Nvidia Jetson Tx2 Object Detection

All in all nvidia jetson tx2 tensorrt is a relatively inexpensive compact and productive machine that could be used for real time object detection.

Nvidia jetson tx2 object detection. Yolo utilize convolutional neura. October 19 2020 11 15pm 1. The neural network was trained on nvidia titan x gpu this model was later used with nvidia jetson tx2 board. To help you get up and running with deep learning and inference on nvidia s jetson platform today we are releasing a new video series named hello ai world to help you get started.

Here yolo v2 a real time object detection algorithm is tested on nvidia jetson tx2 module an embedded ai computing device. Detectnet input codec h264. 1 open cv installation for ubuntu is pretty standard and done in same way as shown on their website. While this workflow is for the nvidia jetson tx2 the same can be applied to other.

It s built around an nvidia pascal family gpu and loaded with 8gb of memory and 59 7gb s of memory bandwidth. I read here but don t understand exactly how can i do object recognition and. High performance real time object detection on nvidia jetson tx2. Written by klym yamkovyi proofread by.

Nvidia jetson is a power efficient system on module som with cpu gpu pmic dram and flash storage for edge ai applications that comes in a variety of configuration specifications. In the first episode dustin franklin developer evangelist on the jetson team at nvidia shows you how to perform real time object detection on the jetson nano. 2 installation of open cv on jetson tx2 is a bit. Let s dive into using matlab to deploy this network to an nvidia jetson.

I read here but don t understand exactly. Installed yolo on the nvidia jetson tx2 running it to run some object detection through streaming videos on my living room. Jetson tx2 is the fastest most power efficient embedded ai computing device. This would perform object detection on an rtp input stream.

Opencv was used to capture images. Jetson tx2 is the fastest most power efficient embedded ai computing device.