python install opencv with cuda support

Download this code from https://codegive.com Installing OpenCV with CUDA support can significantly improve the performance of computer vision applications by leveraging the parallel processing capabilities of NVIDIA GPUs. In this tutorial, I'll guide you through the process of installing OpenCV with CUDA support on a Python environment. Make sure you have a compatible NVIDIA GPU and the CUDA toolkit installed on your system. Before installing OpenCV, ensure that you have the necessary dependencies installed. You can use the following commands to install them: You need to install the CUDA toolkit on your system. You can download it from the NVIDIA CUDA Toolkit website. Follow the installation instructions provided on the website. Download the OpenCV source code from the official GitHub repository: Download the OpenCV Contrib repository, which includes extra modules, from the official GitHub repository: Create a build directory, configure the build with CMake, and then build and install OpenCV: Verify that OpenCV has been installed successfully with CUDA support: If everything is installed correctly, you should see information about the OpenCV build and the number of CUDA-enabled devices on your system. That's it! You have successfully installed OpenCV with CUDA support on your Python environment. Now you can leverage the power of your GPU for accelerated computer vision tasks. ChatGPT