SketchKit Documentation

Introduction

SketchKit is a comprehensive Python toolkit designed for working with digital sketches and hand-drawn illustrations. It provides a unified framework for loading, processing, analyzing, and rendering sketch data from various sources and datasets.

Whether you’re a researcher studying human drawing behavior (new to the field or already experienced) or a developer building sketch-based applications, SketchKit offers powerful one-line solutions for complex sketch operations that would otherwise require hundreds of lines of code.

Key Features

• One-Line Solutions: Complex operations made simple

• 10 Datasets Supported: QuickDraw, TU Berlin, Sketchy, and more

• Unified Representation: Work with any dataset using the same API

• High-Quality Rendering: Vector-based rendering with Cairo

Manual

Get started with SketchKit through our comprehensive guides covering installation, core concepts, and practical examples.

• Get Started
• Modeling
• Representation
• Sketch Datasets
• Renderer
• Vectorization
• Animation
• Cleanup
• Sketch2Image
• Image2Sketch
• Ordering

API Reference

Detailed documentation for all SketchKit classes, functions, and modules.

• sketchkit package
  • Subpackages
  • Module contents