https://github.com/google/mediapy

This Python library makes it easy to display images and videos in a notebook.
https://github.com/google/mediapy

image ironpython jupyter-notebook video viewer

Last synced: 23 days ago
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This Python library makes it easy to display images and videos in a notebook.

• Host: GitHub
• URL: https://github.com/google/mediapy
• Owner: google
• License: apache-2.0
• Created: 2021-03-11T22:27:57.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2024-05-28T16:55:20.000Z (6 months ago)
• Last Synced: 2024-05-29T08:00:43.001Z (6 months ago)
• Topics: image, ironpython, jupyter-notebook, video, viewer
• Language: Jupyter Notebook
• Homepage: https://pypi.org/project/mediapy/
• Size: 927 KB
• Stars: 364
• Watchers: 11
• Forks: 19
• Open Issues: 4
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE

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README

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

[![Unittests](https://github.com/google/mediapy/actions/workflows/pytest_and_autopublish.yml/badge.svg)](https://github.com/google/mediapy/actions/workflows/pytest_and_autopublish.yml)

[![PyPI version](https://badge.fury.io/py/mediapy.svg)](https://badge.fury.io/py/mediapy)

[**[GitHub source]**](https://github.com/google/mediapy)  

[**[API docs]**](https://google.github.io/mediapy/)  

[**[Colab example]**](https://colab.research.google.com/github/google/mediapy/blob/main/mediapy_examples.ipynb)

## Examples:

See the notebook  

[`mediapy_examples.ipynb`](https://github.com/google/mediapy/blob/main/mediapy_examples.ipynb)

   

[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/google/mediapy/blob/main/mediapy_examples.ipynb)

 

[![Open in Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/google/mediapy/main?filepath=mediapy_examples.ipynb)

### Images:

```python

    !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:

```python

    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:

```shell

    apt install ffmpeg

```

or within a notebook using:

```python

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

```