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Advanced SVG manipulation with quantum, AI, and bio-algorithm features

Project description

SVGFTW: SVG For The Win

An advanced SVG manipulation library with quantum computing, AI, and bio-algorithm features.

Features

  • Quantum-enhanced rendering - Leverage quantum computing for generative art
  • AI style transfer - Apply neural style transfer techniques to SVG elements
  • Bio-algorithm patterns - Create organic patterns inspired by biological systems
  • Holographic/3D effects - Add depth and dimension to otherwise flat SVG
  • Advanced filtering - Apply complex filters beyond standard SVG capabilities

Installation

pip install svgftw

Basic Usage

from svgftw import SVGFTW

# Create a new SVG canvas
svg = SVGFTW(width=800, height=600)

# Add a simple rectangle
svg.add_element('rect', x=10, y=10, width=100, height=50, fill="blue")

# Add a circle
svg.add_element('circle', cx=400, cy=300, r=50, fill="red")

# Save to file
svg.save("my_drawing.svg")

Documentation

See the tutorials for more examples and detailed documentation.

License

MIT

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