https://github.com/kendricktan/suiron

Machine Learning for RC Cars
https://github.com/kendricktan/suiron

Last synced: about 14 hours ago
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Machine Learning for RC Cars

• Host: GitHub
• URL: https://github.com/kendricktan/suiron
• Owner: kendricktan
• License: mit
• Created: 2016-09-13T14:44:18.000Z (about 8 years ago)
• Default Branch: master
• Last Pushed: 2016-10-08T01:04:13.000Z (about 8 years ago)
• Last Synced: 2024-04-13T21:03:44.322Z (7 months ago)
• Language: Python
• Homepage: http://jabelone.com.au/blog/make-autonomous-car-code-included/
• Size: 52.7 KB
• Stars: 705
• Watchers: 40
• Forks: 78
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Suiron

### Machine Learning for RC Cars 

## Prediction visualization (green = actual, blue = prediction)

![](https://thumbs.gfycat.com/DarlingForkedAcaciarat-size_restricted.gif)

## Click the video below to see it in action!

[![IMAGE ALT TEXT](http://img.youtube.com/vi/tFwCyHdAWf0/0.jpg)](https://youtu.be/tFwCyHdAWf0 "Machine Learning Car")

## Dependencies

#### __Python 2.7__ was chosen as it was supported by all the libraries used at the time

```

sudo apt-get update

sudo apt-get upgrade

sudo apt-get install python-opencv python-dev

export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.10.0-cp27-none-linux_x86_64.whl

sudo pip install --upgrade $TF_BINARY_URL

sudo pip install -r requirements.txt

```

## Collecting data

```

python collect.py

```

## Visualizing collected data

```

python visualize_collect.py

```

## Training data

```

python train.py

```

## Visualizing predicted data

```

python visualize_predict.py

```

# References

Blog Post detailing how the hardware and software communicate - [Communicating between RC Car and the On-board Computer - Jabelone](http://jabelone.com.au/blog/make-autonomous-car-code-included/)

Communication between hardware and software repo - [car-controller](https://github.com/jabelone/car-controller)

Neural Network architecture was based on NVIDIA's Self-driving car paper - [End-To-End Learning for Self-Driving Cars](https://arxiv.org/pdf/1604.07316v1.pdf)