Difference between revisions of "FTC CanDo With TensorFlow 20220513"
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== Exercise 1 == | == Exercise 1 == | ||
| − | * Test recognition | + | * Test recognition for a gold cube under |
** Various lighting | ** Various lighting | ||
** Orientations | ** Orientations | ||
** Distances | ** Distances | ||
Revision as of 07:27, 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
Exercises
Exercise 1
- Test recognition for a gold cube under
- Various lighting
- Orientations
- Distances
