/// <summary>
/// Convert the CudaImage to its equivalent Bitmap representation
/// </summary>
public static Bitmap ToBitmap <TColor, TDepth>(this CudaImage <TColor, TDepth> cudaImage) where
TColor : struct, IColor
where TDepth : new()
{
if (typeof(TColor) == typeof(Bgr) && typeof(TDepth) == typeof(Byte))
{
Size s = cudaImage.Size;
Bitmap result = new Bitmap(s.Width, s.Height, System.Drawing.Imaging.PixelFormat.Format24bppRgb);
System.Drawing.Imaging.BitmapData data = result.LockBits(new Rectangle(Point.Empty, result.Size),
System.Drawing.Imaging.ImageLockMode.WriteOnly, result.PixelFormat);
using (Image <TColor, TDepth> tmp = new Image <TColor, TDepth>(s.Width, s.Height, data.Stride, data.Scan0)
)
{
cudaImage.Download(tmp);
}
result.UnlockBits(data);
return(result);
}
else
{
using (Image <TColor, TDepth> tmp = cudaImage.ToImage())
{
return(tmp.ToBitmap());
}
}
}
public void TestCudaPyr()
{
if (!CudaInvoke.HasCuda)
{
return;
}
Image <Gray, Byte> img = new Image <Gray, byte>(640, 480);
img.SetRandUniform(new MCvScalar(), new MCvScalar(255, 255, 255));
Image <Gray, Byte> down = img.PyrDown();
Image <Gray, Byte> up = down.PyrUp();
CudaImage <Gray, Byte> gImg = new CudaImage <Gray, byte>(img);
CudaImage <Gray, Byte> gDown = new CudaImage <Gray, byte>(img.Size.Width >> 1, img.Size.Height >> 1);
CudaImage <Gray, Byte> gUp = new CudaImage <Gray, byte>(img.Size);
CudaInvoke.PyrDown(gImg, gDown, null);
CudaInvoke.PyrUp(gDown, gUp, null);
CvInvoke.AbsDiff(down, gDown.ToImage(), down);
CvInvoke.AbsDiff(up, gUp.ToImage(), up);
double[] minVals, maxVals;
Point[] minLocs, maxLocs;
down.MinMax(out minVals, out maxVals, out minLocs, out maxLocs);
double maxVal = 0.0;
for (int i = 0; i < maxVals.Length; i++)
{
if (maxVals[i] > maxVal)
{
maxVal = maxVals[i];
}
}
Trace.WriteLine(String.Format("Max diff: {0}", maxVal));
EmguAssert.IsTrue(maxVal <= 1.0);
//Assert.LessOrEqual(maxVal, 1.0);
up.MinMax(out minVals, out maxVals, out minLocs, out maxLocs);
maxVal = 0.0;
for (int i = 0; i < maxVals.Length; i++)
{
if (maxVals[i] > maxVal)
{
maxVal = maxVals[i];
}
}
Trace.WriteLine(String.Format("Max diff: {0}", maxVal));
EmguAssert.IsTrue(maxVal <= 1.0);
//Assert.LessOrEqual(maxVal, 1.0);
}
public void TestClone()
{
if (CudaInvoke.HasCuda)
{
Image <Gray, Byte> img = new Image <Gray, byte>(300, 400);
img.SetRandUniform(new MCvScalar(0.0), new MCvScalar(255.0));
using (CudaImage <Gray, Byte> gImg1 = new CudaImage <Gray, byte>(img))
using (CudaImage <Gray, Byte> gImg2 = gImg1.Clone(null))
using (Image <Gray, Byte> img2 = gImg2.ToImage())
{
Assert.IsTrue(img.Equals(img2));
}
}
}
public void TestColorConvert()
{
if (CudaInvoke.HasCuda)
{
Image <Bgr, Byte> img = new Image <Bgr, byte>(300, 400);
img.SetRandUniform(new MCvScalar(0.0, 0.0, 0.0), new MCvScalar(255.0, 255.0, 255.0));
Image <Gray, Byte> imgGray = img.Convert <Gray, Byte>();
Image <Hsv, Byte> imgHsv = img.Convert <Hsv, Byte>();
CudaImage <Bgr, Byte> gpuImg = new CudaImage <Bgr, Byte>(img);
CudaImage <Gray, Byte> gpuImgGray = gpuImg.Convert <Gray, Byte>();
CudaImage <Hsv, Byte> gpuImgHsv = gpuImg.Convert <Hsv, Byte>();
Assert.IsTrue(gpuImgGray.Equals(new CudaImage <Gray, Byte>(imgGray)));
Assert.IsTrue(gpuImgHsv.ToImage().Equals(imgHsv));
Assert.IsTrue(gpuImgHsv.Equals(new CudaImage <Hsv, Byte>(imgHsv)));
}
}
public Rectangle[] FindFaces(Mat frame, ref int type)
{
if (CudaInvoke.HasCuda && Global.useCuda)
{
using (CudaImage <Bgr, Byte> gpuImage = new CudaImage <Bgr, byte>(frame))
using (CudaImage <Gray, Byte> gpuGray = gpuImage.Convert <Gray, Byte>())
using (GpuMat region = new GpuMat())
{
cuda_ccFace.DetectMultiScale(gpuGray, region);
Rectangle[] faces = cuda_ccFace.Convert(region);
if (faces.Length == 0)
{
cuda_ccSideFace.DetectMultiScale(gpuGray, region);
faces = cuda_ccSideFace.Convert(region);
if (faces.Length == 0)
{
Image <Gray, byte> grayImage = gpuGray.ToImage();
faces = ccAltFace.DetectMultiScale(grayImage, 1.02, 5, cuda_ccFace.MinObjectSize);
if (faces.Length != 0)
{
type = 3;
}
}
else
{
type = 2;
}
}
else
{
type = 1;
}
return(faces);
}
}
else
{
return(FindFaces_WithoutGPU(frame, ref type));
}
//return null;
}
public void TestResizeGray()
{
if (CudaInvoke.HasCuda)
{
Image <Gray, Byte> img = new Image <Gray, byte>(300, 400);
img.SetRandUniform(new MCvScalar(0.0), new MCvScalar(255.0));
//Image<Gray, Byte> img = new Image<Gray, byte>("airplane.jpg");
Image <Gray, Byte> small = img.Resize(100, 200, Emgu.CV.CvEnum.Inter.Linear);
CudaImage <Gray, Byte> gpuImg = new CudaImage <Gray, byte>(img);
CudaImage <Gray, byte> smallGpuImg = new CudaImage <Gray, byte>(small.Size);
CudaInvoke.Resize(gpuImg, smallGpuImg, small.Size);
Image <Gray, Byte> diff = smallGpuImg.ToImage().AbsDiff(small);
//ImageViewer.Show(smallGpuImg.ToImage());
//ImageViewer.Show(small);
//Assert.IsTrue(smallGpuImg.ToImage().Equals(small));
}
}
public void TestResizeBgr()
{
if (CudaInvoke.HasCuda)
{
Image <Bgr, Byte> img = new Image <Bgr, byte>("pedestrian.png");
//img.SetRandUniform(new MCvScalar(0.0, 0.0, 0.0), new MCvScalar(255.0, 255.0, 255.0));
Size size = new Size(100, 200);
CudaImage <Bgr, Byte> cudaImg = new CudaImage <Bgr, byte>(img);
CudaImage <Bgr, byte> smallCudaImg = new CudaImage <Bgr, byte>(size);
CudaInvoke.Resize(cudaImg, smallCudaImg, size);
Image <Bgr, Byte> smallCpuImg = img.Resize(size.Width, size.Height, Emgu.CV.CvEnum.Inter.Linear);
Image <Bgr, Byte> diff = smallCudaImg.ToImage().AbsDiff(smallCpuImg);
//TODO: Check why they are not an exact match
//Assert.IsTrue(diff.CountNonzero()[0] == 0);
//ImageViewer.Show(smallGpuImg.ToImage());
//ImageViewer.Show(small);
}
}
public void TestGpuMatAdd()
{
if (CudaInvoke.HasCuda)
{
int repeat = 1000;
Image <Gray, Byte> img1 = new Image <Gray, byte>(1200, 640);
Image <Gray, Byte> img2 = new Image <Gray, byte>(img1.Size);
img1.SetRandUniform(new MCvScalar(0, 0, 0), new MCvScalar(255, 255, 255));
img2.SetRandUniform(new MCvScalar(0, 0, 0), new MCvScalar(255, 255, 255));
Image <Gray, Byte> cpuImgSum = new Image <Gray, byte>(img1.Size);
Stopwatch watch = Stopwatch.StartNew();
for (int i = 0; i < repeat; i++)
{
CvInvoke.Add(img1, img2, cpuImgSum, null, CvEnum.DepthType.Cv8U);
}
watch.Stop();
Trace.WriteLine(String.Format("CPU processing time: {0}ms", (double)watch.ElapsedMilliseconds / repeat));
watch.Reset(); watch.Start();
CudaImage <Gray, Byte> gpuImg1 = new CudaImage <Gray, byte>(img1);
CudaImage <Gray, Byte> gpuImg2 = new CudaImage <Gray, byte>(img2);
CudaImage <Gray, Byte> gpuImgSum = new CudaImage <Gray, byte>(gpuImg1.Size);
Stopwatch watch2 = Stopwatch.StartNew();
for (int i = 0; i < repeat; i++)
{
CudaInvoke.Add(gpuImg1, gpuImg2, gpuImgSum);
}
watch2.Stop();
Image <Gray, Byte> cpuImgSumFromGpu = gpuImgSum.ToImage();
watch.Stop();
Trace.WriteLine(String.Format("Core GPU processing time: {0}ms", (double)watch2.ElapsedMilliseconds / repeat));
//Trace.WriteLine(String.Format("Total GPU processing time: {0}ms", (double)watch.ElapsedMilliseconds/repeat));
Assert.IsTrue(cpuImgSum.Equals(cpuImgSumFromGpu));
}
}
public void TestCudaPyr()
{
if (!CudaInvoke.HasCuda)
return;
Image<Gray, Byte> img = new Image<Gray, byte>(640, 480);
img.SetRandUniform(new MCvScalar(), new MCvScalar(255, 255, 255));
Image<Gray, Byte> down = img.PyrDown();
Image<Gray, Byte> up = down.PyrUp();
CudaImage<Gray, Byte> gImg = new CudaImage<Gray, byte>(img);
CudaImage<Gray, Byte> gDown = new CudaImage<Gray, byte>(img.Size.Width >> 1, img.Size.Height >> 1);
CudaImage<Gray, Byte> gUp = new CudaImage<Gray, byte>(img.Size);
CudaInvoke.PyrDown(gImg, gDown, null);
CudaInvoke.PyrUp(gDown, gUp, null);
CvInvoke.AbsDiff(down, gDown.ToImage(), down);
CvInvoke.AbsDiff(up, gUp.ToImage(), up);
double[] minVals, maxVals;
Point[] minLocs, maxLocs;
down.MinMax(out minVals, out maxVals, out minLocs, out maxLocs);
double maxVal = 0.0;
for (int i = 0; i < maxVals.Length; i++)
{
if (maxVals[i] > maxVal)
maxVal = maxVals[i];
}
Trace.WriteLine(String.Format("Max diff: {0}", maxVal));
Assert.LessOrEqual(maxVal, 1.0);
up.MinMax(out minVals, out maxVals, out minLocs, out maxLocs);
maxVal = 0.0;
for (int i = 0; i < maxVals.Length; i++)
{
if (maxVals[i] > maxVal)
maxVal = maxVals[i];
}
Trace.WriteLine(String.Format("Max diff: {0}", maxVal));
Assert.LessOrEqual(maxVal, 1.0);
}
public void TestResizeBgr()
{
if (CudaInvoke.HasCuda)
{
Image<Bgr, Byte> img = new Image<Bgr, byte>("pedestrian.png");
//img.SetRandUniform(new MCvScalar(0.0, 0.0, 0.0), new MCvScalar(255.0, 255.0, 255.0));
Size size = new Size(100, 200);
CudaImage<Bgr, Byte> cudaImg = new CudaImage<Bgr, byte>(img);
CudaImage<Bgr, byte> smallCudaImg = new CudaImage<Bgr, byte>(size);
CudaInvoke.Resize(cudaImg, smallCudaImg, size);
Image<Bgr, Byte> smallCpuImg = img.Resize(size.Width, size.Height, Emgu.CV.CvEnum.Inter.Linear);
Image<Bgr, Byte> diff = smallCudaImg.ToImage().AbsDiff(smallCpuImg);
//TODO: Check why they are not an exact match
//Assert.IsTrue(diff.CountNonzero()[0] == 0);
//ImageViewer.Show(smallGpuImg.ToImage());
//ImageViewer.Show(small);
}
}
public void TestResizeGray()
{
if (CudaInvoke.HasCuda)
{
Image<Gray, Byte> img = new Image<Gray, byte>(300, 400);
img.SetRandUniform(new MCvScalar(0.0), new MCvScalar(255.0));
//Image<Gray, Byte> img = new Image<Gray, byte>("airplane.jpg");
Image<Gray, Byte> small = img.Resize(100, 200, Emgu.CV.CvEnum.Inter.Linear);
CudaImage<Gray, Byte> gpuImg = new CudaImage<Gray, byte>(img);
CudaImage<Gray, byte> smallGpuImg = new CudaImage<Gray, byte>(small.Size);
CudaInvoke.Resize(gpuImg, smallGpuImg, small.Size);
Image<Gray, Byte> diff = smallGpuImg.ToImage().AbsDiff(small);
//ImageViewer.Show(smallGpuImg.ToImage());
//ImageViewer.Show(small);
//Assert.IsTrue(smallGpuImg.ToImage().Equals(small));
}
}
public void TestGpuMatAdd()
{
if (CudaInvoke.HasCuda)
{
int repeat = 1000;
Image<Gray, Byte> img1 = new Image<Gray, byte>(1200, 640);
Image<Gray, Byte> img2 = new Image<Gray, byte>(img1.Size);
img1.SetRandUniform(new MCvScalar(0, 0, 0), new MCvScalar(255, 255, 255));
img2.SetRandUniform(new MCvScalar(0, 0, 0), new MCvScalar(255, 255, 255));
Image<Gray, Byte> cpuImgSum = new Image<Gray, byte>(img1.Size);
Stopwatch watch = Stopwatch.StartNew();
for (int i = 0; i < repeat; i++)
CvInvoke.Add(img1, img2, cpuImgSum, null, CvEnum.DepthType.Cv8U);
watch.Stop();
Trace.WriteLine(String.Format("CPU processing time: {0}ms", (double)watch.ElapsedMilliseconds / repeat));
watch.Reset(); watch.Start();
CudaImage<Gray, Byte> gpuImg1 = new CudaImage<Gray, byte>(img1);
CudaImage<Gray, Byte> gpuImg2 = new CudaImage<Gray, byte>(img2);
CudaImage<Gray, Byte> gpuImgSum = new CudaImage<Gray, byte>(gpuImg1.Size);
Stopwatch watch2 = Stopwatch.StartNew();
for (int i = 0; i < repeat; i++)
CudaInvoke.Add(gpuImg1, gpuImg2, gpuImgSum);
watch2.Stop();
Image<Gray, Byte> cpuImgSumFromGpu = gpuImgSum.ToImage();
watch.Stop();
Trace.WriteLine(String.Format("Core GPU processing time: {0}ms", (double)watch2.ElapsedMilliseconds / repeat));
//Trace.WriteLine(String.Format("Total GPU processing time: {0}ms", (double)watch.ElapsedMilliseconds/repeat));
Assert.IsTrue(cpuImgSum.Equals(cpuImgSumFromGpu));
}
}