From 16b5c77057f6207514d59f97c9176ccffe35fe71 Mon Sep 17 00:00:00 2001 From: FTC Engineering Date: Thu, 29 Oct 2020 21:31:11 -0400 Subject: [PATCH] Updated Using TensorFlow Lite for the Ultimate Goal Challenge (markdown) --- Using-TensorFlow-Lite-for-the-Ultimate-Goal-Challenge.md | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/Using-TensorFlow-Lite-for-the-Ultimate-Goal-Challenge.md b/Using-TensorFlow-Lite-for-the-Ultimate-Goal-Challenge.md index c39a945..76f3de5 100644 --- a/Using-TensorFlow-Lite-for-the-Ultimate-Goal-Challenge.md +++ b/Using-TensorFlow-Lite-for-the-Ultimate-Goal-Challenge.md @@ -31,4 +31,10 @@ The FTC software includes sample op modes (Blocks and Java versions) that demons * [Using a Custom TensorFlow Model with Blocks](Using-a-Custom-TensorFlow-Model-with-Blocks) * [Using a Custom TensorFlow Model with Java](Using-a-Custom-TensorFlow-Model-with-Java) +### Detecting Everyday Objects +You can use a pretrained TensorFlow Lite model to detect everyday objects, such as a clock, person, computer mouse, or cell phone. The following advanced tutorial shows how you can use a free, pretrained model to recognize numerous everyday objects. + +* [Using a TensorFlow Pretrained Model to Detect Everyday Objects](Using-a-TensorFlow-Pretrained-Model-to-Detect-Everyday-Objects) + +

[[/images/Using-a-TensorFlow-Pretrained-Model-to-Detect-Everyday-Objects/tfliteDemo.png]]
TensorFlow can be used to recognize everyday objects like a keyboard, a clock, or a cellphone.

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