https://github.com/tomrunia/opticalflow_visualization
Python optical flow visualization following Baker et al. (ICCV 2007) as used by the MPI-Sintel challenge
https://github.com/tomrunia/opticalflow_visualization
iccv motion opencv optical-flow python vision visualization
Last synced: 15 days ago
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Python optical flow visualization following Baker et al. (ICCV 2007) as used by the MPI-Sintel challenge
- Host: GitHub
- URL: https://github.com/tomrunia/opticalflow_visualization
- Owner: tomrunia
- License: mit
- Created: 2018-08-03T09:27:00.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2020-11-05T00:07:45.000Z (over 4 years ago)
- Last Synced: 2025-04-02T06:05:56.961Z (22 days ago)
- Topics: iccv, motion, opencv, optical-flow, python, vision, visualization
- Language: Python
- Size: 413 KB
- Stars: 441
- Watchers: 9
- Forks: 57
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- License: LICENSE.txt
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README
# Optical Flow Visualization
Python port of the optical flow visualization: [people.csail.mit.edu/celiu/OpticalFlow/](https://people.csail.mit.edu/celiu/OpticalFlow/).
This implementation is based on the color wheel presented in:```
S. Baker, D. Scharstein, J. Lewis, S. Roth, M. J. Black, and R. Szeliski.
A database and evaluation methodology for optical flow.
In Proc. IEEE International Conference on Computer Vision (ICCV), 2007.
```## Installation
pip install flow_vis
## Usage
import flow_vis
flow_color = flow_vis.flow_to_color(flow_uv, convert_to_bgr=False)## Examples visualizations
Example visualization from the MPI Sintel Dataset:



## Acknowledgements
I would like to thank [Susana Bouchardet](https://github.com/sbouchardet) for preparing the repository for PyPi.