OpenCV (Open Source Computer Vision) is a library of programming functions mainly aimed at real time computer vision. Example applications of the OpenCV library are Human-Computer Interaction (HCI); Object Identification, Segmentation and Recognition; Face Recognition; Gesture Recognition; Motion Tracking, Ego Motion, Motion Understanding; Structure From Motion (SFM); and Mobile Robotics. Install user contributed scripts from opencv_contrib (Experimental!) Enable NVIDIA Cuda computations support (Experimental!) Enable download during cmake configure Enable usage of dev-cpp/eigen for computations Enable features2d module Enable support for sci-libs/gdal library Enable x11-libs/gtk+:3 support Build using Link Time Optimizations (LTO) Enable compilation with opencvapps Use Google's C++ argument parsing library Use Google's C++ loggin library Enables xfeatures2d and autodownload of samples in contrib CVV module requires Qt5 DNN module contrib requires tiny dnn HDF module requires sci-libs/hdf5 SFM module requires eigen, gflags, and glog Enable Drawing UTF-8 strings with freetype/harfbuzz Enable Ogre vision module support Download dnn caffeemodel samples Add support for OpenCL Use Google's OCR Engine Build and install programs for testing OpenCV (performance) Build new 3D visualization module viz based on sci-libs/vtk cpe:/a:opencv:opencv opencv/opencv Itseez/opencv_contrib opencvlibrary