summary:

Real-time computer vision library (runtime)

description:

OpenCV (Open Source Computer Vision) is a library of programming functions for real time computer vision. Example applications of the OpenCV library are Human-Computer Interaction; Object Identification, Segmentation and Recognition; Face Recognition; Gesture Recognition; Camera and Motion Tracking, Ego Motion, Motion Understanding; Structure From Motion; Stereo and Multi-Camera Calibration and Depth Computation; Mobile Robotics.

categories:

Libs

depends:

cygwin, libIlmImf22, libOpenCL1, libcairo2, libfreetype6, libgcc1, libgdk_pixbuf2.0_0, libglib2.0_0, libgstinterfaces1.0_0, libgstreamer1.0_0, libgtk3_0, libharfbuzz0, libhdf5_10, libilmbase12, libjasper4, libjpeg8, libpng16, libstdc++6, libtiff6, libwebp7, zlib0

rdepends:

gmic, gmic-zart, gstreamer1.0-plugins-bad-free-extras, libgstbad1.0_0, libopencv-devel, opencv, python3-cv2

source package:

opencv

maintainer(s):

Marco Atzeri (Use the mailing list to report bugs or ask questions. Do not contact the maintainer(s) directly.)