# demo-self-driving

**Repository Path**: zgxtech_admin/demo-self-driving

## Basic Information

- **Project Name**: demo-self-driving
- **Description**: Streamlit app demonstrating an image browser for the Udacity self-driving-car dataset with realtime object detection using YOLO.
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2022-01-13
- **Last Updated**: 2022-06-28

## Categories & Tags

**Categories**: Uncategorized

**Tags**: streamlit, streamlit

## README

[![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).