Merge branch 'master' of github.com:RentadroneCL/model-definition into HEAD
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@@ -21,7 +21,9 @@ Enumeration_KML.ipynb
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This algorithm uses the division of the panels to classify them individually if they are with any fault.
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This algorithm uses the division of the panels to classify them individually if they are with any fault.
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## Train Model
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## Train Model
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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.
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In the Classifier folder there is the training of the model
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[Train_Classifier_DEEP_SVC](Classifier/Train_Classifier_DEEP_SVC.ipynb)
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which is based on the union of a deep learning model pre-trained with Imagenet together with an SVM model.
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## Example
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## Example
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@@ -9,5 +9,8 @@ matplotlib==3.2.2
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scipy==1.4.1
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scipy==1.4.1
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ipython==7.19.0
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ipython==7.19.0
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scikit_learn==0.23.2
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scikit_learn==0.23.2
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skimage==0.0
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geopandas
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rtree==0.9.3
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simplekml
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urbanaccess pandana
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cenpy
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