Skip to main content

Read/write/show images and videos in an IPython notebook

Project description

Read/write/show images and videos in an IPython/Jupyter notebook.

Unittests PyPI version

[GitHub source]   [API docs]   [Colab example]

Examples:

See the notebook   mediapy_examples.ipynb     Open In Colab   Open in Binder

Images:

    !pip install -q mediapy
    import mediapy as media
    import numpy as np

    image = media.read_image('https://github.com/hhoppe/data/raw/main/image.png')
    print(image.shape, image.dtype)  # It is a numpy array.
    media.show_image(image)

    checkerboard = np.kron([[0, 1] * 16, [1, 0] * 16] * 16, np.ones((4, 4)))
    media.show_image(checkerboard)

    media.show_image(media.color_ramp((128, 128)), height=48, title='ramp')

    images = {
        'original': image,
        'brightened': media.to_float01(image) * 1.5,
    }
    media.show_images(images)

    media.write_image('/tmp/checkerboard.png', checkerboard)

Videos:

    url = 'https://github.com/hhoppe/data/raw/main/video.mp4'
    video = media.read_video(url)
    print(video.shape, video.dtype)  # It is a numpy array.
    print(video.metadata.fps)  # The 'metadata' attribute includes framerate.
    media.show_video(video)  # Play the video using the retrieved framerate.

    media.show_images(video, height=80, columns=4)  # Show frames side-by-side.

    video = media.moving_circle((128, 128), num_images=10)
    media.show_video(video, fps=10)

    media.write_video('/tmp/video.mp4', video, fps=60)

    # Darken a video frame-by-frame:
    filename_in = '/tmp/video.mp4'
    filename_out = '/tmp/out.mp4'
    with media.VideoReader(filename_in) as r:
      print(f'shape={r.shape} fps={r.fps} bps={r.bps}')
      darken_image = lambda image: media.to_float01(image) * 0.5
      with media.VideoWriter(
          filename_out, shape=r.shape, fps=r.fps, bps=r.bps) as w:
        for image in r:
          w.add_image(darken_image(image))
    media.show_video(media.read_video(filename_out), fps=60)

Setup:

Video I/O relies on the external program ffmpeg, which must be present in the system PATH. On Unix, it can be installed using:

    apt install ffmpeg

or within a notebook using:

    !command -v ffmpeg >/dev/null || (apt update && apt install -y ffmpeg)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mediapy-1.2.2.tar.gz (26.6 kB view details)

Uploaded Source

Built Distribution

mediapy-1.2.2-py3-none-any.whl (26.0 kB view details)

Uploaded Python 3

File details

Details for the file mediapy-1.2.2.tar.gz.

File metadata

  • Download URL: mediapy-1.2.2.tar.gz
  • Upload date:
  • Size: 26.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.11.9

File hashes

Hashes for mediapy-1.2.2.tar.gz
Algorithm Hash digest
SHA256 42d9a1aa93c183550b824dbb4f0de5da61aa5c84db8f01f063acd1f23b90ef0a
MD5 d1036a533ab60a7b36be47c74ef3c0c4
BLAKE2b-256 84ee1a686eddd78700c4e1ff49dbf80cb5a23b1b8af25d936bc774f4d36501ba

See more details on using hashes here.

File details

Details for the file mediapy-1.2.2-py3-none-any.whl.

File metadata

  • Download URL: mediapy-1.2.2-py3-none-any.whl
  • Upload date:
  • Size: 26.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.11.9

File hashes

Hashes for mediapy-1.2.2-py3-none-any.whl
Algorithm Hash digest
SHA256 2b159c385120c6eca9c88ccf96a19fb2b5b5937c788cf430db637d27270618ba
MD5 787457b396e0ea88fc4fe625efc6d63b
BLAKE2b-256 606060afad3bdd7d828c383e97efe2d774ebad8f41180f13b307ff895f2cb5e9

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page