MoonBlvd / jetson-detectors

Contains examples and documentation on how to setup your remote development environment from your Windows host to a Jetson device

High Throuput Object detector for the Nvidia Jetson device family

This is the code used in this blog post to demonstrate different ways of improving the performance of a simple Object Detection program.

Clone the example repo

https://github.com/paloukari/jetson-detectors
cd jetson-detectors

To build and run the CPU accelerated container

sudo docker build . -f ./docker/Dockerfile.cpu -t object-detection-cpu
sudo docker run --rm --runtime nvidia --privileged -ti -e DISPLAY=$DISPLAY -v "$PWD":/src -p 32001:22 object-detection-cpu

To build and run the GPU accelerated container

sudo docker build . -f ./docker/Dockerfile.gpu -t object-detection-gpu
sudo docker run --rm --runtime nvidia --privileged -ti -e DISPLAY=$DISPLAY -v "$PWD":/src -p 32001:22 object-detection-gpu

Run from the root folder of the repo