Create README.md

README.md

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+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)
+```