From deaeaa7f909e0a7c37d2638efd1e29f0545e55c5 Mon Sep 17 00:00:00 2001 From: Westside Robotics Date: Fri, 22 Oct 2021 11:57:56 -0700 Subject: [PATCH] Added header link to Freight Frenzy update. --- Using-TensorFlow-Lite-for-the-Ultimate-Goal-Challenge.md | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/Using-TensorFlow-Lite-for-the-Ultimate-Goal-Challenge.md b/Using-TensorFlow-Lite-for-the-Ultimate-Goal-Challenge.md index 76f3de5..f6a4a45 100644 --- a/Using-TensorFlow-Lite-for-the-Ultimate-Goal-Challenge.md +++ b/Using-TensorFlow-Lite-for-the-Ultimate-Goal-Challenge.md @@ -1,3 +1,9 @@ + + +### _**Note:** A Freight Frenzy update to this page is available [**here**](https://github.com/FIRST-Tech-Challenge/FtcRobotController/wiki/Using-TensorFlow-in-Freight-Frenzy)._ + + + ### 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.