Use Opencv with GPU with just 2 lines of code.To do that we need to use some tools like Visual Studio (C++’s GCC compiler), CMake, etc. To install OpenCV GPU on windows we have to compile or build the source code of Opencv with CUDA, cuDNN, and Nvidia GPU. It’s easy to install OpenCV for GPU on the Linux machine but it is hard for Windows. Now if you are working on deep learning or video processing project like Object Detection, Social Distance detection, you will face lags in the output video ( less frame rate per second), you can fix this lag using GPU if your system has NVIDIA GPU (NVIDIA Graphics card). OpenCV library can be used for both CPU and GPU, but if you just install OpenCV by “pip” or “conda” command ( pip install opencv- python) it will use CPU as a backend by default. You must install OpenCV for GPU if your system allows you.
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