From 1c19d7f94f87e5761182652cf1872f1b3e42e010 Mon Sep 17 00:00:00 2001 From: FTC Engineering Date: Thu, 29 Oct 2020 18:47:13 -0400 Subject: [PATCH] Updated Using a TensorFlow Pre trained Model to Detect Everyday Objects (markdown) --- ...ensorFlow-Pre-trained-Model-to-Detect-Everyday-Objects.md | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/Using-a-TensorFlow-Pre-trained-Model-to-Detect-Everyday-Objects.md b/Using-a-TensorFlow-Pre-trained-Model-to-Detect-Everyday-Objects.md index f1d3da0..c253d97 100644 --- a/Using-a-TensorFlow-Pre-trained-Model-to-Detect-Everyday-Objects.md +++ b/Using-a-TensorFlow-Pre-trained-Model-to-Detect-Everyday-Objects.md @@ -1 +1,4 @@ -Teams have the option of using a custom TensorFlow Lite object detection model that was trained to detect objects other than the current season's game elements. This tutorial demonstrates how use a pretrained \ No newline at end of file +### Introduction +Teams have the option of using a custom TensorFlow Lite object detection model that was trained to detect objects other than the current season's game elements. This tutorial demonstrates how use a pretrained model to look for and track everyday objects. This particular tutorial uses the OnBot Java programming tool, but teams can also use Android Studio or the Blocks programming tool to implement this example op mode. + +This tutorial assumes that you have already completed the steps in [this Java tutorial](Using-a-Custom-TensorFlow-Model-with-Java). If you have not yet completed the steps in the [previous Java tutorial](Using-a-Custom-TensorFlow-Model-with-Java), then please do so before continuing with this tutorial.