static void Main(string[] args)
{
Mat src1 = Cv2.ImRead("gerbera.jpg");
Mat dst = new Mat(src1.Size(), MatType.CV_8UC3);
Cv2.Compare(src1, new Scalar(200, 127, 100), dst, CmpTypes.GT);
Cv2.ImShow("dst", dst);
Cv2.WaitKey(0);
Cv2.DestroyAllWindows();
}
void GrabCut()
{
Debug.Log("GrabCut");
Mat result = faceDetectionImage.VideoSourceImage;
Mat bgModel = new Mat(); //background model
Mat fgModel = new Mat(); //foreground model
//draw a rectangle
OpenCvSharp.Rect rectangle = new OpenCvSharp.Rect(1, 1, faceDetectionImage.VideoSourceImage.Cols - 1, faceDetectionImage.VideoSourceImage.Rows - 1);
Cv2.GrabCut(faceDetectionImage.VideoSourceImage, result, rectangle, bgModel, fgModel, 10, GrabCutModes.InitWithRect);
Cv2.Compare(result, new Scalar(3, 3, 3), result, CmpTypes.EQ);
matrix2_grabcut = new Mat(faceDetectionImage.VideoSourceImage.Size(), MatType.CV_8UC3, new Scalar(255, 255, 255));
faceDetectionImage.VideoSourceImage.CopyTo(matrix2_grabcut, result);
}
public void Compare()
{
var bytes = new byte[] { 1, 2, 3, 4, 5, 6 };
using var src = new Mat(bytes.Length, 1, MatType.CV_8UC1, bytes);
using var dst = new Mat();
Cv2.Compare(src, 3, dst, CmpTypes.LE);
Assert.Equal(255, dst.Get <byte>(0));
Assert.Equal(255, dst.Get <byte>(1));
Assert.Equal(255, dst.Get <byte>(2));
Assert.Equal(0, dst.Get <byte>(3));
Assert.Equal(0, dst.Get <byte>(4));
Assert.Equal(0, dst.Get <byte>(5));
}
public void cuda_compare()
{
Mat mat1 = Image("lenna.png", ImreadModes.Grayscale);
Size size = mat1.Size();
Mat mat2 = new Mat(size, mat1.Type(), new Scalar(2));
using (GpuMat g_mat1 = new GpuMat(size, mat1.Type()))
using (GpuMat dst = new GpuMat()) {
GpuMat g_mat2 = new GpuMat(size, mat2.Type());
g_mat2.Upload(mat2);
g_mat1.Upload(mat1);
Cuda.cuda.compare(g_mat1, g_mat2, dst, CmpTypes.EQ);
Mat dst_gold = new Mat(size, mat1.Type(), Scalar.Black);
Cv2.Compare(mat1, mat2, dst_gold, CmpTypes.EQ);
ImageEquals(dst_gold, dst);
ShowImagesWhenDebugMode(g_mat1, dst);
}
}
protected static void ImageEquals(Mat img1, Mat img2)
{
if (img1 == null && img2 == null)
{
return;
}
Assert.NotNull(img1);
Assert.NotNull(img2);
#pragma warning disable CS8602
#pragma warning disable CA1062
Assert.Equal(img1.Type(), img2.Type());
#pragma warning restore CS8602
#pragma warning restore CA1062
using (var comparison = new Mat())
{
Cv2.Compare(img1, img2, comparison, CmpTypes.NE);
if (img1.Channels() == 1)
{
Assert.Equal(0, Cv2.CountNonZero(comparison));
}
else
{
var channels = Cv2.Split(comparison);
try
{
foreach (var channel in channels)
{
Assert.Equal(0, Cv2.CountNonZero(channel));
}
}
finally
{
foreach (var channel in channels)
{
channel.Dispose();
}
}
}
}
}
//Grabcut分割函数封装
private Mat grabCut(Mat image, int ITER_COUNT, GrabCutModes GRABCUTMODE, int x, int y, int w, int h)
{
var bgModel = new Mat();
var fgdModel = new Mat();
var bgModel1 = new Mat();
var fgdModel1 = new Mat();
var mask = new Mat();
const int GC_PR_FGD = 3;
Rect rect = new Rect();
rect.X = x;
rect.Y = y;
rect.Width = w;
rect.Height = h;
Cv2.GrabCut(image, mask, rect, bgModel, fgdModel, ITER_COUNT, GRABCUTMODE);
Cv2.Compare(mask, GC_PR_FGD, mask, CmpTypes.EQ);
Mat foreground = new Mat(image.Size(), MatType.CV_8UC3, new Scalar(0, 0, 0));
image.CopyTo(foreground, mask);
showRect(rect.X, rect.Y, rect.Width, rect.Height);
showImagePara(image);
return(foreground);
}
protected void ImageEquals(Mat img1, Mat img2)
{
if (img1 == null && img2 == null)
{
return;
}
Assert.NotNull(img1);
Assert.NotNull(img2);
Assert.AreEqual(img1.Type(), img2.Type());
using (var comparison = new Mat())
{
Cv2.Compare(img1, img2, comparison, CmpTypes.NE);
if (img1.Channels() == 1)
{
Assert.Zero(Cv2.CountNonZero(comparison));
}
else
{
var channels = Cv2.Split(comparison);
try
{
foreach (var channel in channels)
{
Assert.Zero(Cv2.CountNonZero(channel));
}
}
finally
{
foreach (var channel in channels)
{
channel.Dispose();
}
}
}
}
}
