Skip to content

Fast, accurate and easy to run dense optical flow with python wrapper

License

Notifications You must be signed in to change notification settings

pathak22/pyflow

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

12 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Python Dense Optical Flow

Python wrapper for Ce Liu's C++ implementation of Coarse2Fine Optical Flow. This is super fast and accurate optical flow method based on Coarse2Fine warping method from Thomas Brox. This python wrapper has minimal dependencies, and it also eliminates the need for C++ OpenCV library. For real time performance, one can additionally resize the images to a smaller size.

Run the following steps to download, install and demo the library:

git clone https://github.com/pathak22/pyflow.git
cd pyflow/
python setup.py build_ext -i
python demo.py    # -viz option to visualize output

This wrapper code was developed as part of our CVPR 2017 paper on Unsupervised Learning using unlabeled videos. Github repository for our CVPR 17 paper is here.

Releases

No releases published

Packages

No packages published