我有一个窗口应用程序,它将检测多个面部并捕获面部并保存为图像。我使用EMGU CV进行人脸检测,我从示例代码和教程中学习。当需要将面部捕获为经过训练的数据集时,它只能存储一个面部,尽管它检测到两个面部。我尝试修改代码,但似乎没有按预期工作。以下是代码:
gray = grabber.QueryGrayFrame().Resize(320, 240,
Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC);
MCvAvgComp[][] facesDetected = gray.DetectHaarCascade(
face,
1.2,
10,
Emgu.CV.CvEnum.HAAR_DETECTION_TYPE.DO_CANNY_PRUNING,
new Size(20, 20));
foreach (MCvAvgComp f in facesDetected[0])
{
TrainedFace = currentFrame.Copy(f.rect).Convert<Gray, byte>();
TrainedFace = result.Resize(100, 100, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC);
trainingImages.Add(TrainedFace);
for (int i = 1; i < trainingImages.ToArray().Length + 1; i++)
{
trainingImages.ToArray()[i - 1].Save(Application.StartupPath + "/TrainedFaces/face" + i + ".bmp");
}
}
当检测到2个面时,foreach循环将循环两次,但是面部保存是相同的。知道出了什么问题吗?
答案 0 :(得分:0)
请尝试以下方式
对于检测到的每个脸部,您必须将其添加到训练图像中 并且你需要将它循环到每个循环的一侧
gray = grabber.QueryGrayFrame().Resize(320, 240,
Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC);
MCvAvgComp[][] facesDetected = gray.DetectHaarCascade(
face,
1.2,
10,
Emgu.CV.CvEnum.HAAR_DETECTION_TYPE.DO_CANNY_PRUNING,
new Size(20, 20));
foreach (MCvAvgComp f in facesDetected[0])
{
TrainedFace = currentFrame.Copy(f.rect).Convert<Gray, byte>();
TrainedFace = result.Resize(100, 100, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC);
trainingImages.Add(TrainedFace);
}
for (int i = 1; i < trainingImages.ToArray().Length + 1; i++)
{
trainingImages.ToArray()[i - 1].Save(Application.StartupPath + "/TrainedFaces/face" + i + ".bmp");
}
我认为for循环可以改为
int i=1;
foreach(TrainedFace Tface in trainingImages)
{
Tface.Save(Application.StartupPath + "/TrainedFaces/face" + i + ".bmp")
i++;
}
请尝试这种方式,它可能会有效..