public void TestCudaPyrLKOpticalFlow()
{
if (!CudaInvoke.HasCuda)
{
return;
}
Image <Gray, Byte> prevImg, currImg;
AutoTestVarious.OpticalFlowImage(out prevImg, out currImg);
Mat flow = new Mat();
CudaDensePyrLKOpticalFlow opticalflow = new CudaDensePyrLKOpticalFlow(new Size(21, 21), 3, 30, false);
using (CudaImage <Gray, Byte> prevGpu = new CudaImage <Gray, byte>(prevImg))
using (CudaImage <Gray, byte> currGpu = new CudaImage <Gray, byte>(currImg))
using (GpuMat flowGpu = new GpuMat())
{
opticalflow.Calc(prevGpu, currGpu, flowGpu);
flowGpu.Download(flow);
}
}
public void TestCudaBroxOpticalFlow()
{
if (!CudaInvoke.HasCuda)
{
return;
}
Image <Gray, Byte> prevImg, currImg;
AutoTestVarious.OpticalFlowImage(out prevImg, out currImg);
Mat flow = new Mat();
CudaBroxOpticalFlow opticalflow = new CudaBroxOpticalFlow();
using (CudaImage <Gray, float> prevGpu = new CudaImage <Gray, float>(prevImg.Convert <Gray, float>()))
using (CudaImage <Gray, float> currGpu = new CudaImage <Gray, float>(currImg.Convert <Gray, float>()))
using (GpuMat flowGpu = new GpuMat())
{
opticalflow.Calc(prevGpu, currGpu, flowGpu);
flowGpu.Download(flow);
}
}
public void TestCudaPyrLKOpticalFlow()
{
if (!CudaInvoke.HasCuda)
{
return;
}
Image <Gray, Byte> prevImg, currImg;
AutoTestVarious.OpticalFlowImage(out prevImg, out currImg);
Image <Gray, Single> flowx = new Image <Gray, float>(prevImg.Size);
Image <Gray, Single> flowy = new Image <Gray, float>(prevImg.Size);
CudaPyrLKOpticalFlow flow = new CudaPyrLKOpticalFlow(new Size(21, 21), 3, 30, false);
using (CudaImage <Gray, Byte> prevGpu = new CudaImage <Gray, byte>(prevImg))
using (CudaImage <Gray, byte> currGpu = new CudaImage <Gray, byte>(currImg))
using (CudaImage <Gray, float> flowxGpu = new CudaImage <Gray, float>(prevGpu.Size))
using (CudaImage <Gray, float> flowyGpu = new CudaImage <Gray, float>(prevGpu.Size))
{
flow.Dense(prevGpu, currGpu, flowxGpu, flowyGpu);
flowxGpu.Download(flowx);
flowyGpu.Download(flowy);
}
}
