From 4c29a283481194b01b16387e4cb3873b03574624 Mon Sep 17 00:00:00 2001 From: FTC Engineering Date: Thu, 29 Oct 2020 21:01:44 -0400 Subject: [PATCH] Updated Using a TensorFlow Pretrained Model to Detect Everyday Objects (markdown) --- ...-a-TensorFlow-Pretrained-Model-to-Detect-Everyday-Objects.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Using-a-TensorFlow-Pretrained-Model-to-Detect-Everyday-Objects.md b/Using-a-TensorFlow-Pretrained-Model-to-Detect-Everyday-Objects.md index d009d5d..94ab541 100644 --- a/Using-a-TensorFlow-Pretrained-Model-to-Detect-Everyday-Objects.md +++ b/Using-a-TensorFlow-Pretrained-Model-to-Detect-Everyday-Objects.md @@ -209,7 +209,7 @@ Modify the initTfod() method to load the inference model from a file (rather tha ``` ### Running the Op Mode -Once you have made the changes to the sample op mode, rebuild the OnBot Java op modes and run the op mode to test it. The robot controller should now be able to detect everyday objects such as a cell phone, a teddy bear, a clock, a computer mouse, and a keyboard and will draw boundary boxes around recognized objects on the robot controller. +Once you have made the changes to the sample op mode, rebuild the OnBot Java op modes and run the op mode to test it. The robot controller should now be able to detect everyday objects such as a cell phone, a teddy bear, a clock, a computer mouse, and a keyboard and will draw boundary boxes around recognized objects on the robot controller. You can get a full list of known objects by looking at the contents of the label map text file.

[[/images/Using-a-TensorFlow-Pretrained-Model-to-Detect-Everyday-Objects/tfodRC.png]]
TensorFlow will recognize everyday objects like a cell phone.