OpenCV

OpenCV (Open Source Computer Vision Library) is a library of programming functions mainly aimed at real-time computer vision.

CUDA

OpenCV is also available with CUDA.

[name@server ~]$ module load gcc cuda opencv/X.Y.Z

where X.Y.Z represent the desired version.

Extra modules

The module also contains the extra modules (contrib).

Python bindings

The module contains bindings for multiple Python versions. To discover which are the compatible Python versions, run

[name@server ~]$ module spider opencv/X.Y.Z

Or search directly opencv_python, by running

[name@server ~]$ module spider opencv_python/X.Y.Z

where X.Y.Z represent the desired version.

Usage

1. Load the required modules.

[name@server ~]$ module load gcc opencv/X.Y.Z python scipy-stack

where X.Y.Z represent the desired version.

2. Import OpenCV.

[name@server ~]$ python -c "import cv2"

If the command displays nothing, the import was successful.

Available Python packages

Other Python packages depend on OpenCV bindings in order to be installed. OpenCV provides four different packages:

• opencv_python
• opencv_contrib_python
• opencv_python_headless
• opencv_contrib_python_headless

[name@server ~]$ pip list | grep opencv
opencv-contrib-python              4.5.5                  
opencv-contrib-python-headless     4.5.5                  
opencv-python                      4.5.5                  
opencv-python-headless             4.5.5

With the opencv module loaded, your package dependency for one of the OpenCV named will be satisfied.

Use with OpenEXR

In order to read EXR files with OpenCV, the module must be activated through an environment variable.

[name@server ~]$ OPENCV_IO_ENABLE_OPENEXR=1 python <file>