Human Face Detection

This is a simple Django application for detecting human faces in images using TensorFlow and MTCNN.

Requirements

• Python 3.11
• Docker
• Docker Compose

Installation

Using Docker

1. Clone this repository:

   git clone https://github.com/portfoliojuanberrios/humanfacedetection.git
   cd humanfacedetection

2. Build and run the Docker containers:

   docker-compose build
   docker-compose up

3. Access the application in your web browser at http://localhost:8011/upload/.

Usage

1. Upload an image from the upload page.
2. The application will process the image and indicate if it contains a person.

Project Structure

• manage.py: Django management script.
• requirements.txt: List of project dependencies.
• Dockerfile: Instructions for building the Docker image.
• docker-compose.yml: Configuration for Docker Compose.
• mi_aplicacion/: Main application folder containing views, forms, and utilities.
  • __init__.py: Initializes the application.
  • admin.py: Admin site configuration.
  • apps.py: Application configuration.
  • forms.py: Form for uploading images.
  • migrations/: Database migrations.
  • models.py: Database models (if any).
  • tests.py: Tests for the application.
  • urls.py: URL routing for the application.
  • utils.py: Utility functions for image processing.
  • views.py: View functions for handling requests.
  • templates/mi_aplicacion/: HTML templates for the application.
    • result.html: Template for displaying the result.
    • upload.html: Template for uploading images.
• humanfacedetection/: Project configuration folder.
  • __init__.py: Initializes the project.
  • asgi.py: ASGI configuration.
  • settings.py: Project settings.
  • urls.py: URL routing for the project.
  • wsgi.py: WSGI configuration.

Environment Variables

• DJANGO_SETTINGS_MODULE: Django settings module (default is humanfacedetection.settings).

Contribution

If you would like to contribute to this project, please fork the repository and submit a pull request.

License

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

Contact

For any inquiries or support, please contact Juan Berrios Moya at [info@softdeveloper.com.au].

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Thank you for using the Human Face Detection application!