Updated Using TensorFlow Lite for the Ultimate Goal Challenge (markdown)
@ -4,7 +4,7 @@
|
||||
### How would you use TensorFlow in the Ultimate Goal Challenge?
|
||||
For this season's challenge, during the pre-Match stage a die is rolled and the field is randomized.
|
||||
|
||||
<p align="center">[[/images/Blocks-Sample-TensorFlow-Object-Detection-Op-Mode/randomization.png]]<br/>Create an Op Mode with ConceptTensorFlowObjectDetection as its template.<p>
|
||||
<p align="center">[[/images/Blocks-Sample-TensorFlow-Object-Detection-Op-Mode/randomization.png]]<p>
|
||||
|
||||
When the autonomous stage of the match begins, a robot can use TensorFlow to "look" at the Starter Stack Area and determine how many (if any) rings are stacked in that area. Based on the number of rings that it "sees" the robot can deliver its wobble goal to the appropriate target zone to score additional points during the autonomous portion of the match.
|
||||
|
||||
|
Reference in New Issue
Block a user