Nvidia Jetson Yolo
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The simple setup allows you to become an urban data miner.
Nvidia jetson yolo. Running these on your jetson nano is a great test of your board and a bit of fun. All the steps described in this blog posts are available on the video tutorial so you can easily watch the video where i show and explain everythin step by step. It includes a familiar linux environment and brings to each jetson developer the same nvidia cuda x software and tools used by professionals around the world. Nvidia jetpack enables a new world of projects with fast and efficient ai.
We can now work on yolo. In particular jetson nano is the smallest embedded board available from nvidia. We re going to learn in this tutorial how to install and run yolo on the nvidia jetson nano using its 128 cuda cores gpu. Darknet is a neural network framework.
This time we used the repository. To use these awesome models you need to install darknet the program that runs interference on a video stream from. Open source neural networks in c for more information. Quantify the world monitor urban landscapes with this offline lightweight diy solution.
Install on an nvidia jetson board logitech webcam and count cars pedestrians and motorbikes from your livestream running yolo and a tracking software we built. Yolo is a highly optimized machine learning model to recognize objects in videos and images. The development process is simplified with support for cloud native technologies and developers can go even further with gpu accelerated libraries and sdks. Using yolo models on nvidia jetson january 21 2020.
Luckily for us the nvidia image ships with cuda 10 and opencv 4 1 1 already installed.
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