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[Doc] Update English version of some documents (#1084)
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# SCRFD C++部署示例
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English | [简体中文](README_CN.md)
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# SCRFD C++ Deployment Example
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本目录下提供`infer.cc`快速完成SCRFD在NPU加速部署的示例。
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This directory provides examples that `infer.cc` fast finishes the deployment of SCRFD on NPU.
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在部署前，需确认以下两个步骤:
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Two steps before deployment:
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1. 软硬件环境满足要求
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2. 根据开发环境，下载预编译部署库或者从头编译FastDeploy仓库
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1. The environment of software and hardware should meet the requirements.
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2. Download the precompiled deployment repo or deploy the FastDeploy repository from scratch according to your development environment.
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以上步骤请参考[RK2代NPU部署库编译](../../../../../../docs/cn/build_and_install/rknpu2.md)实现
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Refer to [RK2 generation NPU deployment repository compilation](../../../../../../docs/cn/build_and_install/rknpu2.md) for the steps above
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## 生成基本目录文件
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## Generate the base directory file
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该例程由以下几个部分组成
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It consists of the following parts
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```text
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.
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├── CMakeLists.txt
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├── build # 编译文件夹
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├── image # 存放图片的文件夹
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├── build # Compile folder
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├── image # The folder to save images
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├── infer.cc
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├── model # 存放模型文件的文件夹
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└── thirdpartys # 存放sdk的文件夹
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├── model # The folder to save model files
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└── thirdpartys # The folder to save sdk
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```
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首先需要先生成目录结构
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Generate the directory first
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```bash
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mkdir build
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mkdir images
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@@ -30,23 +31,22 @@ mkdir model
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mkdir thirdpartys
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```
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## 编译
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## Compile
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### 编译并拷贝SDK到thirdpartys文件夹
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### Compile and copy the SDK into the thirdpartys folder
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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
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fastdeploy-0.7.0目录，请移动它至thirdpartys目录下.
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Refer to [RK2 generation NPU deployment repository compilation](../../../../../../docs/cn/build_and_install/rknpu2.md). It will enerate fastdeploy-0.7.0 directory in the build directory after compilation. Move it to the thirdpartys directory.
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### 拷贝模型文件至model文件夹
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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。
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### Copy the model files to the model folder
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Refer to [SCRFD model conversion](../README.md) to convert SCRFD ONNX model to RKNN model and move it to the model folder.
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### 准备测试图片至image文件夹
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### Prepare test images to the image folder
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```bash
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wget https://raw.githubusercontent.com/DefTruth/lite.ai.toolkit/main/examples/lite/resources/test_lite_face_detector_3.jpg
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cp test_lite_face_detector_3.jpg ./images
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```
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### 编译example
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### Compile example
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```bash
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cd build
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make -j8
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make install
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```
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## 运行例程
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## Running routines
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```bash
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cd ./build/install
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export LD_LIBRARY_PATH=${PWD}/lib:${LD_LIBRARY_PATH}
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./rknpu_test
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```
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运行完成可视化结果如下图所示
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The visualized result after running is as follows
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<img width="640" src="https://user-images.githubusercontent.com/67993288/184301789-1981d065-208f-4a6b-857c-9a0f9a63e0b1.jpg">
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- [模型介绍](../../README.md)
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- [Python部署](../python/README.md)
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- [视觉模型预测结果](../../../../../../docs/api/vision_results/README.md)
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- [Model Description](../../README.md)
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- [Python Deployment](../python/README.md)
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- [Vision Model Prediction Results](../../../../../../docs/api/vision_results/README.md)
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