Files
Photovoltaic_Fault_Detector/GPS_Panel/Enumeration_KML.ipynb
Daniel Saavedra 0688f50313 Classifier SVM
2020-11-25 16:03:59 -03:00

444 lines
164 KiB
Plaintext

{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"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",
"import pandas as pd\n",
"from matplotlib import path\n",
"import matplotlib.patches as patches\n",
"from skimage import draw\n",
"import scipy.ndimage as ndimage\n",
"import Utils\n",
"import georasters as gr\n",
"import cv2\n",
"from Utils import doubleMADsfromMedian\n",
"from skimage.transform import resize\n",
"import pickle\n",
"import simplekml\n",
"\n",
"def order_rect(List_P_strings, top_bottom = False):\n",
" #If top_bottom is false then sort right left\n",
" if not top_bottom:\n",
" List_P_strings = [[(List_P[0][1],List_P[0][0]),\n",
" (List_P[1][1],List_P[1][0]),\n",
" (List_P[2][1],List_P[2][0]),\n",
" (List_P[3][1],List_P[3][0])] for List_P in List_P_strings]\n",
" \n",
" bboxes=sorted(List_P_strings, key=lambda x: x[0][0])\n",
" bboxes = [(P[0][0], P[0][1], P[2][0]-P[0][0], P[2][1]-P[0][1]) for P in bboxes]\n",
" df=pd.DataFrame(bboxes, columns=['x','y','w', 'h'], dtype=int)\n",
" \n",
"\n",
" df[\"x2\"] = df[\"x\"]+df[\"w\"] # adding column for x on the right side\n",
" df = df.sort_values([\"x\",\"y\", \"x2\"]) # sorting\n",
"\n",
"\n",
" for i in range(2): # change rows between each other by their coordinates several times \n",
" # to sort them completely \n",
" for ind in range(len(df)-1):\n",
" # print(ind, df.iloc[ind][4] > df.iloc[ind+1][0])\n",
" if df.iloc[ind][4] > df.iloc[ind+1][0] and df.iloc[ind][1]> df.iloc[ind+1][1]:\n",
" df.iloc[ind], df.iloc[ind+1] = df.iloc[ind+1].copy(), df.iloc[ind].copy()\n",
" \n",
" L_F = [np.array([[box[0], box[1]], \n",
" [box[0] + box[2], box[1]], \n",
" [box[0] + box[2], box[1] + box[3]], \n",
" [box[0], box[1] + box[3]]]) for box in df.values.tolist()]\n",
" \n",
" if not top_bottom:\n",
" L_F = [[(List_P[0][1],List_P[0][0]),\n",
" (List_P[1][1],List_P[1][0]),\n",
" (List_P[2][1],List_P[2][0]),\n",
" (List_P[3][1],List_P[3][0])] for List_P in L_F]\n",
" return np.array(L_F) "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Parameters"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"#path_T = \"Thermo.tif\"\n",
"#path_String = \"Thermo_String_PV01.tif\"\n",
"\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",
"\n",
"panel_size = (29 , 50)\n",
"#panel_size = (37 , 17) #weight, height size#\n",
"#panel_size = (20 , 35)\n",
"overlap = 0\n",
"order_top_bottom = False # order top bottom or right left\n",
"\n",
"\n",
"GR_String = gr.from_file(path_String)\n",
"GR_T = gr.from_file(path_T)\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Enumerate Tables and Panels"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"\n",
"label_im, nb_labels = ndimage.label(GR_String.raster.data > 0)#, structure= np.ones((2,2))) ## Label each connect region\n",
"\n",
" \n",
"L_strings = {} # {name: '001', points:(top-left, top-right, bottom-right, bottom-left) (x,y), 'panels' : }\n",
"\n",
"epsilon = 0\n",
"\n",
"List_P_strings = []\n",
"for i in range(1, nb_labels + 1):\n",
" \n",
" countours, hierarchy = cv2.findContours(np.uint8(label_im == i), cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)\n",
" x_max = np.max(countours[0][:, 0, 0]) + epsilon\n",
" y_max = np.max(countours[0][:, 0, 1]) + epsilon\n",
" x_min = np.min(countours[0][:, 0, 0]) - epsilon\n",
" y_min = np.min(countours[0][:, 0, 1]) - epsilon\n",
" \n",
" List_P_strings.append([(x_min, y_min), (x_max, y_min), (x_max, y_max), (x_min, y_max)])\n",
"\n",
" \n",
"for i,List_P in enumerate(order_rect(List_P_strings, top_bottom=order_top_bottom), 1):\n",
" \n",
" L_strings[str(i)] = {'id': i, \n",
" 'points' : List_P, \n",
" 'panels' : {}, \n",
" 'status': 'default', \n",
" 'T':0}\n",
"\n",
"for string_key in L_strings.keys():\n",
" \n",
" string = L_strings[string_key]\n",
" string['panels'] = {}\n",
" Points = Utils.order_points_rect(string['points']).astype(np.int)\n",
" \n",
" ## If strings is vertical or horizontal\n",
" if (Points[2][0] - Points[0][0]) > (Points[2][1] - Points[0][1]):\n",
" split_Weight, split_Height = np.int((Points[2][0] - Points[0][0]) / panel_size[0]) , np.int((Points[2][1] - Points[0][1]) / panel_size[1])\n",
" else:\n",
" split_Weight, split_Height = np.int((Points[2][0] - Points[0][0]) / panel_size[1]) , np.int((Points[2][1] - Points[0][1]) / panel_size[0])\n",
"\n",
" split_Weight = max(split_Weight, 1)\n",
" split_Height = max(split_Height, 1)\n",
" M, maxWidth, maxHeight = Utils.perspectiveTransform(Points)\n",
" sub_division = Utils.subdivision_rect([split_Weight, split_Height], maxWidth, maxHeight, overlap)\n",
" sub_division_origin = np.uint(cv2.perspectiveTransform(np.array(sub_division), np.linalg.inv(M)))\n",
" \n",
" for i,panels_coord in enumerate(order_rect(sub_division_origin, order_top_bottom),1):\n",
" string['panels'][str(i)] = {'id' : i,\n",
" 'points' : panels_coord,\n",
" 'status': 'default', \n",
" 'T' : 0,\n",
" 'severidad': 'default'} \n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Save dictionary with gps data"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"## Save List in coordinate latitud and longitude ###\n",
"geot = GR_String.geot\n",
"L_strings_coord = {}\n",
" \n",
"for string_key in L_strings.keys():\n",
" \n",
" string = L_strings[string_key]\n",
" points = string['points']\n",
" string_coord = {'id': 'Mesa_' + str(string['id']).zfill(3), \n",
" 'points': Utils.pixel2gps(points, geot), \n",
" 'panels': {}, \n",
" 'status': string['status'], \n",
" 'T' : string['T']}\n",
" \n",
" for panel_key in string['panels'].keys():\n",
" \n",
" panel = string['panels'][panel_key]\n",
" points = panel['points']\n",
" panel_coord = {'id': panel['id'],\n",
" 'points': Utils.pixel2gps(points, geot), \n",
" 'status': panel['status'], \n",
" 'prob': 0.0, \n",
" 'T': 0, \n",
" 'severidad': 'default'}\n",
" \n",
" string_coord['panels'][panel_key] = panel_coord\n",
" \n",
" L_strings_coord[string_key] = string_coord\n",
"\n",
"## Save List in coordinate latitud and longitude ###\n",
"with open(path_dict, 'wb') as handle:\n",
" pickle.dump(L_strings_coord, handle, protocol=pickle.HIGHEST_PROTOCOL)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Display image"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Figure size 432x288 with 0 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 1152x1152 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 1152x1152 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"## Load List in coordinate latitud and longitude to pixels ###\n",
"string = L_strings_coord['22']\n",
"panels = string['panels']\n",
"\n",
"\n",
"epsilon = 0\n",
"matrix_expand_bounds = [[-epsilon, -epsilon],[+epsilon, -epsilon], [+epsilon, +epsilon], [-epsilon, +epsilon]]\n",
"\n",
"#geot = GR_RGB.geot\n",
"geot = GR_T.geot\n",
"geot_S = GR_String.geot\n",
"\n",
"\n",
"Points = Utils.gps2pixel(string['points'], geot) + matrix_expand_bounds\n",
"\n",
"\n",
"\n",
"plt.figure(0)\n",
"plt.figure(figsize=(16, 16))\n",
"plt.imshow(GR_String.raster.data)\n",
"plt.title('Origin Image')\n",
"ax = plt.gca()\n",
"\n",
"for Poly_key in L_strings_coord.keys():\n",
" \n",
" Poly = L_strings_coord[Poly_key]\n",
" poly = patches.Polygon(Utils.gps2pixel(Poly['points'],geot_S),\n",
" linewidth=2,\n",
" edgecolor='red',\n",
" alpha=0.5,\n",
" fill = True)\n",
" plt.text(np.mean([x[0] for x in Utils.gps2pixel(Poly['points'],geot_S)]), \n",
" np.mean([y[1] for y in Utils.gps2pixel(Poly['points'],geot_S)]) , \n",
" str(Poly['id']).split('_')[-1], bbox=dict(facecolor='red', alpha=0.8), fontsize=10)\n",
"\n",
" ax.add_patch(poly)\n",
" \n",
"plt.figure(1)\n",
"plt.figure(figsize=(16, 16))\n",
"plt.imshow(GR_T.raster[0,Points[0][1] : Points[2][1], Points[0][0]: Points[2][0]])\n",
"#plt.imshow(GR_T.raster[Points[0][1] : Points[2][1], Points[0][0]: Points[2][0]])\n",
"#plt.imshow((GR_RGB.raster[:3,:,:]).transpose((1, 2, 0))[Points[0][1] : Points[2][1], Points[0][0]: Points[2][0],:])\n",
"\n",
"plt.title('Subdive Origin Image')\n",
"ax = plt.gca()\n",
"\n",
"for Poly_key in panels.keys():\n",
" \n",
" Poly = panels[Poly_key]\n",
" poly = patches.Polygon(Utils.gps2pixel(Poly['points'],geot) - (Points[0][0], Points[0][1]),\n",
" linewidth=2,\n",
" edgecolor='red',\n",
" fill = False)\n",
" plt.text(np.mean([x[0] for x in Utils.gps2pixel(Poly['points'],geot) - (Points[0][0], Points[0][1])]), np.mean([y[1] for y in Utils.gps2pixel(Poly['points'],geot) - (Points[0][0], Points[0][1])]) , \n",
" str(Poly['id']), bbox=dict(facecolor='red', alpha=0.0), fontsize=8)\n",
"\n",
" ax.add_patch(poly)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Save KML"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Listo\n"
]
}
],
"source": [
"\n",
"## Load List in coordinate latitud and longitude ###\n",
"with open(path_dict, \"rb\") as fp:\n",
" L_strings_coord = pickle.load(fp)\n",
"\n",
"kml=simplekml.Kml()\n",
"\n",
"\n",
"for string_key in L_strings_coord.keys():\n",
" \n",
" string = L_strings_coord[string_key]\n",
" points = string['points']\n",
" \n",
" pmt = kml.newpolygon(name= string['id'], outerboundaryis = points)\n",
" pmt.extendeddata.newdata(name='Mesa', value=string['id'])\n",
"\n",
"kml.save(path_kml_mesa)\n",
"\n",
"\n",
"kml=simplekml.Kml()\n",
"\n",
"\n",
"for string_key in L_strings_coord.keys():\n",
" \n",
" string = L_strings_coord[string_key]\n",
" points = string['points']\n",
" \n",
" for panel_key in string['panels'].keys():\n",
" panel = string['panels'][panel_key]\n",
" points = panel['points']\n",
" \n",
" pmt = kml.newpolygon(outerboundaryis = points)\n",
" pmt.extendeddata.newdata(name= 'Id integer', value= str(string_key).zfill(3) + '_' + str(panel['id']).zfill(3))\n",
" pmt.extendeddata.newdata(name= 'Id panel', value= str(panel['id']).zfill(3))\n",
" pmt.extendeddata.newdata(name='Zona PV', value= ZonaPV)\n",
" pmt.extendeddata.newdata(name='Cód. Fall', value= 0)\n",
" pmt.extendeddata.newdata(name= 'Tipo falla', value= panel['status'])\n",
" pmt.extendeddata.newdata(name= 'Mesa', value= string['id'])\n",
" \n",
"kml.save(path_kml_panel)\n",
"print('Listo')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.7"
}
},
"nbformat": 4,
"nbformat_minor": 4
}