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--- |
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--- |
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This is the code that was used to generate this video: |
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``` |
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from decord import VideoReader, cpu |
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from huggingface_hub import hf_hub_download |
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import numpy as np |
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np.random.seed(0) |
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def sample_frame_indices(clip_len, frame_sample_rate, seg_len): |
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converted_len = int(clip_len * frame_sample_rate) |
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end_idx = np.random.randint(converted_len, seg_len) |
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start_idx = end_idx - converted_len |
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indices = np.linspace(start_idx, end_idx, num=clip_len) |
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indices = np.clip(indices, start_idx, end_idx - 1).astype(np.int64) |
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return indices |
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file_path = hf_hub_download( |
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repo_id="nielsr/video-demo", filename="eating_spaghetti.mp4", repo_type="dataset" |
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) |
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vr = VideoReader(file_path, num_threads=1, ctx=cpu(0)) |
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# sample 8 frames |
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vr.seek(0) |
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indices = sample_frame_indices(clip_len=8, frame_sample_rate=1, seg_len=len(vr)) |
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buffer = vr.get_batch(indices).asnumpy() |
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# create a list of NumPy arrays |
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video = [buffer[i] for i in range(buffer.shape[0])] |
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video_numpy = np.array(video) |
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with open('spaghetti_video_8_frames.npy', 'wb') as f: |
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np.save(f, video_numpy) |
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``` |