Comments (2)
Hello,
Indeed, you are right, the loss I put in my code was a previous version, I will update it shortly. Thank you for your notice !
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I solved this issue in commit 18672e1, minus signs may be written with torch.abs but they are the same in the end as terms are non positive.
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Related Issues (15)
- Normalization deph image
- [BUG] Evaluation bug in eval.py compute_depth_metrics() HOT 2
- [Question] Could you explain the normalization scheme you have used for PBRS and NYUV2 ? HOT 2
- What's the --scale option means when run the demo.py? HOT 3
- How to get the real absolute depth from your model ? HOT 2
- Dear author, is it necessary to have a pretraining model of PBRS for training? HOT 3
- Normal ground-truth for NYU dataset? HOT 1
- why can't predict occluding contours? HOT 7
- About your loss function and finetuning HOT 3
- Do you have a code with insertion Stanford Bunny into the scene? HOT 3
- Optimizer and Weight decay HOT 2
- Strange Output Artefacts HOT 2
- [Question] Do you have any result or plan on KITTI HOT 1
- Question: Annotation tool HOT 3
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