Ran PENet pre-trained model and results do not match Kitti benchmark depth completion page

[manifischer]

Thank you very much for a very interesting paper. I have run the PENet pre-trained model you've provided in evaluation mode on the cropped image. in the results the code provided (val.csv under results) I got RMSE=757.197 MAE=209.001, compared to RMSE=730.08 MAE=210.55 as it appears in the Kitti benchmark page. IIs there a different PENet model that matches the submitted results? or there is something in the parameters that I put wrong (I kept the parameters as is in this repository). Thanks a lot, Mani

[JUGGHM]

Thanks for your interest! It's the same model as it is benchmarked on test set while validated on val set. You could also refer to this issue.

[manifischer]

Thanks a lot, missed the issue you referred to

[kingLCH]

how to use penet pre-trained model,why it name is end with .tar it seems cant be loaded by "checkpoint = torch.load(args.evaluate, map_location=device)"

[JUGGHM]

how to use penet pre-trained model,why it name is end with .tar it seems cant be loaded by "checkpoint = torch.load(args.evaluate, map_location=device)"

Thanks for your interest! I am afraid taht it is an inherited bug and you can fix it yourself.