我想使用“haar cascade”从输入视频文件中检测脸部。我已使用此代码将视频转换为帧。请告诉我如何从这些框架中检测面部并将其标记为矩形边框。
private void button1_Click(object sender, EventArgs e)
{
OpenFileDialog openFileDialog1 = new OpenFileDialog();
if (openFileDialog1.ShowDialog() == System.Windows.Forms.DialogResult.OK)
{
memde = new MediaDetClass();
System.IO.Directory.CreateDirectory("temp");
memde.Filename = openFileDialog1.FileName;
int len = (int)memde.StreamLength;
counter = 0;
Image img;
memde.Filename = openFileDialog1.FileName;
memde.CurrentStream = 0;
float percent = 0.002f;
Image<Gray, byte> gray;
for (float i = 0.0f; i < len; i = i + (float)(percent * len))
{
counter++;
string fbitname = storagepath + counter.ToString();
memde.WriteBitmapBits(i, 850, 480, fbitname + ".bmp");
}
}
}
}
答案 0 :(得分:3)
我建议您为您的视频文件使用捕获类,并根据此示例创建代码:
http://www.emgu.com/wiki/index.php?title=Video_Files
然后用:
替换ProcessFrame()方法的相关部分if (CurrentState == VideoMethod.Viewing)
{
frame = _Capture.RetrieveBgrFrame();
if (frame != null)
{
using (Image<Gray, Byte> gray = frame.Convert<Gray, Byte>()) //Convert it to Grayscale
{
//normalizes brightness and increases contrast of the image
gray._EqualizeHist();
//Detect the faces from the gray scale image and store the locations as rectangle
//The first dimensional is the channel
//The second dimension is the index of the rectangle in the specific channel
Rectangle[] facesDetected = face.DetectMultiScale(
gray,
1.1,
10,
new Size(20, 20),
Size.Empty);
foreach (Rectangle f in facesDetected)
{
//Draw the rectangle on the frame
frame.Draw(f, new Bgr(Color.Red), 2);
}
}
//Show image
DisplayImage(frame.ToBitmap());
}
}
干杯,
克里斯