void draw(SpellBook book, Mat frame)
{
if (book.isTrackedm == true)
{
Imgproc.circle(frame, new Point(book.xm, book.ym), 20, new Scalar(255, 255, 0));
Imgproc.putText(frame, book.xm + ", " + book.ym, new Point(book.xm - 500, book.ym + 20), 5, 5, new Scalar(255, 255, 0), 2);
Imgproc.putText(frame, book.color, new Point(book.xm, book.ym - 20), 5, 5, new Scalar(255, 255, 0), 2);
Debug.Log("drawing" + book.color + ": " + book.xm.ToString() + ", " + book.ym.ToString());
}
else
{
Debug.Log(book.color + ": not found");
}
}
protected virtual void drawPredPoints(Point[] points, Mat frame)
{
for (int i = 0; i < points.Length; i++)
{
if (i < pointsColors.Length)
{
Imgproc.circle(frame, points[i], 2, pointsColors[i], 2);
}
else
{
Imgproc.circle(frame, points[i], 2, pointsColors[pointsColors.Length - 1], 2);
}
}
}
// Update is called once per frame
void Update()
{
//Loop play
if (capture.get(Videoio.CAP_PROP_POS_FRAMES) >= capture.get(Videoio.CAP_PROP_FRAME_COUNT))
{
capture.set(Videoio.CAP_PROP_POS_FRAMES, 0);
}
//error PlayerLoop called recursively! on iOS.reccomend WebCamTexture.
if (capture.grab())
{
capture.retrieve(rgbMat, 0);
Imgproc.cvtColor(rgbMat, rgbMat, Imgproc.COLOR_BGR2RGB);
selectPoint(rgbMat);
if (selectedPointList.Count < 2)
{
foreach (var point in selectedPointList)
{
Imgproc.circle(rgbMat, point, 6, new Scalar(0, 0, 255), 2);
}
}
else
{
trackers.add(TrackerKCF.create(), rgbMat, new Rect2d(selectedPointList [0].x, selectedPointList [0].y, Math.Abs(selectedPointList [1].x - selectedPointList [0].x), Math.Abs(selectedPointList [1].y - selectedPointList [0].y)));
selectedPointList.Clear();
trackingColorList.Add(new Scalar(UnityEngine.Random.Range(0, 255), UnityEngine.Random.Range(0, 255), UnityEngine.Random.Range(0, 255)));
}
bool updated = trackers.update(rgbMat, objects);
Debug.Log("updated " + updated);
// if (!updated && objects.rows () > 0) {
// OnResetTrackerButtonClick ();
// }
Rect2d[] objectsArray = objects.toArray();
for (int i = 0; i < objectsArray.Length; i++)
{
Imgproc.rectangle(rgbMat, objectsArray [i].tl(), objectsArray [i].br(), trackingColorList [i], 2, 1, 0);
}
Imgproc.putText(rgbMat, "Please touch the screen, and select tracking regions.", new Point(5, rgbMat.rows() - 10), Core.FONT_HERSHEY_SIMPLEX, 0.8, new Scalar(255, 255, 255, 255), 2, Imgproc.LINE_AA, false);
//Debug.Log ("Mat toString " + rgbMat.ToString ());
Utils.matToTexture2D(rgbMat, texture, colors);
}
}
public Mat create_form(Mat latteMat)
{
int numOfForm = 800;
int maxRadius = 3;
Scalar color = new Scalar(0, 30, 84);
for (int i = 0; i < numOfForm; i++)
{
int xRandom = (int)(UnityEngine.Random.value * latteMat.cols());
int yRandom = (int)(UnityEngine.Random.value * latteMat.rows());
int radiusRandom = (int)(UnityEngine.Random.value * maxRadius);
Imgproc.circle(latteMat, new Point(xRandom, yRandom), radiusRandom, color, -1);
}
return(latteMat);
}
// Update is called once per frame
void Update()
{
if (webCamTextureToMatHelper.IsPlaying() && webCamTextureToMatHelper.DidUpdateThisFrame())
{
Mat rgbaMat = webCamTextureToMatHelper.GetMat();
Imgproc.cvtColor(rgbaMat, grayMat, Imgproc.COLOR_RGB2HSV);
Scalar lower_red = new Scalar(145, 42, 154);
Scalar lower_blue = new Scalar(90, 50, 50);
Scalar upper_red = new Scalar(255, 255, 255);
Scalar upper_blue = new Scalar(130, 255, 255);
Core.inRange(grayMat, lower_red, upper_red, redframe_threshold);
Core.inRange(grayMat, lower_blue, upper_blue, blueframe_threshold);
Core.bitwise_or(redframe_threshold, blueframe_threshold, frame_threshold);
Size size = new Size(5, 5);
Imgproc.erode(frame_threshold, frame_threshold, Imgproc.getStructuringElement(Imgproc.MORPH_ELLIPSE, size));
Imgproc.dilate(frame_threshold, frame_threshold, Imgproc.getStructuringElement(Imgproc.MORPH_ELLIPSE, size));
Imgproc.erode(frame_threshold, frame_threshold, Imgproc.getStructuringElement(Imgproc.MORPH_ELLIPSE, size));
Imgproc.dilate(frame_threshold, frame_threshold, Imgproc.getStructuringElement(Imgproc.MORPH_ELLIPSE, size));
Imgproc.erode(frame_threshold, frame_threshold, Imgproc.getStructuringElement(Imgproc.MORPH_ELLIPSE, size));
Imgproc.dilate(frame_threshold, frame_threshold, Imgproc.getStructuringElement(Imgproc.MORPH_ELLIPSE, size));
using (Mat circles = new Mat()) {
Imgproc.HoughCircles(frame_threshold, circles, Imgproc.CV_HOUGH_GRADIENT, 1, frame_threshold.rows() / 2, 20, 15, 15, 100);
Point pt = new Point();
for (int i = 0; i < circles.cols(); i++)
{
double[] data = circles.get(0, i);
pt.x = data [0];
pt.y = data [1];
double rho = data [2];
// Imgproc.circle (rgbaMat, pt, 3, new Scalar (255, 0, 255), 5);
Imgproc.circle(rgbaMat, pt, (int)rho, new Scalar(255, 0, 0, 255), 5);
}
}
Imgproc.putText(rgbaMat, "W:" + rgbaMat.width() + " H:" + rgbaMat.height() + " SO:" + Screen.orientation, new Point(5, rgbaMat.rows() - 10), Core.FONT_HERSHEY_SIMPLEX, 1.0, new Scalar(255, 255, 255, 255), 2, Imgproc.LINE_AA, false);
Utils.matToTexture2D(rgbaMat, texture, webCamTextureToMatHelper.GetBufferColors());
}
}
private void DrawVoronoiDiagram(List <GraphEdge> edges)
{
Imgproc.rectangle(VoronoiDiagram, new Point(0, 0), new Point(width - 1, height - 1), new Scalar(255, 255, 255), -1);
// 畫點
for (int i = 0; i < BestPs.Count; i++)
{
Point p = Vector3ToPoint(BestPs[i]);
Imgproc.circle(VoronoiDiagram, p, 5, new Scalar(0, 0, 0), -1);
}
// 畫線
for (int i = 0; i < edges.Count; i++)
{
Point p1 = new Point(edges[i].x1, edges[i].y1);
Point p2 = new Point(edges[i].x2, edges[i].y2);
Imgproc.line(VoronoiDiagram, p1, p2, new Scalar(0, 0, 0), 3);
}
}
// Update is called once per frame
void Update()
{
//Loop play
if (capture.get(Videoio.CAP_PROP_POS_FRAMES) >= capture.get(Videoio.CAP_PROP_FRAME_COUNT))
{
capture.set(Videoio.CAP_PROP_POS_FRAMES, 0);
}
//error PlayerLoop called recursively! on iOS.reccomend WebCamTexture.
if (capture.grab())
{
capture.retrieve(rgbMat, 0);
Imgproc.cvtColor(rgbMat, rgbMat, Imgproc.COLOR_BGR2RGB);
selectPoint(rgbMat);
if (selectedPointList.Count < 2)
{
foreach (var point in selectedPointList)
{
Imgproc.circle(rgbMat, point, 6, new Scalar(0, 0, 255), 2);
}
}
else
{
trackers.add(rgbMat, new Rect2d(selectedPointList [0].x, selectedPointList [0].y, Math.Abs(selectedPointList [1].x - selectedPointList [0].x), Math.Abs(selectedPointList [1].y - selectedPointList [0].y)));
selectedPointList.Clear();
trackingColorList.Add(new Scalar(UnityEngine.Random.Range(0, 255), UnityEngine.Random.Range(0, 255), UnityEngine.Random.Range(0, 255)));
}
trackers.update(rgbMat, objects);
Rect2d[] objectsArray = objects.toArray();
for (int i = 0; i < objectsArray.Length; i++)
{
Imgproc.rectangle(rgbMat, objectsArray [i].tl(), objectsArray [i].br(), trackingColorList [i], 2, 1, 0);
}
//Debug.Log ("Mat toString " + rgbMat.ToString ());
Utils.matToTexture2D(rgbMat, texture, colors);
}
}
public void RenderTracerToScreen(Point tracerPoint1, Point tracerPoint2, Scalar tracerHue, Scalar tracerNew)
{
Point ScaledPoint = new Point(tracerPoint1.x * 4, tracerPoint1.y * 4);
Point ScaledPoint2 = new Point(tracerPoint2.x * 4, tracerPoint2.y * 4);
if (bSwitchAngleSpeed == true)
{
//show dots
Imgproc.circle(MatDisplayx2, ScaledPoint, 3, tracerHue, 1); //SHOW EITHER FOR ANGLE OR SPEED
//show lines
Imgproc.line(MatDisplayx2, ScaledPoint, ScaledPoint2, tracerHue); //SHOW EITHER FOR ANGLE OR SPEED
}
else
{
Imgproc.circle(MatDisplayx2, ScaledPoint, 3, tracerNew, 1);
Imgproc.line(MatDisplayx2, ScaledPoint, ScaledPoint2, tracerNew);
}
}
private void drawObject(List <TangramObject> theColorObjects, Mat frame, Mat temp, List <MatOfPoint> contours, Mat hierarchy)
{
for (int i = 0; i < theColorObjects.Count; i++)
{
var colorHSV = theColorObjects[i].getColor();
Mat rgb = new Mat();
Mat hsv = new Mat(1, 1, CvType.CV_8UC3, colorHSV);
Imgproc.cvtColor(hsv, rgb, Imgproc.COLOR_HSV2RGB);
var colorRGB = rgb.get(0, 0);
Scalar c = new Scalar(colorRGB[0], colorRGB[1], colorRGB[2]);
Imgproc.drawContours(frame, contours, i, c, 3, 8, hierarchy, int.MaxValue, new Point());
Imgproc.circle(frame, new Point(theColorObjects[i].getXPos(), theColorObjects[i].getYPos()), 5, c);
Imgproc.putText(frame, theColorObjects[i].getXPos() + " , " + theColorObjects[i].getYPos()
, new Point(theColorObjects[i].getXPos(), theColorObjects[i].getYPos() + 20), 1, 1, c, 2);
Imgproc.putText(frame, theColorObjects[i].getType(),
new Point(theColorObjects[i].getXPos(), theColorObjects[i].getYPos() - 20), 1, 2, c, 2);
}
}
float GetDistanceToWall(Point pt_start, Point pt_end)
{
float distance = 0;
int check_x = 0;
int check_y = 0;
for (int i = (int)pt_start.y; i >= (int)pt_end.y; i--)
{
check_x = (int)Math.Round(pt_start.x + ((pt_end.x - pt_start.x) / (pt_start.y - pt_end.y) * (pt_start.y - i)), 1);
check_y = i;
double[] buff = cameraMat.get(check_y, check_x);
if (buff[0] != 0)
{
break;
}
distance++;
}
Imgproc.circle(cameraMat, new Point(check_x, check_y), 2, new Scalar(100), 1);
//Debug.Log((check_x, check_y, distance));
return(distance);
}
void Start()
{
srcMat = Imgcodecs.imread(Application.dataPath + "/Textures/feature.jpg", 1);
grayMat = new Mat();
Imgproc.cvtColor(srcMat, grayMat, Imgproc.COLOR_RGBA2GRAY);
//会把五边形识别成圆。模糊处理，提高精确度。
Imgproc.GaussianBlur(grayMat, grayMat, new Size(7, 7), 2, 2);
Mat circles = new Mat();
//霍夫圆
Imgproc.HoughCircles(grayMat, circles, Imgproc.CV_HOUGH_GRADIENT, 2, 10, 160, 50, 10, 40);
//Debug.Log(circles);
//圆心坐标
Point pt = new Point();
for (int i = 0; i < circles.cols(); i++)
{
double[] data = circles.get(0, i);
pt.x = data[0];
pt.y = data[1];
double rho = data[2];
//绘制圆心
Imgproc.circle(srcMat, pt, 3, new Scalar(255, 255, 0), -1, 8, 0);
//绘制圆轮廓
Imgproc.circle(srcMat, pt, (int)rho, new Scalar(255, 0, 0, 255), 5);
}
//在Mat上写字
Imgproc.putText(srcMat, "W:" + srcMat.width() + " H:" + srcMat.height(), new Point(5, srcMat.rows() - 10), Core.FONT_HERSHEY_SIMPLEX, 1.0, new Scalar(255, 255, 255, 255), 2, Imgproc.LINE_AA, false);
Texture2D t2d = new Texture2D(srcMat.width(), srcMat.height());
Sprite sp = Sprite.Create(t2d, new UnityEngine.Rect(0, 0, t2d.width, t2d.height), Vector2.zero);
m_showImage.sprite = sp;
m_showImage.preserveAspect = true;
Utils.matToTexture2D(srcMat, t2d);
}
// Start is called before the first frame update
void Start()
{
Texture2D sourceTexture = Resources.Load("maker") as Texture2D;
Mat inputMat = new Mat(sourceTexture.height, sourceTexture.width, CvType.CV_8UC4);
Utils.texture2DToMat(sourceTexture, inputMat);
UnityEngine.Debug.Log("inputMat.ToString() " + inputMat.ToString());
Mat src_mat = new Mat(4, 1, CvType.CV_32FC2);
Mat dst_mat = new Mat(4, 1, CvType.CV_32FC2);
Mat outputMat = inputMat.clone();
src_mat.put(0, 0, 0.0, 0.0, sourceTexture.width, 0.0, 0.0, sourceTexture.height, sourceTexture.width, sourceTexture.height);
dst_mat.put(0, 0, 0.0, 0.0, sourceTexture.width, 100.0, 0.0, sourceTexture.height, sourceTexture.width, sourceTexture.height);
Mat perspectiveTransform = Imgproc.getPerspectiveTransform(src_mat, dst_mat);
Imgproc.warpPerspective(inputMat, outputMat, perspectiveTransform, new Size(sourceTexture.width, sourceTexture.height));
Texture2D outputTexture = new Texture2D(outputMat.cols(), outputMat.rows(), TextureFormat.RGBA32, false);
Texture2D inputTexture = new Texture2D(inputMat.cols(), inputMat.rows(), TextureFormat.RGBA32, false);
#region CIRCLE POINT
Imgproc.circle(inputMat, new Point(0, 0), 4, new Scalar(255, 0, 0), 8);
Imgproc.circle(inputMat, new Point(sourceTexture.width, 0), 4, new Scalar(255, 0, 0), 8);
Imgproc.circle(inputMat, new Point(0, sourceTexture.height), 4, new Scalar(255, 0, 0), 8);
Imgproc.circle(inputMat, new Point(sourceTexture.width, sourceTexture.height), 4, new Scalar(255, 0, 0), 8);
Imgproc.circle(outputMat, new Point(0, 0), 4, new Scalar(0, 0, 255), 8);
Imgproc.circle(outputMat, new Point(sourceTexture.width, 100), 4, new Scalar(0, 0, 255), 8);
Imgproc.circle(outputMat, new Point(0, sourceTexture.height), 4, new Scalar(0, 0, 255), 8);
Imgproc.circle(outputMat, new Point(sourceTexture.width, sourceTexture.height), 4, new Scalar(0, 0, 255), 8);
#endregion
Utils.matToTexture2D(outputMat, outputTexture);
Utils.matToTexture2D(inputMat, inputTexture);
perQuad.GetComponent <Renderer>().material.mainTexture = outputTexture;
oriQuad.GetComponent <Renderer>().material.mainTexture = inputTexture;
}
private void drawAxis(Mat img, Point start_pt, Point vec, Scalar color, double length)
{
int CV_AA = 16;
Point end_pt = new Point(start_pt.x + length * vec.x, start_pt.y + length * vec.y);
Imgproc.circle(img, start_pt, 5, color, 1);
Imgproc.line(img, start_pt, end_pt, color, 1, CV_AA, 0);
double angle = System.Math.Atan2(vec.y, vec.x);
double qx0 = end_pt.x - 9 * System.Math.Cos(angle + System.Math.PI / 4);
double qy0 = end_pt.y - 9 * System.Math.Sin(angle + System.Math.PI / 4);
Imgproc.line(img, end_pt, new Point(qx0, qy0), color, 1, CV_AA, 0);
double qx1 = end_pt.x - 9 * System.Math.Cos(angle - System.Math.PI / 4);
double qy1 = end_pt.y - 9 * System.Math.Sin(angle - System.Math.PI / 4);
Imgproc.line(img, end_pt, new Point(qx1, qy1), color, 1, CV_AA, 0);
}
private void drawDebugFacePoints()
{
int index = faceChangeData.Count;
foreach (FaceChangeData data in faceChangeData)
{
getFacePoints(data.target_landmark_points, target_points, target_affine_transform_keypoints);
for (int i = 0; i < target_points.Length; i++)
{
Imgproc.circle(target_frame_full, target_points[i], 1, new Scalar(255, 0, 0, 255), 2, Core.LINE_AA, 0);
}
for (int i = 0; i < target_affine_transform_keypoints.Length; i++)
{
Imgproc.circle(target_frame_full, target_affine_transform_keypoints[i], 1, new Scalar(0, 255, 0, 255), 2, Core.LINE_AA, 0);
}
getFacePoints(data.source_landmark_points, source_points, source_affine_transform_keypoints);
for (int i = 0; i < source_points.Length; i++)
{
Imgproc.circle(data.source_frame, source_points[i], 1, new Scalar(255, 0, 0, 255), 2, Core.LINE_AA, 0);
}
for (int i = 0; i < source_affine_transform_keypoints.Length; i++)
{
Imgproc.circle(data.source_frame, source_affine_transform_keypoints[i], 1, new Scalar(0, 255, 0, 255), 2, Core.LINE_AA, 0);
}
//
target_rect = Imgproc.boundingRect(new MatOfPoint(target_points));
source_rect = Imgproc.boundingRect(new MatOfPoint(source_points));
Scalar color = new Scalar(127, 127, (int)(255 / faceChangeData.Count) * index, 255);
Imgproc.rectangle(target_frame_full, this.target_rect.tl(), this.target_rect.br(), color, 1, Imgproc.LINE_8, 0);
Imgproc.rectangle(data.source_frame, this.source_rect.tl(), this.source_rect.br(), color, 1, Imgproc.LINE_8, 0);
//
index--;
}
}
// Use this for initialization
// Update is called once per frame
public void UpdateScreen(Mat mat)
{
using (MatOfKeyPoint keypoints = new MatOfKeyPoint())
using (Mat descriptors = new Mat())
{
detector.detect(mat, keypoints);
//extractor.compute(mat, keypoints, descriptors);
var Points = keypoints.toArray();
foreach (KeyPoint kp in Points)
{
int a = (int)kp.pt.x / mat.width() * 250;
int b = (int)kp.pt.y / mat.height() * 250;
Scalar color = new Scalar(255, b, a, 100);
switch (Random.Range(0, 3))
{
case 0:
color = new Scalar(255, a, b, 100);
break;
case 1:
color = new Scalar(a, 255, b, 100);
break;
case 2:
color = new Scalar(a, b, 255, 100);
break;
}
Imgproc.circle(mat, kp.pt, 4, color, -1);
}
text = string.Format("PointFeature Count : {0}.", Points.Length);
DestroyImmediate(tex);
tex = new Texture2D(ARCameraManager.Instance.Width, ARCameraManager.Instance.Height);
OpenCVForUnity.Utils.matToTexture2D(mat, tex);
ARCameraManager.Instance.UpdateScreenTexture(tex);
}
}
private void drawDebugFacePoints()
{
for (int i = 0; i < points_ann.Length; i++)
{
Imgproc.circle(small_frame, points_ann[i], 1, new Scalar(255, 0, 0, 255), 2, Imgproc.LINE_AA, 0);
}
for (int i = 0; i < affine_transform_keypoints_ann.Length; i++)
{
Imgproc.circle(small_frame, affine_transform_keypoints_ann[i], 1, new Scalar(0, 255, 0, 255), 2, Imgproc.LINE_AA, 0);
}
for (int i = 0; i < points_bob.Length; i++)
{
Imgproc.circle(small_frame, points_bob[i], 1, new Scalar(255, 0, 0, 255), 2, Imgproc.LINE_AA, 0);
}
for (int i = 0; i < affine_transform_keypoints_bob.Length; i++)
{
Imgproc.circle(small_frame, affine_transform_keypoints_bob[i], 1, new Scalar(0, 255, 0, 255), 2, Imgproc.LINE_AA, 0);
}
//
Imgproc.rectangle(small_frame, new Point(1, 1), new Point(small_frame_size.width - 2, small_frame_size.height - 2), new Scalar(255, 0, 0, 255), 2, Imgproc.LINE_8, 0);
Imgproc.rectangle(small_frame, this.rect_ann.tl(), this.rect_ann.br(), new Scalar(255, 0, 0, 255), 1, Imgproc.LINE_8, 0);
Imgproc.rectangle(small_frame, this.rect_bob.tl(), this.rect_bob.br(), new Scalar(255, 0, 0, 255), 1, Imgproc.LINE_8, 0);
//
}
private void DrawFaceLandmark(Mat imgMat, List <Point> points, Scalar color, int thickness, bool drawIndexNumbers = false)
{
if (points.Count == 5)
{
Imgproc.line(imgMat, points [0], points [1], color, thickness);
Imgproc.line(imgMat, points [1], points [4], color, thickness);
Imgproc.line(imgMat, points [4], points [3], color, thickness);
Imgproc.line(imgMat, points [3], points [2], color, thickness);
}
else if (points.Count == 68)
{
for (int i = 1; i <= 16; ++i)
{
Imgproc.line(imgMat, points [i], points [i - 1], color, thickness);
}
for (int i = 28; i <= 30; ++i)
{
Imgproc.line(imgMat, points [i], points [i - 1], color, thickness);
}
for (int i = 18; i <= 21; ++i)
{
Imgproc.line(imgMat, points [i], points [i - 1], color, thickness);
}
for (int i = 23; i <= 26; ++i)
{
Imgproc.line(imgMat, points [i], points [i - 1], color, thickness);
}
for (int i = 31; i <= 35; ++i)
{
Imgproc.line(imgMat, points [i], points [i - 1], color, thickness);
}
Imgproc.line(imgMat, points [30], points [35], color, thickness);
for (int i = 37; i <= 41; ++i)
{
Imgproc.line(imgMat, points [i], points [i - 1], color, thickness);
}
Imgproc.line(imgMat, points [36], points [41], color, thickness);
for (int i = 43; i <= 47; ++i)
{
Imgproc.line(imgMat, points [i], points [i - 1], color, thickness);
}
Imgproc.line(imgMat, points [42], points [47], color, thickness);
for (int i = 49; i <= 59; ++i)
{
Imgproc.line(imgMat, points [i], points [i - 1], color, thickness);
}
Imgproc.line(imgMat, points [48], points [59], color, thickness);
for (int i = 61; i <= 67; ++i)
{
Imgproc.line(imgMat, points [i], points [i - 1], color, thickness);
}
Imgproc.line(imgMat, points [60], points [67], color, thickness);
}
else
{
for (int i = 0; i < points.Count; i++)
{
Imgproc.circle(imgMat, points [i], 2, color, -1);
}
}
// Draw the index number of facelandmark points.
if (drawIndexNumbers)
{
for (int i = 0; i < points.Count; ++i)
{
Imgproc.putText(imgMat, i.ToString(), points [i], Imgproc.FONT_HERSHEY_SIMPLEX, 0.5, new Scalar(255, 255, 255, 255), 1, Imgproc.LINE_AA, false);
}
}
}
/// <summary>
/// Processes points by filter.
/// </summary>
/// <param name="img">Image mat.</param>
/// <param name="srcPoints">Input points.</param>
/// <param name="dstPoints">Output points.</param>
/// <param name="drawDebugPoints">if true, draws debug points.</param>
/// <returns>Output points.</returns>
public override List <Vector2> Process(Mat img, List <Vector2> srcPoints, List <Vector2> dstPoints = null, bool drawDebugPoints = false)
{
if (srcPoints != null && srcPoints.Count != numberOfElements)
{
throw new ArgumentException("The number of elements is different.");
}
if (srcPoints == null)
{
return(dstPoints == null ? srcPoints : dstPoints);
}
if (!flag)
{
if (img.channels() == 4)
{
Imgproc.cvtColor(img, prevgray, Imgproc.COLOR_RGBA2GRAY);
}
else if (img.channels() == 3)
{
Imgproc.cvtColor(img, prevgray, Imgproc.COLOR_RGB2GRAY);
}
else
{
if (prevgray.total() == 0)
{
prevgray = img.clone();
}
else
{
img.copyTo(prevgray);
}
}
for (int i = 0; i < numberOfElements; i++)
{
prevTrackPts[i] = new Point(srcPoints[i].x, srcPoints[i].y);
}
flag = true;
}
if (srcPoints != null)
{
if (dstPoints == null)
{
dstPoints = new List <Vector2>();
}
if (dstPoints != null && dstPoints.Count != numberOfElements)
{
dstPoints.Clear();
for (int i = 0; i < numberOfElements; i++)
{
dstPoints.Add(new Vector2());
}
}
if (img.channels() == 4)
{
Imgproc.cvtColor(img, gray, Imgproc.COLOR_RGBA2GRAY);
}
else if (img.channels() == 3)
{
Imgproc.cvtColor(img, gray, Imgproc.COLOR_RGB2GRAY);
}
else
{
if (gray.total() == 0)
{
gray = img.clone();
}
else
{
img.copyTo(gray);
}
}
if (prevgray.total() > 0)
{
mOP2fPrevTrackPts.fromList(prevTrackPts);
mOP2fNextTrackPts.fromList(nextTrackPts);
Video.calcOpticalFlowPyrLK(prevgray, gray, mOP2fPrevTrackPts, mOP2fNextTrackPts, status, err);
prevTrackPts = mOP2fPrevTrackPts.toList();
nextTrackPts = mOP2fNextTrackPts.toList();
// clac diffDlib
prevTrackPtsMat.fromList(prevTrackPts);
OpenCVForUnity.CoreModule.Rect rect = Imgproc.boundingRect(prevTrackPtsMat);
double diffDlib = this.diffDlib * rect.area() / 40000.0 * diffCheckSensitivity;
// if the face is moving so fast, use dlib to detect the face
double diff = calDistanceDiff(prevTrackPts, nextTrackPts);
if (drawDebugPoints)
{
Debug.Log("variance:" + diff);
}
if (diff > diffDlib)
{
for (int i = 0; i < numberOfElements; i++)
{
nextTrackPts[i].x = srcPoints[i].x;
nextTrackPts[i].y = srcPoints[i].y;
dstPoints[i] = srcPoints[i];
}
if (drawDebugPoints)
{
Debug.Log("DLIB");
for (int i = 0; i < numberOfElements; i++)
{
Imgproc.circle(img, new Point(srcPoints[i].x, srcPoints[i].y), 2, new Scalar(255, 0, 0, 255), -1);
}
}
}
else
{
// In this case, use Optical Flow
for (int i = 0; i < numberOfElements; i++)
{
dstPoints[i] = new Vector2((float)nextTrackPts[i].x, (float)nextTrackPts[i].y);
}
if (drawDebugPoints)
{
Debug.Log("Optical Flow");
for (int i = 0; i < numberOfElements; i++)
{
Imgproc.circle(img, nextTrackPts[i], 2, new Scalar(0, 0, 255, 255), -1);
}
}
}
}
Swap(ref prevTrackPts, ref nextTrackPts);
Swap(ref prevgray, ref gray);
}
return(dstPoints);
}
// Update is called once per frame
void Update()
{
if (webCamTextureToMatHelper.isPlaying() && webCamTextureToMatHelper.didUpdateThisFrame())
{
Mat rgbaMat = webCamTextureToMatHelper.GetMat();
if (mMOP2fptsPrev.rows() == 0)
{
// first time through the loop so we need prev and this mats
// plus prev points
// get this mat
Imgproc.cvtColor(rgbaMat, matOpFlowThis, Imgproc.COLOR_RGBA2GRAY);
// copy that to prev mat
matOpFlowThis.copyTo(matOpFlowPrev);
// get prev corners
Imgproc.goodFeaturesToTrack(matOpFlowPrev, MOPcorners, iGFFTMax, 0.05, 20);
mMOP2fptsPrev.fromArray(MOPcorners.toArray());
// get safe copy of this corners
mMOP2fptsPrev.copyTo(mMOP2fptsSafe);
}
else
{
// we've been through before so
// this mat is valid. Copy it to prev mat
matOpFlowThis.copyTo(matOpFlowPrev);
// get this mat
Imgproc.cvtColor(rgbaMat, matOpFlowThis, Imgproc.COLOR_RGBA2GRAY);
// get the corners for this mat
Imgproc.goodFeaturesToTrack(matOpFlowThis, MOPcorners, iGFFTMax, 0.05, 20);
mMOP2fptsThis.fromArray(MOPcorners.toArray());
// retrieve the corners from the prev mat
// (saves calculating them again)
mMOP2fptsSafe.copyTo(mMOP2fptsPrev);
// and save this corners for next time through
mMOP2fptsThis.copyTo(mMOP2fptsSafe);
}
/*
* Parameters:
* prevImg first 8-bit input image
* nextImg second input image
* prevPts vector of 2D points for which the flow needs to be found; point coordinates must be single-precision floating-point numbers.
* nextPts output vector of 2D points (with single-precision floating-point coordinates) containing the calculated new positions of input features in the second image; when OPTFLOW_USE_INITIAL_FLOW flag is passed, the vector must have the same size as in the input.
* status output status vector (of unsigned chars); each element of the vector is set to 1 if the flow for the corresponding features has been found, otherwise, it is set to 0.
* err output vector of errors; each element of the vector is set to an error for the corresponding feature, type of the error measure can be set in flags parameter; if the flow wasn't found then the error is not defined (use the status parameter to find such cases).
*/
Video.calcOpticalFlowPyrLK(matOpFlowPrev, matOpFlowThis, mMOP2fptsPrev, mMOP2fptsThis, mMOBStatus, mMOFerr);
if (!mMOBStatus.empty())
{
List <Point> cornersPrev = mMOP2fptsPrev.toList();
List <Point> cornersThis = mMOP2fptsThis.toList();
List <byte> byteStatus = mMOBStatus.toList();
int x = 0;
int y = byteStatus.Count - 1;
for (x = 0; x < y; x++)
{
if (byteStatus [x] == 1)
{
Point pt = cornersThis [x];
Point pt2 = cornersPrev [x];
Imgproc.circle(rgbaMat, pt, 5, colorRed, iLineThickness - 1);
Imgproc.line(rgbaMat, pt, pt2, colorRed, iLineThickness);
}
}
}
// Imgproc.putText (rgbaMat, "W:" + rgbaMat.width () + " H:" + rgbaMat.height () + " SO:" + Screen.orientation, new Point (5, rgbaMat.rows () - 10), Core.FONT_HERSHEY_SIMPLEX, 1.0, new Scalar (255, 255, 255, 255), 2, Imgproc.LINE_AA, false);
Utils.matToTexture2D(rgbaMat, texture, webCamTextureToMatHelper.GetBufferColors());
}
}
//手を検出して画像に描画する
private static void _handPoseEstimationProcess(Mat rgbaMat, Color handColor)
{
Imgproc.GaussianBlur(rgbaMat, rgbaMat, new OpenCVForUnity.Size(3, 3), 1, 1);
//検出器に色を設定
detector.setHsvColor(HGColorSpuiter.ColorToScalar(handColor));
List <MatOfPoint> contours = detector.getContours();
detector.process(rgbaMat);
if (contours.Count <= 0)
{
return;
}
//手の角度に傾いた外接矩形を作成
RotatedRect rect = Imgproc.minAreaRect(new MatOfPoint2f(contours[0].toArray()));
double boundWidth = rect.size.width;
double boundHeight = rect.size.height;
int boundPos = 0;
for (int i = 1; i < contours.Count; i++)
{
rect = Imgproc.minAreaRect(new MatOfPoint2f(contours[i].toArray()));
if (rect.size.width * rect.size.height > boundWidth * boundHeight)
{
boundWidth = rect.size.width;
boundHeight = rect.size.height;
boundPos = i;
}
}
OpenCVForUnity.Rect boundRect = Imgproc.boundingRect(new MatOfPoint(contours[boundPos].toArray()));
//手首までの範囲を描画
Imgproc.rectangle(rgbaMat, boundRect.tl(), boundRect.br(), HGColorSpuiter.ColorToScalar(WristRangeColor), 2, 8, 0);
double a = boundRect.br().y - boundRect.tl().y;
a = a * 0.7;
a = boundRect.tl().y + a;
//手のひらの範囲を描画
Imgproc.rectangle(rgbaMat, boundRect.tl(), new Point(boundRect.br().x, a), HGColorSpuiter.ColorToScalar(PalmsRangeColor), 2, 8, 0);
//折れ線カーブまたはポリゴンを，互いの距離が指定された精度以下になるように，より少ない頂点数のカーブやポリゴンで近似します
MatOfPoint2f pointMat = new MatOfPoint2f();
Imgproc.approxPolyDP(new MatOfPoint2f(contours[boundPos].toArray()), pointMat, 3, true);
contours[boundPos] = new MatOfPoint(pointMat.toArray());
//点とポリゴンの最短距離を計算
MatOfInt hull = new MatOfInt();
MatOfInt4 convexDefect = new MatOfInt4();
Imgproc.convexHull(new MatOfPoint(contours[boundPos].toArray()), hull);
if (hull.toArray().Length < 3)
{
return;
}
Imgproc.convexityDefects(new MatOfPoint(contours[boundPos].toArray()), hull, convexDefect);
//手の範囲を取得
List <MatOfPoint> hullPoints = new List <MatOfPoint>();
List <Point> listPo = new List <Point>();
for (int j = 0; j < hull.toList().Count; j++)
{
listPo.Add(contours[boundPos].toList()[hull.toList()[j]]);
}
MatOfPoint e = new MatOfPoint();
e.fromList(listPo);
hullPoints.Add(e);
//手の範囲を描画
Imgproc.drawContours(rgbaMat, hullPoints, -1, HGColorSpuiter.ColorToScalar(HandRangeColor), 3);
//指と認識した場所を取得
List <MatOfPoint> defectPoints = new List <MatOfPoint>();
List <Point> listPoDefect = new List <Point>();
for (int j = 0; j < convexDefect.toList().Count; j = j + 4)
{
Point farPoint = contours[boundPos].toList()[convexDefect.toList()[j + 2]];
int depth = convexDefect.toList()[j + 3];
if (depth > depthThreashold && farPoint.y < a)
{
listPoDefect.Add(contours[boundPos].toList()[convexDefect.toList()[j + 2]]);
}
}
MatOfPoint e2 = new MatOfPoint();
e2.fromList(listPo);
defectPoints.Add(e2);
//検出した指の本数を更新
numberOfFingers = listPoDefect.Count;
if (numberOfFingers > 5)
{
numberOfFingers = 5;
}
//指の間に点を描画
foreach (Point p in listPoDefect)
{
Imgproc.circle(rgbaMat, p, 6, HGColorSpuiter.ColorToScalar(BetweenFingersColor), -1);
}
}
/// <summary>
/// Processes points by filter.
/// </summary>
/// <param name="img">Image mat.</param>
/// <param name="srcPoints">Input points.</param>
/// <param name="dstPoints">Output points.</param>
/// <param name="drawDebugPoints">if true, draws debug points.</param>
/// <returns>Output points.</returns>
public override List <Vector2> Process(Mat img, List <Vector2> srcPoints, List <Vector2> dstPoints = null, bool drawDebugPoints = false)
{
if (srcPoints != null && srcPoints.Count != numberOfElements)
{
throw new ArgumentException("The number of elements is different.");
}
if (srcPoints != null)
{
if (dstPoints == null)
{
dstPoints = new List <Vector2> ();
}
if (dstPoints != null && dstPoints.Count != numberOfElements)
{
dstPoints.Clear();
for (int i = 0; i < numberOfElements; i++)
{
dstPoints.Add(new Vector2());
}
}
if (flag)
{
for (int i = 0; i < numberOfElements; i++)
{
double diff = Math.Sqrt(Math.Pow(srcPoints [i].x - lastPoints [i].x, 2.0) + Math.Pow(srcPoints [i].y - lastPoints [i].y, 2.0));
if (diff > diffLawPass)
{
lastPoints [i] = srcPoints [i];
if (drawDebugPoints)
{
Imgproc.circle(img, new Point(srcPoints [i].x, srcPoints [i].y), 1, new Scalar(0, 255, 0, 255), -1);
}
}
else
{
if (drawDebugPoints)
{
Imgproc.circle(img, new Point(lastPoints [i].x, lastPoints [i].y), 1, new Scalar(255, 0, 0, 255), -1);
}
}
dstPoints [i] = lastPoints [i];
}
}
else
{
for (int i = 0; i < numberOfElements; i++)
{
lastPoints [i] = srcPoints [i];
dstPoints [i] = srcPoints [i];
}
if (drawDebugPoints)
{
for (int i = 0; i < numberOfElements; i++)
{
Imgproc.circle(img, new Point(srcPoints [i].x, srcPoints [i].y), 1, new Scalar(0, 0, 255, 255), -1);
}
}
flag = true;
}
return(dstPoints);
}
else
{
return(dstPoints == null ? srcPoints : dstPoints);
}
}
void handleCalibration()
{
for (int i = 0; i < AK_receiver.GetComponent <akplay>().camInfoList.Count; i++)
{
//create color mat:
byte[] colorBytes = ((Texture2D)(AK_receiver.GetComponent <akplay>().camInfoList[i].colorCube.GetComponent <Renderer>().material.mainTexture)).GetRawTextureData();
GCHandle ch = GCHandle.Alloc(colorBytes, GCHandleType.Pinned);
Mat colorMat = new Mat(AK_receiver.GetComponent <akplay>().camInfoList[i].color_height, AK_receiver.GetComponent <akplay>().camInfoList[i].color_width, CvType.CV_8UC4);
Utils.copyToMat(ch.AddrOfPinnedObject(), colorMat);
ch.Free();
//OpenCVForUnity.CoreModule.Core.flip(colorMat, colorMat, 0);
//detect a chessboard in the image, and refine the points, and save the pixel positions:
MatOfPoint2f positions = new MatOfPoint2f();
int resizer = 4;
resizer = 1; //noresize!
Mat colorMatSmall = new Mat(); //~27 ms each
Imgproc.resize(colorMat, colorMatSmall, new Size(colorMat.cols() / resizer, colorMat.rows() / resizer));
bool success = Calib3d.findChessboardCorners(colorMatSmall, new Size(7, 7), positions);
for (int ss = 0; ss < positions.rows(); ss++)
{
double[] data = positions.get(ss, 0);
data[0] = data[0] * resizer;
data[1] = data[1] * resizer;
positions.put(ss, 0, data);
}
//subpixel, drawing chessboard, and getting orange blobs takes 14ms
TermCriteria tc = new TermCriteria();
Imgproc.cornerSubPix(colorMat, positions, new Size(5, 5), new Size(-1, -1), tc);
Mat chessboardResult = new Mat();
colorMat.copyTo(chessboardResult);
Calib3d.drawChessboardCorners(chessboardResult, new Size(7, 7), positions, success);
//Find the orange blobs:
Mat orangeMask = new Mat();
Vector2[] blobs = getOrangeBlobs(ref colorMat, ref orangeMask);
//find blob closest to chessboard
if (success && (blobs.Length > 0))
{
Debug.Log("found a chessboard and blobs for camera: " + i);
// time to get pin1 and chessboard positions: 27ms
//find pin1:
Point closestBlob = new Point();
int pin1idx = getPin1(positions, blobs, ref closestBlob);
Imgproc.circle(chessboardResult, new Point(positions.get(pin1idx, 0)[0], positions.get(pin1idx, 0)[1]), 10, new Scalar(255, 0, 0), -1);
Imgproc.circle(chessboardResult, closestBlob, 10, new Scalar(255, 255, 0), -1);
//get world positions of chessboard
Point[] realWorldPointArray = new Point[positions.rows()];
Point3[] realWorldPointArray3 = new Point3[positions.rows()];
Point[] imagePointArray = new Point[positions.rows()];
//getChessBoardWorldPositions(positions, pin1idx, 0.0498f, ref realWorldPointArray, ref realWorldPointArray3, ref imagePointArray); //green and white checkerboard.
getChessBoardWorldPositions(positions, pin1idx, 0.07522f, ref realWorldPointArray, ref realWorldPointArray3, ref imagePointArray); //black and white checkerboard.
string text = "";
float decimals = 1000.0f;
int text_red = 255;
int text_green = 0;
int text_blue = 0;
text = ((int)(realWorldPointArray3[0].x * decimals)) / decimals + "," + ((int)(realWorldPointArray3[0].y * decimals)) / decimals + "," + ((int)(realWorldPointArray3[0].z * decimals)) / decimals;
//text = sprintf("%f,%f,%f", realWorldPointArray3[0].x, realWorldPointArray3[0].y, realWorldPointArray3[0].z);
Imgproc.putText(chessboardResult, text, new Point(positions.get(0, 0)[0], positions.get(0, 0)[1]), 0, .6, new Scalar(text_red, text_green, text_blue));
text = ((int)(realWorldPointArray3[6].x * decimals)) / decimals + "," + ((int)(realWorldPointArray3[6].y * decimals)) / decimals + "," + ((int)(realWorldPointArray3[6].z * decimals)) / decimals;
//text = sprintf("%f,%f,%f", realWorldPointArray3[0].x, realWorldPointArray3[0].y, realWorldPointArray3[0].z);
Imgproc.putText(chessboardResult, text, new Point(positions.get(6, 0)[0], positions.get(6, 0)[1]), 0, .6, new Scalar(text_red, text_green, text_blue));
text = ((int)(realWorldPointArray3[42].x * decimals)) / decimals + "," + ((int)(realWorldPointArray3[42].y * decimals)) / decimals + "," + ((int)(realWorldPointArray3[42].z * decimals)) / decimals;
//text = sprintf("%f,%f,%f", realWorldPointArray3[0].x, realWorldPointArray3[0].y, realWorldPointArray3[0].z);
Imgproc.putText(chessboardResult, text, new Point(positions.get(42, 0)[0], positions.get(42, 0)[1]), 0, .6, new Scalar(text_red, text_green, text_blue));
text = ((int)(realWorldPointArray3[48].x * decimals)) / decimals + "," + ((int)(realWorldPointArray3[48].y * decimals)) / decimals + "," + ((int)(realWorldPointArray3[48].z * decimals)) / decimals;
//text = sprintf("%2.2f,%2.2f,%2.2f", realWorldPointArray3[48].x, realWorldPointArray3[48].y, realWorldPointArray3[48].z);
Imgproc.putText(chessboardResult, text, new Point(positions.get(48, 0)[0], positions.get(48, 0)[1]), 0, .6, new Scalar(text_red, text_green, text_blue));
Mat cameraMatrix = Mat.eye(3, 3, CvType.CV_64F);
cameraMatrix.put(0, 0, AK_receiver.GetComponent <akplay>().camInfoList[i].color_fx);
cameraMatrix.put(1, 1, AK_receiver.GetComponent <akplay>().camInfoList[i].color_fy);
cameraMatrix.put(0, 2, AK_receiver.GetComponent <akplay>().camInfoList[i].color_cx);
cameraMatrix.put(1, 2, AK_receiver.GetComponent <akplay>().camInfoList[i].color_cy);
double[] distortion = new double[8];
distortion[0] = AK_receiver.GetComponent <akplay>().camInfoList[i].color_k1;
distortion[1] = AK_receiver.GetComponent <akplay>().camInfoList[i].color_k2;
distortion[2] = AK_receiver.GetComponent <akplay>().camInfoList[i].color_p1;
distortion[3] = AK_receiver.GetComponent <akplay>().camInfoList[i].color_p2;
distortion[4] = AK_receiver.GetComponent <akplay>().camInfoList[i].color_k3;
distortion[5] = AK_receiver.GetComponent <akplay>().camInfoList[i].color_k4;
distortion[6] = AK_receiver.GetComponent <akplay>().camInfoList[i].color_k5;
distortion[7] = AK_receiver.GetComponent <akplay>().camInfoList[i].color_k6;
/*
* distortion[0] = 0.0;
* distortion[1] = 0.0;
* distortion[2] = 0.0;
* distortion[3] = 0.0;
* distortion[4] = 0.0;
* distortion[5] = 0.0;
* distortion[6] = 0.0;
* distortion[7] = 0.0;
*/
//~1 ms to solve for pnp
Mat rvec = new Mat();
Mat tvec = new Mat();
bool solvepnpSucces = Calib3d.solvePnP(new MatOfPoint3f(realWorldPointArray3), new MatOfPoint2f(imagePointArray), cameraMatrix, new MatOfDouble(distortion), rvec, tvec);
Mat R = new Mat();
Calib3d.Rodrigues(rvec, R);
//calculate unity vectors, and camera transforms
Mat camCenter = -R.t() * tvec;
Mat forwardOffset = new Mat(3, 1, tvec.type());
forwardOffset.put(0, 0, 0);
forwardOffset.put(1, 0, 0);
forwardOffset.put(2, 0, 1);
Mat upOffset = new Mat(3, 1, tvec.type());
upOffset.put(0, 0, 0);
upOffset.put(1, 0, -1);
upOffset.put(2, 0, 0);
Mat forwardVectorCV = R.t() * (forwardOffset - tvec);
forwardVectorCV = forwardVectorCV - camCenter;
Mat upVectorCV = R.t() * (upOffset - tvec);
upVectorCV = upVectorCV - camCenter;
Vector3 forwardVectorUnity = new Vector3((float)forwardVectorCV.get(0, 0)[0], (float)forwardVectorCV.get(2, 0)[0], (float)forwardVectorCV.get(1, 0)[0]); //need to flip y and z due to unity coordinate system
Vector3 upVectorUnity = new Vector3((float)upVectorCV.get(0, 0)[0], (float)upVectorCV.get(2, 0)[0], (float)upVectorCV.get(1, 0)[0]); //need to flip y and z due to unity coordinate system
Vector3 camCenterUnity = new Vector3((float)camCenter.get(0, 0)[0], (float)camCenter.get(2, 0)[0], (float)camCenter.get(1, 0)[0]);
Quaternion rotationUnity = Quaternion.LookRotation(forwardVectorUnity, upVectorUnity);
GameObject colorMarker = GameObject.CreatePrimitive(PrimitiveType.Cube);
//colorMarker.transform.localScale = new Vector3(0.1f, 0.1f, 0.2f);
//colorMarker.transform.parent = AK_receiver.transform;
colorMarker.layer = LayerMask.NameToLayer("Debug");
colorMarker.transform.position = camCenterUnity;
colorMarker.transform.rotation = Quaternion.LookRotation(forwardVectorUnity, upVectorUnity);
colorMarker.GetComponent <Renderer>().material.color = Color.blue;
Vector3 forwardDepth = AK_receiver.GetComponent <akplay>().camInfoList[i].color_extrinsics.MultiplyPoint(forwardVectorUnity);
Vector3 upDepth = AK_receiver.GetComponent <akplay>().camInfoList[i].color_extrinsics.MultiplyPoint(upVectorUnity);
Vector3 camCenterDepth = AK_receiver.GetComponent <akplay>().camInfoList[i].color_extrinsics.MultiplyPoint(camCenterUnity);
Quaternion rotationDepth = Quaternion.LookRotation(forwardDepth, upDepth);
GameObject depthMarker = GameObject.CreatePrimitive(PrimitiveType.Cube);
depthMarker.layer = LayerMask.NameToLayer("Debug");
depthMarker.transform.parent = colorMarker.transform;
//depthMarker.transform.localScale = AK_receiver.GetComponent<akplay>().camInfoList[i].color_extrinsics.lossyScale;
depthMarker.transform.localRotation = AK_receiver.GetComponent <akplay>().camInfoList[i].color_extrinsics.inverse.rotation;
Vector3 matrixPosition = new Vector3(AK_receiver.GetComponent <akplay>().camInfoList[i].color_extrinsics.inverse.GetColumn(3).x,
AK_receiver.GetComponent <akplay>().camInfoList[i].color_extrinsics.inverse.GetColumn(3).y,
AK_receiver.GetComponent <akplay>().camInfoList[i].color_extrinsics.inverse.GetColumn(3).z);
/*
* depthMarker.transform.localRotation = AK_receiver.GetComponent<akplay>().camInfoList[i].color_extrinsics.rotation;
*
* Vector3 matrixPosition = new Vector3(AK_receiver.GetComponent<akplay>().camInfoList[i].color_extrinsics.GetColumn(3).x,
* AK_receiver.GetComponent<akplay>().camInfoList[i].color_extrinsics.GetColumn(3).y,
* AK_receiver.GetComponent<akplay>().camInfoList[i].color_extrinsics.GetColumn(3).z);
*/
depthMarker.transform.localPosition = -matrixPosition;
depthMarker.transform.parent = null;
colorMarker.transform.localScale = new Vector3(0.1f, 0.1f, 0.2f);
depthMarker.transform.localScale = new Vector3(0.1f, 0.1f, 0.2f);
//depthMarker.transform.parent = AK_receiver.transform;
//depthMarker.transform.position = camCenterDepth;
//depthMarker.transform.rotation = Quaternion.LookRotation(forwardDepth-camCenterDepth, upDepth-camCenterDepth);
depthMarker.GetComponent <Renderer>().material.color = Color.red;
AK_receiver.GetComponent <akplay>().camInfoList[i].visualization.transform.position = depthMarker.transform.position; //need to flip y and z due to unity coordinate system
AK_receiver.GetComponent <akplay>().camInfoList[i].visualization.transform.rotation = depthMarker.transform.rotation;
}
//draw chessboard result to calibration ui:
Texture2D colorTexture = new Texture2D(chessboardResult.cols(), chessboardResult.rows(), TextureFormat.BGRA32, false);
colorTexture.LoadRawTextureData((IntPtr)chessboardResult.dataAddr(), (int)chessboardResult.total() * (int)chessboardResult.elemSize());
colorTexture.Apply();
checkerboard_display_list[i].GetComponent <Renderer>().material.mainTexture = colorTexture;
//draw threshold to calibration ui:
Texture2D orangeTexture = new Texture2D(orangeMask.cols(), orangeMask.rows(), TextureFormat.R8, false);
orangeTexture.LoadRawTextureData((IntPtr)orangeMask.dataAddr(), (int)orangeMask.total() * (int)orangeMask.elemSize());
orangeTexture.Apply();
threshold_display_list[i].GetComponent <Renderer>().material.mainTexture = orangeTexture;
}
}
/// <summary>
/// Draws a face landmark.
/// This method supports 68,17,6,5 landmark points.
/// </summary>
/// <param name="imgMat">Image mat.</param>
/// <param name="points">Points.</param>
/// <param name="color">Color.</param>
/// <param name="thickness">Thickness.</param>
/// <param name="drawIndexNumbers">Determines if draw index numbers.</param>
public static void DrawFaceLandmark(Mat imgMat, List <Vector2> points, Scalar color, int thickness, bool drawIndexNumbers = false)
{
if (points.Count == 5)
{
Imgproc.line(imgMat, new Point(points [0].x, points [0].y), new Point(points [1].x, points [1].y), color, thickness);
Imgproc.line(imgMat, new Point(points [1].x, points [1].y), new Point(points [4].x, points [4].y), color, thickness);
Imgproc.line(imgMat, new Point(points [4].x, points [4].y), new Point(points [3].x, points [3].y), color, thickness);
Imgproc.line(imgMat, new Point(points [3].x, points [3].y), new Point(points [2].x, points [2].y), color, thickness);
}
else if (points.Count == 6)
{
Imgproc.line(imgMat, new Point(points [2].x, points [2].y), new Point(points [3].x, points [3].y), color, thickness);
Imgproc.line(imgMat, new Point(points [4].x, points [4].y), new Point(points [5].x, points [5].y), color, thickness);
Imgproc.line(imgMat, new Point(points [3].x, points [3].y), new Point(points [0].x, points [0].y), color, thickness);
Imgproc.line(imgMat, new Point(points [4].x, points [4].y), new Point(points [0].x, points [0].y), color, thickness);
Imgproc.line(imgMat, new Point(points [0].x, points [0].y), new Point(points [1].x, points [1].y), color, thickness);
}
else if (points.Count == 17)
{
Imgproc.line(imgMat, new Point(points [2].x, points [2].y), new Point(points [9].x, points [9].y), color, thickness);
Imgproc.line(imgMat, new Point(points [9].x, points [9].y), new Point(points [3].x, points [3].y), color, thickness);
Imgproc.line(imgMat, new Point(points [3].x, points [3].y), new Point(points [10].x, points [10].y), color, thickness);
Imgproc.line(imgMat, new Point(points [10].x, points [10].y), new Point(points [2].x, points [2].y), color, thickness);
Imgproc.line(imgMat, new Point(points [4].x, points [4].y), new Point(points [11].x, points [11].y), color, thickness);
Imgproc.line(imgMat, new Point(points [11].x, points [11].y), new Point(points [5].x, points [5].y), color, thickness);
Imgproc.line(imgMat, new Point(points [5].x, points [5].y), new Point(points [12].x, points [12].y), color, thickness);
Imgproc.line(imgMat, new Point(points [12].x, points [12].y), new Point(points [4].x, points [4].y), color, thickness);
Imgproc.line(imgMat, new Point(points [3].x, points [3].y), new Point(points [0].x, points [0].y), color, thickness);
Imgproc.line(imgMat, new Point(points [4].x, points [4].y), new Point(points [0].x, points [0].y), color, thickness);
Imgproc.line(imgMat, new Point(points [0].x, points [0].y), new Point(points [1].x, points [1].y), color, thickness);
for (int i = 14; i <= 16; ++i)
{
Imgproc.line(imgMat, new Point(points [i].x, points [i].y), new Point(points [i - 1].x, points [i - 1].y), color, thickness);
}
Imgproc.line(imgMat, new Point(points [16].x, points [16].y), new Point(points [13].x, points [13].y), color, thickness);
for (int i = 6; i <= 8; i++)
{
Imgproc.circle(imgMat, new Point(points [i].x, points [i].y), 2, color, -1);
}
}
else if (points.Count == 68)
{
for (int i = 1; i <= 16; ++i)
{
Imgproc.line(imgMat, new Point(points [i].x, points [i].y), new Point(points [i - 1].x, points [i - 1].y), color, thickness);
}
for (int i = 28; i <= 30; ++i)
{
Imgproc.line(imgMat, new Point(points [i].x, points [i].y), new Point(points [i - 1].x, points [i - 1].y), color, thickness);
}
for (int i = 18; i <= 21; ++i)
{
Imgproc.line(imgMat, new Point(points [i].x, points [i].y), new Point(points [i - 1].x, points [i - 1].y), color, thickness);
}
for (int i = 23; i <= 26; ++i)
{
Imgproc.line(imgMat, new Point(points [i].x, points [i].y), new Point(points [i - 1].x, points [i - 1].y), color, thickness);
}
for (int i = 31; i <= 35; ++i)
{
Imgproc.line(imgMat, new Point(points [i].x, points [i].y), new Point(points [i - 1].x, points [i - 1].y), color, thickness);
}
Imgproc.line(imgMat, new Point(points [30].x, points [30].y), new Point(points [35].x, points [35].y), color, thickness);
for (int i = 37; i <= 41; ++i)
{
Imgproc.line(imgMat, new Point(points [i].x, points [i].y), new Point(points [i - 1].x, points [i - 1].y), color, thickness);
}
Imgproc.line(imgMat, new Point(points [36].x, points [36].y), new Point(points [41].x, points [41].y), color, thickness);
for (int i = 43; i <= 47; ++i)
{
Imgproc.line(imgMat, new Point(points [i].x, points [i].y), new Point(points [i - 1].x, points [i - 1].y), color, thickness);
}
Imgproc.line(imgMat, new Point(points [42].x, points [42].y), new Point(points [47].x, points [47].y), color, thickness);
for (int i = 49; i <= 59; ++i)
{
Imgproc.line(imgMat, new Point(points [i].x, points [i].y), new Point(points [i - 1].x, points [i - 1].y), color, thickness);
}
Imgproc.line(imgMat, new Point(points [48].x, points [48].y), new Point(points [59].x, points [59].y), color, thickness);
for (int i = 61; i <= 67; ++i)
{
Imgproc.line(imgMat, new Point(points [i].x, points [i].y), new Point(points [i - 1].x, points [i - 1].y), color, thickness);
}
Imgproc.line(imgMat, new Point(points [60].x, points [60].y), new Point(points [67].x, points [67].y), color, thickness);
}
else
{
for (int i = 0; i < points.Count; i++)
{
Imgproc.circle(imgMat, new Point(points [i].x, points [i].y), 2, color, -1);
}
}
// Draw the index number of facelandmark points.
if (drawIndexNumbers)
{
for (int i = 0; i < points.Count; ++i)
{
Imgproc.putText(imgMat, i.ToString(), new Point(points [i].x, points [i].y), Imgproc.FONT_HERSHEY_SIMPLEX, 0.5, new Scalar(255, 255, 255, 255), 1, Imgproc.LINE_AA, false);
}
}
}
/// <summary>
/// Processes points by filter.
/// </summary>
/// <param name="img">Image mat.</param>
/// <param name="srcPoints">Input points.</param>
/// <param name="dstPoints">Output points.</param>
/// <param name="drawDebugPoints">if true, draws debug points.</param>
/// <returns>Output points.</returns>
public override List <Vector2> Process(Mat img, List <Vector2> srcPoints, List <Vector2> dstPoints = null, bool drawDebugPoints = false)
{
if (srcPoints != null && srcPoints.Count != numberOfElements)
{
throw new ArgumentException("The number of elements is different.");
}
if (srcPoints != null)
{
if (dstPoints == null)
{
dstPoints = new List <Vector2> ();
}
if (dstPoints != null && dstPoints.Count != numberOfElements)
{
dstPoints.Clear();
for (int i = 0; i < numberOfElements; i++)
{
dstPoints.Add(new Vector2());
}
}
for (int i = 0; i < numberOfElements; i++)
{
src_points [i].x = srcPoints [i].x;
src_points [i].y = srcPoints [i].y;
}
// clac diffDlib
prevTrackPtsMat.fromList(src_points);
OpenCVForUnity.Rect rect = Imgproc.boundingRect(prevTrackPtsMat);
double diffDlib = this.diffDlib * rect.area() / 40000.0 * diffCheckSensitivity;
// if the face is moving so fast, use dlib to detect the face
double diff = calDistanceDiff(src_points, last_points);
if (drawDebugPoints)
{
Debug.Log("variance:" + diff);
}
if (diff > diffDlib)
{
for (int i = 0; i < numberOfElements; i++)
{
dstPoints [i] = srcPoints [i];
}
if (drawDebugPoints)
{
Debug.Log("DLIB");
for (int i = 0; i < numberOfElements; i++)
{
Imgproc.circle(img, new Point(srcPoints [i].x, srcPoints [i].y), 2, new Scalar(255, 0, 0, 255), -1);
}
}
flag = false;
}
else
{
if (!flag)
{
// Set initial state estimate.
Mat statePreMat = KF.get_statePre();
float[] tmpStatePre = new float[statePreMat.total()];
for (int i = 0; i < numberOfElements; i++)
{
tmpStatePre [i * 2] = (float)srcPoints [i].x;
tmpStatePre [i * 2 + 1] = (float)srcPoints [i].y;
}
statePreMat.put(0, 0, tmpStatePre);
Mat statePostMat = KF.get_statePost();
float[] tmpStatePost = new float[statePostMat.total()];
for (int i = 0; i < numberOfElements; i++)
{
tmpStatePost [i * 2] = (float)srcPoints [i].x;
tmpStatePost [i * 2 + 1] = (float)srcPoints [i].y;
}
statePostMat.put(0, 0, tmpStatePost);
flag = true;
}
// Kalman Prediction
KF.predict();
// Update Measurement
float[] tmpMeasurement = new float[measurement.total()];
for (int i = 0; i < numberOfElements; i++)
{
tmpMeasurement [i * 2] = (float)srcPoints [i].x;
tmpMeasurement [i * 2 + 1] = (float)srcPoints [i].y;
}
measurement.put(0, 0, tmpMeasurement);
// Correct Measurement
Mat estimated = KF.correct(measurement);
float[] tmpEstimated = new float[estimated.total()];
estimated.get(0, 0, tmpEstimated);
for (int i = 0; i < numberOfElements; i++)
{
predict_points [i].x = tmpEstimated [i * 2];
predict_points [i].y = tmpEstimated [i * 2 + 1];
}
estimated.Dispose();
for (int i = 0; i < numberOfElements; i++)
{
dstPoints [i] = new Vector2((float)predict_points [i].x, (float)predict_points [i].y);
}
if (drawDebugPoints)
{
Debug.Log("Kalman Filter");
for (int i = 0; i < numberOfElements; i++)
{
Imgproc.circle(img, predict_points [i], 2, new Scalar(0, 255, 0, 255), -1);
}
}
}
for (int i = 0; i < numberOfElements; i++)
{
last_points [i].x = src_points [i].x;
last_points [i].y = src_points [i].y;
}
return(dstPoints);
}
else
{
return(dstPoints == null ? srcPoints : dstPoints);
}
}
// Update is called once per frame
void Update()
{
if (webCamTextureToMatHelper.isPlaying() && webCamTextureToMatHelper.didUpdateThisFrame())
{
Mat rgbaMat = webCamTextureToMatHelper.GetMat();
Imgproc.cvtColor(rgbaMat, hsvMat, Imgproc.COLOR_RGBA2RGB);
Imgproc.cvtColor(hsvMat, hsvMat, Imgproc.COLOR_RGB2HSV);
Point[] points = roiPointList.ToArray();
if (roiPointList.Count == 4)
{
using (Mat backProj = new Mat()) {
Imgproc.calcBackProject(new List <Mat> (new Mat[] { hsvMat }), new MatOfInt(0), roiHistMat, backProj, new MatOfFloat(0, 180), 1.0);
RotatedRect r = Video.CamShift(backProj, roiRect, termination);
r.points(points);
}
#if ((UNITY_ANDROID || UNITY_IOS) && !UNITY_EDITOR)
//Touch
int touchCount = Input.touchCount;
if (touchCount == 1)
{
if (Input.GetTouch(0).phase == TouchPhase.Ended)
{
roiPointList.Clear();
}
}
#else
if (Input.GetMouseButtonUp(0))
{
roiPointList.Clear();
}
#endif
}
if (roiPointList.Count < 4)
{
#if ((UNITY_ANDROID || UNITY_IOS) && !UNITY_EDITOR)
//Touch
int touchCount = Input.touchCount;
if (touchCount == 1)
{
Touch t = Input.GetTouch(0);
if (t.phase == TouchPhase.Ended)
{
roiPointList.Add(convertScreenPoint(new Point(t.position.x, t.position.y), gameObject, Camera.main));
// Debug.Log ("touch X " + t.position.x);
// Debug.Log ("touch Y " + t.position.y);
if (!(new OpenCVForUnity.Rect(0, 0, hsvMat.width(), hsvMat.height()).contains(roiPointList [roiPointList.Count - 1])))
{
roiPointList.RemoveAt(roiPointList.Count - 1);
}
}
}
#else
//Mouse
if (Input.GetMouseButtonUp(0))
{
roiPointList.Add(convertScreenPoint(new Point(Input.mousePosition.x, Input.mousePosition.y), gameObject, Camera.main));
// Debug.Log ("mouse X " + Input.mousePosition.x);
// Debug.Log ("mouse Y " + Input.mousePosition.y);
if (!(new OpenCVForUnity.Rect(0, 0, hsvMat.width(), hsvMat.height()).contains(roiPointList [roiPointList.Count - 1])))
{
roiPointList.RemoveAt(roiPointList.Count - 1);
}
}
#endif
if (roiPointList.Count == 4)
{
using (MatOfPoint roiPointMat = new MatOfPoint(roiPointList.ToArray())) {
roiRect = Imgproc.boundingRect(roiPointMat);
}
if (roiHistMat != null)
{
roiHistMat.Dispose();
roiHistMat = null;
}
roiHistMat = new Mat();
using (Mat roiHSVMat = new Mat(hsvMat, roiRect))
using (Mat maskMat = new Mat()) {
Imgproc.calcHist(new List <Mat> (new Mat[] { roiHSVMat }), new MatOfInt(0), maskMat, roiHistMat, new MatOfInt(16), new MatOfFloat(0, 180));
Core.normalize(roiHistMat, roiHistMat, 0, 255, Core.NORM_MINMAX);
// Debug.Log ("roiHist " + roiHistMat.ToString ());
}
}
}
if (points.Length < 4)
{
for (int i = 0; i < points.Length; i++)
{
Imgproc.circle(rgbaMat, points [i], 6, new Scalar(0, 0, 255, 255), 2);
}
}
else
{
for (int i = 0; i < 4; i++)
{
Imgproc.line(rgbaMat, points [i], points [(i + 1) % 4], new Scalar(255, 0, 0, 255), 2);
}
Imgproc.rectangle(rgbaMat, roiRect.tl(), roiRect.br(), new Scalar(0, 255, 0, 255), 2);
}
Imgproc.putText(rgbaMat, "PLEASE TOUCH 4 POINTS", new Point(5, rgbaMat.rows() - 10), Core.FONT_HERSHEY_SIMPLEX, 1.0, new Scalar(255, 255, 255, 255), 2, Imgproc.LINE_AA, false);
// Imgproc.putText (rgbaMat, "W:" + rgbaMat.width () + " H:" + rgbaMat.height () + " SO:" + Screen.orientation, new Point (5, rgbaMat.rows () - 10), Core.FONT_HERSHEY_SIMPLEX, 1.0, new Scalar (255, 255, 255, 255), 2, Imgproc.LINE_AA, false);
Utils.matToTexture2D(rgbaMat, texture, webCamTextureToMatHelper.GetBufferColors());
}
}
// Use this for initialization
void Start()
{
// Data for visual representation
int width = 512, height = 512;
Mat image = Mat.zeros(height, width, CvType.CV_8UC4);
// Set up training data
int[] labels = { 1, -1, -1, -1 };
float[] trainingData = { 501, 10, 255, 10, 501, 255, 10, 501 };
Mat trainingDataMat = new Mat(4, 2, CvType.CV_32FC1);
trainingDataMat.put(0, 0, trainingData);
Mat labelsMat = new Mat(4, 1, CvType.CV_32SC1);
labelsMat.put(0, 0, labels);
// Train the SVM
SVM svm = SVM.create();
svm.setType(SVM.C_SVC);
svm.setKernel(SVM.LINEAR);
svm.setTermCriteria(new TermCriteria(TermCriteria.MAX_ITER, 100, 1e-6));
svm.train(trainingDataMat, Ml.ROW_SAMPLE, labelsMat);
// Show the decision regions given by the SVM
byte[] green = { 0, 255, 0, 255 };
byte[] blue = { 0, 0, 255, 255 };
for (int i = 0; i < image.rows(); ++i)
{
for (int j = 0; j < image.cols(); ++j)
{
Mat sampleMat = new Mat(1, 2, CvType.CV_32FC1);
sampleMat.put(0, 0, j, i);
float response = svm.predict(sampleMat);
if (response == 1)
{
image.put(i, j, green);
}
else if (response == -1)
{
image.put(i, j, blue);
}
}
}
// Show the training data
int thickness = -1;
int lineType = 8;
Imgproc.circle(image, new Point(501, 10), 5, new Scalar(0, 0, 0, 255), thickness, lineType, 0);
Imgproc.circle(image, new Point(255, 10), 5, new Scalar(255, 255, 255, 255), thickness, lineType, 0);
Imgproc.circle(image, new Point(501, 255), 5, new Scalar(255, 255, 255, 255), thickness, lineType, 0);
Imgproc.circle(image, new Point(10, 501), 5, new Scalar(255, 255, 255, 255), thickness, lineType, 0);
// Show support vectors
thickness = 2;
lineType = 8;
Mat sv = svm.getUncompressedSupportVectors();
// Debug.Log ("sv.ToString() " + sv.ToString ());
// Debug.Log ("sv.dump() " + sv.dump ());
for (int i = 0; i < sv.rows(); ++i)
{
Imgproc.circle(image, new Point((int)sv.get(i, 0) [0], (int)sv.get(i, 1) [0]), 6, new Scalar(128, 128, 128, 255), thickness, lineType, 0);
}
Texture2D texture = new Texture2D(image.width(), image.height(), TextureFormat.RGBA32, false);
Utils.matToTexture2D(image, texture);
gameObject.GetComponent <Renderer> ().material.mainTexture = texture;
}
//public RawImage document;
void Update()
{
if (webCamTextureToMatHelper.IsPlaying() && webCamTextureToMatHelper.DidUpdateThisFrame())
{
Mat mainMat = webCamTextureToMatHelper.GetMat();
if (!selectTarget) //find paper by contours
{
grayMat = new Mat();
// convert texture to matrix
mainMat.copyTo(grayMat);
mainMat = findPaper(mainMat);
// display matrix on the screen
Utils.fastMatToTexture2D(mainMat, texture);
}
else
{ // using optical flow
// set the currentGrayMat mat
currentGrayMat = new Mat(mainMat.rows(), mainMat.cols(), Imgproc.COLOR_RGB2GRAY);
Imgproc.cvtColor(mainMat, currentGrayMat, Imgproc.COLOR_RGBA2GRAY);
if (initOpticalFlow == true) // doing the init setting for optical flow
{
// create 40 points
Point[] points = new Point[40];
// set those points near the corner
// paperCornerMatOfPoint is the corner of the paper
for (int i = 0; i < 4; i++)
{
points[i * 10] = new Point(paperCornerMatOfPoint.toList()[i].x, paperCornerMatOfPoint.toList()[i].y);
points[i * 10 + 1] = new Point(paperCornerMatOfPoint.toList()[i].x + 1, paperCornerMatOfPoint.toList()[i].y);
points[i * 10 + 2] = new Point(paperCornerMatOfPoint.toList()[i].x, paperCornerMatOfPoint.toList()[i].y + 1);
points[i * 10 + 3] = new Point(paperCornerMatOfPoint.toList()[i].x + 1, paperCornerMatOfPoint.toList()[i].y + 1);
points[i * 10 + 4] = new Point(paperCornerMatOfPoint.toList()[i].x, paperCornerMatOfPoint.toList()[i].y - 1);
points[i * 10 + 5] = new Point(paperCornerMatOfPoint.toList()[i].x - 1, paperCornerMatOfPoint.toList()[i].y);
points[i * 10 + 6] = new Point(paperCornerMatOfPoint.toList()[i].x - 2, paperCornerMatOfPoint.toList()[i].y - 1);
points[i * 10 + 7] = new Point(paperCornerMatOfPoint.toList()[i].x, paperCornerMatOfPoint.toList()[i].y - 2);
points[i * 10 + 8] = new Point(paperCornerMatOfPoint.toList()[i].x - 2, paperCornerMatOfPoint.toList()[i].y - 2);
points[i * 10 + 9] = new Point(paperCornerMatOfPoint.toList()[i].x + 2, paperCornerMatOfPoint.toList()[i].y + 2);
}
// make the points closer to the corners (Harris Corner Detection )
//Imgproc.goodFeaturesToTrack(currentGrayMat, corners, 40, qualityLevel, minDistance, none, blockSize, false, 0.04);
//Imgproc.goodFeaturesToTrack(currentGrayMat, corners, 40,0.05,20);
corners.fromArray(points);
prevFeatures.fromList(corners.toList());
currentFeatures.fromList(corners.toList());
prevGrayMat = currentGrayMat.clone();
// won't go back t again
initOpticalFlow = false;
// not that useful lol
// create random color
// not working now
for (int i = 0; i < maxCorners; i++)
{
color.Add(new Scalar((int)(Random.value * 255), (int)(Random.value * 255),
(int)(Random.value * 255), 255));
}
}
else
{
// Don't want ball move
//currentFeatures.fromArray(prevFeatures.toArray());
// want ball move
prevFeatures.fromArray(currentFeatures.toArray());
// optical flow it will changes the valu of currentFeatures
Video.calcOpticalFlowPyrLK(prevGrayMat, currentGrayMat, prevFeatures, currentFeatures, mMOBStatus, err);
//Debug.Log(st.rows());
// change to points list
List <Point> prevList = prevFeatures.toList(),
nextList = currentFeatures.toList();
List <byte> byteStatus = mMOBStatus.toList();
int x = 0;
int y = byteStatus.Count - 1;
for (x = 0; x < y; x++)
{
if (byteStatus[x] == 1)
{
Point pt = nextList[x];
Point pt2 = prevList[x];
Imgproc.circle(mainMat, pt, 10, new Scalar(0, 0, 255), -1);
Imgproc.line(mainMat, pt, pt2, new Scalar(0, 0, 255));
}
}
// draw the data
//for (int i = 0; i < prevList.Count; i++)
//{
// //Imgproc.circle(frame, prevList[i], 5, color[10]);
// Imgproc.circle(mainMat, nextList[i], 10, new Scalar(0, 0, 255), -1);
// Imgproc.line(mainMat, prevList[i], nextList[i], color[20]);
//}
List <List <Point> > cornersFeatures = new List <List <Point> >(40);
cornersFeatures.Add(new List <Point>(10));
// put the corners features data into the list
int tmp = 0;
bool last = true;
for (int i = 0; i < nextList.Count - 1; i++)
{
if (Mathf.Abs((float)(nextList[i].x - nextList[i + 1].x)) < 10 && Mathf.Abs((float)(nextList[i].y - nextList[i + 1].y)) < 10)
{
if (last == true)
{
cornersFeatures[tmp].Add(nextList[i]);
}
else
{
cornersFeatures.Add(new List <Point>(10));
tmp = tmp + 1;
cornersFeatures[tmp].Add(nextList[i]);
}
last = true;
}
else
{
last = false;
}
}
// count corners
int manyCornersFeatures = 0;
for (int i = 0; i < cornersFeatures.Count; i++)
{
Debug.Log(cornersFeatures[i].Count);
if (cornersFeatures[i].Count < 5)
{
cornersFeatures.RemoveAt(i);
}
else
{
manyCornersFeatures++;
}
}
//Debug.Log("Length" + manyCornersFeatures);
// if corners equal 4 then diplay virtual docunment into the frame
// doing the perspective transform
if (manyCornersFeatures == 4)
{
Mat documentMat = new Mat(document.height, document.width, CvType.CV_8UC3);
Utils.texture2DToMat(document, documentMat);
List <Point> srcPoints = new List <Point>();
srcPoints.Add(new Point(0, 0));
srcPoints.Add(new Point(documentMat.cols(), 0));
srcPoints.Add(new Point(documentMat.cols(), documentMat.rows()));
srcPoints.Add(new Point(0, documentMat.rows()));
Mat srcPointsMat = Converters.vector_Point_to_Mat(srcPoints, CvType.CV_32F);
List <Point> dstPoints = new List <Point>()
{
cornersFeatures[0][0], cornersFeatures[1][0], cornersFeatures[2][0], cornersFeatures[3][0]
};
Mat dstPointsMat = Converters.vector_Point_to_Mat(dstPoints, CvType.CV_32F);
//Make perspective transform
Mat m = Imgproc.getPerspectiveTransform(srcPointsMat, dstPointsMat);
Mat warpedMat = new Mat(new Size(), documentMat.type());
Debug.Log((cornersFeatures[1][0].x - cornersFeatures[0][0].x) + " " + (cornersFeatures[2][0].y - cornersFeatures[1][0].y));
Imgproc.warpPerspective(documentMat, warpedMat, m, mainMat.size(), Imgproc.INTER_LINEAR);
//warpedMat.convertTo(warpedMat, CvType.CV_32F);
//warpedMat.convertTo(warpedMat, CvType.CV_8UC3);
warpedMat.convertTo(warpedMat, CvType.CV_8UC3);
// same size as frame
Mat dst = new Mat(mainMat.size(), CvType.CV_8UC3);
//Mat dst = new Mat(frame.size(), CvType.CV_8UC3);
//Mat dst2 = new Mat();
Imgproc.cvtColor(mainMat, dst, Imgproc.COLOR_RGBA2RGB);
//dst.setTo(new Scalar(0, 255, 0));
//currentGrayMat.copyTo(dst);
//dst.convertTo(dst, CvType.CV_8UC3);
//Imgproc.cvtColor(currentGrayMat, frame, Imgproc.COLOR_GRAY2RGBA);
Mat img1 = new Mat();
Mat mask = new Mat(mainMat.size(), CvType.CV_8UC1, new Scalar(0));
Imgproc.cvtColor(warpedMat, img1, Imgproc.COLOR_RGB2GRAY);
Imgproc.Canny(img1, img1, 100, 200);
List <MatOfPoint> doc_contours = new List <MatOfPoint>();;
Imgproc.findContours(img1, doc_contours, new Mat(), Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_NONE);
Imgproc.drawContours(mask, doc_contours, -1, new Scalar(255), Core.FILLED);
warpedMat.copyTo(dst, mask);
dst.convertTo(dst, CvType.CV_8UC3);
Debug.Log("dst" + dst.size());
Imgproc.cvtColor(dst, mainMat, Imgproc.COLOR_RGB2RGBA);
// display on the right
Texture2D finalTextue = new Texture2D(dst.width(), dst.height(), TextureFormat.RGB24, false);
Utils.matToTexture2D(dst, finalTextue);
targetRawImage.texture = finalTextue;
}
// current frame to old frame
prevGrayMat = currentGrayMat.clone();
//Imgproc.cvtColor(currentGrayMat, frame, Imgproc.COLOR_GRAY2RGBA);
// display matrix on the screen
Utils.fastMatToTexture2D(mainMat, texture);
}
}
}
}
// Update is called once per frame
void Update()
{
#if ((UNITY_ANDROID || UNITY_IOS) && !UNITY_EDITOR)
//Touch
int touchCount = Input.touchCount;
if (touchCount == 1)
{
Touch t = Input.GetTouch(0);
if (t.phase == TouchPhase.Ended && !EventSystem.current.IsPointerOverGameObject(t.fingerId))
{
storedTouchPoint = new Point(t.position.x, t.position.y);
//Debug.Log ("touch X " + t.position.x);
//Debug.Log ("touch Y " + t.position.y);
}
}
#else
//Mouse
if (Input.GetMouseButtonUp(0) && !EventSystem.current.IsPointerOverGameObject())
{
storedTouchPoint = new Point(Input.mousePosition.x, Input.mousePosition.y);
//Debug.Log ("mouse X " + Input.mousePosition.x);
//Debug.Log ("mouse Y " + Input.mousePosition.y);
}
#endif
if (webCamTextureToMatHelper.IsPlaying() && webCamTextureToMatHelper.DidUpdateThisFrame())
{
Mat rgbaMat = webCamTextureToMatHelper.GetMat();
Imgproc.cvtColor(rgbaMat, hsvMat, Imgproc.COLOR_RGBA2RGB);
Imgproc.cvtColor(hsvMat, hsvMat, Imgproc.COLOR_RGB2HSV);
if (storedTouchPoint != null)
{
ConvertScreenPointToTexturePoint(storedTouchPoint, storedTouchPoint, gameObject, rgbaMat.cols(), rgbaMat.rows());
OnTouch(rgbaMat, storedTouchPoint);
storedTouchPoint = null;
}
Point[] points = roiPointList.ToArray();
if (shouldStartCamShift)
{
shouldStartCamShift = false;
using (MatOfPoint roiPointMat = new MatOfPoint(points)) {
roiRect = Imgproc.boundingRect(roiPointMat);
}
if (roiHistMat != null)
{
roiHistMat.Dispose();
roiHistMat = null;
}
roiHistMat = new Mat();
using (Mat roiHSVMat = new Mat(hsvMat, roiRect))
using (Mat maskMat = new Mat()) {
Imgproc.calcHist(new List <Mat> (new Mat[] { roiHSVMat }), new MatOfInt(0), maskMat, roiHistMat, new MatOfInt(16), new MatOfFloat(0, 180));
Core.normalize(roiHistMat, roiHistMat, 0, 255, Core.NORM_MINMAX);
//Debug.Log ("roiHist " + roiHistMat.ToString ());
}
}
else if (points.Length == 4)
{
using (Mat backProj = new Mat()) {
Imgproc.calcBackProject(new List <Mat> (new Mat[] { hsvMat }), new MatOfInt(0), roiHistMat, backProj, new MatOfFloat(0, 180), 1.0);
RotatedRect r = Video.CamShift(backProj, roiRect, termination);
r.points(points);
}
}
if (points.Length < 4)
{
for (int i = 0; i < points.Length; i++)
{
Imgproc.circle(rgbaMat, points [i], 6, new Scalar(0, 0, 255, 255), 2);
}
}
else
{
for (int i = 0; i < 4; i++)
{
Imgproc.line(rgbaMat, points [i], points [(i + 1) % 4], new Scalar(255, 0, 0, 255), 2);
}
Imgproc.rectangle(rgbaMat, roiRect.tl(), roiRect.br(), new Scalar(0, 255, 0, 255), 2);
}
// Imgproc.putText (rgbaMat, "W:" + rgbaMat.width () + " H:" + rgbaMat.height () + " SO:" + Screen.orientation, new Point (5, rgbaMat.rows () - 10), Imgproc.FONT_HERSHEY_SIMPLEX, 1.0, new Scalar (255, 255, 255, 255), 2, Imgproc.LINE_AA, false);
Utils.fastMatToTexture2D(rgbaMat, texture);
}
}
void Update()
{
//Access camera image provided by Vuforia
Image camImg = CameraDevice.Instance.GetCameraImage(Image.PIXEL_FORMAT.RGBA8888);
if (camImg != null)
{
if (camImageMat == null)
{
//First time -> instantiate camera image specific data
camImageMat = new Mat(camImg.Height, camImg.Width, CvType.CV_8UC4); //Note: rows=height, cols=width
}
camImageMat.put(0, 0, camImg.Pixels);
//Replace with your own projection matrix. This approach only uses fy.
cam.fieldOfView = 2 * Mathf.Atan(camImg.Height * 0.5f / fy) * Mathf.Rad2Deg;
Vector3 worldPnt1 = corner1.transform.position;
Vector3 worldPnt2 = corner2.transform.position;
Vector3 worldPnt3 = corner3.transform.position;
Vector3 worldPnt4 = corner4.transform.position;
//See lecture slides
Matrix4x4 Rt = cam.transform.worldToLocalMatrix;
Matrix4x4 A = Matrix4x4.identity;
A.m00 = fx;
A.m11 = fy;
A.m02 = cx;
A.m12 = cy;
Matrix4x4 worldToImage = A * Rt;
Vector3 hUV1 = worldToImage.MultiplyPoint3x4(worldPnt1);
Vector3 hUV2 = worldToImage.MultiplyPoint3x4(worldPnt2);
Vector3 hUV3 = worldToImage.MultiplyPoint3x4(worldPnt3);
Vector3 hUV4 = worldToImage.MultiplyPoint3x4(worldPnt4);
//hUV are the image coordinates in 2D homogeneous coordinates, we need to normalize, i.e., divide by Z
Vector2 uv1 = new Vector2(hUV1.x, hUV1.y) / hUV1.z;
Vector2 uv2 = new Vector2(hUV2.x, hUV2.y) / hUV2.z;
Vector2 uv3 = new Vector2(hUV3.x, hUV3.y) / hUV3.z;
Vector2 uv4 = new Vector2(hUV4.x, hUV4.y) / hUV4.z;
//don't forget to alloc before putting values into a MatOfPoint2f
imagePoints.put(0, 0, uv1.x, camImg.Height - uv1.y);
imagePoints.put(1, 0, uv2.x, camImg.Height - uv2.y);
imagePoints.put(2, 0, uv3.x, camImg.Height - uv3.y);
imagePoints.put(3, 0, uv4.x, camImg.Height - uv4.y);
//Debug draw points
Point imgPnt1 = new Point(imagePoints.get(0, 0));
Point imgPnt2 = new Point(imagePoints.get(1, 0));
Point imgPnt3 = new Point(imagePoints.get(2, 0));
Point imgPnt4 = new Point(imagePoints.get(3, 0));
Imgproc.circle(camImageMat, imgPnt1, 5, new Scalar(255, 0, 0, 255));
Imgproc.circle(camImageMat, imgPnt2, 5, new Scalar(0, 255, 0, 255));
Imgproc.circle(camImageMat, imgPnt3, 5, new Scalar(0, 0, 255, 255));
Imgproc.circle(camImageMat, imgPnt4, 5, new Scalar(255, 255, 0, 255));
Scalar lineCl = new Scalar(200, 120, 0, 160);
Imgproc.line(camImageMat, imgPnt1, imgPnt2, lineCl);
Imgproc.line(camImageMat, imgPnt2, imgPnt3, lineCl);
Imgproc.line(camImageMat, imgPnt3, imgPnt4, lineCl);
Imgproc.line(camImageMat, imgPnt4, imgPnt1, lineCl);
var destPoints = new MatOfPoint2f(); // Creating a destination
destPoints.alloc(4);
destPoints.put(0, 0, width, 0);
destPoints.put(1, 0, width, height);
destPoints.put(2, 0, 0, height);
destPoints.put(3, 0, 0, 0);
var homography = Calib3d.findHomography(imagePoints, destPoints); // Finding the image
Imgproc.warpPerspective(camImageMat, destPoints, homography, new Size(camImageMat.width(), camImageMat.height()));
unwarpedTexture = unwarpedTextureClean;
MatDisplay.MatToTexture(destPoints, ref unwarpedTexture); // Take output and transform into texture
if (Input.GetKey("space"))
{
fish.GetComponent <Renderer>().material.mainTexture = unwarpedTexture;
}
else
{
fish.GetComponent <Renderer>().material.mainTexture = tex;
}
MatDisplay.DisplayMat(destPoints, MatDisplaySettings.BOTTOM_LEFT);
MatDisplay.DisplayMat(camImageMat, MatDisplaySettings.FULL_BACKGROUND);
}
}
// Main loop that runs forever, until the user hits Escape to quit.
private void recognizeAndTrainUsingWebcam(Mat cameraFrame, CascadeClassifier faceCascade, CascadeClassifier eyeCascade1, CascadeClassifier eyeCascade2)
{
if (cameraFrame != null && cameraFrame.empty())
{
Debug.LogError("ERROR: Couldn't grab the next camera frame.");
}
// Get a copy of the camera frame that we can draw onto.
Mat displayedFrame = cameraFrame;
int cx;
float current_processingTime = Time.realtimeSinceStartup;
float processingTimeDiff_seconds = (current_processingTime - old_processingTime);
if (processingTimeDiff_seconds > CHANGE_IN_SECONDS_FOR_PROCESSING)
{
// Run the face recognition system on the camera image. It will draw some things onto the given image, so make sure it is not read-only memory!
int identity = -1;
// Find a face and preprocess it to have a standard size and contrast & brightness.
Rect faceRect = new Rect(); // Position of detected face.
Rect searchedLeftEye = new Rect(), searchedRightEye = new Rect(); // top-left and top-right regions of the face, where eyes were searched.
Point leftEye = new Point(), rightEye = new Point(); // Position of the detected eyes.
Mat preprocessedFace = PreprocessFace.GetPreprocessedFace(displayedFrame, faceWidth, faceCascade, eyeCascade1, eyeCascade2, preprocessLeftAndRightSeparately, ref faceRect, ref leftEye, ref rightEye, ref searchedLeftEye, ref searchedRightEye);
bool gotFaceAndEyes = false;
if (preprocessedFace != null && !preprocessedFace.empty())
{
gotFaceAndEyes = true;
}
// Draw an anti-aliased rectangle around the detected face.
if (faceRect.width > 0)
{
Imgproc.rectangle(displayedFrame, faceRect.tl(), faceRect.br(), YELLOW, 2, Imgproc.LINE_AA, 0);
// Draw light-blue anti-aliased circles for the 2 eyes.
Scalar eyeColor = LIGHT_BLUE;
if (leftEye.x >= 0) // Check if the eye was detected
{
Imgproc.circle(displayedFrame, new Point(faceRect.x + leftEye.x, faceRect.y + leftEye.y), 6, eyeColor, 1, Imgproc.LINE_AA, 0);
}
if (rightEye.x >= 0) // Check if the eye was detected
{
Imgproc.circle(displayedFrame, new Point(faceRect.x + rightEye.x, faceRect.y + rightEye.y), 6, eyeColor, 1, Imgproc.LINE_AA, 0);
}
}
prev_prepreprocessedFace = preprocessedFace;
if (m_mode == MODES.MODE_DETECTION)
{
// Don't do anything special.
}
else if (m_mode == MODES.MODE_COLLECT_FACES)
{
// Check if we have detected a face.
if (gotFaceAndEyes)
{
// Check if this face looks somewhat different from the previously collected face.
double imageDiff = 10000000000.0d;
if (old_prepreprocessedFace != null && !old_prepreprocessedFace.empty())
{
imageDiff = Recognition.GetSimilarity(preprocessedFace, old_prepreprocessedFace);
}
// Also record when it happened.
double current_time = Time.realtimeSinceStartup;
double timeDiff_seconds = (current_time - old_time);
// Only process the face if it is noticeably different from the previous frame and there has been noticeable time gap.
if ((imageDiff > CHANGE_IN_IMAGE_FOR_COLLECTION) && (timeDiff_seconds > CHANGE_IN_SECONDS_FOR_COLLECTION))
{
// Also add the mirror image to the training set, so we have more training data, as well as to deal with faces looking to the left or right.
Mat mirroredFace = new Mat();
Core.flip(preprocessedFace, mirroredFace, 1);
// Add the face images to the list of detected faces.
preprocessedFaces.Add(preprocessedFace);
preprocessedFaces.Add(mirroredFace);
faceLabels.Add(m_selectedPerson);
faceLabels.Add(m_selectedPerson);
// Keep a reference to the latest face of each person.
m_latestFaces [m_selectedPerson] = preprocessedFaces.Count - 2; // Point to the non-mirrored face.
// Show the number of collected faces. But since we also store mirrored faces, just show how many the user thinks they stored.
Debug.Log("Saved face " + (preprocessedFaces.Count / 2) + " for person " + m_selectedPerson);
// Make a white flash on the face, so the user knows a photo has been taken.
using (Mat displayedFaceRegion = new Mat(displayedFrame, faceRect)) {
Core.add(displayedFaceRegion, DARK_GRAY, displayedFaceRegion);
}
// Keep a copy of the processed face, to compare on next iteration.
old_prepreprocessedFace = preprocessedFace;
old_time = current_time;
}
}
}
else if (m_mode == MODES.MODE_TRAINING)
{
// Check if there is enough data to train from. For Eigenfaces, we can learn just one person if we want, but for Fisherfaces,
// we need atleast 2 people otherwise it will crash!
bool haveEnoughData = true;
if (facerecAlgorithm == "FaceRecognizer.Fisherfaces")
{
if ((m_numPersons < 2) || (m_numPersons == 2 && m_latestFaces [1] < 0))
{
Debug.Log("Warning: Fisherfaces needs atleast 2 people, otherwise there is nothing to differentiate! Collect more data ...");
haveEnoughData = false;
}
}
if (m_numPersons < 1 || preprocessedFaces.Count <= 0 || preprocessedFaces.Count != faceLabels.Count)
{
Debug.Log("Warning: Need some training data before it can be learnt! Collect more data ...");
haveEnoughData = false;
}
if (haveEnoughData)
{
// Start training from the collected faces using Eigenfaces or a similar algorithm.
model = Recognition.LearnCollectedFaces(preprocessedFaces, faceLabels, facerecAlgorithm);
// Show the internal face recognition data, to help debugging.
//if (m_debug)
//Recognition.ShowTrainingDebugData(model, faceWidth, faceHeight);
// Now that training is over, we can start recognizing!
m_mode = MODES.MODE_RECOGNITION;
}
else
{
// Since there isn't enough training data, go back to the face collection mode!
m_mode = MODES.MODE_COLLECT_FACES;
}
}
else if (m_mode == MODES.MODE_RECOGNITION)
{
prev_identity = -1;
prev_similarity = 100000000.0d;
if (reconstructedFace != null && !reconstructedFace.IsDisposed)
{
reconstructedFace.Dispose();
}
reconstructedFace = null;
if (gotFaceAndEyes && (preprocessedFaces.Count > 0) && (preprocessedFaces.Count == faceLabels.Count))
{
// Generate a face approximation by back-projecting the eigenvectors & eigenvalues.
reconstructedFace = Recognition.ReconstructFace(model, preprocessedFace);
// Verify whether the reconstructed face looks like the preprocessed face, otherwise it is probably an unknown person.
double similarity = Recognition.GetSimilarity(preprocessedFace, reconstructedFace);
double confidence = 0.0d;
string outputStr;
if (similarity < UNKNOWN_PERSON_THRESHOLD)
{
int[] predictedLabel = new int [1];
double[] predictedConfidence = new double [1];
// Identify who the person is in the preprocessed face image.
model.predict(preprocessedFace, predictedLabel, predictedConfidence);
identity = predictedLabel [0];
confidence = predictedConfidence [0];
outputStr = identity.ToString();
prev_identity = identity;
}
else
{
// Since the confidence is low, assume it is an unknown person.
outputStr = "Unknown";
}
prev_similarity = similarity;
Debug.Log("Identity: " + outputStr + ". Similarity: " + similarity + ". Confidence: " + confidence);
}
}
else if (m_mode == MODES.MODE_DELETE_ALL)
{
// Restart everything!
dispose();
// Restart in Detection mode.
m_mode = MODES.MODE_DETECTION;
}
else
{
Debug.LogError("ERROR: Invalid run mode " + m_mode);
//exit(1);
}
old_processingTime = current_processingTime;
}
// Show the help, while also showing the number of collected faces. Since we also collect mirrored faces, we should just
// tell the user how many faces they think we saved (ignoring the mirrored faces), hence divide by 2.
strBuilder.Length = 0;
Rect rcHelp = new Rect();
if (m_mode == MODES.MODE_DETECTION)
{
strBuilder.Append("Click [Add Person] when ready to collect faces.");
}
else if (m_mode == MODES.MODE_COLLECT_FACES)
{
strBuilder.Append("Click anywhere to train from your ");
strBuilder.Append(preprocessedFaces.Count / 2);
strBuilder.Append(" faces of ");
strBuilder.Append(m_numPersons);
strBuilder.Append(" people.");
}
else if (m_mode == MODES.MODE_TRAINING)
{
strBuilder.Append("Please wait while your ");
strBuilder.Append(preprocessedFaces.Count / 2);
strBuilder.Append(" faces of ");
strBuilder.Append(m_numPersons);
strBuilder.Append(" people builds.");
}
else if (m_mode == MODES.MODE_RECOGNITION)
{
strBuilder.Append("Click people on the right to add more faces to them, or [Add Person] for someone new.");
}
if (strBuilder.Length > 0)
{
// Draw it with a black background and then again with a white foreground.
// Since BORDER may be 0 and we need a negative position, subtract 2 from the border so it is always negative.
float txtSize = 0.4f;
drawString(displayedFrame, strBuilder.ToString(), new Point(BORDER, -BORDER - 2), BLACK, txtSize); // Black shadow.
rcHelp = drawString(displayedFrame, strBuilder.ToString(), new Point(BORDER + 1, -BORDER - 1), WHITE, txtSize); // White text.
}
// Show the current mode.
strBuilder.Length = 0;
if (m_mode >= 0 && m_mode < MODES.MODE_END)
{
strBuilder.Append(" people builds.");
strBuilder.Append(MODE_NAMES [(int)m_mode]);
drawString(displayedFrame, strBuilder.ToString(), new Point(BORDER, -BORDER - 2 - rcHelp.height), BLACK); // Black shadow
drawString(displayedFrame, strBuilder.ToString(), new Point(BORDER + 1, -BORDER - 1 - rcHelp.height), GREEN); // Green text
}
// Show the current preprocessed face in the top-center of the display.
cx = (displayedFrame.cols() - faceWidth) / 2;
if (prev_prepreprocessedFace != null && !prev_prepreprocessedFace.empty())
{
// Get a RGBA version of the face, since the output is RGBA color.
using (Mat srcRGBA = new Mat(prev_prepreprocessedFace.size(), CvType.CV_8UC4)) {
Imgproc.cvtColor(prev_prepreprocessedFace, srcRGBA, Imgproc.COLOR_GRAY2RGBA);
// Get the destination ROI (and make sure it is within the image!).
Rect dstRC = new Rect(cx, BORDER, faceWidth, faceHeight);
using (Mat dstROI = new Mat(displayedFrame, dstRC)) {
// Copy the pixels from src to dst.
srcRGBA.copyTo(dstROI);
}
}
}
// Draw an anti-aliased border around the face, even if it is not shown.
Imgproc.rectangle(displayedFrame, new Point(cx - 1, BORDER - 1), new Point(cx - 1 + faceWidth + 2, BORDER - 1 + faceHeight + 2), LIGHT_GRAY, 1, Imgproc.LINE_AA, 0);
// Show the most recent face for each of the collected people, on the right side of the display.
m_gui_faces_left = displayedFrame.cols() - BORDER - faceWidth;
m_gui_faces_top = BORDER;
for (int i = 0; i < m_numPersons; i++)
{
int index = m_latestFaces [i];
if (index >= 0 && index < preprocessedFaces.Count)
{
Mat srcGray = preprocessedFaces [index];
if (srcGray != null && !srcGray.empty())
{
// Get a RGBA version of the face, since the output is RGBA color.
using (Mat srcRGBA = new Mat(srcGray.size(), CvType.CV_8UC4)) {
Imgproc.cvtColor(srcGray, srcRGBA, Imgproc.COLOR_GRAY2RGBA);
// Get the destination ROI (and make sure it is within the image!).
int y = Mathf.Min(m_gui_faces_top + i * faceHeight, displayedFrame.rows() - faceHeight);
Rect dstRC = new Rect(m_gui_faces_left, y, faceWidth, faceHeight);
using (Mat dstROI = new Mat(displayedFrame, dstRC)) {
// Copy the pixels from src to dst.
srcRGBA.copyTo(dstROI);
}
}
}
}
}
// Highlight the person being collected, using a red rectangle around their face.
if (m_mode == MODES.MODE_COLLECT_FACES)
{
if (m_selectedPerson >= 0 && m_selectedPerson < m_numPersons)
{
int y = Mathf.Min(m_gui_faces_top + m_selectedPerson * faceHeight, displayedFrame.rows() - faceHeight);
Rect rc = new Rect(m_gui_faces_left, y, faceWidth, faceHeight);
Imgproc.rectangle(displayedFrame, rc.tl(), rc.br(), RED, 3, Imgproc.LINE_AA, 0);
}
}
// Highlight the person that has been recognized, using a green rectangle around their face.
if (m_mode == MODES.MODE_RECOGNITION && prev_identity >= 0 && prev_identity < 1000)
{
int y = Mathf.Min(m_gui_faces_top + prev_identity * faceHeight, displayedFrame.rows() - faceHeight);
Rect rc = new Rect(m_gui_faces_left, y, faceWidth, faceHeight);
Imgproc.rectangle(displayedFrame, rc.tl(), rc.br(), GREEN, 3, Imgproc.LINE_AA, 0);
}
if (m_mode == MODES.MODE_RECOGNITION)
{
if (m_debug)
{
if (reconstructedFace != null && !reconstructedFace.empty())
{
cx = (displayedFrame.cols() - faceWidth) / 2;
Point rfDebugBottomRight = new Point(cx + faceWidth * 2 + 5, BORDER + faceHeight);
Point rfDebugTopLeft = new Point(cx + faceWidth + 5, BORDER);
Rect rfDebugRC = new Rect(rfDebugTopLeft, rfDebugBottomRight);
using (Mat srcRGBA = new Mat(reconstructedFace.size(), CvType.CV_8UC4)) {
Imgproc.cvtColor(reconstructedFace, srcRGBA, Imgproc.COLOR_GRAY2RGBA);
using (Mat dstROI = new Mat(displayedFrame, rfDebugRC)) {
srcRGBA.copyTo(dstROI);
}
}
Imgproc.rectangle(displayedFrame, rfDebugTopLeft, rfDebugBottomRight, LIGHT_GRAY, 1, Imgproc.LINE_AA, 0);
}
}
// Show the confidence rating for the recognition in the mid-top of the display.
cx = (displayedFrame.cols() - faceWidth) / 2;
Point ptBottomRight = new Point(cx - 5, BORDER + faceHeight);
Point ptTopLeft = new Point(cx - 15, BORDER);
// Draw a gray line showing the threshold for an "unknown" person.
Point ptThreshold = new Point(ptTopLeft.x, ptBottomRight.y - (1.0 - UNKNOWN_PERSON_THRESHOLD) * faceHeight);
Imgproc.rectangle(displayedFrame, ptThreshold, new Point(ptBottomRight.x, ptThreshold.y), LIGHT_GRAY, 1, Imgproc.LINE_AA, 0);
// Crop the confidence rating between 0.0 to 1.0, to show in the bar.
double confidenceRatio = 1.0d - Math.Min(Math.Max(prev_similarity, 0.0d), 1.0d);
Point ptConfidence = new Point(ptTopLeft.x, ptBottomRight.y - confidenceRatio * faceHeight);
// Show the light-blue confidence bar.
Imgproc.rectangle(displayedFrame, ptConfidence, ptBottomRight, LIGHT_BLUE, Core.FILLED, Imgproc.LINE_AA, 0);
// Show the gray border of the bar.
Imgproc.rectangle(displayedFrame, ptTopLeft, ptBottomRight, LIGHT_GRAY, 1, Imgproc.LINE_AA, 0);
}
/*
* // If the user wants all the debug data, show it to them!
* if (m_debug)
* {
* Mat face = new Mat();
* if (faceRect.width > 0)
* {
* face = new Mat(cameraFrame, faceRect);
* if (searchedLeftEye.width > 0 && searchedRightEye.width > 0)
* {
* Mat topLeftOfFace = new Mat(face, searchedLeftEye);
* Mat topRightOfFace = new Mat(face, searchedRightEye);
* //imshow("topLeftOfFace", topLeftOfFace);
* //imshow("topRightOfFace", topRightOfFace);
* }
* }
*
* //if (model != null)
* //showTrainingDebugData(model, faceWidth, faceHeight);
* }
*/
}
