Using Computer Vision in FTC - ftctechnh/FtcRobotController GitHub Wiki

Teams who compete in the FIRST Tech Challenge (FTC) can use computer vision (CV) to help their robots navigate autonomously during a match. The FTC software can "grab" images from a camera and use these images to look for and track objects on the field.

This tutorial provides information about how you can use the computer vision libraries that are included with the FTC control system software:

• Computer Vision Overview - This section provides a basic overview of the CV technologies that are included with the FTC software. It also compares the strengths and weaknesses of the respective technologies.
• Vuforia for Blocks - This section demonstrates how you can use Vuforia and Blocks to detect and track image targets in the FIRST Tech Challenge.
• TensorFlow for Blocks - This section demonstrates how you can use TensorFlow and Blocks to detect and track game elements in the FIRST Tech Challenge.