Comments (3)
Yes that's basically how we did it. You need a video of yourself, train a model using this video, then apply this model on the extracted poses of a new video. Both 1 GPU and 8 GPU scripts are provided.
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Yes that's basically how we did it. You need a video of yourself, train a model using this video, then apply this model on the extracted poses of a new video. Both 1 GPU and 8 GPU scripts are provided.
Excellent. A couple of questions.
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To train a model, how long should the video of me be? Also, does it need to be from all angles for better accuracy in results? That is, all parts of my body should be visible to accurately synthesis my body for poses?
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What's the general time required to train a model (if the input video of me which for example is 4 mins long) with a single GPU?
Again, thanks a lot for your time!
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- We used about 3-4 mins, but longer should be better. Yes the more diverse the training set is the better.
- On a single Volta it will probably take about 5-7 days.
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Related Issues (20)
- test only with keypoints
- [QUESTION] Google colab HOT 1
- Where is the "pre-trained segmentation algorithm" in the repo?
- Sequence length: How to limit that to 30, it is increasing automatically as the no. of epochs is increasing
- Using Openpose docker image with vid2vid
- Is there any ways to improve the output quality of the pose model?
- Sometimes ran into RuntimeError: Given groups=1, weight of size [64, 18, 7, 7]... when training. HOT 3
- Inference time - How much FPS is possible?
- Error HOT 1
- How to test “pose-to-body”?
- RuntimeError: CUDA error: throwing an instance of 'c10::Error' HOT 1
- Vid HOT 1
- RuntimeError: Legacy autograd function with non-static forward method is deprecated. HOT 2
- FID evaluation
- Errors when running on CPU without CUDA
- RuntimeError: DataLoader worker (pid(s) 22100) exited unexpectedly HOT 1
- AttributeError: module 'torch._C' has no attribute '_cuda_setDevice' HOT 1
- "Pretrained network G0 has fewer layers..."
- Nivda
- Download gdrive doesn't work - need to manually download model for now HOT 2
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