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https://github.com/streamlit/demo-self-driving

Streamlit app demonstrating an image browser for the Udacity self-driving-car dataset with realtime object detection using YOLO.
https://github.com/streamlit/demo-self-driving

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Streamlit app demonstrating an image browser for the Udacity self-driving-car dataset with realtime object detection using YOLO.

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[![Open in Streamlit](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://share.streamlit.io/streamlit/demo-self-driving)

# Streamlit Demo: The Udacity Self-driving Car Image Browser

This project demonstrates the [Udacity self-driving-car dataset](https://github.com/udacity/self-driving-car) and [YOLO object detection](https://pjreddie.com/darknet/yolo) into an interactive [Streamlit](https://streamlit.io) app.

The complete demo is [implemented in less than 300 lines of Python](https://github.com/streamlit/demo-self-driving/blob/master/streamlit_app.py) and illustrates all the major building blocks of Streamlit.

![Making-of Animation](https://raw.githubusercontent.com/streamlit/demo-self-driving/master/av_final_optimized.gif "Making-of Animation")

## How to run this demo
```
pip install --upgrade streamlit opencv-python
streamlit run https://raw.githubusercontent.com/streamlit/demo-self-driving/master/streamlit_app.py
```

### Questions? Comments?

Please ask in the [Streamlit community](https://discuss.streamlit.io).