README.md · equalman/yolov5-ov2021

# yolov5-ov2021

#### Description
基于c++/openvino 2021r4的yolov5推理实现

#### Software Architecture
代码基于[Intel官方OpenVINO 2021r4](https://gitee.com/openvinotoolkit-prc/openvino) 的例程修改而来  
用cmake生成并编译VS2017项目，代码用于演示OpenVINO做yolov5模型推理的使用流程  
需要Windows10，VisualStudio 2017和Intel的集成显卡（如果做GPU INT8推理想得到最好性能，最低GPU硬件需求要用Gen12显卡-即tigerlake集显)

#### Installation

1.  openvino2021.4

#### Instructions

1.  打开VS的x64 Native Tools Command Prompt for VS 2017窗口
2.  运行"c:\Program Files (x86)\Intel\openvino_2021\bin\setupvars.bat"初始化openvino开发环境
3.  修改源码里推理硬件类型CPU或GPU，图片和IR模型的路径，指向本地文件所在的路径
```
int main(int argc, char *argv[]) {
	try {

string FLAGS_d = "CPU"; //"GPU";
		//string FLAGS_m = "yolov5l_v4.xml";
		//string FLAGS_m = "yolov5l_v4_int8_cpu.xml";
		//string FLAGS_m = "yolov5l_v4_640.xml";
		string FLAGS_m = "yolov5l_v4_640_int8_cpu.xml"; 
		string FLAGS_i = "bus.jpg";
		//string FLAGS_i = "zidane.jpg";
```

4.  运行命令，即可生成程序

```
mkdir build
cd build
cmake -G "Visual Studio 15 2017 Win64" -DCMAKE_BUILD_TYPE=Release ..
cmake --build . --config Release

```
5.  运行程序

```
yolov5-ov2021.exe
```

#### Contribution

1.  Fork the repository
2.  Create Feat_xxx branch
3.  Commit your code
4.  Create Pull Request

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equalman/yolov5-ov2021

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