Software Integration PCA

Overview

A Python-based application for facial structure analysis using Principal Component Analysis (PCA). The project specializes in processing and analyzing texture and geometry data from 3D facial models through an intuitive graphical interface.

Features

• Advanced PCA implementation for dimensionality reduction
• Intuitive PyQt5-based graphical interface
• Multi-threaded processing for enhanced performance
• Comprehensive facial geometry and texture analysis
• Real-time visualization of PCA results

Prerequisites

• Python 3.8 or higher
• Graphics card with OpenGL support
• Minimum 8GB RAM recommended

Dependencies

PyQt5
numpy>=1.19.0
scipy>=1.6.0
matplotlib>=3.3.0

Installation

1. Clone the repository

git clone https://github.com/sethih10/Software_Integration_PCA.git
cd Software_Integration_PCA

2. Create and activate a virtual environment (recommended)

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies

pip install -r requirements.txt

Project Structure

Software_Integration_PCA/
├── src/
│   ├── GUI_perfect.py      # Main GUI implementation
│   ├── OBJ.py             # 3D model and texture handling
│   └── parameter_pca.py   # PCA implementation and configurations
├── tests/                 # Unit tests
├── docs/                  # Documentation
├── requirements.txt       # Project dependencies
└── README.md             # Project documentation

Usage

1. Start the application

python src/GUI_perfect.py

2. Load your data:

   • Click "Load Data" to import facial geometry files
   • Select texture files if available
   • Configure PCA parameters in the settings panel

3. Process and analyze:

   • Click "Run Analysis" to perform PCA
   • View results in the visualization panel
   • Export or save results as needed

Features in Detail

PCA Implementation

• Efficient dimensionality reduction for high-dimensional facial data
• Customizable parameter settings for PCA analysis
• Real-time computation feedback

GUI Features

• User-friendly interface built with PyQt5
• Interactive visualization tools
• Progress tracking for long operations
• Customizable display options

Data Management

• Support for various 3D model formats
• Texture mapping capabilities
• Batch processing support
• Export functionality for results

Common Issues and Solutions

GUI Not Responding

If the GUI becomes unresponsive during heavy processing:

• Reduce the dataset size
• Close other resource-intensive applications
• Ensure your system meets the minimum requirements

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request