Comments (2)
miangoleh
commented on August 16, 2024
The 3d visualizations you provided seem to be surface meshes. I am not sure how those are generated from our depth and if that process can cause the banding artifacts.
Our merge model is trained with torch.float32. The training script is provided and instructions are located here. Feel free to take a look.
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miangoleh
commented on August 16, 2024
Closed due to inactivity
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Related Issues (20)
- GPU thresh hold for nvidia A100 ?? HOT 2
- RuntimeError: The size of tensor a (75) must match the size of tensor b (76) at non-singleton dimension 3 HOT 4
- Code section2 error HOT 5
- Temporal inconsistency on image sequences HOT 4
- Can we use this for video input? HOT 1
- Issue max res 720 * 1280 ? HOT 8
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- License of output images HOT 2
- Feature Request: Run on CPU or MPS for Apple M1/M2 HOT 4
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- What's the parameter to be set in demo.py for "(NEW!) Now you can set the maximum resolution of the results to reduce runtime" HOT 1
- Why does NAN appear in the model inference process HOT 2
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- How to align estimated depth with GT depth? HOT 1
- Colab error: FileNotFoundError: [Errno 2] No such file or directory: 'res101.pth' HOT 1
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