Merge branch 'master' of github.com:RentadroneCL/model-definition into HEAD

GPS_Panel/README.md

@@ -21,7 +21,9 @@ Enumeration_KML.ipynb
 This algorithm uses the division of the panels to classify them individually if they are with any fault.
 
 ## Train Model 
-In the Classifier folder there is the training of the model `` `Train_Classifier_DEEP_SVC.ipynb``` which is based on the union of a deep learning model pre-trained with Imagenet together with an SVM model.
+In the Classifier folder there is the training of the model 
+[Train_Classifier_DEEP_SVC](Classifier/Train_Classifier_DEEP_SVC.ipynb)
+which is based on the union of a deep learning model pre-trained with Imagenet together with an SVM model.
 
 ## Example
 

GPS_Panel/requirements.txt

@@ -9,5 +9,8 @@ matplotlib==3.2.2
 scipy==1.4.1
 ipython==7.19.0
 scikit_learn==0.23.2
-skimage==0.0
-
+geopandas
+rtree==0.9.3
+simplekml
+urbanaccess pandana  
+cenpy