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Updated Using a TensorFlow Pre trained Model to Detect Everyday Objects (markdown)

FTC Engineering
2020-10-29 18:50:24 -04:00
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Using-a-TensorFlow-Pre-trained-Model-to-Detect-Everyday-Objects.md

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### 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.
This tutorial assumes that you have already completed the steps in [this TensorFlow tutorial](Using-a-Custom-TensorFlow-Model-with-Java). If you have not yet completed the steps in the [previous TensorFlow tutorial](Using-a-Custom-TensorFlow-Model-with-Java), then please do so before continuing with this tutorial.