https://github.com/spidy20/face_detection_streamlit
A Webapp that can detect face and count it from WebCam and Image.
https://github.com/spidy20/face_detection_streamlit
face-detection face-detection-using-opencv face-detection-website streamlit streamlit-webapp
Last synced: 3 months ago
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A Webapp that can detect face and count it from WebCam and Image.
- Host: GitHub
- URL: https://github.com/spidy20/face_detection_streamlit
- Owner: Spidy20
- Created: 2021-07-12T05:57:57.000Z (about 4 years ago)
- Default Branch: master
- Last Pushed: 2021-07-12T06:30:03.000Z (about 4 years ago)
- Last Synced: 2025-04-12T17:22:11.755Z (6 months ago)
- Topics: face-detection, face-detection-using-opencv, face-detection-website, streamlit, streamlit-webapp
- Language: Python
- Homepage: https://fd20.herokuapp.com/
- Size: 824 KB
- Stars: 8
- Watchers: 1
- Forks: 11
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Face Detection & Counter Web-App using Streamlit
[](https://www.python.org/)
[](https://www.python.org/downloads/release/python-360/)## [Watch Tutorial for this project](https://youtu.be/feRxDgmI2eo)
## Live Demo of [Web-App](https://fd20.herokuapp.com/)
## Usage:-
- Clone my repository.
- Open CMD in working directory.
- Run following command.```
pip install -r requirements.txt
```
- `FACE_detect.py` is the file which contains main function of the Face detection and counter.
- `FD_Str.py` is the main python file of Streamlit Web Application.
- To run app, write following command in CMD. or use any IDE.```
streamlit run FD_Str.py
```- For more explanation of this project see the tutorial on Machine Learning Hub YouTube channel.
## Screenshots
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## Just follow☝️ me and Star⭐ my repository
# [Buy me a Coffee☕](https://www.buymeacoffee.com/spidy20)
## [Donate me on PayPal(It will inspire me to do more projects)](https://www.paypal.me/spidy1820)