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Updated Using a TensorFlow Pretrained Model to Detect Everyday Objects (markdown)

FTC Engineering
2020-10-29 21:01:44 -04:00
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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
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### Running the Op Mode ### 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.
<p align="center">[[/images/Using-a-TensorFlow-Pretrained-Model-to-Detect-Everyday-Objects/tfodRC.png]]<br/>TensorFlow will recognize everyday objects like a cell phone.<p> <p align="center">[[/images/Using-a-TensorFlow-Pretrained-Model-to-Detect-Everyday-Objects/tfodRC.png]]<br/>TensorFlow will recognize everyday objects like a cell phone.<p>