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Pure Python optical flow: Horn-Schunck

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Optical Flow: Horn-Schunck

Python implementation of optical flow estimation using only the Scipy stack for:

  • Horn Schunck

Lucas-Kanade is also possible in the future, let me know if you’re interested in Lucas Kanade.


Requires Python >= 3.6:

pip install -e .

optionally, to run self-tests:

pip install -e .[tests]

pytest -v


The program scripts expect <directory> <glob pattern> It uses [imageio]( to load a very wide varity of images and video.


python data/box box*.bmp


all time steps:

python data/office office*.bmp

or just the first 2 time steps:

python data/office office.[0-2].bmp


python data/rubic rubic*.bmp


python data/sphere sphere*.bmp

Comparision with Matlab Computer Vision toolbox

In Matlab directory, similar method in Octave and a comparison plot using Matlab Computer Vision toolbox.

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Filename, size & hash SHA256 hash help File type Python version Upload date
pyoptflow-1.3.0-py3-none-any.whl (9.4 kB) Copy SHA256 hash SHA256 Wheel py3 Mar 26, 2018
pyoptflow-1.3.0.tar.gz (5.7 kB) Copy SHA256 hash SHA256 Source None Mar 26, 2018

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