DeepFace Analysis

Overview

This project provides a user-friendly GUI application for analyzing facial features using DeepFace. The application can analyze age, gender, race, and emotions from images or real-time video streams. It is developed using Python and Tkinter, and it leverages powerful models like DeepFace and RetinaFace for face detection and analysis.

Features

1. Image Analysis: Upload an image and analyze facial features, including age, gender, race, and emotions.
2. Real-Time Emotion Detection: Use your webcam to detect emotions and approximate age in real-time.
3. Integration with Other Models: Access other multimodal models like:
   • Face Recognition Attendance System
   • English to Hindi-Gujarati Translator
   • Stock Market Price Checker
   • Enhanced Hand Detection Program
   • Hand Tracking & Brightness Control System
4. User-Friendly Interface: The application is simple and intuitive, designed for seamless interaction.

Demonstration

Watch the full demonstration of the project on YouTube: DeepFace Analysis Demo

How to Use

Prerequisites

Ensure you have Python 3.8+ installed. Clone or download the repository to your local machine.

Installation

This project is part of a larger multimodal system. The requirements.txt file contains dependencies for the entire system. If you only want to use this model, install the following minimal dependencies:

Code Structure

• preprocess_image(img_path): Preprocesses the image for analysis.
• weighted_average_results(results): Aggregates results from multiple models using a weighted average.
• analyze_with_models(img_path): Runs analysis using various models and returns the results.
• face_analyze(img_path, result_text): Main function for analyzing faces and displaying results.
• upload_image(result_text): Handles image upload and starts the analysis.
• real_time_emotion_detection(): Detects emotions and age in real-time using the webcam.
• run_other_model(script_name): Launches other models from the multimodal system.
• main(): Initializes and runs the Tkinter GUI.

Dependencies

• DeepFace: Used for facial analysis.
• RetinaFace: Used for face detection.
• OpenCV: Used for image and video processing.
• NumPy: Used for numerical computations.
• Tkinter: Used for the graphical user interface.

Notes

• This project is part of a larger multimodal system. For a full exploration, download the entire multimodal system from the repository.
• For real-time emotion detection, ensure your webcam is connected and accessible.

Contribution

Feel free to fork the repository, submit issues, or suggest improvements. Contributions are always welcome!

License

This project is licensed under the MIT License. See the LICENSE file for details.

Developed by A&J as part of the Multimodal System.