~~NOTOC~~

====== Rolf's Personal Playground ======

===== Jetson AI Fundamentals (Dana Sheahen) =====

2021-03-20, Material of Dana Sheahen

https://courses.nvidia.com/courses/course-v1:DLI+S-RX-02+V2/info

https://blogs.nvidia.com/blog/2016/07/29/whats-difference-artificial-intelligence-machine-learning-deep-learning-ai/

  * Install JetPack 4.5.1 on SD card
  * Get the right Docker container. The list of different software combinations can be found here: \\ https://ngc.nvidia.com/catalog/containers/nvidia:dli:dli-nano-ai

{{https://dli-lms.s3.amazonaws.com/data/c-rx-02/images/jupyter_legend.png?400&direct}} \\
//Fig.: JupyterLab Interface.// Source: NVIDIA Course [[https://courses.nvidia.com/courses/course-v1:DLI+S-RX-02+V2/info|Getting Started with AI on Jetson Nano]], Dana Sheahen
==== Get / run Docker Image ====

===USB Cam Version===
<code>
sudo docker run --runtime nvidia -it --rm --network host \
    --volume ~/nvdli-data:/nvdli-nano/data \
    --device /dev/video0 \
    nvcr.io/nvidia/dli/dli-nano-ai:v2.0.1-r32.5.0

# PW: dlinano
</code>



===CSI Cam Version===
<code>
# Two CSI cams version! video0, video1
sudo docker run --runtime nvidia -it --rm --network host \
    --volume ~/nvdli-data:/nvdli-nano/data \
    --volume /tmp/argus_socket:/tmp/argus_socket \
    --device /dev/video0 \
    --device /dev/video1 \
    nvcr.io/nvidia/dli/dli-nano-ai:v2.0.1-r32.5.0
    
# PW: dlinano
</code>

==== Change Keyboard Configuration on Console. Important! ====

Before you change the boot target (aka runlevel) to multi-user.target, i.e. without GUI, you should change the keyboard configuration first in case you are not using an English keyboard layout. A wrong keyboard layout can cause a lot of trouble. It can even prevent you from logging in when your password is using characters affected by the layout configuration.

Open a terminal window and execute '' sudo dpkg-reconfigure keyboard-configuration''.

Test it on a tty terminal, too, because that is what you get if you change the runlevel to other than graphical.

Press ''<crtl> + <alt> + '1' ''  to get to a tty terminal. Test your credentials. A wrong keyboard layout may compromise your password typing.

==== Change target / runlevel ====

<code>
systemctl get-default 

# change target of current session
systemctl isolate multi-user.target 
# systemctl isolate graphical.target # Use this to get back to graphical mode

# set default target
systemctl set-default multi-user.target
# systemctl set-default graphical.target # Use this to get back to graphical mode

</code>


====== Kitchen Experiments (2021-01-27) ======


===== Running the 'Hello AI World' Examples (Repo jetson-inference) =====
 
Software by **Dustin Franklin**, NVIDIA: https://github.com/dusty-nv/jetson-inference

For his examples I am using **Jetpack 4.5**

==== Start Docker Container ====

Input Streams are listed here:

 * [[https://github.com/dusty-nv/jetson-inference/blob/master/docs/aux-streaming.md|Video Streaming]], camera settings, devices, input streams

The **cameras must be connected before starting the docker container**. The docker image detects the connected cams during the start phase.

<code>
cd jetson-inference
docker/run
</code>

It starts the docker container as an interactive session.

==== First camera test: video-viewer ====

Inside the running docker container instance the application video-viewer can be executed on the command line. It connects to the camera device defined in the first command line argument and opens a view port (window) to show the camera stream. 


<code>
# My Jetson Nano 4BG B01 kit has two cams connected via flex flat band cable (ffc) 
video-viewer csi://0 
video-viewer csi://1 

video-viewer csi://0 & video-viewer csi://1 

# External USB cam is enumerated as video2
video-viewer v4l2:///dev/video2
</code>


==== Object Detection ====

<code>
python3 my-detection_video2.py
</code>


{{ workshops:nvidia_jetson:jetson:playground:rolf:desk_setup_img_20210127_230325.jpg?direct&600 |}}

{{ workshops:nvidia_jetson:jetson:playground:rolf:object_detection_img_20210127_230454.jpg?direct&600 |}}

{{ workshops:nvidia_jetson:jetson:playground:rolf:object_detection_vid_20210127_230401.mp4 |}}
==== Semantic Segmentation ====

<code>
segnet --network=fcn-resnet18-mhp /dev/video2
</code>


===== Headless with Xfce4 =====

**Alternative to remote desktop!** Usually remote desktop clients require a full desktop environment including connected monitor(!) which can be controlled remotely. I don't like it!

Let's go for some terminal based X11 solution!


  * https://opensource.com/article/21/1/remote-configuration-xfce4
  * [[https://www.jetsonhacks.com/2020/11/07/save-1gb-of-memory-use-lxde-on-your-jetson/|Save 1GB of Memory! Use LXDE on your Jetson]], by Jim from JetsonHacks

{{youtube>9bACmWg0bvs?medium}}

===== TTY Console Keyboard =====

Press ''<alt>-<ctrl> F2'' get a tty terminal. You may have to press <enter> to activate the screen.

login.

Then call ''localectl'' to list all locale tettings. In order to change the keyboard to German execute:

<code>
locale set-keymap de
</code> 

When you login the next time the keyboard map is changed. Check it again with ''localectl''.

''VC Keymap: de'' should be set now.

===== Change the Desktop Environment =====

<code>
sudo -i
service --status-all
dpkg-reconfigure lightdm
# dpkg-reconfigure gdm3
</code>



===== Jetson Nano B01 - Dual RPi Cameras + how to get faster frame rates =====

Dual Cam Multi-Threading, Haar Face Detector


{{youtube>GQ3drRllX3I?medium}}

https://youtu.be/GQ3drRllX3I

===== Headless =====

https://www.digitalocean.com/community/tutorials/how-to-install-and-configure-vnc-on-ubuntu-18-04

https://www.tightvnc.com/download.php

https://freundschafter.com/research/how-to-install-xfce-and-vnc-on-a-headless-ubuntu-18-04/


==== Old ====

CompuLab Display Emulator (fit-Headless)

This emulator appears to the Jetson to be a HDMI monitor. X11 and the desktop 

Allow X without HDMI at Boot:

<code>
Edit /etc/X11/xorg.conf

Section "Device"
...
...
Option "AllowEmptyInitialConfiguration" "true"
EndSection
</code>

Which will allow X11 to startup without a monitor attached.

Source: https://www.jetsonhacks.com/2016/05/03/jetson-allow-graphics-without-hdmi/


===== Boot Targets aka Runlevel =====

Source: https://www.tecmint.com/change-runlevels-targets-in-systemd/

  * Run level 0 is matched by poweroff.target (and runlevel0.target is a symbolic link to poweroff.target).
  * Run level 1 is matched by rescue.target (and runlevel1.target is a symbolic link to rescue.target).
  * Run level 3 is emulated by multi-user.target (and runlevel3.target is a symbolic link to multi-user.target).
  * Run level 5 is emulated by graphical.target (and runlevel5.target is a symbolic link to graphical.target).
  * Run level 6 is emulated by reboot.target (and runlevel6.target is a symbolic link to reboot.target).
  * Emergency is matched by emergency.target.

<code>
systemctl get-default 

# change target of current session
systemctl isolate multi-user.target 
systemctl isolate graphical.target

# set default target
systemctl set-default multi-user.target
systemctl set-default graphical.target

</code>