Description:

pyoptflow 1.4.0

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 us know if you're interested in Lucas Kanade.
Install
python -m pip install -e .

optionally, to run self-tests:
python -m pip install -e .[tests]

pytest -v

Examples
The program scripts expect directory glob pattern
imageio loads a wide varity of images and video.
Box:
python HornSchunck.py src/pyoptflow/data/tests/box box*.bmp

Office: all time steps:
python HornSchunck.py src/pyoptflow/data/tests/office office*.bmp

or just the first 2 time steps:
python HornSchunck.py src/pyoptflow/data/tests/office office.[0-2].bmp

Rubic:
python HornSchunck.py src/pyoptflow/data/tests/rubic rubic*.bmp

Sphere
python HornSchunck.py src/pyoptflow/data/tests/sphere sphere*.bmp

Compare: Matlab Computer Vision toolbox: in matlab,
similar method in Octave and a comparison plot using Matlab Computer Vision toolbox.
Reference:Inspiration

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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