Comments (4)
rese1f
commented on May 27, 2024
You can train on your own video following NLA
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coollofty
commented on May 27, 2024
Because my current graphics card cannot working, but I like this project very much, so I want to know a general situation, if this time is acceptable to me, then I plan to upgrade my graphics card. Can you give me a rough estimate? Thanks very much!
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rese1f
commented on May 27, 2024
I am glad you like this project. Here is a approximated cost
Training and evaluation requires ∼5GB GPU memory with videos consisting of 70 frames with resolution 768 × 432 and the checkpoint size is 14.3MB. Training our model takes about 10 hours per video, and reconstructing every video takes roughly 7 minutes on an NVIDIA Quadro RTX 6000 GPU.
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coollofty
commented on May 27, 2024
Okay, got it. Thank you
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Related Issues (18)
- Thanks for sharing, Would it run on Colab? HOT 8
- 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
- The background is always black HOT 4
- 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
- What is the minimum VRAM requirement? HOT 4
- 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
- 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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