This is thanks to OpenCV’s large number of algorithms and functions.įurthermore, there are many advantages to using OpenCV, one of them being its hardware optimization capability. Therefore, it’s a widely-used library by individuals and corporations alike, mainly because it enables them to focus on building real-world applications relating to computer vision, image processing, and machine learning without starting from square one. It’s written in C++ and comprises over 500 algorithms and thousands of functions that help support those algorithms. OpenCV or Open Source Computer Vision Library is an open-source software library used for computer vision, image processing, and machine learning. Do you want to know how to install OpenCV or CV2 for Python? This guide shows just that, and it’s perfect for whether you’re using Anaconda, Spyder or Visual Studio Code.
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