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\n", 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\n", + "image/png": 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\n", 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" ] @@ -321,7 +333,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 6, "metadata": {}, "outputs": [ { diff --git a/GPS_Panel/Pampa/KML/Paneles_BP-A-1.kml b/GPS_Panel/Pampa/KML/Paneles_BP-A-1.kml index 3dad80c..d2c49e4 100644 --- a/GPS_Panel/Pampa/KML/Paneles_BP-A-1.kml +++ b/GPS_Panel/Pampa/KML/Paneles_BP-A-1.kml @@ -4578,7 +4578,7 @@ - -70.1141059298812,-18.884079764077597,0.0 -70.1141059298812,-18.884089103653597,0.0 -70.1140855987564,-18.884089103653597,0.0 -70.1140855987564,-18.884079764077597,0.0 + -70.1141066559928,-18.884079764077597,0.0 -70.1141066559928,-18.884089103653597,0.0 -70.1140855987564,-18.884089103653597,0.0 -70.1140855987564,-18.884079764077597,0.0 @@ -4607,7 +4607,7 @@ - -70.1141059298812,-18.884089103653597,0.0 -70.1141059298812,-18.8840981319104,0.0 -70.1140855987564,-18.8840981319104,0.0 -70.1140855987564,-18.884089103653597,0.0 + -70.1141066559928,-18.884089103653597,0.0 -70.1141066559928,-18.8840981319104,0.0 -70.1140855987564,-18.8840981319104,0.0 -70.1140855987564,-18.884089103653597,0.0 @@ -4636,7 +4636,7 @@ - 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