OpenCV: Difference between revisions
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With the <tt>opencv</tt> module loaded, your package dependency for one of the OpenCV named will be satisfied. | With the <tt>opencv</tt> 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. | |||
{{Command|OPENCV_IO_ENABLE_OPENEXR{{=}}1 python <file>}} | |||
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Revision as of 12:40, 16 June 2023
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/9.3.0 cuda/11.4 opencv
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/4.5.5
Or search directly opencv_python, by running
[name@server ~]$ module spider opencv_python/4.5.5
Usage
1. Load the required modules.
[name@server ~]$ module load gcc/9.3.0 opencv python scipy-stack
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>