django_bgRemoverML

A Machine Learning Project integrated with Django to Remove Background from Image .

Installation:

• git clone https://github.com/FarjaalAhmad/django_bgRemoverML
• cd django_bgRemoverML
• python3 -m pip install -r requirements.txt
• bash setup.sh
• python3 manage.py migrate
• python3 manage.py runserver

Supported OS:

• Linux

For API Usage:

Make a POST request to http://localhost:8000/upload with the Following parameters.
image=[BASE64 ENCODED IMAGE HERE]

Bugs:

• If you found any bugs, Feel Free to create an Issue.

Deployment:

You can register here and Get $100 Free for 2 months.

Contribution:

• If you want to Contribute into this Project, Feel free to make Pull Request. <a href="https://github.com/FarjaalAhmad/django_bgRemoverML/graphs/contributors"> <img src="https://contributors-img.web.app/image?repo=FarjaalAhmad/django_bgRemoverML" />

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🚀 Relaunch Roadmap (v2.0)

The project is actively being relaunched after a hiatus. Here's what's planned:

✅ Phase 1 — Foundation (In Progress)

• Unarchive and modernize project structure
• Upgrade dependencies to current stable versions
• Add Docker & Docker Compose support for easy self-hosting
• Set up CI/CD pipeline (GitHub Actions)

🔬 Phase 2 — ML Improvements

• Replace legacy model with U²-Net / ONNX for better accuracy & speed
• Add support for batch image processing
• GPU acceleration support (optional, via config)

🌐 Phase 3 — API & Developer Experience

• Rewrite REST API with async Django (or FastAPI migration option)
• Add proper API authentication (token-based)
• OpenAPI / Swagger docs
• Python SDK / client library

🧪 Phase 4 — Quality & Reliability

• Write unit and integration tests (target 80%+ coverage)
• Add pre-commit hooks and linting (black, flake8, isort)
• Automated PR review and issue triage

📦 Phase 5 — Distribution

• Publish Docker image to Docker Hub
• PyPI package for the core ML pipeline
• Hosted demo

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