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
1 maintainer
Metadata
1 maintainer
Release files for pyoptflow 1.5.0
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