public void TestSplitMerge()
{
if (CudaInvoke.HasCuda)
{
using (Image <Bgr, Byte> img1 = new Image <Bgr, byte>(1200, 640))
{
img1.SetRandUniform(new MCvScalar(0, 0, 0), new MCvScalar(255, 255, 255));
using (GpuMat gpuImg1 = new GpuMat(img1))
{
GpuMat[] channels = gpuImg1.Split(null);
for (int i = 0; i < channels.Length; i++)
{
Mat imgL = channels[i].ToMat();
Image <Gray, Byte> imgR = img1[i];
Assert.IsTrue(imgL.Equals(imgR.Mat), "failed split GpuMat");
}
using (GpuMat gpuImg2 = new GpuMat())
{
gpuImg2.MergeFrom(channels, null);
using (Image <Bgr, byte> img2 = new Image <Bgr, byte>(img1.Size))
{
gpuImg2.Download(img2);
Assert.IsTrue(img2.Equals(img1), "failed split and merge test");
}
}
for (int i = 0; i < channels.Length; i++)
{
channels[i].Dispose();
}
}
}
}
}
public void TestSplitMerge()
{
if (CudaInvoke.HasCuda)
{
using (Image<Bgr, Byte> img1 = new Image<Bgr, byte>(1200, 640))
{
img1.SetRandUniform(new MCvScalar(0, 0, 0), new MCvScalar(255, 255, 255));
using (GpuMat gpuImg1 = new GpuMat(img1))
{
GpuMat[] channels = gpuImg1.Split(null);
for (int i = 0; i < channels.Length; i++)
{
Mat imgL = channels[i].ToMat();
Image<Gray, Byte> imgR = img1[i];
Assert.IsTrue(imgL.Equals(imgR.Mat), "failed split GpuMat");
}
using (GpuMat gpuImg2 = new GpuMat())
{
gpuImg2.MergeFrom(channels, null);
using (Image<Bgr, byte> img2 = new Image<Bgr, byte>(img1.Size))
{
gpuImg2.Download(img2);
Assert.IsTrue(img2.Equals(img1), "failed split and merge test");
}
}
for (int i = 0; i < channels.Length; i++)
{
channels[i].Dispose();
}
}
}
}
}