Datasets:
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27c831e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 | import pandas as pd
from moviepy import VideoFileClip
from pathlib import Path
def cut_video(input_path, output_path, from_timestamp, to_timestamp):
with VideoFileClip(input_path) as video:
clipped = video.subclip(from_timestamp, to_timestamp)
clipped.write_videofile(output_path, codec="libx264", audio_codec="aac")
def split_video(vid_path, episodes_df, from_col, to_col):
output_dir = Path(vid_path).parent
with VideoFileClip(vid_path) as video:
df = episodes_df[[from_col, to_col]]
for i, row in df.iterrows():
from_timestamp = row[from_col]
to_timestamp = row[to_col]
clipped_vid = video.subclipped(from_timestamp, to_timestamp)
output_path = f'{output_dir}/episode_{i:03d}.mp4'
clipped_vid.write_videofile(output_path, codec="libx264", audio_codec="aac")
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')
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'
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'
split_video(video_birdseye_path, episodes_df, 'videos/observation.images.birdseye/from_timestamp', 'videos/observation.images.birdseye/to_timestamp')
split_video(video_wrist_path, episodes_df, 'videos/observation.images.wrist/from_timestamp', 'videos/observation.images.wrist/to_timestamp') |