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