video metadata parse benchmark of cv2, VideoConverter, Imageio

converter-bench.py

"""
$ pipenv install git+https://github.com/senko/python-video-converter.git#egg=VideoConverter
"""

import converter


def get_meta(path):
    c = converter.Converter()
    return c.probe(path)


if __name__ == '__main__':
    import timeit

    print(timeit.timeit("get_meta('movie/bannerg004.mp4')", setup="from __main__ import get_meta", number=100))

cv2-bench.py

"""
$ pipenv install opencv-python-headless
"""

import cv2


def get_meta(path):
    video = cv2.VideoCapture(path)
    fps = video.get(cv2.CAP_PROP_FPS)
    frames = video.get(cv2.CAP_PROP_FRAME_COUNT)
    return {
        'fps': fps,
        'width': video.get(cv2.CAP_PROP_FRAME_WIDTH),
        'height': video.get(cv2.CAP_PROP_FRAME_HEIGHT),
        'format': video.get(cv2.CAP_PROP_FOURCC),
        'length': float(frames) / float(fps),
    }


if __name__ == '__main__':
    import timeit

    print(timeit.timeit("get_meta('movie/bannerg004.mp4')", setup="from __main__ import get_meta", number=100))

imageio-bench.py

"""
$ pipenv install imageio imageio-ffmpeg
"""
import imageio


def get_meta(path):
    reader = imageio.get_reader(path)
    return reader.get_meta_data()


if __name__ == '__main__':
    import timeit

    print(timeit.timeit("get_meta('movie/bannerg004.mp4')", setup="from __main__ import get_meta", number=100))

result.md

video is here

mp4 video file (22.3 MB)

benchmark on macOS 10.14.6 (MacBook Pro (13-inch, 2018, Four Thunderbolt 3 Ports)

result is the time (seconds) which take for 100 times

$ python --version
Python 3.7.3
$ python cv2-bench.py
2.1942368510000003
$ python converter-bench.py
5.014792028
$ python imageio-bench.py
20.356597165999997