虹软人脸识别技术
首先我们在官网下载appId 和sdkkey
https://ai.arcsoft.com.cn/ucenter/resource/build/index.html#/index
进去之后先注册账号这个一年内没有次数限制,到期只需要重新换一下appId 和sdkkey即可,在这个页面选择免费SDK右下角这个
这个过程中有个应用,自己起名字就可以,建议取成idea、java之类
注册好了就会有appId 和sdkkey如下图
点击下载SDK我们会得到对应的压缩包,打开之后samplecode文件夹里面有一个FaceEngineTest 的文件夹(测试代码)
我们在项目中如何使用呢,首先我们要将架包导入进来在idea中点击file->Project Structure
然后点击OK即可这样对应的环境就配好了
粘贴上面我提到FaceEngineTest类但是有几个需要改的地方,最主要的就是appId 和sdkkey以及 需要换成自己目录下libs\WIN64这个地址
FaceEngine faceEngine = new FaceEngine("");
import com.arcsoft.face.*;
import com.arcsoft.face.enums.*;
import com.arcsoft.face.toolkit.ImageInfo;
import java.io.File;
import java.util.ArrayList;
import java.util.List;
import com.arcsoft.face.toolkit.ImageInfoEx;
import static com.arcsoft.face.toolkit.ImageFactory.getGrayData;
import static com.arcsoft.face.toolkit.ImageFactory.getRGBData;
public class FaceEngineTest {
public static void main(String[] args) {
//从官网获取
String appId = "";//之前的官网让复制的两个地方
String sdkKey = "";
//这个地址需要换成自己目录下libs\WIN64这个地址
FaceEngine faceEngine = new FaceEngine("");
//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(""));//图片一的地址
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(""));//图片二的地址
List<FaceInfo> faceInfoList2 = new ArrayList<FaceInfo>();
errorCode = faceEngine.detectFaces(imageInfo2.getImageData(), imageInfo2.getWidth(), imageInfo2.getHeight(),imageInfo2.getImageFormat(), faceInfoList2);
System.out.println(faceInfoList2);
//特征提取2
FaceFeature faceFeature2 = new FaceFeature();
errorCode = faceEngine.extractFaceFeature(imageInfo2.getImageData(), imageInfo2.getWidth(), imageInfo2.getHeight(), imageInfo2.getImageFormat(), faceInfoList2.get(0), faceFeature2);
System.out.println("特征值大小:" + faceFeature2.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);
//人脸检测
ImageInfo imageInfo = getRGBData(new File(""));//图片一的地址
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(""));//图片二的地址
List<FaceInfo> faceInfoList2 = new ArrayList<FaceInfo>();
errorCode = faceEngine.detectFaces(imageInfo2.getImageData(), imageInfo2.getWidth(), imageInfo2.getHeight(),imageInfo2.getImageFormat(), faceInfoList2);
System.out.println(faceInfoList2);
//特征提取2
FaceFeature faceFeature2 = new FaceFeature();
errorCode = faceEngine.extractFaceFeature(imageInfo2.getImageData(), imageInfo2.getWidth(), imageInfo2.getHeight(), imageInfo2.getImageFormat(), faceInfoList2.get(0), faceFeature2);
System.out.println("特征值大小:" + faceFeature2.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:\\IR_480p.jpg"));//比对的图片地址
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();
}
}
给大家看看我的照片比对效果
活体:1代表是人
性别:0代表男,代表1
具体属性请看下载SDK的doc文件夹下第一个pdf里面有详细介绍
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