![]() Highlighted software on the image includes, but is not limited to, Python, OpenCV, TensorFlow, TensorFlow Lite, Keras, and TensorRT. img file, (2) flash it to your microSD card using balenaEtcher, and (3) boot your NVIDIA Jetson Nano.įrom there, you’ll have a complete listing of software ready to go in a virtual environment without all the hassle of configuring, compiling, and installing the software. img.Īll you have to do is (1) download the. ![]() If you purchase a copy of the Complete Bundle of Raspberry Pi for Computer Vision, you’ll gain access to this accompanying. It is developed and supported by my team here at PyImageSearch to save you time and bring you up to speed quickly for developing your own embedded CV/DL projects and for following along with my new book Raspberry Pi for Computer Vision. img will save you hours, if not days, of labor setting up your NVIDIA Jetson Nano. Today, I’m pleased to announce my pre-configured NVIDIA Jetson Nano. ![]() If you’ve ever configured an NVIDIA product such as the TX1, TX2, and even the Nano, you know that working with NVIDIA’s Jetpack and installing libraries is far from straightforward. img includes TensorFlow, Keras, TensorRT, OpenCV, etc. img for Computer Vision and Deep Learning. ![]() In this tutorial you will learn how to use my pre-configured NVIDIA Jetson Nano. Click here to download the source code to this post
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