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);

}

}