Merge pull request #26 from RentadroneCL/yolo3_tensorflow2
GPS_Panel_update
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GPS_Panel/.gitignore
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GPS_Panel/.gitignore
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@@ -1,2 +1,6 @@
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/Data_set
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/Fully-convolutional-neural-network-FCN-for-semantic-segmentation-Tensorflow-implementation-master
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/Data_set_Segmentation
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/El_Aguila
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/El_Aguila_2020
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GPS_Panel/.ipynb_checkpoints/Classifier_Panel-checkpoint.ipynb
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GPS_Panel/.ipynb_checkpoints/Classifier_Panel-checkpoint.ipynb
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GPS_Panel/.ipynb_checkpoints/Create_PDF-checkpoint.ipynb
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GPS_Panel/.ipynb_checkpoints/Create_PDF-checkpoint.ipynb
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GPS_Panel/.ipynb_checkpoints/Panel_Enumeration-checkpoint.ipynb
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GPS_Panel/.ipynb_checkpoints/Panel_Enumeration-checkpoint.ipynb
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GPS_Panel/Classifier_Panel.ipynb
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GPS_Panel/Classifier_Panel.ipynb
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GPS_Panel/Create_PDF.ipynb
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GPS_Panel/Create_PDF.ipynb
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GPS_Panel/Informe PV01.pdf
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GPS_Panel/Informe PV01.pdf
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GPS_Panel/Panel_Enumeration.ipynb
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GPS_Panel/Panel_Enumeration.ipynb
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GPS_Panel/Prueba.pdf
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GPS_Panel/Prueba.pdf
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@@ -4,7 +4,7 @@ import cv2
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import matplotlib.pyplot as plt
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from scipy import ndimage
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from scipy import signal
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import georasters as gr
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def order_points_rect(pts):
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@@ -301,4 +301,14 @@ def watershed_marked(thresh, min_Area = 100, threshold_median_Area = 3):
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if Logic:
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markers[markers == i] = 0
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return Areas[L_Areas,:], dist_8u,markers
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return Areas[L_Areas,:], dist_8u,markers
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def pixel2gps(points, geot):
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# transform pixel to gps coordinate
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return np.vstack(gr.map_pixel_inv(points[:,1], points[:,0],geot[1],geot[-1], geot[0],geot[3])).T
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def gps2pixel(points_coord, geot):
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# transform gps coordinate to pixel
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return np.flip(np.vstack(gr.map_pixel(points_coord[:,0], points_coord[:,1],geot[1],geot[-1], geot[0],geot[3])).T,1)
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GPS_Panel/rentadrone-logo.png
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GPS_Panel/rentadrone-logo.png
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