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Add multiple links to FTC Machine Learning toolchain

Westside Robotics
2021-11-19 08:45:42 -08:00
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FTC-Webcam-Controls.md

@ -125,7 +125,7 @@ Full details are described in the [GainControl Javadoc](https://javadoc.io/stati
We interrupt this tutorial to demonstrate the two webcam interfaces described so far: ExposureControl and GainControl.
These 2 examples assume you are already using TensorFlow Object Detection (TFOD) in the Freight Frenzy game. Namely you have a TFOD model and OpMode that are working reasonably well. The model may have been supplied with the FTC SDK, or created with the [FTC Machine Learning toolchain](https://ftc-ml.firstinspires.org/).
These 2 examples assume you are already using TensorFlow Object Detection (TFOD) in the Freight Frenzy game. Namely you have a TFOD model and OpMode that are working reasonably well. The model may have been supplied with the FTC SDK, or created with the **FTC Machine Learning toolchain** [[forum]](https://community.ftclive.org/) [[guide]](https://github.com/FIRST-Tech-Challenge/fmltc/blob/main/doc/usage.md) [[source]](https://github.com/FIRST-Tech-Challenge/fmltc).
Here we will discuss only the Duck game element. **Can the exposure and/or gain controls improve the chance of a fast, accurate TFOD detection?**