Comments (3)
Hi, @SPengLiang, thanks for your interest in our work! I use the FVD code provided here to evaluate our models. You need to generate a number of fake videos first and then compare their distribution with that of real videos. The subject FVD and class FVD are just simple variants of the FVD score. You may check our paper for more details.
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@nihaomiao Thanks a lot!
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@nihaomiao Using this function (fvd = compute_our_fvd(model.real_out_vid.data.cpu().numpy().copy(), real_vids.data.cpu().numpy().copy())), I got an error:
"RuntimeError: Given groups=1, weight of size [64, 3, 7, 7, 7], expected input[10, 128, 9, 45, 133] to have 3 channels, but got 128 channels instead ".
The shapes of input videos are (10, 3, 40, 128, 128) and (10, 3, 40, 128, 128). Do I miss something?
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Related Issues (20)
- about memory HOT 5
- ModuleNotFoundError: No module named 'importlib.metadata' HOT 1
- Some doubts about the paper and code HOT 6
- RuntimeError: PytorchStreamReader failed reading zip archive: failed finding central directory
- ModuleNotFoundError: No module named 'huggingface_hub'
- torch.hub.load error HOT 2
- url of dataset and model HOT 1
- result in new people is bad HOT 1
- how to get the Depth、Interial、Skeleton when trianing the new person ? (MHAD) HOT 1
- demo_mug http error 403 (torch.hub.load) HOT 2
- doubts about the model name in the code HOT 1
- Why is the grid generated well in the demo file, but the grid generated in the train_video_flow_diffusion_mhad_multiGPU file is distorted? HOT 2
- FVD calculation HOT 2
- How do I run your code ? HOT 2
- How to obtain supplementary materials for the paper? HOT 1
- What do the "deformed" and "prediction" mean? HOT 2
- What do fake and real graphs refer to? HOT 1
- Inquiries about face occlusion map HOT 2
- demo_mug.py RuntimeError: CUDA out of memory. Tried to allocate 120.00 MiB V100 32G HOT 1
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