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[Model] Support PaddleYOLO YOLOv5 YOLOv6 YOLOv7 RTMDet models (#857)

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Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>
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totorolin
2022-12-15 11:46:13 +08:00
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examples/vision/detection/paddledetection/cpp/README.md
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# PaddleDetection C++部署示例
本目录下提供`infer_xxx.cc`快速完成PaddleDetection模型包括PPYOLOE/PicoDet/YOLOX/YOLOv3/PPYOLO/FasterRCNN在CPU/GPU，以及GPU上通过TensorRT加速部署的示例。
本目录下提供`infer_xxx.cc`快速完成PaddleDetection模型包括PPYOLOE/PicoDet/YOLOX/YOLOv3/PPYOLO/FasterRCNN/YOLOv5/YOLOv6/YOLOv7/RTMDet在CPU/GPU，以及GPU上通过TensorRT加速部署的示例。
在部署前，需确认以下两个步骤
@@ -41,7 +41,7 @@ tar xvf ppyoloe_crn_l_300e_coco.tgz
### 模型类
PaddleDetection目前支持6种模型系列，类名分别为`PPYOLOE`, `PicoDet`, `PaddleYOLOX`, `PPYOLO`, `FasterRCNN`，所有类名的构造函数和预测函数在参数上完全一致，本文档以PPYOLOE为例讲解API
PaddleDetection目前支持6种模型系列，类名分别为`PPYOLOE`, `PicoDet`, `PaddleYOLOX`, `PPYOLO`, `FasterRCNN`，`SSD`,`PaddleYOLOv5`,`PaddleYOLOv6`,`PaddleYOLOv7`,`RTMDet`所有类名的构造函数和预测函数在参数上完全一致，本文档以PPYOLOE为例讲解API
```c++
fastdeploy::vision::detection::PPYOLOE(
const string& model_file,