Installing scikit-video is easy!
$ sudo pip install scikit-video
If you have any installation issues, consult the
FAQ. If you still have trouble, please report the issue on
github.
Scikit-video is designed for easy video processing using Python. It is modeled in the spirit of other successful scikits such as scikit-learn and scikit-image. The developers of scikit-video know libraries exist for manipulating videos, such as PyFFmpeg, MoviePy, PyAV, imageIO, and opencv. However, no libraries have been found to provide an all-in-one solution for research-level video processing tools.
This project aims to make video algorithms easy to access for students, engineers, instructors, and researchers. Choose a category below to start learning how to use scikit-video!
Reading and Writing Videos
Motion Estimation Tools
Measurement Tools
Utility Functions
Test Datasets
Examples
Benchmarking scikit-video
Frequently Asked Questions
API Reference