Difference between revisions of "FTC CanDo With TensorFlow 20220513"
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== Bases on xxx == | == Bases on xxx == | ||
| − | * | + | * [https://github.com/edcepp/FTCEppTensorCode/blob/master/FTCEppTensorCode/TestTensorFlowObjectDetectionWebcamEpp.java TestTensorFlowObjectDetectionWebcamEpp.java] |
== Integrated == | == Integrated == | ||
* TensorFlowCanDo TDB | * TensorFlowCanDo TDB | ||
Revision as of 07:21, 13 May 2022
Contents
Added Machine Learning Capability
TBD
References
Tutorial Videos
- Tutorial - Using TensorFlow to detect game pieces in First Tech Challenge (FTC) robot competitions and explore Machine Learning
- Locate Gold Mineral And Push Demo Video
Epp TensorFlow Projects
- [1]
- FTC Epp TensorCode
- IEEE TryEnginering resource page Links to the same tutorial above.
Code
Based on Version 6 of CanDo and
- CanDo06.java for the May lab.
- For details see FTC_A_Hint_of_CanDo_-_TBD_20220422#Version_6_Add_Reverse_and_Turn
Bases on xxx
Integrated
- TensorFlowCanDo TDB
