//private int counter = 0;
void ProcessFrame(object sender, EventArgs e)
{
Mat frame = _cameraCapture.QueryFrame();
long detectionTime;
List <Rectangle> faces = new List <Rectangle>();
List <Rectangle> eyes = new List <Rectangle>();
DetectFace.Detect(
frame, "haarcascade_frontalface_default.xml", "haarcascade_eye.xml",
faces, eyes,
out detectionTime);
foreach (Rectangle face in faces)
{
CvInvoke.Rectangle(frame, face, new Bgr(Color.Red).MCvScalar, 2);
var picture = frame.Bitmap.Clone(face, PixelFormat.DontCare);
picture.Save("C:\\Images\\" + Guid.NewGuid().ToString() + ".bmp", ImageFormat.Bmp);
}
imageBox1.Image = frame;
}
void ProcessFrame(object sender, EventArgs e)
{
Mat frame = _cameraCapture.QueryFrame();
List <Rectangle> faces = new List <Rectangle>();
List <Rectangle> eyes = new List <Rectangle>();
long detectionTime;
DetectFace.Detect(
frame, "haarcascade_frontalface_default.xml", "haarcascade_eye.xml",
faces, eyes,
out detectionTime);
foreach (var b in faces)
{
//CvTrack b = pair.Value;
CvInvoke.Rectangle(frame, b, new MCvScalar(0.0, 0.0, 255.0), 3);
//CvInvoke.PutText(frame, b.Id.ToString(), new Point((int)Math.Round(b.Centroid.X), (int)Math.Round(b.Centroid.Y)), FontFace.HersheyPlain, 1.0, new MCvScalar(255.0, 255.0, 255.0));
}
imageBox1.Image = frame;
}
void ProcessFrame(object sender, EventArgs e)
{
Mat frame = _cameraCapture.QueryFrame();
Mat smoothedFrame = new Mat();
CvInvoke.GaussianBlur(frame, smoothedFrame, new Size(3, 3), 1); //filter out noises
//frame._SmoothGaussian(3);
#region use the BG/FG detector to find the forground mask
Mat forgroundMask = new Mat();
_fgDetector.Apply(smoothedFrame, forgroundMask);
#endregion
CvBlobs blobs = new CvBlobs();
_blobDetector.Detect(forgroundMask.ToImage <Gray, byte>(), blobs);
blobs.FilterByArea(100, int.MaxValue);
float scale = (frame.Width + frame.Width) / 2.0f;
_tracker.Update(blobs, 0.01 * scale, 5, 5);
long detectionTime;
List <Rectangle> faces = new List <Rectangle>();
List <Rectangle> eyes = new List <Rectangle>();
IImage image = (IImage)frame;//这一步是重点
faceImage = frame.Bitmap;
DetectFace.Detect(image
, "haarcascade_frontalface_default.xml", "haarcascade_eye.xml",
faces, eyes,
out detectionTime);
#region 多人识别 多人识别存在较大误差率（图片库 如果高清，识别效果就是好）
//Graphics g1 = Graphics.FromImage(frame.Bitmap);
//List<FaceIdentifyModel> tempList = new List<FaceIdentifyModel>();
//foreach (Rectangle face in faces)
//{
// Image rectImage1 = ImageHelper.CaptureImage(frame.Bitmap, face);
// FaceIdentifyModel MoreIdentifyInfo = FaceAPI.FaceIdentify(rectImage1, tb_Group.Text.Trim(), 1, 1);//人脸识别 一个人的识别效果比较好
// MoreIdentifyInfo.rect = face;
// tempList.Add(MoreIdentifyInfo);
//}
//Color color_of_pen1 = Color.Gray;
//color_of_pen1 = Color.Yellow;
//Pen pen1 = new Pen(color_of_pen1, 2.0f);
//Font font1 = new Font("微软雅黑", 16, GraphicsUnit.Pixel);
//SolidBrush drawBrush1 = new SolidBrush(Color.Yellow);
//tb_Identify.Text = tempList.ToJson();
//foreach (var t in tempList)
//{
// g1.DrawRectangle(pen1, t.rect);
// if (t.result != null)
// {
// g1.DrawString(t.result[0].user_info.Replace("，", "\r\n"), font1, drawBrush1, new Point(t.rect.X + 20, t.rect.Y - 20));
// }
//}
#endregion
#region 单人识别
//单人 人脸识别 多人效果比较差
foreach (Rectangle face in faces)
{
#region 采用画图，显示自己的文本框
Graphics g = Graphics.FromImage(frame.Bitmap);
ImageModel tempImage = new ImageModel();
tempImage.Rect = face;
tempImage.Image = frame.Bitmap;
//接口查询速度差
//string faceInfo = FaceAPI.FaceDetect(ImageHelper.CaptureImage(frame.Bitmap, face));//人脸检测
Image rectImage = ImageHelper.CaptureImage(frame.Bitmap, face);
FaceIdentifyModel IdentifyInfo = FaceAPI.FaceIdentify(rectImage, tb_Group.Text.Trim(), 1, 1);//人脸识别 一个人的识别效果比较好 // tb_Result.Text = faceInfo;
tb_Identify.Text = IdentifyInfo.ToJson().ToString();
//采用画板
Color color_of_pen = Color.Gray;
color_of_pen = Color.Yellow;
Pen pen = new Pen(color_of_pen, 2.0f);
Rectangle rect = face;
g.DrawRectangle(pen, rect);
Font font = new Font("微软雅黑", 16, GraphicsUnit.Pixel);
SolidBrush drawBrush = new SolidBrush(Color.Yellow);
if (IdentifyInfo != null)
{
if (IdentifyInfo.result != null)
{
for (int i = 0; i < IdentifyInfo.result.Count; i++)
{
string faceInfo = "";
faceInfo = IdentifyInfo.result[i].user_info.Replace("，", "\r\n");
//显示用户信息
g.DrawString(faceInfo, font, drawBrush, new Point(face.X + 20, face.Y - 20));
}
}
}
//CvInvoke.Rectangle(frame, face, new MCvScalar(255.0, 255.0, 255.0), 2);
//CvInvoke.PutText(frame, faceInfo, new Point(face.X + 20, face.Y - 20), FontFace.HersheyPlain, 1.0, new MCvScalar(255.0, 255.0, 255.0));
// 保存原始截图
//System.Drawing.Image ResourceImage = frame.Bitmap;
//ResourceImage.Save(saveDir + saveFileName);
//线程队列 保存人脸识别截图
QueueHelper.WriteImage(tempImage);
//t1 = new Thread(new ThreadStart(() =>
//{
// faceInfo = FaceAPI.FaceDetect(ImageHelper.CaptureImage(frame.Bitmap, face));
// this.Invoke(new Action(() =>
// {
// g.DrawString(faceInfo, font, drawBrush, new Point(face.X + 20, face.Y - 20));
// }));
//}));
//t1.IsBackground = true;
//t1.Start();
#endregion
}
#endregion
#region 视频调用原有的Open CV 不支持中文字
//foreach (var pair in _tracker)
//{
// CvTrack b = pair.Value;
// #region 视频中调用open CV 上直接画文本框
// CvInvoke.Rectangle(frame, b.BoundingBox, new MCvScalar(255.0, 255.0, 255.0), 2);
// CvInvoke.PutText(frame, "man,show", new Point((int)Math.Round(b.Centroid.X), (int)Math.Round(b.Centroid.Y)), FontFace.HersheyPlain, 1.0, new MCvScalar(255.0, 255.0, 255.0));
// if (b.BoundingBox.Width < 100 || b.BoundingBox.Height < 50)
// {
// continue;
// }
// #endregion
//}
#endregion
imageBox1.Image = frame;
imageBox2.Image = forgroundMask;
}
void ProcessFrame(object sender, EventArgs e)
{
Mat frame = _cameraCapture.QueryFrame();
Mat smoothedFrame = new Mat();
CvInvoke.GaussianBlur(frame, smoothedFrame, new Size(3, 3), 1); //filter out noises
//frame._SmoothGaussian(3);
#region use the BG/FG detector to find the forground mask
Mat forgroundMask = new Mat();
_fgDetector.Apply(smoothedFrame, forgroundMask);
#endregion
CvBlobs blobs = new CvBlobs();
_blobDetector.Detect(forgroundMask.ToImage <Gray, byte>(), blobs);
blobs.FilterByArea(100, int.MaxValue);
float scale = (frame.Width + frame.Width) / 2.0f;
_tracker.Update(blobs, 0.01 * scale, 5, 5);
long detectionTime;
List <Rectangle> faces = new List <Rectangle>();
List <Rectangle> eyes = new List <Rectangle>();
IImage image = (IImage)frame;//这一步是重点
faceImage = frame.Bitmap;
DetectFace.Detect(image
, "haarcascade_frontalface_default.xml", "haarcascade_eye.xml",
faces, eyes,
out detectionTime);
#region 多人识别
Graphics g1 = Graphics.FromImage(frame.Bitmap);
List <FaceIdentifyModel> tempList = new List <FaceIdentifyModel>();
foreach (Rectangle face in faces)
{
Image rectImage1 = ImageHelper.CaptureImage(frame.Bitmap, face);// 自己封装的方法，通过大图截取矩形框的人脸图片，返回Image 对象
FaceIdentifyModel MoreIdentifyInfo = FaceAPI.FaceIdentify(rectImage1, tb_Group.Text.Trim(), 1, 1);
MoreIdentifyInfo.rect = face;
tempList.Add(MoreIdentifyInfo);
}
Color color_of_pen1 = Color.Gray;
color_of_pen1 = Color.Yellow;
Pen pen1 = new Pen(color_of_pen1, 2.0f);
Font font1 = new Font("微软雅黑", 16, GraphicsUnit.Pixel);
SolidBrush drawBrush1 = new SolidBrush(Color.Yellow);
tb_Identify.Text = tempList.ToJson();
foreach (var t in tempList)
{
g1.DrawRectangle(pen1, t.rect);
if (t.result != null)
{
g1.DrawString(t.result[0].user_info.Replace("，", "\r\n"), font1, drawBrush1, new Point(t.rect.X + 20, t.rect.Y - 20));
}
125
}
#endregion
imageBox1.Image = frame;
imageBox2.Image = forgroundMask;
}