Background Remover App

A Streamlit-based application for background removal from images. The app allows you to upload multiple images, choose a background removal model, and process the images in parallel. It also provides an interactive image comparison slider and options to download individual images or all processed images as a ZIP file.

Features

• Multiple Model Support: Choose from a variety of background removal models tailored for different use cases:
  • General-purpose models (u2net, isnet-general-use)
  • Human segmentation (u2net_human_seg)
  • Cloth segmentation (u2net_cloth_seg)
  • Anime-style images (isnet-anime)
  • Advanced segmentation (sam, birefnet-general, etc.)
• Batch Processing: Upload multiple images and process them concurrently for efficiency.
• Interactive Image Comparison: Compare original and processed images side-by-side with a slider.
• Download Options: Download individual images or all processed images as a ZIP file.
• Easy Reset: Clear all selections and uploads with a single button.

Requirements

• Python 3.8 or higher
• Dependencies:
  • streamlit
  • rembg
  • Pillow
  • streamlit-image-comparison
  • concurrent.futures

Install the dependencies with:

pip install streamlit rembg Pillow streamlit-image-comparison

Usage

1. Clone the Repository:

git clone https://github.com/your-username/background-remover-app.git
cd background-remover-app

2. Create a virtual environment and activate it

3. Install dependencies

Run the Application:

Start the app with Streamlit:

streamlit run app.py

Using the App:

• Select a background removal model from the dropdown.
• Upload one or more images (.jpg, .jpeg, .png).
• Click "Process Images" to remove the background.
• View and compare the results with an interactive slider.
• Download individual processed images or a ZIP file of all results.

Models

Here are the supported models and their use cases:

Model Name	Description
u2net	General-purpose background removal.
u2netp	Lightweight and faster version of u2net.
u2net_human_seg	Optimized for human segmentation.
u2net_cloth_seg	Specialized for cloth segmentation.
silueta	Advanced silhouette detection.
isnet-general-use	General-purpose segmentation by ISNet.
isnet-anime	Tailored for anime-style images.
sam	Segment Anything Model for versatile tasks.
birefnet-general	BirefNet for general segmentation.
birefnet-general-lite	Lightweight version for faster processing.
birefnet-dis	Optimized for document images.
birefnet-hrsod	High-resolution BirefNet for SOD tasks.
birefnet-cod	BirefNet for contour detection.
birefnet-massive	Large-scale segmentation tasks.

Contributing

Contributions are welcome! Feel free to fork the repository, make improvements, and submit a pull request.

License

This project is licensed under the Apache-2.0 License.

Happy Background Removing!