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https://github.com/gherrada22/face-detector

Advanced face detector with OpenCV and Python3 for academic and home use. Provides camera triggering and image detection for accurate, real-time analysis.
https://github.com/gherrada22/face-detector

haar-cascade-classifier opencv opencv-contrib pip3 python3

Last synced: 10 days ago
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Advanced face detector with OpenCV and Python3 for academic and home use. Provides camera triggering and image detection for accurate, real-time analysis.

Host: GitHub
URL: https://github.com/gherrada22/face-detector
Owner: gherrada22
Created: 2023-02-05T05:15:49.000Z (almost 2 years ago)
Default Branch: main
Last Pushed: 2023-02-05T06:08:53.000Z (almost 2 years ago)
Last Synced: 2024-01-20T05:34:17.038Z (10 months ago)
Topics: haar-cascade-classifier, opencv, opencv-contrib, pip3, python3
Language: Python
Homepage:
Size: 906 KB
Stars: 0
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

Awesome Lists containing this project

README

Face Detector

Transform the way you analyze facial data with our face detector integrated with OpenCV and Python3. With its camera triggering capability through image detection, you can conduct studies and experiments with accurate, real-time facial data, opening new doors in the academic world of research and data analysis.

## 📷 Demo

## 📌 Requirements

- Photo or image with faces from the front
- Camera - webcam, integrated or by video capture device
- Python 3.6 or higher
- OpenCV 4.5.1 or higher
- pip3 21.0.1 or higher

## 🧠 Installation instructions

1. Download or clone this repository.

```
git clone https://github.com/gherrada22/Face-Detector.git
```

2. Type in your terminal the root location of the repository you want to start:

```
py deteccion_foto.py
py deteccion_video.py
```

```
python deteccion_foto.py
python deteccion_video.py
```

```
python3 deteccion_foto.py
python3 deteccion_video.py
```

## ❤ Contribute

This project is open source and we are happy to receive contributions. If you would like to contribute, follow these steps:

1. Give star and fork the repository.
2. Create a branch for your feature or bug fix (`git checkout -b my-new-feature`).
3. Commit your changes (`git commit -am 'Added my-new-feature'`)
4. Push your branch (`git push origin my-new-feature`)
5. Create a pull request.