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After setting up the environment, I used NYU dataset for training, but the training results were very strange. The loss function converged slowly, rmse kept increasing, and delta kept decreasing.

Hello, Why do you divide by `255.0` for the NYU data values? e.g. https://github.com/SysCV/P3Depth/blob/main/src/data/NYU_dataset.py#L82 The BTS loader does not do this https://github.com/cleinc/bts/blob/master/pytorch/bts_dataloader.py#L163C1-L166C52 Which make sense since the website says image...

FileNotFoundError: [Errno 2] No such file or directory: '/dataset/nyu_depth_v2/official_splits/NYU_Depth_v2/data/nyu2_train.csv'

The results I get with kitti are all red, have you ever encountered this situation?

When I run the test, the mode loading shape does not match Traceback (most recent call last): File "trainer.py", line 228, in main() File "trainer.py", line 149, in main model...

In the function get_coords(), what is the meaning of the parameter fix_axis when it is set False?

Hi, thanks for your great work. I'm just wondering when will you release the pre-trained models? Bests

Do you have any estimation on when the code and trained model are going to be released?