OpenCV, or Open Source Computer Vision Library, is a code library developed for the purpose of image processing and real-time computer vision.
OpenCV is the largest computer vision library in terms of the vast number of functions it encompasses. The library is open source and freely available for use. It was originally created by Intel and has since gained a large community of supporters and developers who continuously improve and release new and enhanced versions. OpenCV provides interfaces for various programming languages, including Python, Java, and C++.
Initially, the primary goal of creating OpenCV was real-time applications for computational efficiency. Since 2011, OpenCV has also offered GPU acceleration for real-time operations. When combined with the NumPy library, the Python programming language can process certain structures, like arrays. Image pattern recognition and feature extraction often require the use of vector and spatial calculations involving these features.
Learning image processing development with a specialization in OpenCV can significantly enhance the toolkit of developers interested in pursuing a career in the forefront of the industry, particularly in the field of Image Processing.
Who is suitable for this course?
- electronics engineers
- hardware testers with no prior software knowledge
- developers with no prior software development experience
- automation developers in software testing