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Updated Using TensorFlow Lite for the Ultimate Goal Challenge (markdown)

FTC Engineering
2020-10-28 12:47:49 -04:00
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Using-TensorFlow-Lite-for-the-Ultimate-Goal-Challenge.md

@ -24,7 +24,7 @@ Click on the following links to learn more about these sample Op Modes.
* [Java Tensor Flow Object Detection Example](Java-Sample-TensorFlow-Object-Detection-Op-Mode) * [Java Tensor Flow Object Detection Example](Java-Sample-TensorFlow-Object-Detection-Op-Mode)
### Using a Custom Inference Model ### Using a Custom Inference Model
Teams have the option of using a customer inference model with the FIRST Tech Challenge software. For example, some teams prefer to use the [TensorFlow Object Detection API](https://github.com/tensorflow/models/tree/master/research/object_detection) to create an enhanced model of the game elements, or they might want to create a custom model to detect other entirely different objects. Other teams might also want to use an available pre-trained model to build a robot that can detect common everyday objects (for demo or outreach purposes, for example). Teams have the option of using a custom inference model with the FIRST Tech Challenge software. For example, some teams prefer to use the [TensorFlow Object Detection API](https://github.com/tensorflow/models/tree/master/research/object_detection) to create an enhanced model of the game elements, or they might want to create a custom model to detect other entirely different objects. Other teams might also want to use an available pre-trained model to build a robot that can detect common everyday objects (for demo or outreach purposes, for example).
The FTC software includes sample op modes (Blocks and Java versions) that demonstrate how to use a custom inference model: The FTC software includes sample op modes (Blocks and Java versions) that demonstrate how to use a custom inference model: