public void GetFeatureVec(object obj)
{
FeatureData feature = (FeatureData)obj;
using (Bitmap bitmapSource = feature.localRead ? new Bitmap(feature.localFileName) : videoSourcePlayer.GetCurrentVideoFrame())
{
if (bitmapSource != null)
{
//Bitmap bitmapSource = BitmapHelper.ScaleToSize(bitmapVideo, 256, 256);
float[] vec = new float[FaceApi.FeatureVecLen()];
int[] landmark = new int[FaceApi.LandMarkLen()];
BitmapData bitmapData = bitmapSource.LockBits(new Rectangle(0, 0, bitmapSource.Width, bitmapSource.Height), ImageLockMode.ReadWrite, PixelFormat.Format24bppRgb);
while (isDetectrunning)
{
Console.WriteLine("waitting Detect");
}
;
isDetectrunning = true;
bool success = FaceApi.FindFacePtr(bitmapData.Scan0, bitmapData.Width, bitmapData.Height, bitmapData.Stride, 3, out int x1, out int y1, out int width, out int height, landmark);
isDetectrunning = false;
bitmapSource.UnlockBits(bitmapData);
if (success)
{
bitmapData = bitmapSource.LockBits(new Rectangle(x1, y1, width, height), ImageLockMode.ReadWrite, PixelFormat.Format24bppRgb);
for (int idx = 0; idx < landmark.Length / 2; ++idx)
{
landmark[idx * 2] -= x1;
landmark[idx * 2 + 1] -= y1;
}
while (isFeaRunning)
{
Console.WriteLine("waitting FeaRunning");
}
;
isFeaRunning = true;
success = FaceApi.FeatureVecPtr(bitmapData.Scan0, bitmapData.Width, bitmapData.Height, bitmapData.Stride, 3, landmark, vec);
isFeaRunning = false;
bitmapSource.UnlockBits(bitmapData);
}
if (success)
{
float sum = 0;
for (int idx = 0; idx < vec.Length; ++idx)
{
sum += vec[idx];
}
SetIDBox(feature, sum + "", vec, bitmapSource.Clone(new Rectangle(x1, y1, width, height), PixelFormat.Format24bppRgb));
}
else
{
MessageBox.Show("添加数据失败!");
}
}
}
}
public void play_video()
{
flag = true;
SetTestBox("正在进行人脸检测");
while (flag)
{
try
{
using (Bitmap bitmapSource = videoSourcePlayer.GetCurrentVideoFrame())
{
if (bitmapSource != null)
{
if (!isDetectrunning)
{
BitmapData bitmapData = bitmapSource.LockBits(new Rectangle(0, 0, bitmapSource.Width, bitmapSource.Height), ImageLockMode.ReadWrite, PixelFormat.Format24bppRgb);
int[] landmark = new int[FaceApi.LandMarkLen()];
isDetectrunning = true;
bool success = FaceApi.FindFacePtr_(bitmapData.Scan0, bitmapData.Width, bitmapData.Height, bitmapData.Stride, 3, out int x1, out int y1, out int x2, out int y2, landmark);
isDetectrunning = false;
bitmapSource.UnlockBits(bitmapData);
if (success)
{
if (!closing)
{
if (facedata.Count != 0)
{
if (matchingThread == null || matchingThread.ThreadState != ThreadState.Running)
{
for (int idx = 0; idx < landmark.Length / 2; ++idx)
{
landmark[idx * 2] -= x1;
landmark[idx * 2 + 1] -= y1;
}
MatchData matchData = new MatchData(bitmapSource.Clone(new Rectangle(x1, y1, x2 - x1, y2 - y1), PixelFormat.Format24bppRgb), landmark);
matchingThread = new Thread(new ParameterizedThreadStart(Matching));
matchingThread.Start(matchData);
}
}
SetSearchBox(bitmapSource.Clone(new Rectangle(x1, y1, x2 - x1, y2 - y1), PixelFormat.Format24bppRgb));
SetBox("0");
}
}
else
{
if (!closing)
{
SetBox("-6");
}
}
}
else
{
if (!closing)
{
SetBox("-6");
}
}
}
else
{
break;
}
}
}
catch (Exception ex)
{
if (!closing)
{
SetBox("摄像头异常：" + ex.Message);
}
}
}
if (!closing)
{
SetBox("连接摄像头");
SetTestBox("已停止人脸检测");
}
}