Merge pull request #11 from mstevenson/main
Added video extractor arguments and documentation
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# Video frame extractor
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## Usage
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Place video files into the top level of a directory.
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Execute `python scripts/extract_video_frames.py --vid_dir path/to/videos` to iterate over all files, extract frames at regular intervals, and save full resolution frame images to disk.
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This tool supports a wide variety of input video containers and codecs (via OpenCV), and exports jpg or png files.
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## Arguments
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### --vid_dir
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Required directory path for input video files.
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### --out_dir
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Optional directory path in which to store extracted frame images. Defaults to a directory named 'output' that will be created inside the specified videos directory.
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### --format
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The format for image files saved to disk. Defaults to `png`, or optionally `jpg`.
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### --interval
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The number of seconds between frame captures. Defaults to 10 seconds.
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# extract frames from videos every n seconds
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import cv2
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import os
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import argparse
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from pathlib import Path
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import cv2
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video_base_path = Path('../movies')
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frames_root_path = Path('../frames')
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def get_parser(**parser_kwargs):
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parser = argparse.ArgumentParser(**parser_kwargs)
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parser.add_argument(
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"--vid_dir",
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required=True,
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type=str,
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nargs="?",
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const=True,
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help="directory with videos to extract frames",
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)
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parser.add_argument(
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"--out_dir",
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type=str,
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nargs="?",
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const=True,
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help="directory to put extracted images",
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)
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parser.add_argument(
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"--format",
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type=str,
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nargs="?",
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const=True,
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default="png",
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choices=["png", "jpg"],
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help="image file format of the extracted frames",
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)
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parser.add_argument(
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"--interval",
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type=int,
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nargs="?",
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const=True,
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default=10,
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help="number of seconds between frame captures",
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)
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return parser
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def get_videos(input_dir):
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for f in input_dir.iterdir():
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file_path = Path(f)
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if file_path.suffix in [".mp4", ".avi", ".mov", ".mpeg", ".mpg", ".mkv"]:
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yield file_path
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interval = 30 #seconds
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def capture_frames(input_dir, output_dir):
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print (f'Capturing video frames in {opt.interval} second intervals.\n')
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if not video_base_path.exists():
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print('Video base path does not exist')
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exit(1)
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for video_path in get_videos(input_dir):
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print(f'Extracting {video_path}')
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cap = cv2.VideoCapture(str(video_path))
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if not cap.isOpened():
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print(f'Could not open video')
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continue
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if not frames_root_path.exists():
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os.mkdir(frames_root_path)
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output = output_dir / video_path.stem
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output.mkdir(exist_ok=True, parents=True)
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# loop over all files in the base path
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for video_path in video_base_path.iterdir():
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frames_folder = frames_root_path / f'frames-{video_path.stem}'
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if not frames_folder.exists():
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os.mkdir(frames_folder)
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current_frame = 0
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count = 0
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fps = cap.get(cv2.CAP_PROP_FPS)
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while cap.isOpened():
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ret, frame = cap.read()
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if ret:
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count_str = str(count).zfill(4)
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cv2.imwrite(str(output / f'frame_{count_str}.{opt.format}'), frame)
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current_frame += fps * opt.interval
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cap.set(cv2.CAP_PROP_POS_FRAMES, current_frame)
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count += 1
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else:
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cap.release()
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break
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print(f'Loading video {video_path}')
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print(f'Saving frames to {frames_folder}')
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print(f'\nFinished extracting frames to {output_dir}\n')
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cap = cv2.VideoCapture(str(video_path))
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fps = cap.get(cv2.CAP_PROP_FPS)
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count = 0
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if __name__ == "__main__":
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parser = get_parser()
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opt = parser.parse_args()
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while(cap.isOpened()):
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ret, frame = cap.read()
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if ret:
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cv2.imwrite(str(frames_folder / f'frame{count}.jpg'), frame)
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count += fps * interval
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cap.set(cv2.CAP_PROP_POS_FRAMES, count)
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else:
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cap.release()
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break
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if (not Path(opt.vid_dir).exists):
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print("Video directory does not exist.")
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exit(1)
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print('done')
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if (opt.out_dir is None):
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output = Path(opt.vid_dir) / "output"
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print(f"No output directory specified, using default: {output}")
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else:
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output = Path(opt.out_dir)
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capture_frames(Path(opt.vid_dir), output)
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