Quick Demo

demo applications built we can run our first model. If you go ahead and change directory to the build directory, you can run the included detectnet-console demo application. This accepts an image as input, and outputs a list of coordinates of the detected bounding boxes. You’ll need to specify a pre-trained model as the third argument.

First time you run a model you may assume that the code has hung and it’s not working. I know I did, because it’s more than “a few minutes.”

git clone https://github.com/dusty-nv/jetson-inference

cd jetson-inference

git submodule update --init

mkdir build

cd build

cmake ../

make

sudo make install

cd ~/jetson-inference/build/aarch64/bin

./detectnet-console ~/dog.jpg out.jpg coco-dog

Hello World

The inference portion of Hello AI World - which includes coding your own image classification application for C++ or Python, object detection, and live camera demos - can be run on your Jetson in roughly two hours or less

https://github.com/dusty-nv/jetson-inference/blob/master/README.md