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Join this channel to get access to perks: / @jetsonhacks There is a secret place which holds great treasure for Python programmers on NVIDIA Jetson Developer Kits. In this video, we install OpenCV with CUDA support using a pre-built Python .whl file. We'll share the secret portal which hold a wide variety of pre-built CUDA enabled libraries. In this tutorial, we'll also go over how to find and install any missing dependencies, and go through a quick demo. The .whl files may change over time. Jetson AI Lab PyPi server: https://pypi.jetson-ai-lab.io In the video, we downloaded the wheel files then: $ pip install opencv_contrib_python-4.10.0.86-cp310-cp310-linux_aarch64.whl $ pip install opencv_python-4.10.0-py3-none-any.whl The following dependencies were also installed: $ sudo apt install libhdf5-dev $ sudo apt install libtesseract-dev $ sudo apt install libatlas-base-dev If you are using JetPack 6.2, the pip index mentioned in the video is: export PIP_INDEX_URL=https://pypi.jetson-ai-lab.io/jp6/cu126 The USB-Camera repository is at: https://github.com/jetsonhacks/USB-Ca... 00:00 Introduction 01:09 Secret Portal 02:18 Striking Gold 02:47 Jetson PyPi Repo 03:18 Manual Install 04:01 Resolving Dependencies 06:58 Demo time! As an Amazon Associate I earn from qualifying purchases. Visit the JetsonHacks storefront on Amazon: https://www.amazon.com/shop/jetsonhacks Visit the website at https://jetsonhacks.com Sign up for the newsletter! https://newsletter.jetsonhacks.com Github accounts: https://github.com/jetsonhacks https://github.com/jetsonhacksnano Twitter: / jetsonhacks Some of these links here are affiliate links. As an Amazon Associate I earn from qualifying purchases at no extra cost to you.