ICON is a software for training a neural network for for image segmentation tasks. It supports MLP, CNN, and UNET. The UNET is not fully implemented in this version of the code.

The UI runs on a web browser while the classifiers runs on a server with GPU

cython h5py hdf5 jpeg keras libpng libtiff mahotas matplotlib numpy opencv pandas pil pillow scikit-image scikit-learn scipy sqlite theano tornado

1. Run install.sh once, to setup the system (This should be done on a linux system)

2. Start the web server by running: sh web.sh

3. Start the training thread by running: sh train.sh

4. Start the segmentation thread by running: sh segment.sh

5. Access the UI by launching the following URL on a browser: http://localhost:8888/browse

   Then select a project from the drop down list. Press the start button to activate a project or stop to deactivate. Only one project can be active at a time.