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OpenCV

module avail opencv/

OpenCV is a tool for image processing and performing computer vision tasks. It is an open-source library that can be used to perform tasks like face detection, objection tracking, landmark detection, and much more.

Only some OpenCV modules are compiled with GPU support (Cuda).

Usage

Versions

  • opencv/2.3.2 - for Python 2.6
  • opencv/2.4 - for Python 2.7
  • opencv/2.4-cuda - for Python 2.6
  • opencv/3.2 - for Python 2.7
  • opencv/3.2-cuda - for Python 2.7 and Cuda 8.0
  • opencv/3.3.1-py34 - for Python 3.4
  • opencv/3.4.5-py36 - for Python 3.6
  • opencv/3.4.5-py36-cuda10.1 - for Python 3.6 and Cuda 10.1

Python

OpenCV can be used as a Python library. This module is compiled with Python 2.7 and Numpy support. To initialize your environment, use:

# for opencv/2.4 module
module add python/2.7.5 numpy/1.7.1-py2.7 ffmpeg opencv/2.4
# for older opencv/2.3.2 module
module add python/2.6.2 numpy/py2.6 ffmpeg opencv/2.3.2

Then, in Python, library cv2 is available, you can import it and use it:

import cv2

img = cv2.imread('test.png')

C++

Here is a short demonstration, how to compile a C++ project with OpenCV. OpenCV module uses ffmpeg module internally for video processing.

Initialize your environment:

module add cmake/2.8 ffmpeg opencv/2.4

Module cmake is used for c++ project compilation. Our sample project is available here: metacentrum_opencv_demo.zip. Decompress this ZIP file in your home directory, at any metacentrum frontend machine.

Directory metacentrum_opencv_demo contains source cpp file, CMakeLists.txt for cmake, and several sample videos in "samples" subdirectory.

Create new directory metacentrum_opencv_demo_build (as a sibling directory to metacentrum_opencv_demo directory). Here, we will make a compilation and build of whole project.

Similarly, create new directory metacentrum_opencv_demo_install, where resulting binary file will be installed.

In metacentrum_opencv_demo_build directory, execute:

ccmake ../metacentrum_opencv_demo

This will launch cmake GUI and create new configuration for our build. Configure the project as follows:

CMAKE_BUILD_TYPE                
CMAKE_INSTALL_PREFIX            /home/campr/metacentrum_opencv_demo_install
OpenCV_DIR                      /afs/ics.muni.cz/software/opencv-2.4/share/OpenCV

OpenCV_DIR should be set automatically. Adjust CMAKE_INSTALL_PREFIX to link to your metacentrum_opencv_demo_install directory.

Press c to configure, g to generate project (makefile etc. will be created).

In metacentrum_opencv_demo_build directory execute:

make install

This will compile the project. In case no error was thrown, the resulting files (binary executable and sample videos) will be installed to metacentrum_opencv_demo_install directory.

To test, in metacentrum_opencv_demo_install/bin directory, execute:

./opencv_demo ../samples/test.avi

This will output a set of points (one point per frame from input video).