DeepFX Studio

🎉 Dockerfile for Background Remover has been added!!!

Welcome to DeepFX Studio! This AI-powered toolkit provides a suite of advanced image editing features powered by cutting-edge deep learning techniques. From enhancing image quality to creative transformations, DeepFX Studio is designed to be a comprehensive solution for all your image processing needs.

🚀 Features

DeepFX Studio offers the following capabilities:

1. Neural Style Transfer

   • Apply artistic styles to your images, transforming them into visually stunning artwork inspired by famous artists and styles.

2. Colorization of Black-and-White Images

   • Bring old photos to life by adding realistic color to black-and-white images.

3. Background Removal

   • Easily separate the subject from the background for further editing or creative purposes.

4. Image Super-Resolution (Enhance Image Quality)

   • Upscale low-resolution images to high-definition, preserving important details and clarity.

5. Cartoonization

   • Turn photos into cartoon-like images, giving a fun and artistic twist to your pictures.

6. Image Inpainting (Object Removal)

   • Effortlessly remove unwanted objects and reconstruct missing areas in images.

7. Age Progression and Regression

   • Simulate aging effects to see younger or older versions of the person in the image.

8. Auto-Background Blur (Portrait Mode)

   • Create a soft bokeh effect on the background, enhancing the subject's focus.

9. HDR Effect (High Dynamic Range)

   • Enhance images with a high dynamic range for more vivid colors and rich details.

📅 Project Status

Development Start Date: October 26, 2024
Stay tuned for progress updates as we work on implementing and refining each feature!

💻Local development

To run the example project:

1. create a virtual enviroment and activate it

2. Install dependencies via pip:

   pip install -r requirements.txt

3. Run development server:

   python manage.py runserver

. Open http://localhost:8000 in a browser. You should see the main page.

🐳 Docker setup

1. Build containers via docker:

   docker build -t background-remover .

2. Start containers:

   docker run -p 8000:8000 background-remover

3. Open http://localhost:8000 in a browser and have fun with the state-of-the-art Background remover 🚀🚀

📬 Contact

For questions or support, please reach out to us via GitHub Issues.