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Picturesque
Picturesque

Using Picturesque

  • Getting Started
    • Installing
    • Your First Import
    • Your First Cull
  • Concepts
    • Library, Catalog and Cache
    • Photos and Files
    • Scores
  • Features
    • Local AI
    • Compare
    • Exporting
    • Import
    • Library
    • Moving Rejects
    • Series
    • Statistics
  • Reference
    • API
    • Data Locations
    • Keyboard Shortcuts
    • Path Templates
    • Quality scores
    • Settings
    • Visual similarity
    • Third-Party Data
  • Troubleshooting

Contributing

  • Development
    • Inference Benchmarks
    • Building and Testing
    • Continuous Integration
    • Documentation
    • Packaging
    • Releasing
    • Running the UI in a Browser
    • Website
  • Architecture
    • Overview
    • Components
    • Data
    • Architecture Decision Records
      • ADR-0001: Sphinx and reStructuredText for Project Documentation
      • ADR-0002: Tauri 2 and Svelte 5 for the Desktop Application
      • ADR-0003: Layered Cargo Workspace
      • ADR-0004: SQLite Catalog
      • ADR-0005: Image Decoding Stack
      • ADR-0006: Local AI with ONNX Runtime
      • ADR-0007: Offline Reverse Geocoding
      • ADR-0008: Non-Destructive, Verified Import
      • ADR-0009: XMP Sidecars for Culling Decisions
      • ADR-0010: Dual Transport: Tauri IPC and Development HTTP
      • ADR-0011: Resumable Background Analysis
      • ADR-0012: Continuous Import Pipeline
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DevelopmentΒΆ

How to build, test and contribute to Picturesque.

  • Inference Benchmarks
  • Building and Testing
  • Continuous Integration
  • Documentation
  • Packaging
  • Releasing
  • Running the UI in a Browser
  • Website
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Inference Benchmarks
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Troubleshooting
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