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

FTC Engineering
2020-10-30 10:13:38 -04:00
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Using-a-TensorFlow-Pretrained-Model-to-Detect-Everyday-Objects.md

@ -222,7 +222,7 @@ The op mode will also display label information on the driver station (using tel
### Using Android Studio or the Blocks Development Tool ### Using Android Studio or the Blocks Development Tool
You can also use Android Studio to build and deploy this example op mode if you prefer. The same op mode you would use for OnBot Java can be built using Android Studio. You can also use Android Studio to build and deploy this example op mode if you prefer. The same op mode you would use for OnBot Java can be built using Android Studio.
You can also use this mobilenet TensorFlow model to detect common objects using a Blocks op mode. However, currently the Blocks development tool does not have support for reading in labels from the label map file. Instead, a Blocks programmer must specify the labels in a list using the "make list from text" programming block. You can also use this MobileNet TensorFlow model to detect common objects using a Blocks op mode. However, currently the Blocks development tool does not have support for reading in labels from the label map file. Instead, a Blocks programmer must specify the labels in a list using the "make list from text" programming block.
<p align="center">[[/images/Using-a-TensorFlow-Pretrained-Model-to-Detect-Everyday-Objects/makeListFromText.png]]<br/>A Blocks programmer would have to manually enter in the label values using the "make list from text" block.<p> <p align="center">[[/images/Using-a-TensorFlow-Pretrained-Model-to-Detect-Everyday-Objects/makeListFromText.png]]<br/>A Blocks programmer would have to manually enter in the label values using the "make list from text" block.<p>