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parking_lots/PklotClassifier/README.md

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+# Parking lot classifier
+
+## File descriptions
+
+### ParkingLotClassifier.ipynb
+
+contains the explainations and visualizations of the parking lot classifier
+
+### my_model.h5
+
+the weights for the trained CNN model
+
+### pklotClassifier.py
+
+script to create the model with the trained weights and classifies images into the two classes: Parking lots and none Parking lots
+
+  execution instructions:
+
+  Tensor flow version 2.3.1 
+
+  1. create an empty 'predict' folder
+
+  2. Put a folder of all the images into this 'predict' folder, so the 'predict' folder will contain a folder of images.
+
+  3. Run the pklotClassifier.py and it will create a 'P' and a 'NP' folder, which contains corresponding images. Basically the python file will move the images from the predict directory into their classified folder.