java 虹软ArcFace 2.0，java SDK使用-进行人脸检测

加载图片
IplImage img = cvLoadImage("e:/pic/g5.jpg");
格式转换，将IplImage 转为Mat，
OpenCVFrameConverter.ToMat converterToMat = new OpenCVFrameConverter.ToMat();
Mat mat = converterToMat.convert(converterToMat.convert(img));

对图片，增加矩形框，此处用来圈出人脸的位置
rectangle(mat, new Rect(mrect.left,mrect.top,mrect.right-mrect.left,mrect.bottom-mrect.top), new Scalar(0, 255, 0, 1));

将mat数据，写入图片文件中
imwrite("e:/pic/detected.jpg", mat);

package com.arcsoft.face;

import static org.bytedeco.javacpp.opencv_imgcodecs.cvLoadImage;
import static org.bytedeco.javacpp.opencv_imgcodecs.imwrite;
import static org.bytedeco.javacpp.opencv_imgproc.rectangle;

import org.bytedeco.javacpp.BytePointer;
import org.bytedeco.javacpp.opencv_core.IplImage;
import org.bytedeco.javacpp.opencv_core.Mat;
import org.bytedeco.javacpp.opencv_core.Rect;
import org.bytedeco.javacpp.opencv_core.Scalar;
import org.bytedeco.javacv.OpenCVFrameConverter;

import com.sun.jna.NativeLong;
import com.sun.jna.Pointer;
import com.sun.jna.ptr.PointerByReference;

public class FaceDetectTest {

public static void main(String[] args) {
FaceEngine ins = FaceEngine.INSTANCE;

//SDK激活
ins.ASFActivation("6iYHk9hRsCNBJvFY7qhpaxnmmpFPnjWWpboYSafaz5hN", "GRwuiEVRTyeRUCHyihMP1B8Xf59zsQBtdZSbeQtfWWhg");
PointerByReference phEngine = new PointerByReference();

//SDK初始化，需要设置模式是video，还是image，配置人脸检测的角度，engine需要支持的功能 mask，最大支持的人脸数量50，人脸大小16
int mask = FaceEngine.ASF_FACE_DETECT | FaceEngine.ASF_FACERECOGNITION | FaceEngine.ASF_AGE | FaceEngine.ASF_GENDER | FaceEngine.ASF_FACE3DANGLE;
NativeLong ret = ins.ASFInitEngine(FaceEngine.ASF_DETECT_MODE_IMAGE, OrientPriority.AFD_FSDK_OPF_0_ONLY, 16,50, mask, phEngine);
if (ret.longValue() != FaceEngine.MOK) {
System.out.println(ret.longValue());
}

//获取图片数据，此处使用javacv中封装的对应opencv的方法完成
IplImage img = cvLoadImage("e:/pic/g5.jpg");
BytePointer bp = img.arrayData();
byte[] imgData = new byte[img.arraySize()];//图片数据
bp.get(imgData);

//获得engine对应的指针
Pointer hEngine = phEngine.getValue();

//当前系统版本
Version version = ins.ASFGetVersion(hEngine);
System.out.println(version.Version);
System.out.println(version.CopyRight);
System.out.println(version.BuildDate);

//进行人脸检测，detectedFaces为输出项
MultiFaceInfo detectedFaces = new MultiFaceInfo();
ins.ASFDetectFaces(hEngine, img.width(), img.height(), ASVL_COLOR_FORMAT.ASVL_PAF_RGB24_B8G8R8,imgData, detectedFaces);

System.out.println("detected face num:"+detectedFaces.faceNum);

//使用opencv的api对照片进行处理，将人脸区域画出来，保存为一张新图片
OpenCVFrameConverter.ToMat converterToMat = new OpenCVFrameConverter.ToMat();
Mat mat = converterToMat.convert(converterToMat.convert(img));
MRECT[] rects = detectedFaces.getFaceRects();
for (MRECT mrect : rects) {
rectangle(mat, new Rect(mrect.left,mrect.top,mrect.right-mrect.left,mrect.bottom-mrect.top), new Scalar(0, 255, 0, 1));
}
imwrite("e:/pic/detected.jpg", mat);
}

}