温思寒

I modify the network as you do, but there still have problem with Incompatible shapes: [1,3,688,512] vs. [1,3,683,512] in Line 127 (model.py): distortion_penalty = config.lambda_X * tf.losses.mean_squared_error(self.example, self.reconstruction). Do you...

@chenxianghu

I use the dataset of ADE20K which only rescale the width to 512px, is there any change to others parameters except for disabling the sample noise? @chenxianghu

@chenxianghu First, thank you very much for your reply, then I still have a question: 200x200 to 975x975 means the images larger or lower than this will be excluded? And...

I know this, I just puzzles that does this sentence ( 20 210 training and 2000 validation images of a wide variety of sizes (200�200px to 975�975px)) means the 20210...

Yes, so I am puzzled... Okay, I know this, the dataset of training is smaller than 20210. Thank you~

Thank you very much~ I ignored the steps of 2 and 3...