| from datasets import load_dataset | |
| import decord | |
| # Load the dataset in streaming mode | |
| dataset = load_dataset("tcm03/EnTube", split="train", streaming=True) | |
| # Initialize counter and specify the max videos to process | |
| max_videos = 5 | |
| video_count = 0 | |
| # Stream and process videos | |
| for item in dataset: | |
| video_reader = item['video'] # Decord VideoReader object | |
| label = item['label'] # Label for the video | |
| # Extract frames from the video | |
| frames = [] | |
| for frame in video_reader: | |
| frames.append(frame.asnumpy()) # Convert Decord frames to NumPy arrays | |
| print(f"Processed video {video_count} with label {label}, extracted {len(frames)} frames") | |
| video_count += 1 | |
| if video_count >= max_videos: | |
| break | |