Read/write/show images and videos in an IPython notebook
Project description
Read/write/show images and videos in an IPython/Jupyter notebook.
[GitHub source] [API docs] [Colab example]
Examples:
See the notebook
mediapy_examples.ipynb
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-get install ffmpeg
or within a notebook using:
!command -v ffmpeg >/dev/null || (apt update && apt install -y ffmpeg)
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