From 911dd852aa0d4c18593103f9b1469f1bff1a5d90 Mon Sep 17 00:00:00 2001 From: FTC Engineering Date: Tue, 27 Oct 2020 09:09:45 -0400 Subject: [PATCH] Updated Blocks Sample TensorFlow Object Detection Op Mode (markdown) --- Blocks-Sample-TensorFlow-Object-Detection-Op-Mode.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Blocks-Sample-TensorFlow-Object-Detection-Op-Mode.md b/Blocks-Sample-TensorFlow-Object-Detection-Op-Mode.md index 26ac755..8a8f5c7 100644 --- a/Blocks-Sample-TensorFlow-Object-Detection-Op-Mode.md +++ b/Blocks-Sample-TensorFlow-Object-Detection-Op-Mode.md @@ -81,7 +81,7 @@ If you are using a webcam with your Robot Controller, then the camera orientatio Note that for the Ultimate Goal presented by QualComm Challenge, the default TensorFlow inference model is optimized for a camera in landscape mode. This means that it is better to orient your camera in landscape mode if you use this default inference model because you will get more reliable detections. -In our example, if you execute the TensorFlowObjectDetection.initialize block while the phone is in Portrait mode, then the images will be processed in Portrait mode. +In our example, if you execute the TensorFlowObjectDetectionUltimateGoal.initialize block while the phone is in Portrait mode, then the images will be processed in Portrait mode.

[[/images/Blocks-Sample-TensorFlow-Object-Detection-Op-Mode/tfodPortrait.png]]
If you initialize the detector in Portrait mode, then the images are processed in Portrait mode.