fcakyon/zero-shot-video-classification

1from pathlib import Path2from pytube import YouTube3import numpy as np4from decord import VideoReader5import imageio6 7 8def download_youtube_video(url: str):9    yt = YouTube(url)10 11    streams = yt.streams.filter(file_extension="mp4")12    file_path = streams[0].download()13    return file_path14 15 16def sample_frames_from_video_file(17    file_path: str, num_frames: int = 16, frame_sampling_rate=118):19    videoreader = VideoReader(file_path)20    videoreader.seek(0)21 22    # sample frames23    start_idx = 024    end_idx = num_frames * frame_sampling_rate - 125    indices = np.linspace(start_idx, end_idx, num=num_frames, dtype=np.int64)26    frames = videoreader.get_batch(indices).asnumpy()27 28    return frames29 30 31def get_num_total_frames(file_path: str):32    videoreader = VideoReader(file_path)33    videoreader.seek(0)34    return len(videoreader)35 36 37def convert_frames_to_gif(frames, save_path: str = "frames.gif"):38    converted_frames = frames.astype(np.uint8)39    Path(save_path).parent.mkdir(parents=True, exist_ok=True)40    imageio.mimsave(save_path, converted_frames, fps=8)41    return save_path42 43 44def create_gif_from_video_file(45    file_path: str,46    num_frames: int = 16,47    frame_sampling_rate: int = 1,48    save_path: str = "frames.gif",49):50    frames = sample_frames_from_video_file(file_path, num_frames, frame_sampling_rate)51    return convert_frames_to_gif(frames, save_path)52