usls 0.2.0-alpha.3

A Rust library integrated with ONNXRuntime, providing a collection of ML models.
Documentation
site_name: usls
site_description: A cross-platform Rust library for efficient inference of SOTA vision and vision-language models.
site_author: jamjamjon
repo_name: jamjamjon/usls
repo_url: https://github.com/jamjamjon/usls
edit_uri: edit/main/docs/

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nav:
  - Home: index.md
  - Getting Started: 
    - Overview: getting-started/overview.md
    - Installation: getting-started/installation.md
    - Integration: getting-started/integration.md
  - Cargo Features: 
    - Overview: cargo-features/overview.md
    - ONNX Runtime & EP: cargo-features/ort.md
    - Image Formats: cargo-features/image-formats.md
    - Model Categories: cargo-features/models.md
    - Utilities: cargo-features/utils.md
  - Guides:
    - Overview: guides/overview.md
    - Config System: guides/config.md
    - Data Loading: guides/dataloader.md
    - Execution Providers: guides/ep.md
    - DType & Quantization: guides/dtype.md
    - Device Management: guides/device.md
    - Results: guides/results.md
    - Annotator: guides/annotator.md
    - Visualization: guides/visualization.md
  - Model Zoo: 
    - Overview: model-zoo/overview.md
    - YOLO Series: model-zoo/yolo.md
    - Classification & Tagging: model-zoo/classification.md
    - Object Detection: model-zoo/detection.md
    - Image Segmentation: model-zoo/segmentation.md
    - Background Removal: model-zoo/background-removal.md
    - Gaze Estimation: model-zoo/gaze.md
    - Image Matting: model-zoo/matting.md
    - Open-Set Detection: model-zoo/open-set.md
    - Multi-Object Tracking: model-zoo/tracking.md
    - Super Resolution: model-zoo/super-resolution.md
    - Pose Estimation: model-zoo/pose.md
    - OCR & Documents: model-zoo/ocr.md
    - Vision-Language Models: model-zoo/vlm.md
    - Embedding Models: model-zoo/embedding.md
    - Depth Estimation: model-zoo/depth.md
    - Others: model-zoo/others.md
  - FAQ: faq.md
  - Contributing: contributing.md
  - API Reference: https://docs.rs/usls/latest/usls/