// 人脸质量(传入opencv视频帧及检测到人脸信息，适应于多人脸)
public void test_get_face_quality_by_face()
{
Mat img = Cv2.ImRead("d:\\1112.jpg");
int ilen = 1;//传入的人脸数
TrackFaceInfo track_info = new TrackFaceInfo();
track_info.landmarks = new int[144];
track_info.headPose = new float[3];
track_info.face_id = 0;
track_info.score = 0;
int sizeTrack = Marshal.SizeOf(typeof(TrackFaceInfo));
IntPtr ptT = Marshal.AllocHGlobal(sizeTrack * ilen);
RotatedRect box;
int faceSize = ilen; //返回人脸数 分配人脸数和检测到人脸数的最小值
int curSize = ilen; //当前人脸数 输入分配的人脸数，输出实际检测到的人脸数
faceSize = FaceTrack.track_mat(ptT, img.CvPtr, ref curSize);
if (faceSize > 0)
{
IntPtr ptr = (IntPtr)(ptT.ToInt64());
track_info = (TrackFaceInfo)Marshal.PtrToStructure(ptr, typeof(TrackFaceInfo));
// 画人脸框
FaceTrack track = new FaceTrack();
box = track.bounding_box(track_info.landmarks, track_info.landmarks.Length);
track.draw_rotated_box(ref img, ref box, new Scalar(0, 255, 0));
//Cv2.ImShow("img", img);
//Cv2.WaitKey(0);
}
Marshal.FreeHGlobal(ptT);
Console.WriteLine("face_quality_by_face");
if (faceSize > 0)
{
IntPtr ptrMsg = face_quality_by_face(img.CvPtr, ref track_info);
string buf = Marshal.PtrToStringAnsi(ptrMsg);
Console.WriteLine("attr res is:" + buf);
}
}
// 双目摄像头进行rgb,depth活体检测(此处适配了华杰艾米的双目摄像头)
public bool rgb_depth_liveness_check_hjimi()
{
int faceNum = 2; //传入的人脸数
int face_size = faceNum; //当前传入人脸数，传出人脸数
TrackFaceInfo[] track_info = new TrackFaceInfo[faceNum];
for (int i = 0; i < faceNum; i++)
{
track_info[i] = new TrackFaceInfo();
track_info[i].landmarks = new int[144];
track_info[i].headPose = new float[3];
track_info[i].face_id = 0;
track_info[i].score = 0;
}
int sizeTrack = Marshal.SizeOf(typeof(TrackFaceInfo));
IntPtr ptT = Marshal.AllocHGlobal(sizeTrack * faceNum);
RotatedRect box;
IntPtr phjimi = HjimiCamera.new_hjimi();
var rgb_win = new Window("rgb", WindowMode.AutoSize);
var depth_win = new Window("depth", WindowMode.Normal);
float rgb_score = 0;
float depth_score = 0;
Mat cv_depth = new Mat();
Mat cv_rgb = new Mat();
while (true)
{
bool ok = HjimiCamera.open_hjimimat(phjimi, cv_rgb.CvPtr, cv_depth.CvPtr);
if (!ok)
{
Console.WriteLine("open camera faile");
continue;
}
if (cv_rgb.Empty())
{
continue;
}
if (cv_depth.Empty())
{
continue;
}
IntPtr resptr = rgb_depth_liveness_check_faceinfo(cv_rgb.CvPtr, cv_depth.CvPtr, ref rgb_score, ref depth_score, ref face_size, ptT);
string res = Marshal.PtrToStringAnsi(resptr);
Console.WriteLine("res is:{0}", res);
for (int index = 0; index < face_size; index++)
{
IntPtr ptrTrack = (IntPtr)(ptT.ToInt64() + sizeTrack * index);
track_info[index] = (TrackFaceInfo)Marshal.PtrToStructure(ptrTrack, typeof(TrackFaceInfo));
Console.WriteLine("in Liveness::usb_track face_id is {0}:", track_info[index].face_id);
Console.WriteLine("landmarks is:");
for (int k = 0; k < 1; k++)
{
Console.WriteLine("{0},{1},{2},{3},{4},{5},{6},{7},{8},{9},",
track_info[index].landmarks[k], track_info[index].landmarks[k + 1],
track_info[index].landmarks[k + 2], track_info[index].landmarks[k + 3],
track_info[index].landmarks[k + 4], track_info[index].landmarks[k + 5],
track_info[index].landmarks[k + 6], track_info[index].landmarks[k + 7],
track_info[index].landmarks[k + 8], track_info[index].landmarks[k + 9]
);
}
for (int k = 0; k < track_info[index].headPose.Length; k++)
{
Console.WriteLine("angle is:{0:f}", track_info[index].headPose[k]);
}
Console.WriteLine("score is:{0:f}", track_info[index].score);
// 角度
Console.WriteLine("mAngle is:{0:f}", track_info[index].box.mAngle);
// 人脸宽度
Console.WriteLine("mWidth is:{0:f}", track_info[index].box.mWidth);
// 中心点X,Y坐标
Console.WriteLine("mCenter_x is:{0:f}", track_info[index].box.mCenter_x);
Console.WriteLine("mCenter_y is:{0:f}", track_info[index].box.mCenter_y);
//// 画人脸框
FaceTrack track = new FaceTrack();
box = track.bounding_box(track_info[index].landmarks, track_info[index].landmarks.Length);
track.draw_rotated_box(ref cv_rgb, ref box, new Scalar(0, 255, 0));
}
Mat depth_img = new Mat();
cv_depth.ConvertTo(depth_img, MatType.CV_8UC1, 255.0 / 4500);
string msg_depth = "depth score is:" + depth_score.ToString();
Cv2.PutText(depth_img, msg_depth, new Point(20, 50), HersheyFonts.HersheyComplex, 1, new Scalar(255, 100, 0));
string msg_rgb = "rgb score is:" + rgb_score.ToString();
Cv2.PutText(cv_rgb, msg_rgb, new Point(20, 50), HersheyFonts.HersheyComplex, 1, new Scalar(255, 100, 0));
rgb_win.ShowImage(cv_rgb);
depth_win.ShowImage(depth_img);
Cv2.WaitKey(1);
depth_img.Release();
}
Marshal.FreeHGlobal(ptT);
cv_rgb.Release();
cv_depth.Release();
Cv2.DestroyWindow("rgb");
Cv2.DestroyWindow("depth");
HjimiCamera.hjimi_release(phjimi);
return(true);
}
//双目RGB和DEPTH静默活体检测（传入opencv视频帧)适配奥比中光mini双目摄像头
public bool rgb_depth_liveness_check_orbe()
{
int faceNum = 2; //传入的人脸数
int face_size = faceNum; //当前传入人脸数，传出人脸数
TrackFaceInfo[] track_info = new TrackFaceInfo[faceNum];
for (int i = 0; i < faceNum; i++)
{
track_info[i] = new TrackFaceInfo();
track_info[i].landmarks = new int[144];
track_info[i].headPose = new float[3];
track_info[i].face_id = 0;
track_info[i].score = 0;
}
int sizeTrack = Marshal.SizeOf(typeof(TrackFaceInfo));
IntPtr ptT = Marshal.AllocHGlobal(sizeTrack * faceNum);
IntPtr pOrbe = new_orbe(); //与OrbeRelease成对出现
Mat rgb_mat = new Mat(480, 640, MatType.CV_8UC3);
Mat depth_mat = new Mat(480, 640, MatType.CV_16UC1);
float rgb_score = 0;
float depth_score = 0;
var window_depth = new Window("depth_face");
var window_rgb = new Window("rgb_face");
while (true)
{
RotatedRect box;
open_orbe(pOrbe, rgb_mat.CvPtr, depth_mat.CvPtr);
Console.WriteLine("rgb_mat rows {0} depth_mat rows {1}", rgb_mat.Rows, depth_mat.Rows);
if (!rgb_mat.Empty() && !depth_mat.Empty())
{
IntPtr resptr = rgb_depth_liveness_check_faceinfo(rgb_mat.CvPtr, depth_mat.CvPtr, ref rgb_score, ref depth_score, ref face_size, ptT);
string res = Marshal.PtrToStringAnsi(resptr);
Console.WriteLine("res is:{0}", res);
for (int index = 0; index < face_size; index++)
{
IntPtr ptrTrack = (IntPtr)(ptT.ToInt64() + sizeTrack * index);
track_info[index] = (TrackFaceInfo)Marshal.PtrToStructure(ptrTrack, typeof(TrackFaceInfo));
Console.WriteLine("in Liveness::usb_track face_id is {0}:", track_info[index].face_id);
Console.WriteLine("landmarks is:");
for (int k = 0; k < 1; k++)
{
Console.WriteLine("{0},{1},{2},{3},{4},{5},{6},{7},{8},{9},",
track_info[index].landmarks[k], track_info[index].landmarks[k + 1],
track_info[index].landmarks[k + 2], track_info[index].landmarks[k + 3],
track_info[index].landmarks[k + 4], track_info[index].landmarks[k + 5],
track_info[index].landmarks[k + 6], track_info[index].landmarks[k + 7],
track_info[index].landmarks[k + 8], track_info[index].landmarks[k + 9]
);
}
for (int k = 0; k < track_info[index].headPose.Length; k++)
{
Console.WriteLine("angle is:{0:f}", track_info[index].headPose[k]);
}
Console.WriteLine("score is:{0:f}", track_info[index].score);
// 角度
Console.WriteLine("mAngle is:{0:f}", track_info[index].box.mAngle);
// 人脸宽度
Console.WriteLine("mWidth is:{0:f}", track_info[index].box.mWidth);
// 中心点X,Y坐标
Console.WriteLine("mCenter_x is:{0:f}", track_info[index].box.mCenter_x);
Console.WriteLine("mCenter_y is:{0:f}", track_info[index].box.mCenter_y);
//// 画人脸框
FaceTrack track = new FaceTrack();
box = track.bounding_box(track_info[index].landmarks, track_info[index].landmarks.Length);
track.draw_rotated_box(ref rgb_mat, ref box, new Scalar(0, 255, 0));
}
}
string msg_rgb = "rgb score is:" + rgb_score.ToString();
Cv2.PutText(rgb_mat, msg_rgb, new Point(20, 50), HersheyFonts.HersheyComplex, 1, new Scalar(255, 100, 0));
window_rgb.ShowImage(rgb_mat);
//Cv2.ImShow("rgb_face", rgb_mat);
string msg_depth = "depth score is:" + depth_score.ToString();
Cv2.PutText(depth_mat, msg_depth, new Point(20, 50), HersheyFonts.HersheyComplex, 1, new Scalar(255, 255, 255));
window_depth.ShowImage(depth_mat);
//Cv2.ImShow("depth_face", depth_mat);
int c = Cv2.WaitKey(2);
if (27 == c)
{
break;
}
}
orbe_release(pOrbe);//与new_orbe成对出现
Marshal.FreeHGlobal(ptT);
rgb_mat.Release();
depth_mat.Release();
Cv2.DestroyWindow("depth_face");
Cv2.DestroyWindow("rgb_face");
return(true);
}
// 双目RGB和IR静默活体检测（sdk内部调用opencv，返回FaceCallback)
public bool rgb_ir_liveness_check_mat()
{
int faceNum = 2; //传入的人脸数
int face_size = faceNum; //当前传入人脸数，传出人脸数
TrackFaceInfo[] track_info = new TrackFaceInfo[faceNum];
for (int i = 0; i < faceNum; i++)
{
track_info[i] = new TrackFaceInfo();
track_info[i].landmarks = new int[144];
track_info[i].headPose = new float[3];
track_info[i].face_id = 0;
track_info[i].score = 0;
}
int sizeTrack = Marshal.SizeOf(typeof(TrackFaceInfo));
IntPtr ptT = Marshal.AllocHGlobal(sizeTrack * faceNum);
long ir_time = 0;
// 序号0为电脑识别的usb摄像头编号，本demo中0为ir红外摄像头
// 不同摄像头和电脑识别可能有区别
// 编号一般从0-10 */
int device = select_usb_device_id();
VideoCapture camera1 = VideoCapture.FromCamera(device);
if (!camera1.IsOpened())
{
Console.WriteLine("camera1 open error");
return(false);
}
VideoCapture camera2 = VideoCapture.FromCamera(device + 1);
if (!camera2.IsOpened())
{
Console.WriteLine("camera2 open error");
return(false);
}
RotatedRect box;
Mat frame1 = new Mat();
Mat frame2 = new Mat();
Mat rgb_mat = new Mat();
Mat ir_mat = new Mat();
var window_ir = new Window("ir_face");
var window_rgb = new Window("rgb_face");
while (true)
{
camera1.Read(frame1);
camera2.Read(frame2);
if (!frame1.Empty() && !frame2.Empty())
{
if (frame1.Size(0) > frame2.Size(0))
{
rgb_mat = frame1;
ir_mat = frame2;
}
else
{
rgb_mat = frame2;
ir_mat = frame1;
}
float rgb_score = 0;
float ir_score = 0;
IntPtr ptr = rgb_ir_liveness_check_faceinfo(rgb_mat.CvPtr, ir_mat.CvPtr, ref rgb_score, ref ir_score, ref face_size, ref ir_time, ptT);
string res = Marshal.PtrToStringAnsi(ptr);
Console.WriteLine("res is:{0}", res);
string msg_ir = "ir score is:" + ir_score.ToString();
Cv2.PutText(ir_mat, msg_ir, new Point(20, 50), HersheyFonts.HersheyComplex, 1, new Scalar(255, 100, 0));
window_ir.ShowImage(ir_mat);
Cv2.WaitKey(1);
Console.WriteLine("{0}", msg_ir);
string msg_rgb = "rgb score is:" + rgb_score.ToString();
Cv2.PutText(rgb_mat, msg_rgb, new Point(20, 50), HersheyFonts.HersheyComplex, 1, new Scalar(255, 100, 0));
for (int index = 0; index < face_size; index++)
{
IntPtr ptrTrack = (IntPtr)(ptT.ToInt64() + sizeTrack * index);
track_info[index] = (TrackFaceInfo)Marshal.PtrToStructure(ptrTrack, typeof(TrackFaceInfo));
Console.WriteLine("face_id is {0}:", track_info[index].face_id);
Console.WriteLine("landmarks is:");
for (int k = 0; k < 1; k++)
{
Console.WriteLine("{0},{1},{2},{3},{4},{5},{6},{7},{8},{9},",
track_info[index].landmarks[k], track_info[index].landmarks[k + 1],
track_info[index].landmarks[k + 2], track_info[index].landmarks[k + 3],
track_info[index].landmarks[k + 4], track_info[index].landmarks[k + 5],
track_info[index].landmarks[k + 6], track_info[index].landmarks[k + 7],
track_info[index].landmarks[k + 8], track_info[index].landmarks[k + 9]
);
}
for (int k = 0; k < track_info[index].headPose.Length; k++)
{
Console.WriteLine("angle is:{0:f}", track_info[index].headPose[k]);
}
Console.WriteLine("score is:{0:f}", track_info[index].score);
// 角度
Console.WriteLine("mAngle is:{0:f}", track_info[index].box.mAngle);
// 人脸宽度
Console.WriteLine("mWidth is:{0:f}", track_info[index].box.mWidth);
// 中心点X,Y坐标
Console.WriteLine("mCenter_x is:{0:f}", track_info[index].box.mCenter_x);
Console.WriteLine("mCenter_y is:{0:f}", track_info[index].box.mCenter_y);
// 画人脸框
FaceTrack track = new FaceTrack();
box = track.bounding_box(track_info[index].landmarks, track_info[index].landmarks.Length);
track.draw_rotated_box(ref rgb_mat, ref box, new Scalar(0, 255, 0));
}
window_rgb.ShowImage(rgb_mat);
Cv2.WaitKey(1);
Console.WriteLine("{0}", msg_rgb);
}
}
Marshal.FreeHGlobal(ptT);
rgb_mat.Release();
ir_mat.Release();
frame1.Release();
frame2.Release();
Cv2.DestroyWindow("ir_face");
Cv2.DestroyWindow("rgb_face");
return(true);
}