### 0. Install NVIDIA Jetson Services:

Ok, let's start by installing NVIDIA Jetson Services:

sudo apt install nvidia-jetson-services

Let's add some performance hacks that will be needed to run the demo faster and without streaming artifacts:

sudo nvpmodel -m 0 
sudo jetson_clocks

After this two commands a reboot is needed, if your Jetson wasn't already in high performance mode.

sudo sysctl -w net.core.rmem_default=2129920
sudo sysctl -w net.core.rmem_max=10000000
sudo sysctl -w net.core.wmem_max=2000000

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### 1. Download NVIDIA CLI for Jetson

Download NGC for ARM64 from: https://ngc.nvidia.com/setup/installers/cli

unzip ngccli_arm64.zip
chmod u+x ngc-cli/ngc
echo "export PATH=\"\$PATH:$(pwd)/ngc-cli\"" >> ~/.bash_profile && source ~/.bash_profile
ngc config set

Here it will ak for your API Key, and the organization name, to get those you need to login into NGC and [generate an API key here](https://ngc.nvidia.com/setup/api-key).

You should then paste the **API key**, and use the **organization-name** you are using, you can also press [Enter] to select the default values for the remaining options. After this, you should get the message:

Successfully saved NGC configuration to /home/jetson/.ngc/config

Then, login with the same API key:

sudo docker login nvcr.io -u "\$oauthtoken" -p <NGC-API-KEY>

Now launch the Redis and Ingress services, as we need them for this tutorial.

sudo systemctl start jetson-redis
sudo systemctl start jetson-ingress

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### 2. Download and launch NVStreamer
###

We need first to install NVStreamer, which is an app that will stream the videos MMJs will need to run AI on them, so follow this
[NVStreamer Link](https://registry.ngc.nvidia.com/orgs/e7ep4mig3lne/teams/release/resources/nvstreamer) (In the top-left, click Download files.zip)

unzip files.zip
rm files.zip
tar -xvf nvstreamer.tar.gz
cd nvstreamer

Launch it:

sudo docker compose -f compose_nvstreamer.yaml up -d  --force-recreate

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### 3. Download AI_NVR and launch:
###
[AI NVR (NGC) Link](https://registry.ngc.nvidia.com/orgs/e7ep4mig3lne/teams/release/resources/ai_nvr) (Top-left -> Download files.zip)

unzip files.zip
rm files.zip
tar -xvf ai_nvr.tar.gz
sudo cp ai_nvr/config/ai-nvr-nginx.conf /opt/nvidia/jetson/services/ingress/config/
cd ai_nvr
sudo docker compose -f compose_agx.yaml up -d --force-recreate

### 4. Download some sample videos and upload them to NVStreamer
###
Download them from [here](https://registry.ngc.nvidia.com/orgs/e7ep4mig3lne/teams/release/resources/sample-videos).

unzip files.zip

Ok, now, this is important to understand, there are **2 web interfaces**:
1. The NVStream Streamer Dashboard, running in: http://localhost:31000
2. The NVStreamer Camera Management Dashboard, running in: http://localhost:30080/vst

So, first we need to upload the file in the Streamer interface, it looks like this:

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There, go to **File Upload**, and drag and drop the file in the **upload squared area**.

After uploading it, go to the Dashboad option of the left menu, and copy the **RTSP URL** of the video you just uploaded, you will need it for the Camera Management Dashboard.

Now jump to the Camera Management Dashboard (http://localhost:30080/vst), it looks like this:

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Go to the **Camera Management** option of the menu, then use the **Add device manually** option, and paste the **RTSP URL**, add the name of your video to the **Name** and **Location** text boxes, so it will be displayed on top of the stream.

Finally, click in the **Live Streams** option of the left menu, and you should be able to watch your video stream.

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### 5. Watch RTSP AI processed streaming from VLC

Open VLC **from another computer** (localhost doesn't work here), and point to your Jetson Orin's IP address (you should be in the same network, or not having a firewal to access).

The easiest way to get Jetson's ip is launching:

ifconfig

And checking the IP of the interface (usually wlan0, inet IP).

Then go to **rtsp://[JETSON_IP]:8555/ds-test** using VLC like this:

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### 6. Android app

There is an Android app that allows you to track events and create areas of interest to monitor, you can find it on Google Play as AI NVR.


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Here is a quick walkthough where you can see how to:
* Add the IP address of the Jetson
* Track current events
* Add new areas of interest
* Add tripwire to track the flux and direction of events


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