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

Last synced: 7 days ago
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Streamlit app demonstrating an image browser for the Udacity self-driving-car dataset with realtime object detection using YOLO.

• Host: GitHub
• URL: https://github.com/streamlit/demo-self-driving
• Owner: streamlit
• License: apache-2.0
• Created: 2019-09-06T21:02:45.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2024-04-27T13:50:00.000Z (12 months ago)
• Last Synced: 2025-03-31T20:11:37.012Z (14 days ago)
• Language: Python
• Homepage:
• Size: 13.9 MB
• Stars: 1,227
• Watchers: 59
• Forks: 458
• Open Issues: 16
• Metadata Files:
  • Readme: README.md
  • License: LICENSE
  • Codeowners: .github/CODEOWNERS

Awesome Lists containing this project

• awesome-starred - streamlit/demo-self-driving - Streamlit app demonstrating an image browser for the Udacity self-driving-car dataset with realtime object detection using YOLO. (others)
• awesome-yolo-object-detection - streamlit/demo-self-driving - self-driving?style=social"/> : Streamlit app demonstrating an image browser for the Udacity self-driving-car dataset with realtime object detection using YOLO. (Object Detection Applications)
• awesome-yolo-object-detection - streamlit/demo-self-driving - self-driving?style=social"/> : Streamlit app demonstrating an image browser for the Udacity self-driving-car dataset with realtime object detection using YOLO. (Applications)

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).