Hi, I am new to pytorch and image segmentation(UNET). I am trying to train the UNet to generate binary masks(Grayscale) on retinal images(RGB) + masks (RGB). I am converting both the masks to grayscale for training. Please help me with the following questions:
- The Mean IOU and Pixel Acc values are not getting computed. I am not entirely sure why? or if the function calls are active.
- How to implement pixel wise cross entropy loss? which loss function works efficient in this case?
- My training and validation loss values are very poor. Should I do anything different here?
- How should I save the model and use it for the testing loop.
Thank you for your help.
Please find my code below.