I am using your CSBdeep for my project to restore images, it works now. I have a question about the data generation for training. What’s the relation among original image size, patch size and number of patches per image? How you decide the patch size and number of patches per image? How they influence traing? Like for Tribolium castaneou (fig.1e in the paper), the original image size is 48773665. Why you pick patch size 166464, and number of patches per image is 1024? What’s relation between them? I am new to deep learning, any information would be very helpful.
Thank you so much for help!