Complete Guide: Installing and Building OpenCV with GPU for Python using VS Code and NVIDIA CUDA

In this Computer Vision Tutorial ? we are going to Install and Build OpenCV with GPU for Python. We are going to use NVIDIA Cuda to run our OpenCV programs on an NVIDIA GPU. We will go over the installation process for all the required programs and files. We will then use CMake to do the configuration of the OpenCV source files and then build them with GPU support later on. At the end of the video, I'll show how we can include the OpenCV library with GPU support in Visual Studio Code and see how we can verify that everything is set up correctly.


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Video for Installation and C++: https://youtu.be/-GY2gT2umpk

OpenCV Source Code: https://github.com/opencv/opencv/tree/4.5.2
OpenCV Contrib: https://github.com/opencv/opencv_contrib/tree/4.5.2
Visual Studio 2019: https://visualstudio.microsoft.com/downloads/
Anaconda 3: https://www.anaconda.com/products/individual
CMake: https://cmake.org/download/
NVIDIA Cuda: https://developer.nvidia.com/cuda-downloads
NVIDIA cuDNN: https://developer.nvidia.com/rdp/cudnn-download
cuDNN Installation Guide: https://docs.nvidia.com/deeplearning/cudnn/install-guide/index.html#install-windows
Cuda Wikipedia: https://en.wikipedia.org/wiki/CUDA

Command to Install: cmake --build "C:\your_path\build" --target INSTALL --config Release

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⌛TimeStamps⏳
0:00 - Overview
2:30 - Download OpenCV Source
3:37 - Anaconda and Python
7:33 - CMake Configuration
19:34 - Verify Installation and VSCode Setup Python


Tags for the video:
#OpenCV #opencvGPU #NVIDIA #Cuda #ComputerVision #OpenCVpython #Python