static void Main()
{
Application.EnableVisualStyles();
Application.SetCompatibleTextRenderingDefault(false);
using (Mat image = new Mat("pedestrian.png"))
{
long processingTime;
Rectangle[] results;
if (CudaInvoke.HasCuda)
{
using (GpuMat gpuMat = new GpuMat(image))
results = FindPedestrian.Find(gpuMat, out processingTime);
}
else
{
using (UMat uImage = image.GetUMat(AccessType.ReadWrite))
results = FindPedestrian.Find(uImage, out processingTime);
}
foreach (Rectangle rect in results)
{
CvInvoke.Rectangle(image, rect, new Bgr(Color.Red).MCvScalar);
}
ImageViewer.Show(
image,
String.Format("Pedestrian detection using {0} in {1} milliseconds.",
CudaInvoke.HasCuda ? "GPU" :
CvInvoke.UseOpenCL ? "OpenCL":
"CPU",
processingTime));
}
}
static void Main()
{
Application.EnableVisualStyles();
Application.SetCompatibleTextRenderingDefault(false);
using (Image <Bgr, Byte> image = new Image <Bgr, byte>("pedestrian.png"))
{
long processingTime;
Rectangle[] results = FindPedestrian.Find(image, out processingTime);
foreach (Rectangle rect in results)
{
image.Draw(rect, new Bgr(Color.Red), 1);
}
ImageViewer.Show(
image,
String.Format("Pedestrain detection using {0} in {1} milliseconds.",
GpuInvoke.HasCuda ? "GPU" : "CPU",
processingTime));
}
}
static void Main()
{
Application.EnableVisualStyles();
Application.SetCompatibleTextRenderingDefault(false);
using (Image <Bgr, byte> image = new Image <Bgr, byte>("pedestrian.png"))
{
long processingTime;
Rectangle[] results = FindPedestrian.Find(image.Mat, out processingTime);
foreach (Rectangle rect in results)
{
CvInvoke.Rectangle(image, rect, new MCvScalar(0, 0, 255, 255));
}
ImageViewer.Show(
image,
String.Format("Pedestrain detection using {0} in {1} milliseconds.",
CudaInvoke.HasCuda ? "GPU" :
(CvInvoke.HaveOpenCL ? "OpenCL":
"CPU"),
processingTime));
}
}
static void Main()
{
Application.EnableVisualStyles();
Application.SetCompatibleTextRenderingDefault(false);
using (Mat image = new Mat("pedestrian.png", LoadImageType.Color))
{
bool tryUseCuda = true;
long processingTime;
Rectangle[] results = FindPedestrian.Find(image, tryUseCuda, out processingTime);
foreach (Rectangle rect in results)
{
CvInvoke.Rectangle(image, rect, new Bgr(Color.Red).MCvScalar);
}
ImageViewer.Show(
image,
String.Format("Pedestrian detection using {0} in {1} milliseconds.",
(tryUseCuda && CudaInvoke.HasCuda) ? "GPU" :
CvInvoke.UseOpenCL ? "OpenCL":
"CPU",
processingTime));
}
}
