Pure Python optical flow: Horn-Schunck
Project description
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 data/box box*.bmp
Office
all time steps:
python HornSchunck.py data/office office*.bmp
or just the first 2 time steps:
python HornSchunck.py data/office office.[0-2].bmp
Rubic
python HornSchunck.py data/rubic rubic*.bmp
Sphere
python HornSchunck.py data/sphere sphere*.bmp
Compare: Matlab Computer Vision toolbox
In Matlab
directory, similar method in Octave and a comparison plot using Matlab Computer Vision toolbox.
Reference
Project details
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Source Distribution
pyoptflow-1.3.1.tar.gz
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