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from pathlib import Path |
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from pytube import YouTube |
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import numpy as np |
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from decord import VideoReader |
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import imageio |
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def download_youtube_video(url: str): |
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yt = YouTube(url) |
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streams = yt.streams.filter(file_extension="mp4") |
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file_path = streams[0].download() |
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return file_path |
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def sample_frames_from_video_file( |
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file_path: str, num_frames: int = 16, frame_sampling_rate=1 |
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): |
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videoreader = VideoReader(file_path) |
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videoreader.seek(0) |
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start_idx = 0 |
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end_idx = num_frames * frame_sampling_rate - 1 |
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indices = np.linspace(start_idx, end_idx, num=num_frames, dtype=np.int64) |
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frames = videoreader.get_batch(indices).asnumpy() |
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return frames |
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def get_num_total_frames(file_path: str): |
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videoreader = VideoReader(file_path) |
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videoreader.seek(0) |
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return len(videoreader) |
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def convert_frames_to_gif(frames, save_path: str = "frames.gif"): |
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converted_frames = frames.astype(np.uint8) |
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Path(save_path).parent.mkdir(parents=True, exist_ok=True) |
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imageio.mimsave(save_path, converted_frames, fps=8) |
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return save_path |
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def create_gif_from_video_file( |
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file_path: str, |
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num_frames: int = 16, |
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frame_sampling_rate: int = 1, |
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save_path: str = "frames.gif", |
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): |
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frames = sample_frames_from_video_file(file_path, num_frames, frame_sampling_rate) |
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return convert_frames_to_gif(frames, save_path) |
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