public void TestConvolutionAndLaplace()
{
if (CudaInvoke.HasCuda)
{
Image <Gray, Byte> image = new Image <Gray, byte>(300, 400);
image.SetRandUniform(new MCvScalar(0.0), new MCvScalar(255.0));
float[,] k = { { 0, 1, 0 },
{ 1, -4, 1 },
{ 0, 1, 0 } };
using (ConvolutionKernelF kernel = new ConvolutionKernelF(k))
using (Stream s = new Stream())
using (GpuMat cudaImg = new GpuMat(image))
using (GpuMat cudaLaplace = new GpuMat())
using (CudaLinearFilter cudaLinear = new CudaLinearFilter(DepthType.Cv8U, 1, DepthType.Cv8U, 1, kernel, kernel.Center))
using (GpuMat cudaConv = new GpuMat())
using (CudaLaplacianFilter laplacian = new CudaLaplacianFilter(DepthType.Cv8U, 1, DepthType.Cv8U, 1, 1, 1.0))
{
cudaLinear.Apply(cudaImg, cudaConv, s);
laplacian.Apply(cudaImg, cudaLaplace, s);
s.WaitForCompletion();
Assert.IsTrue(cudaLaplace.Equals(cudaConv));
}
}
}
public void TestConvolutionAndLaplace()
{
if (CudaInvoke.HasCuda)
{
Image<Gray, Byte> image = new Image<Gray, byte>(300, 400);
image.SetRandUniform(new MCvScalar(0.0), new MCvScalar(255.0));
float[,] k = { {0, 1, 0},
{1, -4, 1},
{0, 1, 0}};
using (ConvolutionKernelF kernel = new ConvolutionKernelF(k))
using (Stream s = new Stream())
using (GpuMat cudaImg = new GpuMat(image))
using (GpuMat cudaLaplace = new GpuMat())
using (CudaLinearFilter cudaLinear = new CudaLinearFilter(DepthType.Cv8U, 1, DepthType.Cv8U, 1, kernel, kernel.Center))
using (GpuMat cudaConv = new GpuMat())
using (CudaLaplacianFilter laplacian = new CudaLaplacianFilter(DepthType.Cv8U, 1, DepthType.Cv8U, 1, 1, 1.0))
{
cudaLinear.Apply(cudaImg, cudaConv, s);
laplacian.Apply(cudaImg, cudaLaplace, s);
s.WaitForCompletion();
Assert.IsTrue(cudaLaplace.Equals(cudaConv));
}
}
}