Download VideoX-Fun/VBench/competitions/competition_utils.py from YFanwang/Backup: direct link, hf CLI and curl.
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- Download file 1.1 kB
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https://huggingface.co/datasets/YFanwang/Backup/resolve/main/VideoX-Fun/VBench/competitions/competition_utils.py
- Command line
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hf download hf://datasets/YFanwang/Backup/VideoX-Fun/VBench/competitions/competition_utils.py
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curl -L -o competition_utils.py https://huggingface.co/datasets/YFanwang/Backup/resolve/main/VideoX-Fun/VBench/competitions/competition_utils.py
1.1 kB
| import os | |
| import torchvision.io as tvio | |
| import torch | |
| def transform_to_videos(input_path, output_path, frame_rate): | |
| if not os.path.exists(output_path): | |
| os.makedirs(output_path) | |
| for root, dirs, files in os.walk(input_path): | |
| for directory in dirs: | |
| dir_path = os.path.join(root, directory) | |
| image_files = [f for f in os.listdir(dir_path) if f.endswith('.png')] | |
| if not image_files: | |
| continue # Skip if there are no image files in the directory | |
| image_files.sort() | |
| frames = [] | |
| for image_file in image_files: | |
| image_path = os.path.join(dir_path, image_file) | |
| frame = tvio.read_image(image_path) | |
| frames.append(frame) | |
| frames = torch.stack(frames).permute(0, 2, 3, 1) | |
| # Write the frames to video | |
| video_path = os.path.join(output_path, f"{directory}.mp4") | |
| tvio.write_video(video_path, frames, fps=frame_rate) | |
| print(f"Videos are saved in '{output_path}'") | |