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# YOLOv5 C++部署示例
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English | [简体中文](README_CN.md)
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# YOLOv5 C++ Deployment Example
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本目录下提供`infer.cc`快速完成yolov5s模型在SOPHGO BM1684x板子上加速部署的示例。
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`infer.cc` in this directory provides a quick example of accelerated deployment of the yolov5s model on SOPHGO BM1684x.
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在部署前,需确认以下两个步骤:
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Before deployment, the following two steps need to be confirmed:
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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,从头编译FastDeploy仓库
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1. Hardware and software environment meets the requirements.
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2. Compile the FastDeploy repository from scratch according to the development environment.
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以上步骤请参考[SOPHGO部署库编译](../../../../../../docs/cn/build_and_install/sophgo.md)实现
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For the above steps, please refer to [How to Build SOPHGO Deployment Environment](../../../../../../docs/en/build_and_install/sophgo.md).
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## 生成基本目录文件
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## Generate Basic Directory Files
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该例程由以下几个部分组成
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The routine 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 # Folder for 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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└── model # Folder for models
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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 SDK to folder thirdpartys
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请参考[SOPHGO部署库编译](../../../../../../docs/cn/build_and_install/sophgo.md)仓库编译SDK,编译完成后,将在build目录下生成fastdeploy-0.0.3目录.
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Please refer to [How to Build SOPHGO Deployment Environment](../../../../../../docs/en/build_and_install/sophgo.md) to compile SDK.After compiling, the fastdeploy-0.0.3 directory will be created in the build directory.
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### 拷贝模型文件,以及配置文件至model文件夹
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将Paddle模型转换为SOPHGO bmodel模型,转换步骤参考[文档](../README.md)
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将转换后的SOPHGO bmodel模型文件拷贝至model中
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### Copy model and configuration files to folder Model
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Convert Paddle model to SOPHGO bmodel model. For the conversion steps, please refer to [Document](../README.md).
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Please copy the converted SOPHGO bmodel to folder model.
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### 准备测试图片至image文件夹
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### Prepare Test Images to folder image
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```bash
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wget https://gitee.com/paddlepaddle/PaddleDetection/raw/release/2.4/demo/000000014439.jpg
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cp 000000014439.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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@@ -45,12 +46,12 @@ cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-0.0.3
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make
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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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./infer_demo model images/000000014439.jpg
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```
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- [模型介绍](../../)
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- [模型转换](../)
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- [Model Description](../../)
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- [Model Conversion](../)
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57
examples/vision/detection/yolov5/sophgo/cpp/README_CN.md
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57
examples/vision/detection/yolov5/sophgo/cpp/README_CN.md
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@@ -0,0 +1,57 @@
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[English](README.md) | 简体中文
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# YOLOv5 C++部署示例
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本目录下提供`infer.cc`快速完成yolov5s模型在SOPHGO BM1684x板子上加速部署的示例。
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在部署前,需确认以下两个步骤:
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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,从头编译FastDeploy仓库
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以上步骤请参考[SOPHGO部署库编译](../../../../../../docs/cn/build_and_install/sophgo.md)实现
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## 生成基本目录文件
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该例程由以下几个部分组成
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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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├── infer.cc
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└── model # 存放模型文件的文件夹
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```
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## 编译
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### 编译并拷贝SDK到thirdpartys文件夹
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请参考[SOPHGO部署库编译](../../../../../../docs/cn/build_and_install/sophgo.md)仓库编译SDK,编译完成后,将在build目录下生成fastdeploy-0.0.3目录.
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### 拷贝模型文件,以及配置文件至model文件夹
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将Paddle模型转换为SOPHGO bmodel模型,转换步骤参考[文档](../README.md)
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将转换后的SOPHGO bmodel模型文件拷贝至model中
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### 准备测试图片至image文件夹
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```bash
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wget https://gitee.com/paddlepaddle/PaddleDetection/raw/release/2.4/demo/000000014439.jpg
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cp 000000014439.jpg ./images
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```
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### 编译example
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```bash
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cd build
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cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-0.0.3
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make
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```
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## 运行例程
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```bash
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./infer_demo model images/000000014439.jpg
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```
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- [模型介绍](../../)
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- [模型转换](../)
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