Nvidia Jetson Face Recognition

The face recognition depends on dlib package.

Nvidia jetson face recognition. Explore and learn from jetson projects created by us and our community. Face expression detection using nvidia jetson nano pantechsolutions. Guide to deploying deep learning inference networks and deep vision primitives with tensorrt and nvidia jetson. Hi according to github dusty nv jetson inference.

Have a jetson project to share. Every month we ll award one project with a jetson agx xavier developer kit that s a cut above the rest for its application inventiveness and creativity. Nvidia jetson nano board 99 usd these are currently hard to get and regularly out of stock. Now your jetson nano is ready to do face recognition with full cuda gpu acceleration.

Post it on our forum for a chance to be featured here too. February 1 2020 4 57am 1. Nvidia jetson nano is a s ingle board computer for computation intensive embedded applications that includes a 128 core maxwell gpu and a quad core arm a57 64 bit cpu. In which opencv frontal face xml is used crop the face and encode the facial features in 128 vectors and train and store it in a pickle file and use it compare with the input faces.

So always keep an eye on the version of these packages. It runs a customized ubuntu 18 04 called linux4tegra for the tegra series chips powering the nvidia jetson modules. Face recognition on jetson tx1 with nvidia digits. Also the single board computer is very suitable for the deployment of neural networks from the computer vision domain since it provides 472 gflops of fp16 compute performance with 5 10w of power consumption.

Jetson embedded systems. The jetson nano developer kit which houses the nano module accessories pinouts and ports is ready to use out of the box. Until then build dlib the above way. So if the dlib package s performance improves the face recognition s performance will be automatically improves.

If you are using nvidia jetson nano tx1 2 xavier with jetpack 4 4 most needed packages should be installed if the jetson was correctly flashed using sdk manager or the sd card image you will only need to install cmake openblas and tensorflow. Nano quick start guide with facial recognition opencv 4 1 contrib lib on jetson duration. I used the one of face recognition tutorial by pyimage search.