OpenCV 3rd party
OpenCV for Open Computer Vision Library licensed under the terms of the BSD license is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL and uses Intel Integrated Performance Primitives for better performance. OpenCV is one of the optional 3rd parties supported by ViSP core module. OpenCV may be also useful in io, gui, detection, klt, vision and mbt modules.
Since ViSP-2.10.0, ViSP is compatible with OpenCV 3.0.0.
ViSP uses OpenCV in order to provide vpImage to cv::Mat image converters (see vpImageConvert class), an vpImage renderer (see vpDisplayOpenCV class), as well as a KLT keypoint tracking (see vpKltOpencv class), and keypoint point matching classes (vpKeyPoint class).
OpenCV can be downloaded from http://opencv.org/downloads.html.
Hereafter we provide installation instructions for the following OS:
Ubuntu or debian installation
On Linux Debian or Ubuntu you may install the library with apt-get. Since Ubuntu Precise 12.04 use:
sudo apt-get install libopencv-dev
Fedora, RedHat or CentOS installation
On Fedora, RedHat or CentOS you may install the library with yum:
su -c "yum install opencv-devel"
Mac OSX installation
On OSX you may install OpenCV with homebrew:
brew update brew tap homebrew/science brew install opencv3
You can find OpenCV at:
Now to indicate to CMake where OpenCV is installed you will need to add the following line in your ~/.bashrc or ~/.bash_profile
Note that OpenCV_DIR var gives now the location of OpenCVConfig.cmake file.
An installer is provided here http://opencv.org/downloads.html