pip install -r requirements.txt
Generate dataset (run only once time or clean data folder before) :
It will split scenes and generate all data you need for your neural network. You can specify the number of sub images you want in the script by modifying _NUMBER_SUBIMAGES variables.
There are 3 kinds of Neural Networks :
Note that the image input size need to change in you used specific size for your croped images.
After your built your neural network in classification_cnn_keras.py, you just have to run it :
classification_cnn_keras_svd.py --directory xxxx --output xxxxx --batch_size xx --epochs xx --img xx (or --image_width xx --img_height xx)
A config file in json is available and keeps in memory all image sizes available.
This project contains modules :
All these modules will be enhanced during development of the project
This git project uses git-flow implementation. You are free to contribute to it.