rahat-yasir
rahat-yasir
What is the logic behind cropping the image by 384x384 ? I want to train the network with 3840x2160 px images, what should be the ideal size of my cropped...
Do we need to have different pretrained model for different scale ? like 2x,3x,4x? or, 1 pre-trained model works with other scales ?
After removing SubpixelConv2d, this error is showing, found_var.get_shape())) ValueError: Trying to share variable SRGAN_d/ho/dense/W, but specified shape (4608, 1) and found shape (18432, 1). Do I need to remove anything...
How did you solve the temporal coherence issue ? Deep flow estimation takes hours for videos, did you use deep flow or, normal optical flow ?