goon

Hi, rgb = torch.permute(rgb, (0, 2, 3, 1)) rgb_down = self.pdist(rgb[:, 1:, :, :], rgb[:, :-1, :, :]) rgb_right = self.pdist(rgb[:, :, 1:, :], rgb[:, :, :-1, :]) ... aligned_norm...

I understand this feeling of confusion. But I am not expert in depth estimation(maybe beginner plus), and your expectations of my abilitiy make me a little nervous. I have run...

A1: maybe you should change this color_aug = transforms.ColorJitter.get_params(self.brightness, self.contrast, self.saturation, self.hue). to this color_aug = transforms.ColorJitter(self.brightness, self.contrast, self.saturation, self.hue) A2: sorry, i cannot give you advice, since i am...

i suggest you could set the breakpoint and debug, i cannot find the reason from this information. maybe gradient explode or other reason. i have not met this case before.

ctrl + f search where val_dataset is used, comment it.

A1:This needs you set the breakpoint and debug, or search in the website or ask person who is familiar with this bug.There are many reasons that can cause nan problems,...

the command "tensorboard with --ip = 0.0.0.0" works for me

Thanks for reply, sorry for late. The following is what i understand from the code and your reply. Is scale ambiguity means the opt.min_depth and opt.max_depth (these two values is...

Thanks for reply. I argree with what you said. I think that mae could be better metric to compare the models and rmse in original scale could make people better...

no, pred_depth is generated by _, depth = disp_to_depth(disp, self.opt.min_depth, self.opt.max_depth) maybe you could check this and then continue to check according to the function call relationship.