Machine Learning Project: Face Detection using OpenCV 💻👁️

This repository contains code for a face detection project using the OpenCV library in Python.

Table of Contents

• Machine Learning Project: Face Detection using OpenCV 💻👁️
  • Table of Contents
  • Live Camera Face Detection 📷
  • Image Detection from Photos (Python) 📸
  • Image Detection from Photos (Jupyter Notebook) 📒
  • Project Overview 🌟
  • Usage 🚀
  • Dependencies 📦

Live Camera Face Detection 📷

View the Code (completed.py)

This script performs real-time face detection using a camera feed.

Image Detection from Photos (Python) 📸

View the Code (new.py)

This script detects faces in static images using Python.

Image Detection from Photos (Jupyter Notebook) 📒

View the Code (Face_Detection_with_Python_using_OpenCV.ipynb)

This Jupyter Notebook provides step-by-step instructions and code for image-based face detection using OpenCV.

Project Overview 🌟

This project harnesses the capabilities of the OpenCV library, a powerful tool for computer vision and image processing tasks. Face detection is a fundamental application of computer vision with numerous real-world applications, including security systems, facial recognition, and more.

Usage 🚀

To use this project:

1. Clone this repository to your local machine.

2. Choose the relevant script or Jupyter Notebook based on your task.

3. Run the code to perform face detection in real-time or on static images.

Dependencies 📦

To run the scripts and notebooks in this project, you will need the following dependencies:

• Python 🐍
• OpenCV library 🖼️
• Jupyter Notebook (for the Jupyter-based code) 📓

You can install the required packages using pip or your preferred package manager:

pip install opencv-python-headless