A python based computer vision and video processing library that works by representing videos as N-Dimensional arrays. Once in this form anyone familiar with numpy or matlab is ready to use the library. Combining the speed of C (numpy) with the ease of python allows for rapid implementation and experimentation of various video and visual processing algorithms.
Included is a video visualiser and functions for background subtraction, frame differencing, edge detection and other video spatio-temporal analysis.
This work was funded under the DARPA Mind's Eye project: W911NF-10-2-0062
This project currently depends on ffmpeg and the following python libraries.
numpy, matplotlib, hdf5
View full history Series and milestones
trunk series is the current focus of development.