前言
最初使用虹软视觉开放平台提供的免费SDK接入人脸识别功能,由于对人脸识别有着浓厚的兴趣,于是后来又写了2篇内容更全例子更详细的文章,欢迎阅读。
平台准备
利用虹软视觉开放平台提供的免费SDK即可快速接入人脸识别功能
官网:https://ai.arcsoft.com.cn/
创建应用
添加SDK
选择服务
选择运行平台
添加SDK后,还可添加多个不同平台的SDK
安装SDK
下载SDK
解压SDK,如解压ArcSoft_ArcFace_Java_Windows_x64_V3.0.zip
进入ArcSoft_ArcFace_Java_Windows_x64_V3.0\libs目录
在此目录进入cmd进行安装Jar到本地仓库
mvn install:install-file -DgroupId=com.arcsoft.face -DartifactId=arcsoft-sdk-face -Dversion=3.0.0.0 -Dpackaging=jar -Dfile=arcsoft-sdk-face-3.0.0.0.jar
指定运行库位置
将ArcSoft_ArcFace_Java_Windows_x64_V3.0\libs目录下的子目录文件拷贝至特定目录,如:D:\libs\
示例代码测试
添加依赖
<dependency>
<groupId>com.arcsoft.face</groupId>
<artifactId>arcsoft-sdk-face</artifactId>
<version>3.0.0.0</version>
</dependency>
示例代码
public static void main(String[] args) {
//从官网获取
String appId = "3GMvHrq4kGVn1fdgj2w1vwY63FomBsDa9uHJjauQC2def";
String sdkKey = "844rRt6ryzfZ7Zw2Bn1YbMWxQg47Y72JzLMzV4BQZiUMe";
FaceEngine faceEngine = new FaceEngine("D:\\libs\\WIN64");
//激活引擎
int errorCode = faceEngine.activeOnline(appId, sdkKey);
if (errorCode != ErrorInfo.MOK.getValue() && errorCode != ErrorInfo.MERR_ASF_ALREADY_ACTIVATED.getValue()) {
System.out.println("引擎激活失败");
}
ActiveFileInfo activeFileInfo = new ActiveFileInfo();
errorCode = faceEngine.getActiveFileInfo(activeFileInfo);
if (errorCode != ErrorInfo.MOK.getValue() && errorCode != ErrorInfo.MERR_ASF_ALREADY_ACTIVATED.getValue()) {
System.out.println("获取激活文件信息失败");
}
//引擎配置
EngineConfiguration engineConfiguration = new EngineConfiguration();
engineConfiguration.setDetectMode(DetectMode.ASF_DETECT_MODE_IMAGE);
engineConfiguration.setDetectFaceOrientPriority(DetectOrient.ASF_OP_ALL_OUT);
engineConfiguration.setDetectFaceMaxNum(10);
engineConfiguration.setDetectFaceScaleVal(16);
//功能配置
FunctionConfiguration functionConfiguration = new FunctionConfiguration();
functionConfiguration.setSupportAge(true);
functionConfiguration.setSupportFace3dAngle(true);
functionConfiguration.setSupportFaceDetect(true);
functionConfiguration.setSupportFaceRecognition(true);
functionConfiguration.setSupportGender(true);
functionConfiguration.setSupportLiveness(true);
functionConfiguration.setSupportIRLiveness(true);
engineConfiguration.setFunctionConfiguration(functionConfiguration);
//初始化引擎
errorCode = faceEngine.init(engineConfiguration);
if (errorCode != ErrorInfo.MOK.getValue()) {
System.out.println("初始化引擎失败");
}
//人脸检测
ImageInfo imageInfo = getRGBData(new File("D:\\test.jpg"));
List<FaceInfo> faceInfoList = new ArrayList<FaceInfo>();
errorCode = faceEngine.detectFaces(imageInfo.getImageData(), imageInfo.getWidth(), imageInfo.getHeight(), imageInfo.getImageFormat(), faceInfoList);
System.out.println(faceInfoList);
//特征提取
FaceFeature faceFeature = new FaceFeature();
errorCode = faceEngine.extractFaceFeature(imageInfo.getImageData(), imageInfo.getWidth(), imageInfo.getHeight(), imageInfo.getImageFormat(), faceInfoList.get(0), faceFeature);
System.out.println("特征值大小:" + faceFeature.getFeatureData().length);
//人脸检测2
ImageInfo imageInfo2 = getRGBData(new File("D:\\test.jpg"));
List<FaceInfo> faceInfoList2 = new ArrayList<FaceInfo>();
errorCode = faceEngine.detectFaces(imageInfo2.getImageData(), imageInfo2.getWidth(), imageInfo2.getHeight(), imageInfo.getImageFormat(), faceInfoList2);
System.out.println(faceInfoList);
//特征提取2
FaceFeature faceFeature2 = new FaceFeature();
errorCode = faceEngine.extractFaceFeature(imageInfo2.getImageData(), imageInfo2.getWidth(), imageInfo2.getHeight(), imageInfo.getImageFormat(), faceInfoList2.get(0), faceFeature2);
System.out.println("特征值大小:" + faceFeature.getFeatureData().length);
//特征比对
FaceFeature targetFaceFeature = new FaceFeature();
targetFaceFeature.setFeatureData(faceFeature.getFeatureData());
FaceFeature sourceFaceFeature = new FaceFeature();
sourceFaceFeature.setFeatureData(faceFeature2.getFeatureData());
FaceSimilar faceSimilar = new FaceSimilar();
errorCode = faceEngine.compareFaceFeature(targetFaceFeature, sourceFaceFeature, faceSimilar);
System.out.println("相似度:" + faceSimilar.getScore());
//设置活体测试
errorCode = faceEngine.setLivenessParam(0.5f, 0.7f);
//人脸属性检测
FunctionConfiguration configuration = new FunctionConfiguration();
configuration.setSupportAge(true);
configuration.setSupportFace3dAngle(true);
configuration.setSupportGender(true);
configuration.setSupportLiveness(true);
errorCode = faceEngine.process(imageInfo.getImageData(), imageInfo.getWidth(), imageInfo.getHeight(), imageInfo.getImageFormat(), faceInfoList, configuration);
//性别检测
List<GenderInfo> genderInfoList = new ArrayList<GenderInfo>();
errorCode = faceEngine.getGender(genderInfoList);
System.out.println("性别:" + genderInfoList.get(0).getGender());
//年龄检测
List<AgeInfo> ageInfoList = new ArrayList<AgeInfo>();
errorCode = faceEngine.getAge(ageInfoList);
System.out.println("年龄:" + ageInfoList.get(0).getAge());
//3D信息检测
List<Face3DAngle> face3DAngleList = new ArrayList<Face3DAngle>();
errorCode = faceEngine.getFace3DAngle(face3DAngleList);
System.out.println("3D角度:" + face3DAngleList.get(0).getPitch() + "," + face3DAngleList.get(0).getRoll() + "," + face3DAngleList.get(0).getYaw());
//活体检测
List<LivenessInfo> livenessInfoList = new ArrayList<LivenessInfo>();
errorCode = faceEngine.getLiveness(livenessInfoList);
System.out.println("活体:" + livenessInfoList.get(0).getLiveness());
//IR属性处理
ImageInfo imageInfoGray = getGrayData(new File("D:\\test.jpg"));
List<FaceInfo> faceInfoListGray = new ArrayList<FaceInfo>();
errorCode = faceEngine.detectFaces(imageInfoGray.getImageData(), imageInfoGray.getWidth(), imageInfoGray.getHeight(), imageInfoGray.getImageFormat(), faceInfoListGray);
FunctionConfiguration configuration2 = new FunctionConfiguration();
configuration2.setSupportIRLiveness(true);
errorCode = faceEngine.processIr(imageInfoGray.getImageData(), imageInfoGray.getWidth(), imageInfoGray.getHeight(), imageInfoGray.getImageFormat(), faceInfoListGray, configuration2);
//IR活体检测
List<IrLivenessInfo> irLivenessInfo = new ArrayList<>();
errorCode = faceEngine.getLivenessIr(irLivenessInfo);
System.out.println("IR活体:" + irLivenessInfo.get(0).getLiveness());
ImageInfoEx imageInfoEx = new ImageInfoEx();
imageInfoEx.setHeight(imageInfo.getHeight());
imageInfoEx.setWidth(imageInfo.getWidth());
imageInfoEx.setImageFormat(imageInfo.getImageFormat());
imageInfoEx.setImageDataPlanes(new byte[][]{imageInfo.getImageData()});
imageInfoEx.setImageStrides(new int[]{imageInfo.getWidth() * 3});
List<FaceInfo> faceInfoList1 = new ArrayList<>();
errorCode = faceEngine.detectFaces(imageInfoEx, DetectModel.ASF_DETECT_MODEL_RGB, faceInfoList1);
FunctionConfiguration fun = new FunctionConfiguration();
fun.setSupportAge(true);
errorCode = faceEngine.process(imageInfoEx, faceInfoList1, functionConfiguration);
List<AgeInfo> ageInfoList1 = new ArrayList<>();
int age = faceEngine.getAge(ageInfoList1);
System.out.println("年龄:" + ageInfoList1.get(0).getAge());
FaceFeature feature = new FaceFeature();
errorCode = faceEngine.extractFaceFeature(imageInfoEx, faceInfoList1.get(0), feature);
//引擎卸载
errorCode = faceEngine.unInit();
}
测试
[com.arcsoft.face.Rect(1443, 432 - 2632, 1621),1]
特征值大小:1032
[com.arcsoft.face.Rect(1443, 432 - 2632, 1621),1]
特征值大小:1032
相似度:1.0
性别:1
年龄:23
3D角度:-8.610413,-2.251792,18.67919
活体:1
IR活体:0
年龄:23
项目集成测试
添加依赖
<dependency>
<groupId>com.arcsoft.face</groupId>
<artifactId>arcsoft-sdk-face</artifactId>
<version>3.0.0.0</version>
</dependency>
配置密匙信息
单独在配置文件中配置密匙信息
arcsoft.appid=3GMvHrq4kGVn1fdgj2wvwY63FoDa9uHJjauQC2def
arcsoft.sdkKey=844rRt6ryzfZ7Zw2BnYbMWxQ2JzLMzV4BQZiUMe
arcsoft.libPath=D:\\libs\\WIN64
初始化引擎
@Value("${arcsoft.appid}")
private String appid;
@Value("${arcsoft.sdkKey}")
private String sdkKey;
@Value("${arcsoft.libPath}")
private String libPath;
private FaceEngine faceEngine;
@PostConstruct
public void init() {
// 激活并且初始化引擎
FaceEngine faceEngine = new FaceEngine(libPath);
int activeCode = faceEngine.activeOnline(appid, sdkKey);
if (activeCode != ErrorInfo.MOK.getValue() && activeCode != ErrorInfo.MERR_ASF_ALREADY_ACTIVATED.getValue()) {
LOGGER.error("引擎激活失败");
throw new RuntimeException("引擎激活失败");
}
//引擎配置
EngineConfiguration engineConfiguration = new EngineConfiguration();
//IMAGE检测模式,用于处理单张的图像数据
engineConfiguration.setDetectMode(DetectMode.ASF_DETECT_MODE_IMAGE);
//人脸检测角度,逆时针0度
engineConfiguration.setDetectFaceOrientPriority(DetectOrient.ASF_OP_0_ONLY);
//功能配置
FunctionConfiguration functionConfiguration = new FunctionConfiguration();
functionConfiguration.setSupportAge(true);
functionConfiguration.setSupportFace3dAngle(true);
functionConfiguration.setSupportFaceDetect(true);
functionConfiguration.setSupportFaceRecognition(true);
functionConfiguration.setSupportGender(true);
functionConfiguration.setSupportLiveness(true);
functionConfiguration.setSupportIRLiveness(true);
engineConfiguration.setFunctionConfiguration(functionConfiguration);
//初始化引擎
int initCode = faceEngine.init(engineConfiguration);
if (initCode != ErrorInfo.MOK.getValue()) {
LOGGER.error("初始化引擎出错!");
throw new RuntimeException("初始化引擎出错!");
}
this.faceEngine = faceEngine;
}
人像检测
public boolean checkIsPortrait(ImageInfo imageInfo) {
// 人像列表
List<FaceInfo> faceInfoList = new ArrayList<FaceInfo>();
faceEngine.detectFaces(imageInfo.getImageData(), imageInfo.getWidth(), imageInfo.getHeight(), ImageFormat.CP_PAF_BGR24, faceInfoList);
return !faceInfoList.isEmpty();
}
测试
@Test
public void test(){
File file = new File("D:\\test.jpg");
ImageInfo imageInfo = ImageFactory.getRGBData(file);
boolean checkIsPortrait = this.faceEngineService.checkIsPortrait(imageInfo);
System.out.println(checkIsPortrait);
}
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