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examples/vision/facedet/scrfd/rknpu2/cpp/README_CN.md

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+[English](README.md) | 简体中文
+# SCRFD C++部署示例
+
+本目录下提供`infer.cc`快速完成SCRFD在NPU加速部署的示例。
+
+在部署前，需确认以下两个步骤:
+
+1. 软硬件环境满足要求
+2. 根据开发环境，下载预编译部署库或者从头编译FastDeploy仓库
+
+以上步骤请参考[RK2代NPU部署库编译](../../../../../../docs/cn/build_and_install/rknpu2.md)实现
+
+## 生成基本目录文件
+
+该例程由以下几个部分组成
+```text
+.
+├── CMakeLists.txt
+├── build  # 编译文件夹
+├── image  # 存放图片的文件夹
+├── infer.cc
+├── model  # 存放模型文件的文件夹
+└── thirdpartys  # 存放sdk的文件夹
+```
+
+首先需要先生成目录结构
+```bash
+mkdir build
+mkdir images
+mkdir model
+mkdir thirdpartys
+```
+
+## 编译
+
+### 编译并拷贝SDK到thirdpartys文件夹
+
+请参考[RK2代NPU部署库编译](../../../../../../docs/cn/build_and_install/rknpu2.md)仓库编译SDK，编译完成后，将在build目录下生成
+fastdeploy-0.7.0目录，请移动它至thirdpartys目录下.
+
+### 拷贝模型文件至model文件夹
+请参考[SCRFD模型转换文档](../README.md)转换SCRFD ONNX模型到RKNN模型,再将RKNN模型移动到model文件夹。
+
+### 准备测试图片至image文件夹
+```bash
+wget https://raw.githubusercontent.com/DefTruth/lite.ai.toolkit/main/examples/lite/resources/test_lite_face_detector_3.jpg
+cp test_lite_face_detector_3.jpg ./images
+```
+
+### 编译example
+
+```bash
+cd build
+cmake ..
+make -j8
+make install
+```
+## 运行例程
+
+```bash
+cd ./build/install
+export LD_LIBRARY_PATH=${PWD}/lib:${LD_LIBRARY_PATH}
+./rknpu_test
+```
+运行完成可视化结果如下图所示
+
+<img width="640" src="https://user-images.githubusercontent.com/67993288/184301789-1981d065-208f-4a6b-857c-9a0f9a63e0b1.jpg">
+
+- [模型介绍](../../README.md)
+- [Python部署](../python/README.md)
+- [视觉模型预测结果](../../../../../../docs/api/vision_results/README.md)