public void TestMatchTemplate()
{
if (!CudaInvoke.HasCuda)
{
return;
}
#region prepare synthetic image for testing
int templWidth = 50;
int templHeight = 50;
Point templCenter = new Point(120, 100);
//Create a random object
Image <Bgr, Byte> randomObj = new Image <Bgr, byte>(templWidth, templHeight);
randomObj.SetRandUniform(new MCvScalar(), new MCvScalar(255, 255, 255));
//Draw the object in image1 center at templCenter;
Image <Bgr, Byte> img = new Image <Bgr, byte>(300, 200);
Rectangle objectLocation = new Rectangle(templCenter.X - (templWidth >> 1), templCenter.Y - (templHeight >> 1), templWidth, templHeight);
img.ROI = objectLocation;
randomObj.Copy(img, null);
img.ROI = Rectangle.Empty;
#endregion
Image <Gray, Single> match = img.MatchTemplate(randomObj, Emgu.CV.CvEnum.TemplateMatchingType.Sqdiff);
double[] minVal, maxVal;
Point[] minLoc, maxLoc;
match.MinMax(out minVal, out maxVal, out minLoc, out maxLoc);
double gpuMinVal = 0, gpuMaxVal = 0;
Point gpuMinLoc = Point.Empty, gpuMaxLoc = Point.Empty;
GpuMat cudaImage = new GpuMat(img);
GpuMat gpuRandomObj = new GpuMat(randomObj);
GpuMat gpuMatch = new GpuMat();
using (CudaTemplateMatching buffer = new CudaTemplateMatching(DepthType.Cv8U, 3, CvEnum.TemplateMatchingType.Sqdiff))
using (Stream stream = new Stream())
{
buffer.Match(cudaImage, gpuRandomObj, gpuMatch, stream);
//GpuInvoke.MatchTemplate(CudaImage, gpuRandomObj, gpuMatch, CvEnum.TM_TYPE.CV_TM_SQDIFF, buffer, stream);
stream.WaitForCompletion();
CudaInvoke.MinMaxLoc(gpuMatch, ref gpuMinVal, ref gpuMaxVal, ref gpuMinLoc, ref gpuMaxLoc, null);
}
EmguAssert.AreEqual(minLoc[0].X, templCenter.X - templWidth / 2);
EmguAssert.AreEqual(minLoc[0].Y, templCenter.Y - templHeight / 2);
EmguAssert.IsTrue(minLoc[0].Equals(gpuMinLoc));
EmguAssert.IsTrue(maxLoc[0].Equals(gpuMaxLoc));
}
