Face-Features

MercuryRiot/Face-Features is a Python-based project focused on facial feature detection and analysis. This repository provides tools and scripts for extracting, analyzing, and working with facial features using computer vision and machine learning technologies.

Features

• Facial Feature Detection: Accurately detect key facial landmarks (eyes, nose, mouth, etc.) in images.
• Image Processing: Utilities for loading, preprocessing, and visualizing face images.
• Python Ecosystem: Built entirely in Python for flexibility and ease of use.

Technologies Used

• Python: Main programming language.
• Computer Vision Libraries: Likely uses OpenCV, dlib, or similar for image and facial landmark processing.
• Machine Learning: May include classical or deep learning models for feature extraction or recognition.
• NumPy & Pillow: For image and array manipulation.
• Jupyter Notebooks: Ideal for experimentation and visualization (if included).

Getting Started

1. Clone the repository:

   git clone https://github.com/MercuryRiot/Face-Features.git
   cd Face-Features

2. Install dependencies:
   Ensure you have Python 3.x installed. Typical dependencies may include:

   pip install opencv-python dlib numpy pillow

3. Usage:

   • Run Python scripts to process images and extract facial features.
   • Inspect documentation and comments in the scripts for specific usage details.

Repository Details

• Created: January 25, 2025
• Language: Python (100%)
• Owner: MercuryRiot
• License: (Not specified)

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

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