本文整理汇总了C#中Mat.submat方法的典型用法代码示例。如果您正苦于以下问题：C# Mat.submat方法的具体用法？C# Mat.submat怎么用？C# Mat.submat使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类Mat的用法示例。
在下文中一共展示了Mat.submat方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C#代码示例。
示例1: Start
// Use this for initialization
void Start ()
{
List<Mat> images = new List<Mat> ();
List<int> labelsList = new List<int> ();
MatOfInt labels = new MatOfInt ();
images.Add (Highgui.imread (Utils.getFilePath ("facerec/facerec_0.bmp"), 0));
images.Add (Highgui.imread (Utils.getFilePath ("facerec/facerec_1.bmp"), 0));
labelsList.Add (0);
labelsList.Add (1);
labels.fromList (labelsList);
Mat testSampleMat = Highgui.imread (Utils.getFilePath ("facerec/facerec_sample.bmp"), 0);
int testSampleLabel = 0;
// foreach (Mat item in images) {
// Debug.Log ("images.ToString " + item.ToString ());
// }
// foreach (int item in labelsList) {
// Debug.Log ("labels.ToString " + item.ToString ());
// }
int[] predictedLabel = new int[1];
double[] predictedConfidence = new double[1];
FaceRecognizer faceRecognizer = FaceRecognizer.createEigenFaceRecognizer ();
faceRecognizer.train (images, labels);
faceRecognizer.predict (testSampleMat, predictedLabel, predictedConfidence);
Debug.Log ("Predicted class: " + predictedLabel [0] + " / " + "Actual class: " + testSampleLabel);
Debug.Log ("Confidence: " + predictedConfidence [0]);
Mat predictedMat = images [predictedLabel [0]];
Mat baseMat = new Mat (testSampleMat.rows (), predictedMat.cols () + testSampleMat.cols (), CvType.CV_8UC1);
predictedMat.copyTo (baseMat.submat (new OpenCVForUnity.Rect (0, 0, predictedMat.cols (), predictedMat.rows ())));
testSampleMat.copyTo (baseMat.submat (new OpenCVForUnity.Rect (predictedMat.cols (), 0, testSampleMat.cols (), testSampleMat.rows ())));
Core.putText (baseMat, "Predicted", new Point (10, baseMat.rows () - 5), Core.FONT_HERSHEY_SIMPLEX, 0.4, new Scalar (255), 1, Core.LINE_AA, false);
Core.putText (baseMat, "TestSample", new Point (predictedMat.cols () + 10, baseMat.rows () - 5), Core.FONT_HERSHEY_SIMPLEX, 0.4, new Scalar (255), 1, Core.LINE_AA, false);
Texture2D texture = new Texture2D (baseMat.cols (), baseMat.rows (), TextureFormat.RGBA32, false);
Utils.matToTexture2D (baseMat, texture);
gameObject.GetComponent<Renderer> ().material.mainTexture = texture;
}示例2: onTouch
/// <summary>
/// Ons the touch.
/// </summary>
/// <param name="touchPoint">Touch point.</param>
public void onTouch(Mat rgbaMat, Point touchPoint)
{
int cols = rgbaMat.cols ();
int rows = rgbaMat.rows ();
int x = (int)touchPoint.x;
int y = (int)touchPoint.y;
// Debug.Log ("Touch image coordinates: (" + x + ", " + y + ")");
if ((x < 0) || (y < 0) || (x > cols) || (y > rows))
return;
OpenCVForUnity.Rect touchedRect = new OpenCVForUnity.Rect ();
touchedRect.x = (x > 5) ? x - 5 : 0;
touchedRect.y = (y > 5) ? y - 5 : 0;
touchedRect.width = (x + 5 < cols) ? x + 5 - touchedRect.x : cols - touchedRect.x;
touchedRect.height = (y + 5 < rows) ? y + 5 - touchedRect.y : rows - touchedRect.y;
Mat touchedRegionRgba = rgbaMat.submat (touchedRect);
Mat touchedRegionHsv = new Mat ();
Imgproc.cvtColor (touchedRegionRgba, touchedRegionHsv, Imgproc.COLOR_RGB2HSV_FULL);
// Calculate average color of touched region
blobColorHsv = Core.sumElems (touchedRegionHsv);
int pointCount = touchedRect.width * touchedRect.height;
for (int i = 0; i < blobColorHsv.val.Length; i++)
blobColorHsv.val [i] /= pointCount;
//blobColorRgba = converScalarHsv2Rgba (blobColorHsv);
// Debug.Log ("Touched rgba color: (" + mBlobColorRgba.val [0] + ", " + mBlobColorRgba.val [1] +
// ", " + mBlobColorRgba.val [2] + ", " + mBlobColorRgba.val [3] + ")");
detector.setHsvColor (blobColorHsv);
Imgproc.resize (detector.getSpectrum (), spectrumMat, SPECTRUM_SIZE);
isColorSelected = true;
touchedRegionRgba.release ();
touchedRegionHsv.release ();
}