虹软离线人脸识别 ArcFace 2.0 Demo [C++]

    环境： win10（10.0.16299.0）+ VS2017
    sdk版本：ArcFace v2.0
    OPENCV3.43版本
    x64平台Debug、Release配置都已通过编译

下载地址：https://download.csdn.net/download/cngwj/10763108

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配置过程

->0x01  下载sdk：

  虹安sdk https://ai.arcsoft.com.cn

 

->0x02  工程配置：

1、 添加工程的头文件目录：

a) 右键单击工程名, 选择属性---配置属性---c/c++---常规---附加包含目录

b) 添加头文件存放目录

2、 添加文件引用的 lib 静态库路径：

a) 右键单击工程名，选择属性---配置属性---链接器---常规---附加库目录

b) 添加 lib 文件存放

3、 添加工程引用的 lib 库：
a) 右键单击工程名，选择属性---配置属性---链接器---输入---附加依赖项
b) 添加依赖的 lib 库名称

4、自定义可执行文件输出目录

5、 添加工程引用的 dll 动态库：

a) 把引用的 dll 放到工程的可执行文件所在的目录下（复制到Build目录）

6、添加自己申请的APPID

 

->0x03  参考代码

/************************************************************************
* Copyright(c) 2018
* All rights reserved.
* File: samplecode.cpp
* Brief: Powered by ArcSoft
	环境： win10（10.0.16299.0）+ VS2017
	sdk版本：ArcFace v2.0
	x64平台Debug、Release配置都已通过编译
* Version: 0.1
* Author: 一念无明
* Email: [email protected]
* Date: 2018.11.3
* History:
2018.11.3 建立项目 


************************************************************************/
#include "pch.h"
#include "arcsoft_face_sdk.h"//接口文件
#include "amcomdef.h"//平台文件
#include "asvloffscreen.h"//平台文件
#include "merror.h"//错误码文件
#include  //目录操作
#include   
#include 
#include 
#include 

using namespace std;
using namespace cv;

#pragma comment(lib, "libarcsoft_face_engine.lib")
#define APPID ""
#define SDKKey ""
#define MERR_ASF_BASE_ALREADY_ACTIVATED 90114 //SDK已激活 	
#define SafeFree(p) { if ((p)) free(p); (p) = NULL; }
#define SafeArrayDelete(p) { if ((p)) delete [] (p); (p) = NULL; } 
#define SafeDelete(p) { if ((p)) delete (p); (p) = NULL; } 

int main()
{
	//激活SDK
	MRESULT res = ASFActivation(APPID, SDKKey);
	if (MOK != res && MERR_ASF_BASE_ALREADY_ACTIVATED != res)
		printf("ALActivation fail: %d\n", res);
	else
		printf("ALActivation sucess: %d\n", res);

	//初始化引擎
	MHandle handle = NULL;
	MInt32 mask = ASF_FACE_DETECT | ASF_FACERECOGNITION | ASF_AGE | ASF_GENDER | ASF_FACE3DANGLE;
	res = ASFInitEngine(ASF_DETECT_MODE_IMAGE, ASF_OP_0_ONLY, 16, 5, mask, &handle);
	if (res != MOK)
		printf("ALInitEngine fail: %d\n", res);
	else
		printf("ALInitEngine sucess: %d\n", res);

	// 人脸检测
	IplImage* img = cvLoadImage("../Build\\1.bmp");//图片宽度需符合4的倍数
	IplImage* img1 = cvLoadImage("../Build\\2.bmp");

	if (img && img1)
	{
		ASF_MultiFaceInfo detectedFaces1 = { 0 };//多人脸信息；
		ASF_SingleFaceInfo SingleDetectedFaces1 = { 0 };
		ASF_FaceFeature feature1 = { 0 };
		ASF_FaceFeature copyfeature1 = { 0 };
		res = ASFDetectFaces(handle, img->width, img->height, ASVL_PAF_RGB24_B8G8R8, (MUInt8*)img->imageData, &detectedFaces1);
		if (MOK == res)
		{
			SingleDetectedFaces1.faceRect.left = detectedFaces1.faceRect[0].left;
			SingleDetectedFaces1.faceRect.top = detectedFaces1.faceRect[0].top;
			SingleDetectedFaces1.faceRect.right = detectedFaces1.faceRect[0].right;
			SingleDetectedFaces1.faceRect.bottom = detectedFaces1.faceRect[0].bottom;
			SingleDetectedFaces1.faceOrient = detectedFaces1.faceOrient[0];
			//单人脸特征提取
			res = ASFFaceFeatureExtract(handle, img->width, img->height, ASVL_PAF_RGB24_B8G8R8, (MUInt8*)img->imageData, &SingleDetectedFaces1, &feature1);
			if (res == MOK)
			{
				//拷贝feature
				copyfeature1.featureSize = feature1.featureSize;
				copyfeature1.feature = (MByte *)malloc(feature1.featureSize);
				memset(copyfeature1.feature, 0, feature1.featureSize);
				memcpy(copyfeature1.feature, feature1.feature, feature1.featureSize);
			}
			else
				printf("ASFFaceFeatureExtract 1 fail: %d\n", res);
		}
		else
			printf("ASFDetectFaces 1 fail: %d\n", res);

		//第二张人脸提取特征
		ASF_MultiFaceInfo	detectedFaces2 = { 0 };
		ASF_SingleFaceInfo SingleDetectedFaces2 = { 0 };
		ASF_FaceFeature feature2 = { 0 };
		res = ASFDetectFaces(handle, img1->width, img1->height, ASVL_PAF_RGB24_B8G8R8, (MUInt8*)img1->imageData, &detectedFaces2);
		if (MOK == res)
		{
			SingleDetectedFaces2.faceRect.left = detectedFaces2.faceRect[0].left;
			SingleDetectedFaces2.faceRect.top = detectedFaces2.faceRect[0].top;
			SingleDetectedFaces2.faceRect.right = detectedFaces2.faceRect[0].right;
			SingleDetectedFaces2.faceRect.bottom = detectedFaces2.faceRect[0].bottom;
			SingleDetectedFaces2.faceOrient = detectedFaces2.faceOrient[0];

			res = ASFFaceFeatureExtract(handle, img1->width, img1->height, ASVL_PAF_RGB24_B8G8R8, (MUInt8*)img1->imageData, &SingleDetectedFaces2, &feature2);
			if (MOK != res)
				printf("ASFFaceFeatureExtract 2 fail: %d\n", res);
		}
		else
			printf("ASFDetectFaces 2 fail: %d\n", res);

		// 单人脸特征比对
		MFloat confidenceLevel;
		res = ASFFaceFeatureCompare(handle, ©feature1, &feature2, &confidenceLevel);
		if (res != MOK)
			printf("ASFFaceFeatureCompare fail: %d\n", res);
		else
			printf("ASFFaceFeatureCompare sucess: %lf\n", confidenceLevel);

		// 人脸信息检测
		MInt32 processMask = ASF_AGE | ASF_GENDER | ASF_FACE3DANGLE;
		res = ASFProcess(handle, img1->width, img1->height, ASVL_PAF_RGB24_B8G8R8, (MUInt8*)img1->imageData, &detectedFaces1, processMask);
		if (res != MOK)
			printf("ASFProcess fail: %d\n", res);
		else
			printf("ASFProcess sucess: %d\n", res);

		// 获取年龄
		ASF_AgeInfo ageInfo = { 0 };
		res = ASFGetAge(handle, &ageInfo);
		//printf("年龄: %d\n", ageInfo);
		if (res != MOK)
			printf("ASFGetAge fail: %d\n", res);
		else
			printf("ASFGetAge sucess: %d\n", res);

		// 获取性别
		ASF_GenderInfo genderInfo = { 0 };
		res = ASFGetGender(handle, &genderInfo);
		if (res != MOK)
			printf("ASFGetGender fail: %d\n", res);
		else
			printf("ASFGetGender sucess: %d\n", res);

		// 获取3D角度
		ASF_Face3DAngle angleInfo = { 0 };
		res = ASFGetFace3DAngle(handle, &angleInfo);
		if (res != MOK)
			printf("ASFGetFace3DAngle fail: %d\n", res);
		else
			printf("ASFGetFace3DAngle sucess: %d\n", res);

		SafeFree(copyfeature1.feature);		//释放内存
	}

	//获取版本信息
	const ASF_VERSION* pVersionInfo = ASFGetVersion(handle);
	printf("版本号: %s\n", pVersionInfo->Version);

	//反初始化
	res = ASFUninitEngine(handle);
	if (res != MOK)
		printf("ALUninitEngine fail: %d\n", res);
	else
		printf("ALUninitEngine sucess: %d\n", res);

	getchar();
	return 0;
}

用其它照片测试需要注意图片的宽度

 

&待续