I have trained a multi-class segmentation model on some data and my data was in the form (4, 320, 320)/(4, 512, 512) which denotes 4 classes with each (1, 512, 512) being a binary segmentation of the one class which is how I’m pretty sure it works, if not please correct me. I got my predictions back and everything looks like its working(albeit the predictions aren’t too good which doesn’t matter to me right now) and I my predictions are also in the form of (4, 512, 512) and I can extract each binary mask with slicing eg.
img[1, :, :] and I’m wondering how I can combine all of these masks to make a final mask for the images.
Here is an example of the predictions
and there are 4 of these all in seperate classes that I would like to combine into one image that looks something like this:
Is there a way to achieve this, if so what can I do?