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https://github.com/musatahawar/face-recognization
Face Recognizer is a Python-based application that can detect and recognize faces in images or via a webcam feed. It utilizes OpenCV for face detection and dlib for facial landmark extraction and recognition. This project provides a basic framework for face recognition, which can be further customized and extended for various applications.
https://github.com/musatahawar/face-recognization
face-recogni face-recognition-python python python3
Last synced: 5 days ago
JSON representation
Face Recognizer is a Python-based application that can detect and recognize faces in images or via a webcam feed. It utilizes OpenCV for face detection and dlib for facial landmark extraction and recognition. This project provides a basic framework for face recognition, which can be further customized and extended for various applications.
- Host: GitHub
- URL: https://github.com/musatahawar/face-recognization
- Owner: MusaTahawar
- License: mit
- Created: 2023-11-01T16:27:41.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2023-11-01T16:32:03.000Z (about 1 year ago)
- Last Synced: 2024-11-09T17:19:06.552Z (2 months ago)
- Topics: face-recogni, face-recognition-python, python, python3
- Language: Python
- Homepage:
- Size: 4.88 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Face Recognizer
Face Recognizer is a Python-based application that can detect and recognize faces in images or via a webcam feed. It utilizes OpenCV for face detection and dlib for facial landmark extraction and recognition. This project provides a basic framework for face recognition, which can be further customized and extended for various applications.
## Features
- Face detection using OpenCV's Haar Cascade classifier.
- Facial landmark extraction using dlib's shape predictor.
- Face recognition using OpenCV's Local Binary Patterns Histograms (LBPH) recognizer.
- Real-time face recognition from a webcam feed.
- Basic example of face detection and recognition in images.## Installation
Before running the Face Recognizer, ensure you have the required libraries installed. You can install them using pip:
```bash
pip install opencv-python dlib numpy