https://github.com/tasrobotics/wheeloffortune
find and use the optimal neural network to classify the angle of the control panel in the FRC 2020 game
https://github.com/tasrobotics/wheeloffortune
Last synced: 11 months ago
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find and use the optimal neural network to classify the angle of the control panel in the FRC 2020 game
- Host: GitHub
- URL: https://github.com/tasrobotics/wheeloffortune
- Owner: TASRobotics
- Created: 2020-01-05T14:03:04.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2020-04-23T10:56:18.000Z (about 6 years ago)
- Last Synced: 2025-03-15T01:46:53.366Z (over 1 year ago)
- Language: Python
- Size: 144 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Wheel Of Fortune
Uses the AlexNet architecture to classify the angle of the control panel in the FRC 2020 game
## Steps:
1. Image Preprocessing
3. training
4. exporting the model
Make sure your python version is 3.4> <3.7
## pretrained model
The model has been already trained to work at a specific angle. You can download the latest working version for the releases and transfer learn it to work on your robot.
## Pip libraries to install:
- tensorflow-gpu
- 2.0
- keras
- numpy
- regex
- opencv-python
- absl-py