OpenCV: Difference between revisions

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* <tt>opencv_contrib_python_headless</tt>
* <tt>opencv_contrib_python_headless</tt>


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{{Command
{{Command
|pip list {{!}} grep opencv
|pip list {{!}} grep opencv

Revision as of 19:24, 28 November 2022

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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.

Question.png
[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

Question.png
[name@server ~]$ module spider opencv/4.5.5

Or search directly opencv_python, by running

Question.png
[name@server ~]$ module spider opencv_python/4.5.5

Usage

1. Load the required modules.

Question.png
[name@server ~]$ module load gcc/9.3.0 opencv python scipy-stack

2. Import OpenCV.

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

If the command displays nothing, the import was successful.

Fulfilling other Python package dependency

Other Python packages depends 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
Question.png
[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.