~~NOTOC~~

====== Hello Object Detection ======

===== Get jetson-inference repository =====
  $ cd
  $ git clone --recursive https://github.com/dusty-nv/jetson-inference

===== Create workspace =====

  $ mkdir jetson_ws

===== Run the container =====

Go inside the jetson-inference repository

  $ cd ~/jetson-inference
  $ docker/run.sh --volume /home/jetson/jetson_ws:/jetson-inference/jetson_ws

===== Code =====

<file python helloai.py>
import jetson.inference
import jetson.utils

net = jetson.inference.detectNet("ssd-mobilenet-v2", threshold=0.5)
camera = jetson.utils.gstCamera(1280, 720, "/dev/video0")
display = jetson.utils.glDisplay()

while display.IsOpen():
	img, width, height = camera.CaptureRGBA()
	detections = net.Detect(img, width, height)
	display.RenderOnce(img, width, height)
	display.SetTitle("Title")
</file>

===== Re-build the container or build your own =====

==== Set NVIDIA Container Runtime for Docker ====

in the file ''/etc/docker/daemon.json'' set the ''default-runtime'' to ''nvidia'' by adding the following json code:

<code javascript>
{
    "runtimes": {
        "nvidia": {
            "path": "nvidia-container-runtime",
            "runtimeArgs": []
        }
    },

    "default-runtime": "nvidia"
}
</code>

==== Build the container =====

  $ docker/build.sh