/** Background subtraction and check if mouse selected a target */
private OpenCVForUnity.Rect BgSub()
{
Mat fgmaskMat = new Mat();
roiRect = null;
OpenCVForUnity.Rect output;
//Background Subtraction
backgroundSubstractorMOG2.apply(frame, fgmaskMat);
//Closure *it is done to remove noise and close gaps that bgsub may leave where we don't want to
Mat structuringElement = Imgproc.getStructuringElement(Imgproc.MORPH_ELLIPSE, new Size(closingSize, closingSize));
Imgproc.dilate(fgmaskMat, fgmaskMat, structuringElement);
Imgproc.erode(fgmaskMat, fgmaskMat, structuringElement);
//Make mask binary
Mat maskBinary = new Mat();
Imgproc.threshold(fgmaskMat, maskBinary, 123, 255, Imgproc.THRESH_BINARY);
//Get Contours
List <MatOfPoint> contours = new List <MatOfPoint>();
OpenCVForUnity.Mat hierarchy = new OpenCVForUnity.Mat();
Imgproc.findContours(maskBinary, contours, hierarchy, Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_NONE);
foreach (MatOfPoint contour in contours)
{
output = Imgproc.boundingRect(new MatOfPoint(contour.toArray()));
Imgproc.rectangle(frame, output.tl(), output.br(), new Scalar(255, 0, 0), 2);
rectanglesToPrint.Add(new ColoredRect(output, Color.white));
UnityEngine.Rect check_pos = CVtoUnityRect(output);
if (Input.GetMouseButton(0) && check_pos.Contains(new Vector2(Input.mousePosition.x, Screen.height - Input.mousePosition.y)))
{
Debug.Log("Selected a target box");
Debug.Log(output);
return(output);
}
}
return(null);
}
IEnumerator GetPicture()
{
yield return(new WaitForEndOfFrame()); //攝影機讀取到的Frame繪製完畢後才進行拍照
//calculate mat of selected region and whole rawimage
OpenCVForUnity.Mat srcMat = new OpenCVForUnity.Mat(4, 1, CvType.CV_32FC2);
OpenCVForUnity.Mat dstMat = new OpenCVForUnity.Mat(4, 1, CvType.CV_32FC2);
dstMat.put(0, 0, rectTopLeft.x - rectBotLeft.x, rectTopLeft.y - rectBotLeft.y,
rectTopRight.x - rectBotLeft.x, rectTopRight.y - rectBotLeft.y,
rectBotLeft.x - rectBotLeft.x, rectBotLeft.y - rectBotLeft.y,
rectBotRight.x - rectBotLeft.x, rectBotRight.y - rectBotLeft.y);
//calculate transform matrix
transformMat = new OpenCVForUnity.Mat(3, 3, CvType.CV_32FC1);
transformMat = Imgproc.getPerspectiveTransform(srcMat, dstMat);
Texture2D sourceTex = ScreenCapture.CaptureScreenshotAsTexture();
Color[] pix = sourceTex.GetPixels((int)rectBotLeft.x, (int)rectBotLeft.y, width, height);
Texture2D destTex = new Texture2D(width, height);
destTex.SetPixels(pix);
destTex.Apply();
OpenCVForUnity.Size textureSize = new OpenCVForUnity.Size(width, height);
OpenCVForUnity.Mat rawImageSrcMat = new OpenCVForUnity.Mat(textureSize, CvType.CV_8UC4);
OpenCVForUnity.Mat rawImageSrcMatFlip = new OpenCVForUnity.Mat(textureSize, CvType.CV_8UC4);
Utils.texture2DToMat(destTex, rawImageSrcMat);
Core.flip(rawImageSrcMat, rawImageSrcMatFlip, 0);
OpenCVForUnity.Mat rawImageDstMat = new OpenCVForUnity.Mat(textureSize, CvType.CV_8UC4);
//Mat rawImageDstMatFlip = new Mat(textureSize, CvType.CV_8UC4);
Imgproc.warpPerspective(rawImageSrcMatFlip, rawImageDstMat, transformMat, textureSize);
texture = new Texture2D(width, height, TextureFormat.RGB24, false);
Utils.matToTexture2D(rawImageDstMat, texture);
rawImageRI.texture = texture;
}
IEnumerator CalculateHomography()
//void CalculateHomography()
{
//Debug.Log("CalculateHomography1");
//myCam.Pause();
yield return(new WaitForEndOfFrame());
//yield return new WaitForSeconds((float)0.5);
//程式開始後至少要等0.3秒才會出現影像畫面，不然算sift一開始就會記憶體爆掉
//input camera image
/*Texture2D sourceTex = ScreenCapture.CaptureScreenshotAsTexture();
* Color[] pix = sourceTex.GetPixels((int)rectBotLeft.x, (int)rectBotLeft.y, width, height);
* Texture2D tex = new Texture2D(width, height);
* tex.SetPixels(pix);
* tex.Apply();*/
//Debug.Log("CalculateHomography2");
//rawimage position at (0,0)，start from bottom left
int xStart = (int)(Screen.width - rawImageRT.rect.width) / 2;
int yStart = (int)(Screen.height - rawImageRT.rect.height) / 2;
/*Debug.Log("xStart: "+xStart);
* Debug.Log("yStart: "+yStart);
* Debug.Log("Screen.width: "+Screen.width);
* Debug.Log("Screen.height: "+Screen.height);
* Debug.Log("rawImageRT.rect.width: "+rawImageRT.rect.width);
* Debug.Log("rawImageRT.rect.height: "+rawImageRT.rect.height);*/
//get sign image with text
Texture2D sourceTex = ScreenCapture.CaptureScreenshotAsTexture();
//rawImageRI.texture = sourceTex;
//Color[] pix = sourceTex.GetPixels((int)rectBotLeft.x, (int)rectBotLeft.y, width, height);
Color[] pix = sourceTex.GetPixels(xStart, yStart, (int)rawImageRT.rect.width, (int)rawImageRT.rect.height);
tex = new Texture2D((int)rawImageRT.rect.width, (int)rawImageRT.rect.height);
tex.SetPixels(pix);
tex.Apply();
//Debug.Log("tex.width: "+tex.width);
//Debug.Log("tex.height: "+tex.height);
//input fixed image
/*Texture2D tex = new Texture2D(2,2);
* string imgPath = "../signboard-rectangle/test-199-fast-628.jpg";
* byte [] binaryImageData = File.ReadAllBytes(imgPath);
* tex.LoadImage(binaryImageData);*/
//scale texture to make it smaller
TextureScale.Bilinear(tex, tex.width / 2, tex.height / 2);
//必要 防止記憶體爆炸
tex = TextureGray.ToGray(tex);
//rawImageRI.texture = tex;
mat = Unity.TextureToMat(tex);
Destroy(sourceTex);
Destroy(tex);
//Cv2.ImShow("img", mat); ok
//OpenCvSharp.Mat mat = Cv2.ImRead(imgPath, ImreadModes.Unchanged);
//Debug.Log("mat: "+mat.ToString());
//string imgPath = "../signboard-rectangle/test-199-fast-628.jpg";
//OpenCvSharp.Mat mat = Cv2.ImRead(imgPath);
InputArray imgCam = InputArray.Create(mat);
desCam = OutputArray.Create(mat);
//Cv2.ImShow("img", mat); ok
//OpenCvSharp.Mat mat2 = mat;
//sift = SIFT.Create();
//System.Diagnostics.Stopwatch time = new System.Diagnostics.Stopwatch();
//time.Start ();
//卡卡
OpenCvSharp.KeyPoint[] kpCam = sift.Detect(mat);
//OpenCvSharp.KeyPoint[] kpCam = surf.Detect(mat);
//OpenCvSharp.KeyPoint[] kpCam = orb.Detect(mat);
//OpenCvSharp.KeyPoint[] kpCam = brief.Detect(mat);
//time.Stop();
//Debug.Log("執行 " + time.Elapsed.TotalSeconds + " 秒");
//myCam.Pause();
//rawImageRI.texture = tex;
//Cv2.ImShow("img", mat); ok
//Cv2.ImShow("img", mat2); ok
sift.Compute(imgCam, ref kpCam, desCam);
//surf.Compute(img2, ref kpCam, desCam);
//orb.Compute(img2, ref kpCam, desCam);
//brief.Compute(img2, ref kpCam, desCam);
//Cv2.ImShow("img", mat);
//Cv2.ImShow("img", mat2); 爆炸
OpenCvSharp.Mat desCammat = desCam.GetMat();
//Debug.Log("desCammat: "+desCammat);
//if (!M) 如果還沒計算出homography M {
//desFirstCatch = desCam;
//OutputArray descriptors_object = des1;
OpenCvSharp.Mat des1mat = des1.GetMat();
OpenCvSharp.Mat des2mat = des2.GetMat();
//OpenCvSharp.Mat des3mat = des3.GetMat();
//Debug.Log("des1mat: "+des1mat);
OpenCvSharp.DMatch[] dmatch1 = descriptorMatcher.Match(des1mat, desCammat);
OpenCvSharp.DMatch[] dmatch2 = descriptorMatcher.Match(des2mat, desCammat);
//OpenCvSharp.DMatch[] dmatch3 = descriptorMatcher.Match(des3mat, desCammat);
//Debug.Log("damtch1[0]: "+dmatch1[0].ToString());
//}
//else {
//OpenCvSharp.Mat desFirstCatchmat = desFirstCatch.GetMat();
// OpenCvSharp.DMatch[] dmatch = descriptorMatcher.Match(desFirstCatchmat, desCammat);
// OutputArray descriptors_object = desFirstCatch;
//}
double max_dist1 = 0;
double min_dist1 = 100;
double max_dist2 = 0;
double min_dist2 = 100;
//double max_dist3 = 0;
//double min_dist3 = 100;
//Cv2.ImShow("img", mat); 爆炸
//Quick calculation of max and min distances between keypoints
foreach (OpenCvSharp.DMatch d in dmatch1)
{
double dist = d.Distance;
if (dist < min_dist1)
{
min_dist1 = dist;
}
if (dist > max_dist1)
{
max_dist1 = dist;
}
}
foreach (OpenCvSharp.DMatch d in dmatch2)
{
double dist = d.Distance;
if (dist < min_dist2)
{
min_dist2 = dist;
}
if (dist > max_dist2)
{
max_dist2 = dist;
}
}
/*foreach (OpenCvSharp.DMatch d in dmatch3){
* double dist = d.Distance;
* if( dist < min_dist3 ) min_dist3 = dist;
* if( dist > max_dist3 ) max_dist3 = dist;
* }*/
//Draw only "good" matches (i.e. whose distance is less than 3*min_dist )
List <OpenCvSharp.DMatch> goodMatch1 = new List <OpenCvSharp.DMatch>();
foreach (OpenCvSharp.DMatch d in dmatch1)
{
if (d.Distance < 3 * min_dist1)
{
goodMatch1.Add(d);
}
}
List <OpenCvSharp.DMatch> goodMatch2 = new List <OpenCvSharp.DMatch>();
foreach (OpenCvSharp.DMatch d in dmatch2)
{
if (d.Distance < 3 * min_dist2)
{
goodMatch2.Add(d);
}
}
/*List<OpenCvSharp.DMatch> goodMatch3 = new List<OpenCvSharp.DMatch>();
* foreach (OpenCvSharp.DMatch d in dmatch3){
* if( d.Distance < 3*min_dist3 )
* goodMatch3.Add(d);
* }*/
List <OpenCvSharp.Point2f> srcPts1 = new List <OpenCvSharp.Point2f>();
List <OpenCvSharp.Point2f> dstPts1 = new List <OpenCvSharp.Point2f>();
foreach (OpenCvSharp.DMatch d in goodMatch1)
{
//-- Get the keypoints from the good matches
srcPts1.Add(kp1[d.QueryIdx].Pt);
dstPts1.Add(kpCam[d.TrainIdx].Pt);
//Debug.Log("kp1[d.QueryIdx].Pt: "+kp1[d.QueryIdx].Pt);
}
List <OpenCvSharp.Point2f> srcPts2 = new List <OpenCvSharp.Point2f>();
List <OpenCvSharp.Point2f> dstPts2 = new List <OpenCvSharp.Point2f>();
foreach (OpenCvSharp.DMatch d in goodMatch2)
{
//-- Get the keypoints from the good matches
srcPts2.Add(kp2[d.QueryIdx].Pt);
dstPts2.Add(kpCam[d.TrainIdx].Pt);
//Debug.Log("kp1[d.QueryIdx].Pt: "+kp1[d.QueryIdx].Pt);
}
/*List<OpenCvSharp.Point2f> srcPts3 = new List<OpenCvSharp.Point2f>();
* List<OpenCvSharp.Point2f> dstPts3 = new List<OpenCvSharp.Point2f>();
* foreach (OpenCvSharp.DMatch d in goodMatch3){
* //-- Get the keypoints from the good matches
* srcPts3.Add(kp3[d.QueryIdx].Pt);
* dstPts3.Add(kpCam[d.TrainIdx].Pt);
* //Debug.Log("kp1[d.QueryIdx].Pt: "+kp1[d.QueryIdx].Pt);
* }*/
//jump to next iteration if less than certain number of keypoints matched
if (srcPts1.Count < 200 && srcPts2.Count < 200)
{
yield break;
}
if (srcPts1.Count >= srcPts2.Count)
{
srcPts = new List <OpenCvSharp.Point2f>(srcPts1);
dstPts = new List <OpenCvSharp.Point2f>(dstPts1);
text1.enabled = true;
text2.enabled = false;
num1++;
//text3.enabled = false;
}
/*else if(srcPts2.Count >= srcPts1.Count && srcPts2.Count >= srcPts3.Count){
* srcPts = new List<OpenCvSharp.Point2f>(srcPts2);
* dstPts = new List<OpenCvSharp.Point2f>(dstPts2);
* text2.enabled = true;
* text1.enabled = false;
* text3.enabled = false;
* }*/
else
{
srcPts = new List <OpenCvSharp.Point2f>(srcPts2);
dstPts = new List <OpenCvSharp.Point2f>(dstPts2);
text2.enabled = true;
text1.enabled = false;
num2++;
//text2.enabled = false;
}
if (num1 > num2 + 10)
{
text1.enabled = true;
text2.enabled = false;
}
if (num2 > num1 + 10)
{
text2.enabled = true;
text1.enabled = false;
}
if (num1 > 60 || num2 > 60)
{
num1 = 0;
num2 = 0;
}
//OpenCvSharp.Mat mat2 = mat;
//Cv2.DrawKeypoints(mat, kpCam, mat2);
//Cv2.ImShow("img", mat); 亂碼圖
//Texture2D tex2 = new Texture2D(8, 8);
//tex2 = Unity.MatToTexture(mat);
//rawImageRI.texture = tex2;
//myCam.Pause();
//Cv2.ImShow("img", mat2); 亂碼圖
Texture2D emptyTex = new Texture2D(8, 8);
OpenCvSharp.Mat outputImg = Unity.TextureToMat(emptyTex);
//Debug.Log("outputImg: "+outputImg.ToString());
InputArray srcArr = InputArray.Create <OpenCvSharp.Point2f>(srcPts);
InputArray dstArr = InputArray.Create <OpenCvSharp.Point2f>(dstPts);
OutputArray mask = OutputArray.Create(outputImg);
OpenCvSharp.Mat M = Cv2.FindHomography(srcArr, dstArr, HomographyMethods.Ransac, 5, mask);
OpenCVForUnity.Mat transMat = new OpenCVForUnity.Mat(3, 3, CvType.CV_32FC1);
transMat.put(0, 0, M.Get <double>(0, 0), M.Get <double>(0, 1), M.Get <double>(0, 2),
M.Get <double>(1, 0), M.Get <double>(1, 1), M.Get <double>(1, 2),
M.Get <double>(2, 0), M.Get <double>(2, 1), M.Get <double>(2, 2));
//Debug.Log("transMat: "+transMat.dump());
//Debug.Log("mask: "+mask);
//OpenCvSharp.Mat maskMat = mask.GetMat();
//Debug.Log("maskMat: "+maskMat.ToString());
//maskMoB = new OpenCvSharp.MatOfByte(maskMat);
//-- Get the corners from the image_1 ( the object to be "detected" )
/*OpenCvSharp.Point2f[] obj_corners = new OpenCvSharp.Point2f[4];
* obj_corners[0] = new OpenCvSharp.Point2f(0, 0);
* obj_corners[1] = new OpenCvSharp.Point2f(inputTex.width, 0);
* obj_corners[2] = new OpenCvSharp.Point2f(inputTex.width, inputTex.height);
* obj_corners[3] = new OpenCvSharp.Point2f(0, inputTex.height);
*
* //OpenCvSharp.Point2f[] scene_corners = new OpenCvSharp.Point2f[4];
* //scene_corners = Cv2.PerspectiveTransform(obj_corners, M);
*
* //if (!M) 如果還沒計算出homography M {
* //Cv2.DrawMatches(inputImg, kp1, mat, kpCam, goodMatch, outputImg, OpenCvSharp.Scalar.All(-1),
* //OpenCvSharp.Scalar.All(-1), maskMoB.ToArray(), DrawMatchesFlags.NotDrawSinglePoints);
* //else {
*
* //Texture2D outputTex = Unity.MatToTexture(outputImg);
* //rawImageRI.texture = outputTex;
*
* //-- Draw lines between the corners (the mapped object in the scene - image_2 )
* //Cv2.Line(outputImg, scene_corners[0] + obj_corners[1], scene_corners[1] + obj_corners[1], OpenCvSharp.Scalar.LightBlue, 4);
* //Cv2.Line(outputImg, scene_corners[1] + obj_corners[1], scene_corners[2] + obj_corners[1], OpenCvSharp.Scalar.LightBlue, 4);
* //Cv2.Line(outputImg, scene_corners[2] + obj_corners[1], scene_corners[3] + obj_corners[1], OpenCvSharp.Scalar.LightBlue, 4);
* //Cv2.Line(outputImg, scene_corners[3] + obj_corners[1], scene_corners[0] + obj_corners[1], OpenCvSharp.Scalar.LightBlue, 4);
*
* //OpenCvSharp.Mat outimg = Unity.TextureToMat(emptyTex);
* //inputImg = Unity.TextureToMat(emptyTex);
* //Cv2.DrawKeypoints(mat, kpCam, outimg, OpenCvSharp.Scalar.LightBlue);
*
* //show image with text after homography
* /*string imgPath2 = "../signboard-rectangle/test-IMG_0204-text.PNG";
* textTex = new Texture2D(2,2);
* byte [] binaryImageData2 = File.ReadAllBytes(imgPath2);
* textTex.LoadImage(binaryImageData2);
* rawImageRI.texture = textTex;*/
/*OpenCVForUnity.Mat inputTextImg = new OpenCVForUnity.Mat(new OpenCVForUnity.Size(textTex.width, textTex.height), CvType.CV_8UC4);
* Utils.texture2DToMat(textTex, inputTextImg);
* OpenCVForUnity.Mat outputTextImg = new OpenCVForUnity.Mat(new OpenCVForUnity.Size(textTex.width, textTex.height), CvType.CV_8UC4);
*
* Imgproc.warpPerspective(inputTextImg, outputTextImg, transMat, new OpenCVForUnity.Size(textTex.width, textTex.height));
*
* Texture2D outputTex = new Texture2D((int)textTex.width, (int)textTex.height, TextureFormat.RGB24, false);
* Utils.matToTexture2D(outputTextImg, outputTex);*/
//TextureScale.Bilinear(outputTex, outputTex.width/5, outputTex.height/5);
//rawImageRI.texture = outputTex;
//text.enabled = true;
/*Vector3 scale;
* scale.x = new Vector4((float)M.Get<double>(0,0), (float)M.Get<double>(1,0), (float)M.Get<double>(2,0), 0).magnitude;
* scale.y = new Vector4((float)M.Get<double>(0,1), (float)M.Get<double>(1,1), (float)M.Get<double>(2,1), 0).magnitude;
* scale.z = new Vector4((float)M.Get<double>(0,2), (float)M.Get<double>(1,2), (float)M.Get<double>(2,2), 0).magnitude;
*
* Vector3 forward;
* forward.x = (float)M.Get<double>(0,2);
* forward.y = (float)M.Get<double>(1,2);
* forward.z = (float)M.Get<double>(2,2);
*
* Vector3 upwards;
* upwards.x = (float)M.Get<double>(0,1);
* upwards.y = (float)M.Get<double>(1,1);
* upwards.z = (float)M.Get<double>(2,1);
*
* //textRT.localScale = scale;
* //textRT.rotation = Quaternion.LookRotation(forward, upwards);*/
Matrix4x4 matrix = new Matrix4x4();
/*matrix.SetRow(0, new Vector4((float)M.Get<double>(0,0), (float)M.Get<double>(0,1), (float)M.Get<double>(0,2),0));
* matrix.SetRow(1, new Vector4((float)M.Get<double>(1,0), (float)M.Get<double>(1,1), (float)M.Get<double>(1,2),0));
* matrix.SetRow(2, new Vector4(0,0,1,0));
* matrix.SetRow(3, new Vector4(0,0,0,1));*/
//inverse效果還行
matrix.SetRow(0, new Vector4((float)M.Get <double>(0, 0), (float)M.Get <double>(0, 1), 0, (float)M.Get <double>(0, 2)));
matrix.SetRow(1, new Vector4((float)M.Get <double>(1, 0), (float)M.Get <double>(1, 1), 0, (float)M.Get <double>(1, 2)));
matrix.SetRow(2, new Vector4(0, 0, 1, 0));
matrix.SetRow(3, new Vector4(0, 0, 0, 1));
Matrix4x4 inverse = matrix.inverse;
//textRT.localScale = matrix.lossyScale;
//textRT.rotation = matrix.rotation; //rotation跟eulerangles效果一樣
textRT1.rotation = inverse.rotation;
textRT2.rotation = inverse.rotation;
//textRT3.rotation = inverse.rotation;
Destroy(emptyTex);
//calculate euler angle
/*double angleX = Math.Asin(-M.Get<double>(2,1));
* double angleY = Math.Atan2(M.Get<double>(2,0), M.Get<double>(2,2));
* double angleZ = Math.Atan2(M.Get<double>(0,1), M.Get<double>(1,1));
* //textRT.eulerAngles = new Vector3((float)angleX, (float)angleY, (float)angleZ);
* //Debug.Log("textRT.eulerAngles: "+textRT.eulerAngles.ToString());
*
* //calculate quaternion
* double w = Math.Sqrt(1 + M.Get<double>(0,0) + M.Get<double>(1,1) + M.Get<double>(2,2))/2;
* double w4 = w*4;
* double qx = (M.Get<double>(2,1) - M.Get<double>(1,2))/w4 ;
* double qy = (M.Get<double>(0,2) - M.Get<double>(2,0))/w4 ;
* double qz = (M.Get<double>(1,0) - M.Get<double>(0,1))/w4 ;
* //textRT.rotation = new Quaternion((float)qx, (float)qy, (float)qz, 1);
*
* double tr = M.Get<double>(0,0) + M.Get<double>(1,1) + M.Get<double>(2,2);
* Debug.Log("tr: "+tr);*/
//Cv2.ImShow("img", mat);
//myCam.Pause();
}
private OpenCVForUnity.Rect BgSub()
{
backgroundSubstractorMOG2.apply(rgbMat, fgmaskMat);
roiRect = null;
fgmaskMatRoi = fgmaskMat;
Mat kernelD = new Mat(40, 40, CvType.CV_8UC1, new Scalar(255, 255, 255));
Mat kernelE = new Mat(20, 20, CvType.CV_8UC1, new Scalar(255, 255, 255));
Mat kernelDRoi = new Mat(1, 1, CvType.CV_8UC1, new Scalar(255, 255, 255));
Mat kernelERoi = new Mat(1, 1, CvType.CV_8UC1, new Scalar(255, 255, 255));
Imgproc.dilate(fgmaskMat, fgmaskMatDilate, kernelD);
Imgproc.erode(fgmaskMatDilate, fgmaskMatDilate, kernelE);
Imgproc.dilate(fgmaskMatRoi, fgmaskMatDilateRoi, kernelDRoi);
Imgproc.erode(fgmaskMatDilateRoi, fgmaskMatDilateRoi, kernelERoi);
mask_binary = new OpenCVForUnity.Mat();
mask_binaryRoi = new OpenCVForUnity.Mat();
Imgproc.threshold(fgmaskMatDilate, mask_binary, 123, 255, Imgproc.THRESH_BINARY);
Imgproc.threshold(fgmaskMatDilateRoi, mask_binaryRoi, 123, 255, Imgproc.THRESH_BINARY);
List <MatOfPoint> contours = new List <MatOfPoint>();
OpenCVForUnity.Mat hierarchy = new OpenCVForUnity.Mat();
Imgproc.findContours(mask_binary, contours, hierarchy, Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_NONE);
if (contours.Count == 0)
{
return(null);
}
else
{
int i = 0;
color1 = new Color(0.8f, 0.8f, 0.95f, 0.25f);
color2 = new Color(0.8f, 0.8f, 0.95f);
foreach (MatOfPoint contour in contours)
{
//Debug.Log("number of target: " + i);
MatOfPoint new_mat1 = new MatOfPoint(contour.toArray());
output = Imgproc.boundingRect(new_mat1);
rgbMat.copyTo(dest, mask_binaryRoi);
//SaveMatToFile("mask_binary" + ss, mask_binary);
//SaveMatToFile("mask_binaryRoi" + ss, mask_binaryRoi);
Imgproc.rectangle(rgbMat, output.tl(), output.br(), new Scalar(255, 0, 0), 2);
output_ar.Add(output);
Vector3 top_left_pos = new Vector3(output.x, Screen.height - output.y);
Vector3 bottom_right_pos = new Vector3(output.x + output.width, Screen.height - (output.y + output.height));
UnityEngine.Rect check_pos = GetScreenRect(top_left_pos, bottom_right_pos);
i++;
if (Input.GetMouseButton(0) && check_pos.Contains(new Vector2(Input.mousePosition.x, Screen.height - Input.mousePosition.y)))
{
Debug.Log("take it!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!");
//skipFrame = 50;
//shouldStartCamShift = true;
Debug.Log(output);
return(output);
}
/*else
* {
* MatOfPoint new_mat2 = new MatOfPoint(contours[0].toArray()); //prende il blob più grande, è il primo perchè la funzione findcontours mette in ordine dal più grande al più piccolo.
* output = Imgproc.boundingRect(new_mat2);
* }*/
}
//OnGUI();
return(null);
}
}
