* Update imageproc crates

* Add top-p method for sampling

* Add SVTR for text recognition & bug fix
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Jamjamjon
2024-04-06 16:16:53 +08:00
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parent ce9a416b71
commit a0d410b46d
48 changed files with 1621 additions and 990 deletions

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@ -4,34 +4,35 @@ A Rust library integrated with **ONNXRuntime**, providing a collection of **Comp
## Supported Models
| Model | Example | CUDA<br />f32 | CUDA<br />f16 | TensorRT<br />f32 | TensorRT<br />f16 |
| :-----------------------------: | :----------------------: | :-----------: | :-----------: | :------------------------: | :-----------------------: |
| **YOLOv8-detection** | [demo](examples/yolov8) | ✅ | ✅ | ✅ | ✅ |
| **YOLOv8-pose** | [demo](examples/yolov8) | ✅ | ✅ | ✅ | ✅ |
| **YOLOv8-classification** | [demo](examples/yolov8) | ✅ | ✅ | ✅ | ✅ |
| **YOLOv8-segmentation** | [demo](examples/yolov8) | ✅ | ✅ | ✅ | ✅ |
| **YOLOv8-OBB** | TODO | TODO | TODO | TODO | TODO |
| **YOLOv9** | [demo](examples/yolov9) | ✅ | ✅ | ✅ | ✅ |
| **RT-DETR** | [demo](examples/rtdetr) | ✅ | ✅ | ✅ | ✅ |
| **FastSAM** | [demo](examples/fastsam) | ✅ | ✅ | ✅ | ✅ |
| **YOLO-World** | [demo](examples/yolo-world) | ✅ | ✅ | ✅ | ✅ |
| **DINOv2** | [demo](examples/dinov2) | ✅ | ✅ | ✅ | ✅ |
| **CLIP** | [demo](examples/clip) | ✅ | ✅ | ✅ visual<br />❌ textual | ✅ visual<br />❌ textual |
| **BLIP** | [demo](examples/blip) | ✅ | ✅ | ✅ visual<br />❌ textual | ✅ visual<br />❌ textual |
| [**DB(Text Detection)**](https://arxiv.org/abs/1911.08947) | [demo](examples/db) | ✅ | ❌ | ✅ | ✅ |
| **SVTR, TROCR** | TODO | TODO | TODO | TODO | TODO |
| Model | Example | CUDA<br />f32 | CUDA<br />f16 | TensorRT<br />f32 | TensorRT<br />f16 |
| :---------------------------------------------------------------: | :----------------------: | :-----------: | :-----------: | :------------------------: | :-----------------------: |
| **YOLOv8-detection** | [demo](examples/yolov8) | ✅ | ✅ | ✅ | ✅ |
| **YOLOv8-pose** | [demo](examples/yolov8) | ✅ | ✅ | ✅ | ✅ |
| **YOLOv8-classification** | [demo](examples/yolov8) | ✅ | ✅ | ✅ | ✅ |
| **YOLOv8-segmentation** | [demo](examples/yolov8) | ✅ | ✅ | ✅ | ✅ |
| **YOLOv8-OBB** | TODO | TODO | TODO | TODO | TODO |
| **YOLOv9** | [demo](examples/yolov9) | ✅ | ✅ | ✅ | ✅ |
| **RT-DETR** | [demo](examples/rtdetr) | ✅ | ✅ | ✅ | ✅ |
| **FastSAM** | [demo](examples/fastsam) | ✅ | ✅ | ✅ | ✅ |
| **YOLO-World** | [demo](examples/yolo-world) | ✅ | ✅ | ✅ | ✅ |
| **DINOv2** | [demo](examples/dinov2) | ✅ | ✅ | ✅ | ✅ |
| **CLIP** | [demo](examples/clip) | ✅ | ✅ | ✅ visual<br />❌ textual | ✅ visual<br />❌ textual |
| **BLIP** | [demo](examples/blip) | ✅ | ✅ | ✅ visual<br />❌ textual | ✅ visual<br />❌ textual |
| [**DB(Text Detection)**](https://arxiv.org/abs/1911.08947) | [demo](examples/db) | ✅ | ❌ | ✅ | ✅ |
| [**SVTR(Text Recognition)**](https://arxiv.org/abs/2205.00159) | [demo](examples/svtr) | | | | |
## Solution Models
Additionally, this repo also provides some solution models such as pedestrian `fall detection`, `head detection`, `trash detection`, and more.
| Model | Example |
| :-------------------------------------------------------: | :------------------------------: |
| **face-landmark detection**<br />**人脸 & 关键点检测** | [demo](examples/yolov8-face) |
| **head detection**<br /> **人头检测** | [demo](examples/yolov8-head) |
| **fall detection**<br /> **摔倒检测** | [demo](examples/yolov8-falldown) |
| **trash detection**<br /> **垃圾检测** | [demo](examples/yolov8-plastic-bag) |
| **text detection(PPOCR-det v3, v4)**<br />**PPOCR文本检测** | [demo](examples/db) |
| Model | Example |
| :--------------------------------------------------------------------------------: | :------------------------------: |
| **text detection<br />(PPOCR-det v3, v4)**<br />**通用文本检测** | [demo](examples/db) |
| **text recognition<br />(PPOCR-rec v3, v4)**<br />**中英文-文本识别** | [demo](examples/svtr) |
| **face-landmark detection**<br />**人脸 & 关键点检测** | [demo](examples/yolov8-face) |
| **head detection**<br /> **人头检测** | [demo](examples/yolov8-head) |
| **fall detection**<br /> **摔倒检测** | [demo](examples/yolov8-falldown) |
| **trash detection**<br /> **垃圾检测** | [demo](examples/yolov8-plastic-bag) |
## Demo
@ -60,27 +61,42 @@ check **[ort guide](https://ort.pyke.io/setup/linking)**
```shell
cargo add --git https://github.com/jamjamjon/usls
# or
cargo add usls
```
#### 3. Set `Options` and build model
```Rust
let options = Options::default()
.with_model("../models/yolov8m-seg-dyn-f16.onnx")
.with_trt(0) // using cuda(0) by default
// when model with dynamic shapes
.with_i00((1, 2, 4).into()) // dynamic batch
.with_i02((416, 640, 800).into()) // dynamic height
.with_i03((416, 640, 800).into()) // dynamic width
.with_confs(&[0.4, 0.15]) // person: 0.4, others: 0.15
.with_dry_run(3)
.with_saveout("YOLOv8"); // save results
.with_model("../models/yolov8m-seg-dyn-f16.onnx");
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)
```
- 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
```
- 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
```
- Go check [Options](src/options.rs) for more model options.
#### 4. Prepare inputs, and then you're ready to go
- Build `DataLoader` to load images
@ -98,10 +114,17 @@ for (xs, _paths) in dl {
- Or simply read one image
```Rust
let x = DataLoader::try_read("./assets/bus.jpg")?;
let _y = model.run(&[x])?;
let x = vec![DataLoader::try_read("./assets/bus.jpg")?];
let y = model.run(&x)?;
```
#### 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