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BananaForge

🎨 Professional AI-powered multi-layer 3D printing optimization tool that converts 2D images into optimized multi-layer 3D models for color printing with advanced transparency mixing.

Install / Use

/learn @eddieoz/BananaForge
About this skill

Quality Score

0/100

Supported Platforms

Zed

README

BananaForge

🎨 Professional AI-powered multi-layer 3D printing optimization tool that converts 2D images into optimized multi-layer 3D models for color printing with advanced transparency mixing.

Version Python PyTorch License

✨ What Makes BananaForge Special

BananaForge uses cutting-edge AI optimization to create multi-color 3D prints with 30% fewer material swaps and professional-quality results:

  • 🧠 AI-Powered Optimization: PyTorch-based differentiable optimization with Gumbel softmax sampling
  • 🌈 Advanced Transparency Mixing: Create more colors with fewer materials through strategic layer transparency
  • 🎯 Intelligent Material Selection: LAB color space optimization for perceptual accuracy
  • GPU Acceleration: CUDA and MPS support for fast processing
  • 📊 Professional Output: STL files, HueForge projects, detailed cost analysis

🚀 Quick Start

# Install BananaForge
pip install -e .

# Convert your first image
bananaforge convert photo.jpg --materials materials.csv

# With transparency mixing for fewer material swaps
bananaforge convert photo.jpg --enable-transparency --materials materials.csv --max-materials 6

🎨 Advanced Transparency Features

BananaForge introduces transparency-based color mixing that revolutionizes multi-color 3D printing:

Three-Layer Opacity Model

  • 33% opacity: Light transparency for subtle color mixing
  • 67% opacity: Medium transparency for gradient effects
  • 100% opacity: Full color for vibrant base layers

Smart Material Savings

  • 30%+ reduction in material swaps
  • Intelligent base layer optimization for maximum contrast
  • Gradient detection for smooth color transitions
  • Cost analysis with detailed savings reports
# Enable transparency features with full options
bananaforge convert image.jpg \
  --enable-transparency \
  --opacity-levels "0.33,0.67,1.0" \
  --optimize-base-layers \
  --enable-gradients \
  --materials materials.csv \
  --max-materials 6 \
  --max-layers 25 \
  --mixed-precision \
  --export-format "stl,instructions,cost_report,transparency_analysis" \
  --output ./transparent_model/

🛠 Installation

Development Installation (Current)

git clone https://github.com/eddieoz/BananaForge.git
cd BananaForge
pip install -e .[dev]

Verify Installation

bananaforge version
bananaforge --help

🏗 Architecture Overview

Core Components

  • Enhanced Optimization Engine: Discrete validation, learning rate scheduling, mixed precision
  • Advanced Image Processing: LAB color space, saturation enhancement, color-preserving resize
  • Intelligent Height Map System: Two-stage K-means clustering, multi-threaded initialization
  • Transparency Mixing System: Physics-based alpha compositing, gradient processing
  • Professional Output: STL with alpha support, HueForge projects, detailed analytics

Key Technologies

  • PyTorch: Differentiable optimization with automatic mixed precision
  • LAB Color Space: Perceptually uniform color calculations
  • Gumbel Softmax: Discrete optimization with gradient flow
  • Multi-threading: Parallel processing for complex operations

📚 Documentation

🧪 Testing

# Run all tests
pytest tests/ -v

# Run with coverage
pytest tests/ --cov=bananaforge --cov-report=html

# Run specific feature tests
pytest tests/test_feature4_5_transparency_color_mixing.py -v

🤝 Contributing

We welcome contributions! This project follows TDD/BDD development practices.

  1. Fork the repository
  2. Create a feature branch: git checkout -b feature/amazing-feature
  3. Write tests first: Follow our BDD scenarios in tests/
  4. Implement features: Make tests pass
  5. Submit a pull request

📄 License

MIT License - see LICENSE for details.

🙏 Acknowledgments

  • Built with ❤️ using PyTorch and modern AI techniques
  • Inspired by the 3D printing and computer vision communities
  • Special thanks to HueForge and Autoforge for pioneering multi-color 3D printing workflows

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Related Skills

View on GitHub
GitHub Stars9
CategoryEducation
Updated20d ago
Forks2

Languages

Python

Security Score

90/100

Audited on Mar 16, 2026

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