usls

| Documentation |

usls is a Rust library integrated with ONNXRuntime that provides a collection of state-of-the-art models for Computer Vision and Vision-Language tasks, including:

• YOLO Models: YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLOv9, YOLOv10
• SAM Models: SAM, SAM2, MobileSAM, EdgeSAM, SAM-HQ, FastSAM
• Vision Models: RTDETR, RTMO, DB, SVTR, Depth-Anything-v1-v2, DINOv2, MODNet, Sapiens
• Vision-Language Models: CLIP, BLIP, GroundingDINO, YOLO-World

Click to expand Supported Models

Supported Models

Model	Task / Type	Example	CUDA f32	CUDA f16	TensorRT f32	TensorRT f16
YOLOv5	Classification Object Detection Instance Segmentation	demo	✅	✅	✅	✅
YOLOv6	Object Detection	demo	✅	✅	✅	✅
YOLOv7	Object Detection	demo	✅	✅	✅	✅
YOLOv8	Object Detection Instance Segmentation Classification Oriented Object Detection Keypoint Detection	demo	✅	✅	✅	✅
YOLOv9	Object Detection	demo	✅	✅	✅	✅
YOLOv10	Object Detection	demo	✅	✅	✅	✅
RTDETR	Object Detection	demo	✅	✅	✅	✅
FastSAM	Instance Segmentation	demo	✅	✅	✅	✅
SAM	Segment Anything	demo	✅	✅
SAM2	Segment Anything	demo	✅	✅
MobileSAM	Segment Anything	demo	✅	✅
EdgeSAM	Segment Anything	demo	✅	✅
SAM-HQ	Segment Anything	demo	✅	✅
YOLO-World	Object Detection	demo	✅	✅	✅	✅
DINOv2	Vision-Self-Supervised	demo	✅	✅	✅	✅
CLIP	Vision-Language	demo	✅	✅	✅ Visual ❌ Textual	✅ Visual ❌ Textual
BLIP	Vision-Language	demo	✅	✅	✅ Visual ❌ Textual	✅ Visual ❌ Textual
DB	Text Detection	demo	✅	✅	✅	✅
SVTR	Text Recognition	demo	✅	✅	✅	✅
RTMO	Keypoint Detection	demo	✅	✅	❌	❌
YOLOPv2	Panoptic Driving Perception	demo	✅	✅	✅	✅
Depth-Anything	Monocular Depth Estimation	demo	✅	✅	❌	❌
MODNet	Image Matting	demo	✅	✅	✅	✅
GroundingDINO	Open-Set Detection With Language	demo	✅	✅
Sapiens	Body Part Segmentation	demo	✅	✅

⛳️ ONNXRuntime Linking

You have two options to link the ONNXRuntime library

• Option 1: Manual Linking

  • For detailed setup instructions, refer to the ORT documentation.

  • For Linux or macOS Users:

    • Download the ONNX Runtime package from the Releases page.
    • Set up the library path by exporting the ORT_DYLIB_PATH environment variable:

      export ORT_DYLIB_PATH=/path/to/onnxruntime/lib/libonnxruntime.so.1.19.0
      

• Option 2: Automatic Download

  Just use --features auto

  cargo run -r --example yolo --features auto
  

🎈 Quick Start

cargo run -r --example yolo   # blip, clip, yolop, svtr, db, ...

🥂 Integrate Into Your Own Project

Add usls as a dependency to your project's Cargo.toml

cargo add usls

Or use a specific commit:

[dependencies]
usls = { git = "https://github.com/jamjamjon/usls", rev = "commit-sha" }

📌 License

This project is licensed under LICENSE.