I am experimenting with object segmentation(round shaped objects that are often occur close together). I have used UNET deep neural network architecture for segmentation and obtained segmentation masks. I saved those in npy format. I am a beginner in this area. I would like to know the ideal steps that I should follow now, if I want to apply watershed on the predicted masks with the aim of separating the objects. I guess I need to convert the binary mask predicted to some form so that I can obtain some kind of markers indicating centroids.
Please help