the pretrained VGG-16 should accept the input image in range [0, 255] minus the mean value of RGB channels [123.6800, 116.7790, 103.9390]. if give the input image in range [-1,1], do that mean give an input image around the mean value ? so the pretrained network can not well extract the feature difference of source image and target image?
the pretrained VGG-16 should accept the input image in range [0, 255] minus the mean value of RGB channels [123.6800, 116.7790, 103.9390]. if give the input image in range [-1,1], do that mean give an input image around the mean value ? so the pretrained network can not well extract the feature difference of source image and target image?