From 7dbca1482c910a92ad7a80097102e486c1d6b190 Mon Sep 17 00:00:00 2001 From: FTC Engineering Date: Fri, 30 Oct 2020 10:13:38 -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 4fb1c76..060377f 100644 --- a/Using-a-TensorFlow-Pretrained-Model-to-Detect-Everyday-Objects.md +++ b/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 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.

[[/images/Using-a-TensorFlow-Pretrained-Model-to-Detect-Everyday-Objects/makeListFromText.png]]
A Blocks programmer would have to manually enter in the label values using the "make list from text" block.