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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