Comments (6)
Dear chenynCV,
it appears that you use the labelled dataset only and do no augmentations. We found that sampling the 400GB of the raw dataset plus augmentations was crtitical to the training. Check the paper for details.
Best,
Chris
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Year, I have used the labelled dataset only indeeed. I think this process is like fine-tune. It should converge if I use the model right.
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Ah, I see... You are loading our pre-trained model. Maybe the problem is that you do not divide by the number of valid pixels in your L2 loss?
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Thanks for your reply. I will try it later.
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Hi @chenynCV this code that you're using for training does not implement the reverse huber loss correct?
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@chenynCV Hi, i am trying to implement this paper, but the depth maps are blurred, wondering what i am missing,
any suggestions are appreciated ...
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Related Issues (20)
- NYU Depth results link not working
- make3d
- Output upsampling to original resolution HOT 1
- Question about the evaluation method
- Could not find Implementation of its Application for SLAM??
- units for the depth map HOT 1
- Model transfer
- Can this code be used to obtain depth from kitti images? HOT 1
- training code for tensorflow
- Tensorflow model for Make3D? HOT 1
- Output of predict.py HOT 1
- Not getting good result after training HOT 2
- Got a core dumped issue
- How to make ground truth
- How should the input size be filled
- what can the depth esitimation picture do? HOT 4
- Matlab; invalid input syntax HOT 3
- Running predict.py on multiple images
- Why loss the link of .ckpt file ? HOT 1
- CKPT url not working HOT 2
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