Comments (1)
Thanks for your interest in our work! Maybe you can try separating the video into image frames (e.g. using ffmpeg), and then feed each image frame into the model?
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Related Issues (20)
- RuntimeError with numpy.ndarray HOT 3
- EOFError: Ran out of input HOT 2
- How to run? HOT 2
- local.pth
- Issue Downloading the weights: 'ERROR cannot verify www.dropbox.com's certificate...' HOT 2
- Millions of issues HOT 1
- questions about model weights?
- how to do train the global_classifer on Drn-C-26 ? Can you share the code? HOT 2
- experience with body distortion HOT 1
- how to train the model HOT 1
- Possible to make this setup and running at Google Colab? HOT 12
- > Hi,when I trying to use on colab in step5:
- How can I save the Process picture(like heatmap ) as the demo shows?
- do you guys plan on improveing the model to work with facetune pictures etc(i also found a dataset of facetuned and non facetuned pics if that was a bottleneck) HOT 1
- error: the following arguments are required: --input_path, --model_path An exception has occurred, use %tb to see the full traceback. HOT 1
- I made a google collab of this HOT 8
- Request additional information for paper replication HOT 2
- The link of val dataset is not available. HOT 3
- EOFError: Ran out of input HOT 1
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