Image

Image processing libraries

Image processing library

Computer vision is a thriving area of research. Vision scientists needs algorithms that works on images represented as a multidimensional arrays (different from say Photoshop), preferably multithreaded and GPU accelerated.

Notable non-Nim libraries include OpenCV, Matlab, Python scikit-image, scipy.ndimage and mahotas.

Status: in-progress

Nim bindings for OpenCV by @dom96.

Unmaintained:

Arraymancer-vision by @edubart

Nim-opencv provides rough low-level bindings of OpenCV functions.


Last modified January 1, 0001