From c7585bdda3c1372fab1a1659a5b2c4c7cec38228 Mon Sep 17 00:00:00 2001 From: FTC Engineering Date: Tue, 20 Oct 2020 14:00:07 -0400 Subject: [PATCH] Updated Using TensorFlow Lite for the Ultimate Goal Challenge (markdown) --- Using-TensorFlow-Lite-for-the-Ultimate-Goal-Challenge.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Using-TensorFlow-Lite-for-the-Ultimate-Goal-Challenge.md b/Using-TensorFlow-Lite-for-the-Ultimate-Goal-Challenge.md index df61cbb..b5cb2e1 100644 --- a/Using-TensorFlow-Lite-for-the-Ultimate-Goal-Challenge.md +++ b/Using-TensorFlow-Lite-for-the-Ultimate-Goal-Challenge.md @@ -1,7 +1,7 @@ ### What is a TensorFlow Lite? [TensorFlow Lite](https://www.tensorflow.org/lite/) is a lightweight version of Google's [TensorFlow](https://www.tensorflow.org/) machine learning technology that is designed to run on mobile devices such as an Android smartphone. A _trained TensorFlow model_ was developed to recognize game elements for the 2020-2021 Ultimate Goal presented by QualComm challenge. This TensorFlow model has been integrated into the FIRST Tech Challenge Control System software and can be used to identify and track these game pieces during a match. -### How Might a Team use TensorFlow in the Ultimate Goal Challenge? +### How Might a Team Use TensorFlow in the Ultimate Goal Challenge? For this season's challenge, during the pre-Match stage a die is rolled and the field is randomized.

[[/images/Blocks-Sample-TensorFlow-Object-Detection-Op-Mode/randomization.png]]