https://github.com/nizarassad/face-detection

Face detection system powered by a train model by openCv
https://github.com/nizarassad/face-detection

face-detection haarcascade-frontalface opencv python

Last synced: 10 days ago
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Face detection system powered by a train model by openCv

• Host: GitHub
• URL: https://github.com/nizarassad/face-detection
• Owner: Nizarassad
• Created: 2023-01-18T17:32:45.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2024-08-05T17:59:03.000Z (3 months ago)
• Last Synced: 2024-08-05T20:59:46.180Z (3 months ago)
• Topics: face-detection, haarcascade-frontalface, opencv, python
• Language: Python
• Homepage:
• Size: 143 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Face Detection System using OpenCV

### This repository contains a simple face detection system implemented using the OpenCV library. The system is able to detect faces in an image or video stream and draw a bounding box around the detected face.

### Requirements:

    Python 3.x

    OpenCV (version 4.x or higher)

    Numpy

    Usage

### The system can be used in two ways:

#### Detect faces in an image

##### Copy code:

    > python detect_faces.py --image path/to/image

#### Detect faces in a video stream:

##### Copy code:

    > python detect_faces.py --video

#### The system uses a Haar cascade classifier for face detection, which is a machine learning based approach. The classifier is trained on a dataset of positive and negative images, and is able to detect faces with high accuracy. However, it may not work well for all types of faces or in all lighting conditions.

#### Author

Nizar Assad