Pytorch warning on lr_scheduler.step() and PIL Image error on Dataloader about wavelet-monodepth HOT 4 CLOSED

Hello,
Thanks for your interest :)
Regarding the two warnings (1 and 3), you can ignore them, as training worked fine without changing those.
Regarding the dataloading error, I am not getting this on my machine, could you please send me your full command line to train waveletmonodepth?
I suspect this has to do with the fact that I do not have the "velodyne_points/data/{:010d}.bin" in my KITTI folder:

A quick fix would be to make check_depth return False. Let me know if it works for you, if so I will update this.

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Hi Michael,

The full command line is:
python train.py --data_path <data_path> --log_dir <log_path> --encoder_type resnet --num_layers 50 --width 640 --height 192 --model_name wavelet_S_HR_DH --frame_ids 0 --use_stereo --split eigen_full --use_wavelets.

Yes, I have "velodyne_points/data/{:010d}.bin" in my folder. When I force 'check_depth()' to return False, the pipeline now works fine. But I don't know whether this setting will influence other parts of the training. Thanks for your reply :D

from wavelet-monodepth.

Hi,

Thanks for the command line!

Yes, the bug comes from there. I removed parts of the original code base that were using ground truth depth for train time depth evaluation. In the original code, this is only used to monitor depth prediction performances while the network is being trained with reprojection loss (+ regularization). In the end, monitoring that loss was enough for me to check that training was working well.

I will update the dataloader accordingly. I'll leave this issue opened until I do so, but you should be good to go with the quick fix we discussed.

Thanks!

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Fixed with commit 052c09e.

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