https://github.com/pie-cubed/2023-jetson-code

The code for FRC 2199's (the Robo-Lions') Nvidia Jetson coprocessor.
https://github.com/pie-cubed/2023-jetson-code

apriltags frc opencv opencv-python python

Last synced: about 1 month ago
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The code for FRC 2199's (the Robo-Lions') Nvidia Jetson coprocessor.

• Host: GitHub
• URL: https://github.com/pie-cubed/2023-jetson-code
• Owner: PIE-Cubed
• License: mit
• Created: 2022-12-29T03:30:03.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2023-04-17T00:21:54.000Z (about 3 years ago)
• Last Synced: 2025-06-04T13:28:46.238Z (about 1 year ago)
• Topics: apriltags, frc, opencv, opencv-python, python
• Language: Python
• Homepage:
• Size: 126 KB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
 2023-Jetson-Code 



	A repository that contains code to will run on FRC 2199's Nvidia Jetson Nano coprocessor during the 2023 season.



 Setting Up the Jetson 



	Please see the instructions here for setting up a Nvidia Jetson Nano.



 Prerequisites 



	


		
A Python 3 environment (prefereably 3.10.8)

		
The OpenCV Contributor package

		
The NumPy package (should install with pupil-apriltags)

		
The RobotPy package

		
The Transforms3d package

		
The Pupil Apriltags package

	


 How to install on Linux 



    On linux run the following commands in order from terminal:

    sudo apt install python3 python3-dev python3-pip python3-pil python3-smbus git cmake ninja-build





    pip install -U pip wheel setuptools transforms3d opencv-contrib-python pupil-apriltags robotpy[cscore]



 How to install on Windows: 



    Install Python 3.10.8 for Windows, being sure to add Python to PATH. Then, install the required packages using this command:

    

    pip install -U pip wheel setuptools transforms3d opencv-contrib-python pupil-apriltags robotpy[cscore]



 Writing Programs for Jetson 



	This is addressed in the repository's wiki at https://github.com/PIE-Cubed/2023-Jetson-Code/wiki.



 More details 



	If you'd like to learn more, all of these sections (and more!) will be explained in greater detail in the repository's wiki at https://github.com/PIE-Cubed/2023-Jetson-Code/wiki.