From 58b0cfe7f5bd463c7d9aa56575269a4f544bf8a2 Mon Sep 17 00:00:00 2001 From: Jamjamjon <51357717+jamjamjon@users.noreply.github.com> Date: Sun, 14 Apr 2024 15:29:09 +0800 Subject: [PATCH] Revert "Add YOLOPv2 & Face-Parsing model (#3)" This reverts commit 51b75e9a210d667c8aeb344755b85a2a31d9b788. --- README.md | 120 ++++---- assets/car.jpg | Bin 67278 -> 0 bytes assets/nini.png | Bin 417337 -> 0 bytes convert2f16.py | 8 - examples/blip/README.md | 32 ++- examples/clip/README.md | 40 ++- examples/db/README.md | 21 +- examples/db/main.rs | 2 +- examples/face-parsing/README.md | 93 ------- examples/face-parsing/demo.png | Bin 458433 -> 0 bytes examples/face-parsing/main.rs | 33 --- examples/fastsam/README.md | 19 +- examples/rtdetr/README.md | 17 +- examples/rtmo/README.md | 33 ++- examples/svtr/README.md | 22 +- examples/yolo-world/README.md | 29 +- examples/yolop/README.md | 14 - examples/yolop/demo.png | Bin 943609 -> 0 bytes examples/yolop/main.rs | 26 -- examples/yolov8-face/README.md | 21 +- examples/yolov8-falldown/README.md | 20 +- examples/yolov8-head/README.md | 20 +- examples/yolov8-trash/README.md | 20 +- examples/yolov8/README.md | 33 ++- examples/yolov8/demo-det.jpg | Bin 0 -> 239181 bytes examples/yolov8/demo-det.png | Bin 1890318 -> 0 bytes examples/yolov8/demo-pose.jpg | Bin 0 -> 244905 bytes examples/yolov8/demo-pose.png | Bin 1901072 -> 0 bytes examples/yolov8/demo-seg.jpg | Bin 0 -> 242638 bytes examples/yolov8/demo-seg.png | Bin 1687043 -> 0 bytes examples/yolov8/main.rs | 16 +- examples/yolov9/README.md | 17 +- src/annotator.rs | 339 +++++++++++++++++++++++ src/{core => }/bbox.rs | 1 - src/core/annotator.rs | 429 ----------------------------- src/core/keypoint.rs | 63 ----- src/core/mask.rs | 28 -- src/core/mod.rs | 45 --- src/{core => }/dataloader.rs | 0 src/{core => }/device.rs | 0 src/{core => }/dynconf.rs | 0 src/{core => }/embedding.rs | 0 src/{core => }/engine.rs | 9 +- src/keypoint.rs | 35 +++ src/lib.rs | 42 ++- src/{core => }/logits_sampler.rs | 0 src/{core => }/metric.rs | 0 src/{core => }/min_opt_max.rs | 0 src/models/db.rs | 19 +- src/models/mod.rs | 2 - src/models/rtdetr.rs | 9 +- src/models/rtmo.rs | 2 - src/models/yolo.rs | 77 +++--- src/models/yolop.rs | 162 ----------- src/{core => }/ops.rs | 40 +-- src/{core => }/options.rs | 11 +- src/{core => }/point.rs | 0 src/{core => }/polygon.rs | 11 +- src/{core => }/rect.rs | 4 +- src/{core => }/rotated_rect.rs | 0 src/{core => }/tokenizer_stream.rs | 0 src/{core => }/utils.rs | 20 -- src/{core => }/ys.rs | 47 ++-- 63 files changed, 884 insertions(+), 1167 deletions(-) delete mode 100644 assets/car.jpg delete mode 100644 assets/nini.png delete mode 100644 convert2f16.py delete mode 100644 examples/face-parsing/README.md delete mode 100644 examples/face-parsing/demo.png delete mode 100644 examples/face-parsing/main.rs delete mode 100644 examples/yolop/README.md delete mode 100644 examples/yolop/demo.png delete mode 100644 examples/yolop/main.rs create mode 100644 examples/yolov8/demo-det.jpg delete mode 100644 examples/yolov8/demo-det.png create mode 100644 examples/yolov8/demo-pose.jpg delete mode 100644 examples/yolov8/demo-pose.png create mode 100644 examples/yolov8/demo-seg.jpg delete mode 100644 examples/yolov8/demo-seg.png create mode 100644 src/annotator.rs rename src/{core => }/bbox.rs (99%) delete mode 100644 src/core/annotator.rs delete mode 100644 src/core/keypoint.rs delete mode 100644 src/core/mask.rs delete mode 100644 src/core/mod.rs rename src/{core => }/dataloader.rs (100%) rename src/{core => }/device.rs (100%) rename src/{core => }/dynconf.rs (100%) rename src/{core => }/embedding.rs (100%) rename src/{core => }/engine.rs (97%) create mode 100644 src/keypoint.rs rename src/{core => }/logits_sampler.rs (100%) rename src/{core => }/metric.rs (100%) rename src/{core => }/min_opt_max.rs (100%) delete mode 100644 src/models/yolop.rs rename src/{core => }/ops.rs (72%) rename src/{core => }/options.rs (95%) rename src/{core => }/point.rs (100%) rename src/{core => }/polygon.rs (98%) rename src/{core => }/rect.rs (98%) rename src/{core => }/rotated_rect.rs (100%) rename src/{core => }/tokenizer_stream.rs (100%) rename src/{core => }/utils.rs (92%) rename src/{core => }/ys.rs (59%) diff --git a/README.md b/README.md index 4c4b618..5c23bfe 100644 --- a/README.md +++ b/README.md @@ -1,50 +1,49 @@ # usls -A Rust library integrated with **ONNXRuntime**, providing a collection of **Computer Vison** and **Vision-Language** models including [YOLOv8](https://github.com/ultralytics/ultralytics), [YOLOv9](https://github.com/WongKinYiu/yolov9), [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) and others. - +A Rust library integrated with **ONNXRuntime**, providing a collection of **Computer Vison** and **Vision-Language** models including [YOLOv8](https://github.com/ultralytics/ultralytics), [YOLOv9](https://github.com/WongKinYiu/yolov9), [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) and others. Many execution providers are supported, sunch as `CUDA`, `TensorRT` and `CoreML`. ## Supported Models -| Model | Task / Type | Example | CUDA
f32 | CUDA
f16 | TensorRT
f32 | TensorRT
f16 | -| :---------------------------------------------------------------: | :------------------------------------------------------------------------: | :----------------------: | :-----------: | :-----------: | :------------------------: | :-----------------------: | -| [YOLOv8-detection](https://github.com/ultralytics/ultralytics) | Object Detection | [demo](examples/yolov8) | ✅ | ✅ | ✅ | ✅ | -| [YOLOv8-pose](https://github.com/ultralytics/ultralytics) | Keypoint Detection | [demo](examples/yolov8) | ✅ | ✅ | ✅ | ✅ | -| [YOLOv8-classification](https://github.com/ultralytics/ultralytics) | Classification | [demo](examples/yolov8) | ✅ | ✅ | ✅ | ✅ | -| [YOLOv8-segmentation](https://github.com/ultralytics/ultralytics) | Instance Segmentation | [demo](examples/yolov8) | ✅ | ✅ | ✅ | ✅ | -| [YOLOv9](https://github.com/WongKinYiu/yolov9) | Object Detection | [demo](examples/yolov9) | ✅ | ✅ | ✅ | ✅ | -| [RT-DETR](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) | ✅ | ✅ | ✅ | ✅ | -| [DINOv2](https://github.com/facebookresearch/dinov2) | Vision-Self-Supervised | [demo](examples/dinov2) | ✅ | ✅ | ✅ | ✅ | -| [CLIP](https://github.com/openai/CLIP) | Vision-Language | [demo](examples/clip) | ✅ | ✅ | ✅ visual
❌ textual | ✅ visual
❌ textual | -| [BLIP](https://github.com/salesforce/BLIP) | Vision-Language | [demo](examples/blip) | ✅ | ✅ | ✅ visual
❌ textual | ✅ visual
❌ 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) | ✅ | ✅ | ✅ | ✅ | +| Model | Task / Type | Example | CUDA
f32 | CUDA
f16 | TensorRT
f32 | TensorRT
f16 | +| :---------------------------------------------------------------: | :----------------------: |:----------------------: | :-----------: | :-----------: | :------------------------: | :-----------------------: | +| **[YOLOv8-detection](https://github.com/ultralytics/ultralytics)** | Object Detection | [demo](examples/yolov8) | ✅ | ✅ | ✅ | ✅ | +| **[YOLOv8-pose](https://github.com/ultralytics/ultralytics)** | Keypoint Detection | [demo](examples/yolov8) | ✅ | ✅ | ✅ | ✅ | +| **[YOLOv8-classification](https://github.com/ultralytics/ultralytics)** | Classification | [demo](examples/yolov8) | ✅ | ✅ | ✅ | ✅ | +| **[YOLOv8-segmentation](https://github.com/ultralytics/ultralytics)** | Instance Segmentation | [demo](examples/yolov8) | ✅ | ✅ | ✅ | ✅ | +| **[YOLOv9](https://github.com/WongKinYiu/yolov9)** | Object Detection | [demo](examples/yolov9) | ✅ | ✅ | ✅ | ✅ | +| **[RT-DETR](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) | ✅ | ✅ | ✅ | ✅ | +| **[DINOv2](https://github.com/facebookresearch/dinov2)** | Vision-Self-Supervised | [demo](examples/dinov2) | ✅ | ✅ | ✅ | ✅ | +| **[CLIP](https://github.com/openai/CLIP)** | Vision-Language | [demo](examples/clip) | ✅ | ✅ | ✅ visual
❌ textual | ✅ visual
❌ textual | +| **[BLIP](https://github.com/salesforce/BLIP)** | Vision-Language | [demo](examples/blip) | ✅ | ✅ | ✅ visual
❌ textual | ✅ visual
❌ 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) | ✅ | ✅ | ❌ | ❌ | + ## Solution Models Additionally, this repo also provides some solution models. -| Model | Example | Result | -| :------------------------------------------------------------: | :------------------------------: | :------------------------------: | -| Lane Line Segmentation
Drivable Area Segmentation
Car Detection
车道线-可行驶区域-车辆检测 | [demo](examples/yolov8-plastic-bag) || -| Face Parsing
人脸解析 | [demo](examples/face-parsing) | | -| Text Detection
(PPOCR-det v3, v4)
通用文本检测 | [demo](examples/db) || -| Text Recognition
(PPOCR-rec v3, v4)
中英文-文本识别 | [demo](examples/svtr) || -| Face-Landmark Detection
人脸 & 关键点检测 | [demo](examples/yolov8-face) || -| Head Detection
人头检测 | [demo](examples/yolov8-head) || -| Fall Detection
摔倒检测 | [demo](examples/yolov8-falldown) | | -| Trash Detection
垃圾检测 | [demo](examples/yolov8-plastic-bag) || +| Model | Example | +| :--------------------------------------------------------------------------------: | :------------------------------: | +| **text detection
(PPOCR-det v3, v4)**
**通用文本检测** | [demo](examples/db) | +| **text recognition
(PPOCR-rec v3, v4)**
**中英文-文本识别** | [demo](examples/svtr) | +| **face-landmark detection**
**人脸 & 关键点检测** | [demo](examples/yolov8-face) | +| **head detection**
**人头检测** | [demo](examples/yolov8-head) | +| **fall detection**
**摔倒检测** | [demo](examples/yolov8-falldown) | +| **trash detection**
**垃圾检测** | [demo](examples/yolov8-plastic-bag) | ## Demo ``` -cargo run -r --example yolov8 # yolov9, blip, clip, dinov2, svtr, db, yolo-world... +cargo run -r --example yolov8 # fastsam, yolov9, blip, clip, dinov2, yolo-world... ``` -## Installation +## Integrate into your own project + +#### 1. Install [ort](https://github.com/pykeio/ort) check **[ort guide](https://ort.pyke.io/setup/linking)** @@ -59,16 +58,13 @@ check **[ort guide](https://ort.pyke.io/setup/linking)** - -## Integrate into your own project - -#### 1. Add `usls` as a dependency to your project's `Cargo.toml` +#### 2. Add `usls` as a dependency to your project's `Cargo.toml` ```shell cargo add --git https://github.com/jamjamjon/usls ``` -#### 2. Set `Options` and build model +#### 3. Set `Options` and build model ```Rust let options = Options::default() @@ -77,29 +73,32 @@ let mut model = YOLO::new(&options)?; ``` - If you want to run your model with TensorRT or CoreML + ```Rust + let options = Options::default() + .with_trt(0) // using cuda by default + // .with_coreml(0) + ``` + - ```Rust - let options = Options::default() - .with_trt(0) // using cuda by default - // .with_coreml(0) - ``` - If your model has dynamic shapes + ```Rust + let options = Options::default() + .with_i00((1, 2, 4).into()) // dynamic batch + .with_i02((416, 640, 800).into()) // dynamic height + .with_i03((416, 640, 800).into()) // dynamic width + ``` - ```Rust - let options = Options::default() - .with_i00((1, 2, 4).into()) // dynamic batch - .with_i02((416, 640, 800).into()) // dynamic height - .with_i03((416, 640, 800).into()) // dynamic width - ``` - If you want to set a confidence level for each category + ```Rust + let options = Options::default() + .with_confs(&[0.4, 0.15]) // person: 0.4, others: 0.15 + ``` - ```Rust - let options = Options::default() - .with_confs(&[0.4, 0.15]) // person: 0.4, others: 0.15 - ``` - Go check [Options](src/options.rs) for more model options. -#### 3. Prepare inputs, and then you're ready to go + + +#### 4. Prepare inputs, and then you're ready to go - Build `DataLoader` to load images @@ -120,9 +119,22 @@ let x = vec![DataLoader::try_read("./assets/bus.jpg")?]; let y = model.run(&x)?; ``` -#### 4. Annotate and save results - +#### 5. Annotate and save results ```Rust let annotator = Annotator::default().with_saveout("YOLOv8"); annotator.annotate(&x, &y); ``` + + +## Script: converte ONNX model from `float32` to `float16` + +```python +import onnx +from pathlib import Path +from onnxconverter_common import float16 + +model_f32 = "onnx_model.onnx" +model_f16 = float16.convert_float_to_float16(onnx.load(model_f32)) +saveout = Path(model_f32).with_name(Path(model_f32).stem + "-f16.onnx") +onnx.save(model_f16, saveout) +``` diff --git a/assets/car.jpg b/assets/car.jpg deleted file mode 100644 index 8981747b7db21888ed464e9780f8887e3c2af5e0..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 67278 zcmbTdbx<5#^es9tI0Oq2WN_Eu?gV!k96}f*xC~BkNy3LaWN;tcJy>9H2r@V!XmE$1 zdHn8ub?g55>g}p?`gHB8?p4*c*50fCE&h835Ndqzfd~on2=nsr@$v%xtpF4NSorva z_=K?K|{6ciNH)YLEY|13cuYHB)qIvN^k8hUz0Mn(<}Ha0#!eo0A{ ze?L$P0RR+ql>Zfg|2I%jfoSL$m{{02xF`VN|IWS4|2zACB?$qjC_o@88W0^F4ejMH 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