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

FTC Engineering
2020-10-21 18:16:25 -04:00
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Using-TensorFlow-Lite-for-the-Ultimate-Goal-Challenge.md

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For this season's challenge, the inference model was trained to recognize a single Ultimate Goal ring. The model was also trained to recognize a stack of four rings. This was done since it is easier to train a model to distinguish between a single and quadruple ring stack, rather than training a model that can reliably distinguish the individual rings of a multi-ring stack. For this season's challenge, the inference model was trained to recognize a single Ultimate Goal ring. The model was also trained to recognize a stack of four rings. This was done since it is easier to train a model to distinguish between a single and quadruple ring stack, rather than training a model that can reliably distinguish the individual rings of a multi-ring stack.
### 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. For this season's challenge, during the pre-Match stage a single die is rolled and the field is randomized.
<p align="center">[[/images/Blocks-Sample-TensorFlow-Object-Detection-Op-Mode/randomization.png]]<p> <p align="center">[[/images/Blocks-Sample-TensorFlow-Object-Detection-Op-Mode/randomization.png]]<p>