In this project we suggest a method for weakly supervised segmentation based on scribbles and combine it with active learning methods.
- Start off by updating the classes list, names and dictionary in the constants.py file.
- Either generate a pool directory from a CT volume using generate_demo_set.py or prepare a directory of images. Each image in the pool folder should have an 'image' prefix
- Set your environment to run two processes in parallel
- Run the gui.py
gui.py file