Get seperated photos of each class either by running utils\seperate_class.py or downloading it from the shared drive.
Add the bash script, yaml file and the approrpaite image file for the class into sockeye so where the paths are indicated in yaml/bash and submit a job to run YOLO NOTE: before you run you can run the python lines in your command line to make sure there are no compiler error before you submit your job to sockeye
Once you have the output images of yolo boxes and their labels run the utils\yolo_to_mask.py and subsequently the utils\generate_masked_photos.py
Now that you have images of a specific chromosome with a binary form of only including the masked part and whiting out the surroundings input it into the CVAE model for training/testing
Analyzing the latent space from cvae