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# RetinaFace
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## 论文
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RetinaFace: Single-stage Dense Face Localisation in the Wild

- https://arxiv.org/pdf/1905.00641.pdf
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## 模型结构

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RetinaFace是一个经典的人脸检测模型, 采用SSD架构进行人脸检测。

<img src="./Doc/Image/RetinaFace_01.png" style="zoom:70%;" align=center>

## 算法原理

RetinaFace模型有几个主要特点:
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- 采用 FPN 特征金字塔提取多尺度特征;
- 引入 SSH 算法的 Context Modeling;
- 多任务训练,提供额外的监督信息。

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<img src="./Doc/Image/RetinaFace_04.png" style="zoom:70%;" align=center>

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## 环境配置
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### Docker(方法一)
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拉取镜像:
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```
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docker pull image.sourcefind.cn:5000/dcu/admin/base/migraphx:4.3.0-ubuntu20.04-dtk24.04.1-py3.8
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```

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创建并启动容器:

```
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docker run --shm-size 16g --network=host --name=retinaface_migraphx -v /opt/hyhal:/opt/hyhal:ro --privileged --device=/dev/kfd --device=/dev/dri --group-add video --cap-add=SYS_PTRACE --security-opt seccomp=unconfined -v $PWD/retinaface_migraphx:/home/retinaface_migraphx -it <Your Image ID> /bin/bash
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# 激活dtk
source /opt/dtk/env.sh
```

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### Dockerfile(方法二)

```
cd ./docker
docker build --no-cache -t retinaface_migraphx:2.0 .

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docker run --shm-size 16g --network=host --name=retinaface_migraphx -v /opt/hyhal:/opt/hyhal:ro --privileged --device=/dev/kfd --device=/dev/dri --group-add video --cap-add=SYS_PTRACE --security-opt seccomp=unconfined -v $PWD/retinaface_migraphx:/home/retinaface_migraphx -it <Your Image ID> /bin/bash
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# 激活dtk
source /opt/dtk/env.sh
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```

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## 数据集

根据提供的样本数据,进行人脸检测。

## 推理

### Python版本推理

下面介绍如何运行Python代码示例,Python示例的详细说明见Doc目录下的Tutorial_Python.md。

#### 设置环境变量
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```
export PYTHONPATH=/opt/dtk/lib:$PYTHONPATH
```

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#### 安装依赖
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```
# 进入python示例目录
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cd <path_to_retinaface_migraphx>/Python
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# 安装依赖
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pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple
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```

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#### 运行示例
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RetinaFace模型的推理示例程序是RetinaFace_infer_migraphx.py,在python目录下使用如下命令运行该推理示例:
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```
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python RetinaFace_infer_migraphx.py 
```

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### C++版本推理
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当使用操作系统不一样时,CMakeList需要做相应的修改:
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```
# ubuntu操作系统
${CMAKE_CURRENT_SOURCE_DIR}/depend/lib64/ 修改为 ${CMAKE_CURRENT_SOURCE_DIR}/depend/lib/

# centos操作系统
${CMAKE_CURRENT_SOURCE_DIR}/depend/lib/ 修改为 ${CMAKE_CURRENT_SOURCE_DIR}/depend/lib64/
```

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下面介绍如何运行C++代码示例,C++示例的详细说明见Doc目录下的Tutorial_Cpp.md。

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#### 构建工程
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```
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rbuild build -d depend
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```

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#### 设置环境变量
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将依赖库依赖加入环境变量LD_LIBRARY_PATH,在~/.bashrc中添加如下语句:

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当操作系统是ubuntu系统时:

```
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export LD_LIBRARY_PATH=<path_to_retinaface_migraphx>/depend/lib/:$LD_LIBRARY_PATH
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```

当操作系统是centos系统时:

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```
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export LD_LIBRARY_PATH=<path_to_retinaface_migraphx>/depend/lib64/:$LD_LIBRARY_PATH
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```

然后执行:

```
source ~/.bashrc
```

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#### 运行示例
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成功编译RetinaFace工程后,执行如下命令运行该示例:
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```
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# 进入retinaface migraphx工程根目录
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cd <path_to_retinaface_migraphx> 
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# 进入build目录
cd ./build/
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# 执行示例程序
./RetinaFace
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```

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## result

### Python版本

python程序运行结束后,会在当前目录生成RetinaFace检测结果图像。

<img src="./Resource/Images/Result_2.jpg" alt="Result_2" style="zoom:67%;" />

### C++版本

C++程序运行结束后,会在build目录生成RetinaFace人脸检测结果图像。
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<img src="./Resource/Images/Result_1.jpg" alt="Result" style="zoom:67%;" />
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### 精度



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## 应用场景

### 算法类别

`人脸检测`

### 热点应用行业

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`金融`,`交通`,`教育`
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## 源码仓库及问题反馈
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https://developer.sourcefind.cn/codes/modelzoo/retinaface_migraphx
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## 参考资料
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https://github.com/biubug6/Pytorch_Retinaface