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# usls

[![Static Badge](https://img.shields.io/crates/v/usls.svg?style=for-the-badge&logo=rust)](https://crates.io/crates/usls) [![Static Badge](https://img.shields.io/badge/Documents-usls-blue?style=for-the-badge&logo=docs.rs)](https://docs.rs/usls) [![Static Badge](https://img.shields.io/badge/GitHub-black?style=for-the-badge&logo=github)](https://github.com/jamjamjon/usls) ![Static Badge](https://img.shields.io/crates/d/usls?style=for-the-badge)
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A Rust library integrated with **ONNXRuntime**, providing a collection of **Computer Vison** and **Vision-Language** models including [YOLOv5](https://github.com/ultralytics/yolov5), [YOLOv8](https://github.com/ultralytics/ultralytics), [YOLOv9](https://github.com/WongKinYiu/yolov9), [YOLOv10](https://github.com/THU-MIG/yolov10), [RTDETR](https://arxiv.org/abs/2304.08069), [CLIP](https://github.com/openai/CLIP), [DINOv2](https://github.com/facebookresearch/dinov2), [FastSAM](https://github.com/CASIA-IVA-Lab/FastSAM), [YOLO-World](https://github.com/AILab-CVC/YOLO-World), [BLIP](https://arxiv.org/abs/2201.12086), [PaddleOCR](https://github.com/PaddlePaddle/PaddleOCR), [Depth-Anything](https://github.com/LiheYoung/Depth-Anything), [MODNet](https://github.com/ZHKKKe/MODNet) and others.

| Depth-Anything |
| Monocular Depth Estimation |
| :--------------------------------------------------------------: |
| <img src='examples/depth-anything/demo.png' width="800px"> |

| YOLOP-v2 | Text-Detection-Recognition |

| Panoptic Driving Perception | Text-Detection-Recognition |
| :----------------------------------------------------: | :------------------------------------------------: |
| <img src='examples/yolop/demo.png' width="385px"> | <img src='examples/db/demo.png' width="385x"> |

| Portrait Matting |
| :------------------------------------------------------: |
| <img src='examples/modnet/demo.png' width="800px"> |

| YOLOv8-Obb |
| :------------------------------------------------------------: |
| <img src='examples/yolov8/demos/demo-obb-2.png' width="800px"> |

## Supported Models

| Model | Task / Type | Example | CUDA<br />f32 | CUDA<br />f16 | TensorRT<br />f32 | TensorRT<br />f16 |
| :---------------------------------------------------------------: | :--------------------------------------------------------------------------------------------------------------------: | :--------------------------: | :-----------: | :-----------: | :------------------------: | :-----------------------: |
| [YOLOv5](https://github.com/ultralytics/yolov5) | Classification<br />Object Detection<br />Instance Segmentation | [demo](examples/yolov5) |||||
| [YOLOv8](https://github.com/ultralytics/ultralytics) | Object Detection<br />Instance Segmentation<br />Classification<br />Oriented Object Detection<br />Keypoint Detection | [demo](examples/yolov8) |||||
| [YOLOv9](https://github.com/WongKinYiu/yolov9) | Object Detection | [demo](examples/yolov9) |||||
| [YOLOv10](https://github.com/THU-MIG/yolov10) | Object Detection | [demo](examples/yolov10) |||||
| [RTDETR](https://arxiv.org/abs/2304.08069) | Object Detection | [demo](examples/rtdetr) |||||
| [FastSAM](https://github.com/CASIA-IVA-Lab/FastSAM) | Instance Segmentation | [demo](examples/fastsam) |||||
| [YOLO-World](https://github.com/AILab-CVC/YOLO-World) | Object Detection | [demo](examples/yolo-world) |||||
| [YOLOv5](https://github.com/ultralytics/yolov5) | Classification<br />Object Detection<br />Instance Segmentation | [demo](examples/yolo) |||||
| [YOLOv8](https://github.com/ultralytics/ultralytics) | Object Detection<br />Instance Segmentation<br />Classification<br />Oriented Object Detection<br />Keypoint Detection | [demo](examples/yolo) |||||
| [YOLOv9](https://github.com/WongKinYiu/yolov9) | Object Detection | [demo](examples/yolo) |||||
| [YOLOv10](https://github.com/THU-MIG/yolov10) | Object Detection | [demo](examples/yolo) |||||
| [RTDETR](https://arxiv.org/abs/2304.08069) | Object Detection | [demo](examples/yolo) |||||
| [FastSAM](https://github.com/CASIA-IVA-Lab/FastSAM) | Instance Segmentation | [demo](examples/yolo) |||||
| [YOLO-World](https://github.com/AILab-CVC/YOLO-World) | Object Detection | [demo](examples/yolo) |||||
| [DINOv2](https://github.com/facebookresearch/dinov2) | Vision-Self-Supervised | [demo](examples/dinov2) |||||
| [CLIP](https://github.com/openai/CLIP) | Vision-Language | [demo](examples/clip) ||| ✅ visual<br />❌ textual | ✅ visual<br />❌ textual |
| [BLIP](https://github.com/salesforce/BLIP) | Vision-Language | [demo](examples/blip) ||| ✅ visual<br />❌ textual | ✅ visual<br />❌ textual |
| [DB](https://arxiv.org/abs/1911.08947) | Text Detection | [demo](examples/db) |||||
| [SVTR](https://arxiv.org/abs/2205.00159) | Text Recognition | [demo](examples/svtr) |||||
| [RTMO](https://github.com/open-mmlab/mmpose/tree/main/projects/rtmo) | Keypoint Detection | [demo](examples/rtmo) |||||
| [YOLOPv2](https://arxiv.org/abs/2208.11434) | Panoptic Driving Perception | [demo](examples/yolop) |||||
| [Depth-Anything<br />v1,v2](https://github.com/LiheYoung/Depth-Anything) | Monocular Depth Estimation | [demo](examples/depth-anything) |||||
| [Depth-Anything<br />(v1, v2)](https://github.com/LiheYoung/Depth-Anything) | Monocular Depth Estimation | [demo](examples/depth-anything) |||||
| [MODNet](https://github.com/ZHKKKe/MODNet) | Image Matting | [demo](examples/modnet) |||||

## Installation
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