THIS PROJECT IS DISCONTINUED.

After rebuilding this project into a library named CJ-Vision. This has now been archived

Vision-Tracking-Format

A simple vision tracking format to use and create other programs with, by deafult it should be somewhat setup for the 2019 FRC game Deep Space

Vision Tracking Documentation.

All Vision Tracking code is located in the folder Vision

Getting started

1. Grab the image:

• Tinkerboard Image
  • Make sure you use version 2.0.8! v1.8 doesn't work with some USB cameras (nor the Kinect) due to a kernel problem.
• Raspberry Pi

2. Flash the image onto a microsd card using etcher: https://etcher.io/

• You will need to grab the .img file from the zip. The .img file is what you give to etcher.
• After complete, insert the microSD card and startup the coprocessor. It may take a minute or two.

3. SSH into the Coprocessor

• On Mac/Linux, use ssh username@hostname
• On Windows, download puTTY and use that.
• Tinkerboard:
  • Hostname: tinkerboard, Username: linaro, Password: linaro
• Raspberry Pi:
  • Hostname: raspberrypi, Username: pi, Password: raspberry

4. Run the following command:

• wget --no-check-certificate -qO - https://github.com/CurtinFRC/ModularVisionTracking/blob/master/vision/bootstrap.sh?raw=1 | bash

5. Your Coprocessor will now restart

6. Run your code locally on your computer using (.\gradlew :vision:runvision or simply type .\gradlew runvision)

7. Deploy ./gradlew :vision:deploy (./gradlew :vision:deploy -Praspberry for the Raspberry Pi) to deploy your code!