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import pandas as pd |
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from moviepy import VideoFileClip |
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from pathlib import Path |
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def cut_video(input_path, output_path, from_timestamp, to_timestamp): |
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with VideoFileClip(input_path) as video: |
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clipped = video.subclip(from_timestamp, to_timestamp) |
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clipped.write_videofile(output_path, codec="libx264", audio_codec="aac") |
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def split_video(vid_path, episodes_df, from_col, to_col): |
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output_dir = Path(vid_path).parent |
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with VideoFileClip(vid_path) as video: |
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df = episodes_df[[from_col, to_col]] |
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for i, row in df.iterrows(): |
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from_timestamp = row[from_col] |
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to_timestamp = row[to_col] |
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clipped_vid = video.subclipped(from_timestamp, to_timestamp) |
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output_path = f'{output_dir}/episode_{i:03d}.mp4' |
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clipped_vid.write_videofile(output_path, codec="libx264", audio_codec="aac") |
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episodes_df = pd.read_parquet('/home/dcjs/dc/seeed/gr00t_training/Isaac-GR00T/demo_data/pick_up_trash/meta/episodes/chunk-000/file-000.parquet') |
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video_birdseye_path = '/home/dcjs/dc/seeed/gr00t_training/Isaac-GR00T/demo_data/pick_up_trash/videos/observation.images.birdseye/chunk-000/file-000.mp4' |
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video_wrist_path = '/home/dcjs/dc/seeed/gr00t_training/Isaac-GR00T/demo_data/pick_up_trash/videos/observation.images.wrist/chunk-000/file-000.mp4' |
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split_video(video_birdseye_path, episodes_df, 'videos/observation.images.birdseye/from_timestamp', 'videos/observation.images.birdseye/to_timestamp') |
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split_video(video_wrist_path, episodes_df, 'videos/observation.images.wrist/from_timestamp', 'videos/observation.images.wrist/to_timestamp') |
