Understand the Existing System Framework: Unterschied zwischen den Versionen

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Evrard.leuteu-feukeu@stud.hshl.de (Diskussion | Beiträge)
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Evrard.leuteu-feukeu@stud.hshl.de (Diskussion | Beiträge)
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! # !! Name !! Download !! Description !!  command
! # !! Name !! Download !! Description !!  command
|-
|-
| 1 || install sdl1.2 version. ||  || || <code> sudo apt-get update</code>    <code>sudo apt-get install libsdl1.2-dev</code>
| 1 || install sdl1.2 version. ||  || Cuda development libraries || <code> sudo apt-get update</code>    <code>sudo apt-get install libsdl1.2-dev</code>
|-
|-
| 2 || Install the CUDA repo metadata || Link [https://elinux.org/Jetson/Installing_CUDA] || If There's any package error, use this link [https://forums.developer.nvidia.com/t/solution-dpkg-error-processing-package-nvidia-l4t-bootloader-configure/208627]  ||  
| 2 || Install the CUDA repo metadata || Link [https://elinux.org/Jetson/Installing_CUDA] || If There's any package error, use this link [https://forums.developer.nvidia.com/t/solution-dpkg-error-processing-package-nvidia-l4t-bootloader-configure/208627]  ||  
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[[Datei:CuDDN.jpg|mini]]
[[Datei:CuDDN.jpg|mini]]
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| 4 || add Path||      ||  ||     echo "# Add CUDA bin & library paths:" >> ~/.bashrc
| 4 || add Path||      || it should look like this[https://wiki.hshl.de/wiki/index.php/Datei:Screenshot_2024-07-18_144029.jpg] ||  
    echo "export PATH=/usr/local/cuda/bin:$PATH" >> ~/.bashrc
  # Add CUDA bin & library paths
    echo "export LD_LIBRARY_PATH=/usr/local/cuda/lib:$LD_LIBRARY_PATH" >> ~/.bashrc
  export PATH=/usr/local/cuda-10.2/bin:$PATH
    source ~/.bashrc
  export LD_LIBRARY_PATH=/usr/local/cuda-10.2/lib64:$LD_LIBRARY_PATH
  source ~/.bashrc


|-
|-
| 5 || install sdl1.2 version. ||  || || <code> sudo apt-get update</code>    <code>sudo apt-get install libsdl1.2-dev</code>
| 5 || nvcc errors ||  || Here were the errors i had and thiere solutions [https://wiki.hshl.de/wiki/index.php/Diskussion:JetRacer:_Spurführung_mit_künstlicher_Intelligenz] ||
|-
| 6 || [Install the CUDA ||  ||  || <code> sudo apt-get update</code> <code>sudo dpkg -i cuda-repo-l4t-r19.2_6.0-42_armhf.deb</code>
|}
|}

Version vom 2. Mai 2025, 12:03 Uhr

Hardware Setup And Requirement

Tabelle 1: Software and Hardware Requirements
# Name Description
1 External PC Matlab will be installed and Gpu for training
2 Jetracer TX1 Camera senor, game pad, AI chip, external monitor, mouse and keyboard (to access the software)
3 SD Card 16Gb SD-cerd and SD-card reader
4 Matlab Version compatible with cuda 10.2 [[1]]
5 Jetpack SDK 4.6.1 Flash software with balenaEtcher on SD-cerd

Setup

  • For the setup of Jetracer hardware it can be easily done following the manual [2], [[3]] and assemble it [4] .
  • For MAtlab, install the following AdOns:


Connect MATLAB & JETRACER

Jetracer Setup

  • Connect JETRACER with a computer with HDMI, mouse, ethernet cable and keyboard.
  • It will bring default Linux version and keep procced to setup. Keep username = jetracer & password = jetson during setup.
  • After setup open the command window and give command ifconfig to get the Ip address of Jetracer.
  • If connection is via WLAN the Ip will change and change accordingly.
  • Install puTTY on pc to use SSH key


Library to be installed

  • Install the following adons in matlab
Tabelle 2: Matlab Setup Requirements
# Name Description
1 Matlab Adons installation
  • Download and open the terminal locally or on puTTY to install these libraries :
Tabelle 2: Download And Installation Requirements
# Name Download Description command
1 install sdl1.2 version. Cuda development libraries sudo apt-get update sudo apt-get install libsdl1.2-dev
2 Install the CUDA repo metadata Link [5] If There's any package error, use this link [6]
3 Install "CuDNN" cuDNN link[7] CuDNN link[8]
4 add Path it should look like this[9]
  # Add CUDA bin & library paths
  export PATH=/usr/local/cuda-10.2/bin:$PATH
  export LD_LIBRARY_PATH=/usr/local/cuda-10.2/lib64:$LD_LIBRARY_PATH
  source ~/.bashrc
5 nvcc errors Here were the errors i had and thiere solutions [10]