Comments (4)
It seems not a bug but causing by the poor performance by Atlas, is the camera moving very fast?
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yea, that’s our limitation, u can try some video with less camera motion or cut the video into shorter clips to avoid this kind of failure case
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Related Issues (20)
- Does every video need to be trained before editing? HOT 4
- ERROR: Could not find a version that satisfies the requirement triton==2.0.0 (from versions: none) ERROR: No matching distribution found for triton==2.0.0 HOT 1
- prompt template not found HOT 1
- `dpt_hybrid-midas-501f0c75.pt` was in the wrong position in readme.md HOT 2
- Lot of issues making this work. Now: EOFError: Ran out of input HOT 1
- ERROR: Could not find a version that satisfies the requirement nvidia-nccl-cu11==2.14.3 (from versions: 0.0.1.dev5) ERROR: No matching distribution found for nvidia-nccl-cu11==2.14.3
- how to click the render botton without a GUI? HOT 3
- PytorchStreamReader failed reading zip archive: failed finding central directory HOT 3
- Do we need foreground target mask to obtain key frames? HOT 1
- I woder how to train the model? HOT 3
- How to extract video frames? HOT 1
- TypeError: Cannot interpret 'torch.float32' as a data type
- HTTPx Timeout issue
- Errors in the CPU only version and HuggingFace demo
- Poorly Written requirements.txt HOT 3
- why does every video need to train a new model? HOT 1
- For custom dataset HOT 1
- RuntimeError: The size of tensor a (998) must match the size of tensor b (992) at non-singleton dimension 3 HOT 2
- AttributeError: 'torch.dtype' object has no attribute 'char' HOT 5
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