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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
Last synced: 6 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 (9 months ago)
- Last Synced: 2025-01-18T06:05:09.816Z (13 days ago)
- Language: Python
- Homepage:
- Size: 13.9 MB
- Stars: 1,209
- Watchers: 61
- Forks: 452
- Open Issues: 16
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Codeowners: .github/CODEOWNERS
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- 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. (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).