Update README.md
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README.md
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@@ -44,7 +44,6 @@ model = AutoModelForVideoClassification.from_pretrained(hf_repo).to(device)
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processor = AutoVideoProcessor.from_pretrained(hf_repo)
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# To load a video, sample the number of frames according to the model.
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# For this model, we use 64.
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video_url = "https://huggingface.co/datasets/nateraw/kinetics-mini/resolve/main/val/bowling/-WH-lxmGJVY_000005_000015.mp4"
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vr = VideoDecoder(video_url)
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frame_idx = np.arange(0, model.config.frames_per_clip, 8) # you can define more complex sampling strategy
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processor = AutoVideoProcessor.from_pretrained(hf_repo)
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# To load a video, sample the number of frames according to the model.
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video_url = "https://huggingface.co/datasets/nateraw/kinetics-mini/resolve/main/val/bowling/-WH-lxmGJVY_000005_000015.mp4"
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vr = VideoDecoder(video_url)
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frame_idx = np.arange(0, model.config.frames_per_clip, 8) # you can define more complex sampling strategy
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