Get started with object detection using a Jetson Orin Nano
Introduction
Set up your Jetson Orin Nano
Launch the image classification Docker container
Detect objects in video and images
Next Steps
Get started with object detection using a Jetson Orin Nano
Download and run the image classification Docker container
Run the command below to download and run the container:
git clone --recursive --depth=1 https://github.com/dusty-nv/jetson-inference
cd jetson-inference
docker/run.sh
Learn some useful Docker commands
If you are not familiar with Docker, there are some useful commands you should know.
Run them in a terminal (not from inside the running container).
Get the Container ID
Print the ID of the container:
sudo docker ps -q
The container ID is a hex number such as 174055df45cd
Copy files into and out of a Docker container
You can use the container ID to identify the container for copying files.
Copy to the container:
# sudo docker cp foo.txt container_id:foo.txt
sudo docker cp ./jas.jpeg 174055df45cd:jetson-inference/build/aarch64/bin/images/jas.jpeg
Copy from the container is the same, but in reverse:
# sudo docker cp container_id:/foo.txt foo.txt
sudo docker cp 174055df45cd:jetson-inference/build/aarch64/bin/images/test/jas-output.jpeg ./jas-output.jpeg
Stop and start the Docker container
To stop:
sudo docker stop <container ID>
To start it up again:
# inside the cloned jetson-inference directory
docker/run.sh