how to guarantee every pixels of training images are being used?

sanghyun-son / EDSR-PyTorch

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

MIT License

2.42k stars 668 forks source link

how to guarantee every pixels of training images are being used? #267

Open b93901190 opened 4 years ago

b93901190 commented 4 years ago

As my understanding for training procedure, RGB input patches are randomly cropped from training images. Then, it seems that not every pixels in training images are being processed in one epoch. Is it for some reason?

nahidq commented 3 years ago

This is also my question, is it possible we miss some pixels, or how we can make sure that overlapping has effects on results or not?