public Vector4 DetectMarkers(Mat rgbMat)
{
Mat ids = new Mat();
List <Mat> corners = new List <Mat>();
List <Mat> rejectedCorners = new List <Mat>();
Mat rvecs = new Mat();
//Mat rotMat = new Mat(3, 3, CvType.CV_64FC1);
Mat tvecs = new Mat();
DetectorParameters detectorParams = DetectorParameters.create();
Dictionary dictionary = Aruco.getPredefinedDictionary((int)dictionaryId);
Vector4 ARM = new Vector3();
// detect markers
Aruco.detectMarkers(rgbMat, dictionary, corners, ids, detectorParams, rejectedCorners, camMatrix, distCoeffs);
// if at least one marker detected
if (ids.total() > 0)
{
// estimate pose, from marker to camera
Aruco.estimatePoseSingleMarkers(corners, markerSize, camMatrix, distCoeffs, rvecs, tvecs);
// Marker centre location
double[] tvecArr = tvecs.get(0, 0);
// image flip + coordinates transformation (OpenCV to Unity)
ARM = new Vector4((float)tvecArr[0] + 0.005f, (float)tvecArr[1] + 0.005f, -(float)tvecArr[2], 1f);
Debug.Log("raw ARM " + ARM.ToString("f5"));
//// Rotation and convert to Unity matrix format
//double[] rvecArr = rvecs.get(0, 0);
//Mat rvec = new Mat(3, 1, CvType.CV_64FC1);
//rvec.put(0, 0, rvecArr);
//Calib3d.Rodrigues(rvec, rotMat);
//double[] rotMatArr = new double[rotMat.total()];
//rotMat.get(0, 0, rotMatArr);
//// Transformation matrix
//Matrix4x4 transformationM = new Matrix4x4();
//transformationM.SetRow(0, new Vector4((float)rotMatArr[0], (float)rotMatArr[1], (float)rotMatArr[2], (float)tvecArr[0]));
//transformationM.SetRow(1, new Vector4((float)rotMatArr[3], (float)rotMatArr[4], (float)rotMatArr[5], (float)tvecArr[1]));
//transformationM.SetRow(2, new Vector4((float)rotMatArr[6], (float)rotMatArr[7], (float)rotMatArr[8], (float)tvecArr[2]));
//transformationM.SetRow(3, new Vector4(0, 0, 0, 1));
//Debug.Log("transformationM " + transformationM.ToString());
success = true;
}
else
{
Debug.Log("not detected");
success = false;
}
return(ARM);
}
private void DetectARUcoMarker()
{
if (downscaleRatio == 1)
{
downScaleRgbaMat = rgbaMat4Thread;
}
else
{
Imgproc.resize(rgbaMat4Thread, downScaleRgbaMat, new Size(), 1.0 / downscaleRatio, 1.0 / downscaleRatio, Imgproc.INTER_LINEAR);
}
Imgproc.cvtColor(downScaleRgbaMat, grayMat, Imgproc.COLOR_RGBA2GRAY);
// Detect markers and estimate Pose
Aruco.detectMarkers(grayMat, dictionary, corners, ids, detectorParams, rejected);
if (applyEstimationPose && ids.total() > 0)
{
Aruco.estimatePoseSingleMarkers(corners, markerLength, camMatrix, distCoeffs, rvecs, tvecs);
for (int i = 0; i < ids.total(); i++)
{
//This example can display ARObject on only first detected marker.
if (i == 0)
{
// Position
double[] tvec = tvecs.get(i, 0);
// Rotation
double[] rv = rvecs.get(i, 0);
Mat rvec = new Mat(3, 1, CvType.CV_64FC1);
rvec.put(0, 0, rv [0]);
rvec.put(1, 0, rv [1]);
rvec.put(2, 0, rv [2]);
Calib3d.Rodrigues(rvec, rotMat);
transformationM.SetRow(0, new Vector4((float)rotMat.get(0, 0) [0], (float)rotMat.get(0, 1) [0], (float)rotMat.get(0, 2) [0], (float)tvec [0]));
transformationM.SetRow(1, new Vector4((float)rotMat.get(1, 0) [0], (float)rotMat.get(1, 1) [0], (float)rotMat.get(1, 2) [0], (float)tvec [1]));
transformationM.SetRow(2, new Vector4((float)rotMat.get(2, 0) [0], (float)rotMat.get(2, 1) [0], (float)rotMat.get(2, 2) [0], (float)(tvec [2] / downscaleRatio)));
transformationM.SetRow(3, new Vector4(0, 0, 0, 1));
// Right-handed coordinates system (OpenCV) to left-handed one (Unity)
ARM = invertYM * transformationM;
// Apply Z axis inverted matrix.
ARM = ARM * invertZM;
hasUpdatedARTransformMatrix = true;
break;
}
}
}
}
private void EstimatePoseCanonicalMarker(Mat Img)
{
Aruco.estimatePoseSingleMarkers(corners, markerLength, camMatrix, distCoeffs, rvecs, tvecs);
for (int i = 0; i < ids.total(); i++)
{
using (Mat rvec = new Mat(rvecs, new OpenCVForUnity.CoreModule.Rect(0, i, 1, 1)))
using (Mat tvec = new Mat(tvecs, new OpenCVForUnity.CoreModule.Rect(0, i, 1, 1))) {
// In this example we are processing with RGB color image, so Axis-color correspondences are X: blue, Y: green, Z: red. (Usually X: red, Y: green, Z: blue)
Aruco.drawAxis(Img, camMatrix, distCoeffs, rvec, tvec, markerLength * 0.5f);
// Update the AR object depend on marker id
UpdateARObjectTransform(rvec, tvec, list_ids[i]);
}
}
}
private void DetectARUcoMarker()
{
Imgproc.cvtColor(downScaleFrameMat, grayMat, Imgproc.COLOR_RGBA2GRAY);
// Detect markers and estimate Pose
Aruco.detectMarkers(grayMat, dictionary, corners, ids, detectorParams, rejectedCorners, camMatrix, distCoeffs);
if (applyEstimationPose && ids.total() > 0)
{
Aruco.estimatePoseSingleMarkers(corners, markerLength, camMatrix, distCoeffs, rvecs, tvecs);
for (int i = 0; i < ids.total(); i++)
{
//This example can display ARObject on only first detected marker.
if (i == 0)
{
// Convert to unity pose data.
double[] rvecArr = new double[3];
rvecs.get(0, 0, rvecArr);
double[] tvecArr = new double[3];
tvecs.get(0, 0, tvecArr);
tvecArr[2] /= imageOptimizationHelper.downscaleRatio;
PoseData poseData = ARUtils.ConvertRvecTvecToPoseData(rvecArr, tvecArr);
// Changes in pos/rot below these thresholds are ignored.
if (enableLowPassFilter)
{
ARUtils.LowpassPoseData(ref oldPoseData, ref poseData, positionLowPass, rotationLowPass);
}
oldPoseData = poseData;
// Create transform matrix.
transformationM = Matrix4x4.TRS(poseData.pos, poseData.rot, Vector3.one);
// Right-handed coordinates system (OpenCV) to left-handed one (Unity)
// https://stackoverflow.com/questions/30234945/change-handedness-of-a-row-major-4x4-transformation-matrix
ARM = invertYM * transformationM * invertYM;
// Apply Y-axis and Z-axis refletion matrix. (Adjust the posture of the AR object)
ARM = ARM * invertYM * invertZM;
hasUpdatedARTransformMatrix = true;
break;
}
}
}
}
private void EstimatePoseMarker(GameObject ARGameObject)
{
Aruco.estimatePoseSingleMarkers(cornersAruco, markerLength, camMatrix, distCoeffs, rvecs, tvecs);
for (int i = 0; i < idsAruco.total(); i++)
{
using (Mat rvec = new Mat(rvecs, new OpenCVForUnity.CoreModule.Rect(0, i, 1, 1)))
using (Mat tvec = new Mat(tvecs, new OpenCVForUnity.CoreModule.Rect(0, i, 1, 1)))
{
if (i == 0)
{
UpdateARObjectTransform(rvec, tvec, ARGameObject);
}
}
}
}
private void EstimatePoseChArUcoDiamondMarker(Mat rgbMat)
{
Aruco.estimatePoseSingleMarkers(diamondCorners, diamondSquareLength, camMatrix, distCoeffs, rvecs, tvecs);
for (int i = 0; i < rvecs.total(); i++)
{
using (Mat rvec = new Mat(rvecs, new OpenCVForUnity.CoreModule.Rect(0, i, 1, 1)))
using (Mat tvec = new Mat(tvecs, new OpenCVForUnity.CoreModule.Rect(0, i, 1, 1))) {
// In this example we are processing with RGB color image, so Axis-color correspondences are X: blue, Y: green, Z: red. (Usually X: red, Y: green, Z: blue)
Aruco.drawAxis(rgbMat, camMatrix, distCoeffs, rvec, tvec, diamondSquareLength * 0.5f);
// This example can display the ARObject on only first detected marker.
if (i == 0)
{
UpdateARObjectTransform(rvec, tvec);
}
}
}
}
private void DetectARUcoMarker()
{
// Detect markers and estimate Pose
Aruco.detectMarkers(downScaleMat, dictionary, corners, ids, detectorParams, rejectedCorners, camMatrix, distCoeffs);
if (applyEstimationPose && ids.total() > 0)
{
Aruco.estimatePoseSingleMarkers(corners, markerLength, camMatrix, distCoeffs, rvecs, tvecs);
for (int i = 0; i < ids.total(); i++)
{
//This example can display ARObject on only first detected marker.
if (i == 0)
{
// Convert to unity pose data.
double[] rvecArr = new double[3];
rvecs.get(0, 0, rvecArr);
double[] tvecArr = new double[3];
tvecs.get(0, 0, tvecArr);
tvecArr[2] /= DOWNSCALE_RATIO;
PoseData poseData = ARUtils.ConvertRvecTvecToPoseData(rvecArr, tvecArr);
// Create transform matrix.
transformationM = Matrix4x4.TRS(poseData.pos, poseData.rot, Vector3.one);
// Right-handed coordinates system (OpenCV) to left-handed one (Unity)
// https://stackoverflow.com/questions/30234945/change-handedness-of-a-row-major-4x4-transformation-matrix
ARM = invertYM * transformationM * invertYM;
// Apply Y-axis and Z-axis refletion matrix. (Adjust the posture of the AR object)
ARM = ARM * invertYM * invertZM;
hasUpdatedARTransformMatrix = true;
break;
}
}
}
}
public void OnFrameMatAcquired(Mat grayMat, Matrix4x4 projectionMatrix, Matrix4x4 cameraToWorldMatrix, CameraIntrinsics cameraIntrinsics)
{
isDetectingInFrameArrivedThread = true;
DebugUtils.VideoTick();
Mat downScaleMat = null;
float DOWNSCALE_RATIO;
if (enableDownScale)
{
downScaleMat = imageOptimizationHelper.GetDownScaleMat(grayMat);
DOWNSCALE_RATIO = imageOptimizationHelper.downscaleRatio;
}
else
{
downScaleMat = grayMat;
DOWNSCALE_RATIO = 1.0f;
}
Mat camMatrix = null;
MatOfDouble distCoeffs = null;
if (useStoredCameraParameters)
{
camMatrix = this.camMatrix;
distCoeffs = this.distCoeffs;
}
else
{
camMatrix = CreateCameraMatrix(cameraIntrinsics.FocalLengthX, cameraIntrinsics.FocalLengthY, cameraIntrinsics.PrincipalPointX / DOWNSCALE_RATIO, cameraIntrinsics.PrincipalPointY / DOWNSCALE_RATIO);
distCoeffs = new MatOfDouble(cameraIntrinsics.RadialDistK1, cameraIntrinsics.RadialDistK2, cameraIntrinsics.RadialDistK3, cameraIntrinsics.TangentialDistP1, cameraIntrinsics.TangentialDistP2);
}
if (enableDetection)
{
// Detect markers and estimate Pose
Aruco.detectMarkers(downScaleMat, dictionary, corners, ids, detectorParams, rejectedCorners, camMatrix, distCoeffs);
if (applyEstimationPose && ids.total() > 0)
{
Aruco.estimatePoseSingleMarkers(corners, markerLength, camMatrix, distCoeffs, rvecs, tvecs);
for (int i = 0; i < ids.total(); i++)
{
//This example can display ARObject on only first detected marker.
if (i == 0)
{
// Convert to unity pose data.
double[] rvecArr = new double[3];
rvecs.get(0, 0, rvecArr);
double[] tvecArr = new double[3];
tvecs.get(0, 0, tvecArr);
tvecArr[2] /= DOWNSCALE_RATIO;
PoseData poseData = ARUtils.ConvertRvecTvecToPoseData(rvecArr, tvecArr);
// Create transform matrix.
transformationM = Matrix4x4.TRS(poseData.pos, poseData.rot, Vector3.one);
lock (sync)
{
// Right-handed coordinates system (OpenCV) to left-handed one (Unity)
ARM = invertYM * transformationM;
// Apply Z-axis inverted matrix.
ARM = ARM * invertZM;
}
hasUpdatedARTransformMatrix = true;
break;
}
}
}
}
Mat rgbMat4preview = null;
if (displayCameraPreview)
{
rgbMat4preview = new Mat();
Imgproc.cvtColor(downScaleMat, rgbMat4preview, Imgproc.COLOR_GRAY2RGB);
if (ids.total() > 0)
{
Aruco.drawDetectedMarkers(rgbMat4preview, corners, ids, new Scalar(0, 255, 0));
if (applyEstimationPose)
{
for (int i = 0; i < ids.total(); i++)
{
using (Mat rvec = new Mat(rvecs, new OpenCVForUnity.CoreModule.Rect(0, i, 1, 1)))
using (Mat tvec = new Mat(tvecs, new OpenCVForUnity.CoreModule.Rect(0, i, 1, 1)))
{
// In this example we are processing with RGB color image, so Axis-color correspondences are X: blue, Y: green, Z: red. (Usually X: red, Y: green, Z: blue)
Calib3d.drawFrameAxes(rgbMat4preview, camMatrix, distCoeffs, rvec, tvec, markerLength * 0.5f);
}
}
}
}
}
DebugUtils.TrackTick();
Enqueue(() =>
{
if (!webCamTextureToMatHelper.IsPlaying())
{
return;
}
if (displayCameraPreview && rgbMat4preview != null)
{
Utils.fastMatToTexture2D(rgbMat4preview, texture);
rgbMat4preview.Dispose();
}
if (applyEstimationPose)
{
if (hasUpdatedARTransformMatrix)
{
hasUpdatedARTransformMatrix = false;
lock (sync)
{
// Apply camera transform matrix.
ARM = cameraToWorldMatrix * invertZM * ARM;
if (enableLerpFilter)
{
arGameObject.SetMatrix4x4(ARM);
}
else
{
ARUtils.SetTransformFromMatrix(arGameObject.transform, ref ARM);
}
}
}
}
grayMat.Dispose();
});
isDetectingInFrameArrivedThread = false;
}
private void DetectMarkers()
{
Utils.texture2DToMat(imgTexture, rgbMat);
Debug.Log("imgMat dst ToString " + rgbMat.ToString());
gameObject.transform.localScale = new Vector3(imgTexture.width, imgTexture.height, 1);
Debug.Log("Screen.width " + Screen.width + " Screen.height " + Screen.height + " Screen.orientation " + Screen.orientation);
float width = rgbMat.width();
float height = rgbMat.height();
float imageSizeScale = 1.0f;
float widthScale = (float)Screen.width / width;
float heightScale = (float)Screen.height / height;
if (widthScale < heightScale)
{
Camera.main.orthographicSize = (width * (float)Screen.height / (float)Screen.width) / 2;
imageSizeScale = (float)Screen.height / (float)Screen.width;
}
else
{
Camera.main.orthographicSize = height / 2;
}
// set camera parameters.
int max_d = (int)Mathf.Max(width, height);
double fx = max_d;
double fy = max_d;
double cx = width / 2.0f;
double cy = height / 2.0f;
Mat camMatrix = new Mat(3, 3, CvType.CV_64FC1);
camMatrix.put(0, 0, fx);
camMatrix.put(0, 1, 0);
camMatrix.put(0, 2, cx);
camMatrix.put(1, 0, 0);
camMatrix.put(1, 1, fy);
camMatrix.put(1, 2, cy);
camMatrix.put(2, 0, 0);
camMatrix.put(2, 1, 0);
camMatrix.put(2, 2, 1.0f);
Debug.Log("camMatrix " + camMatrix.dump());
MatOfDouble distCoeffs = new MatOfDouble(0, 0, 0, 0);
Debug.Log("distCoeffs " + distCoeffs.dump());
// calibration camera matrix values.
Size imageSize = new Size(width * imageSizeScale, height * imageSizeScale);
double apertureWidth = 0;
double apertureHeight = 0;
double[] fovx = new double[1];
double[] fovy = new double[1];
double[] focalLength = new double[1];
Point principalPoint = new Point(0, 0);
double[] aspectratio = new double[1];
Calib3d.calibrationMatrixValues(camMatrix, imageSize, apertureWidth, apertureHeight, fovx, fovy, focalLength, principalPoint, aspectratio);
Debug.Log("imageSize " + imageSize.ToString());
Debug.Log("apertureWidth " + apertureWidth);
Debug.Log("apertureHeight " + apertureHeight);
Debug.Log("fovx " + fovx [0]);
Debug.Log("fovy " + fovy [0]);
Debug.Log("focalLength " + focalLength [0]);
Debug.Log("principalPoint " + principalPoint.ToString());
Debug.Log("aspectratio " + aspectratio [0]);
// To convert the difference of the FOV value of the OpenCV and Unity.
double fovXScale = (2.0 * Mathf.Atan((float)(imageSize.width / (2.0 * fx)))) / (Mathf.Atan2((float)cx, (float)fx) + Mathf.Atan2((float)(imageSize.width - cx), (float)fx));
double fovYScale = (2.0 * Mathf.Atan((float)(imageSize.height / (2.0 * fy)))) / (Mathf.Atan2((float)cy, (float)fy) + Mathf.Atan2((float)(imageSize.height - cy), (float)fy));
Debug.Log("fovXScale " + fovXScale);
Debug.Log("fovYScale " + fovYScale);
// Adjust Unity Camera FOV https://github.com/opencv/opencv/commit/8ed1945ccd52501f5ab22bdec6aa1f91f1e2cfd4
if (widthScale < heightScale)
{
arCamera.fieldOfView = (float)(fovx [0] * fovXScale);
}
else
{
arCamera.fieldOfView = (float)(fovy [0] * fovYScale);
}
// Display objects near the camera.
arCamera.nearClipPlane = 0.01f;
Mat ids = new Mat();
List <Mat> corners = new List <Mat> ();
List <Mat> rejectedCorners = new List <Mat> ();
Mat rvecs = new Mat();
Mat tvecs = new Mat();
Mat rotMat = new Mat(3, 3, CvType.CV_64FC1);
DetectorParameters detectorParams = DetectorParameters.create();
Dictionary dictionary = Aruco.getPredefinedDictionary((int)dictionaryId);
// detect markers.
Aruco.detectMarkers(rgbMat, dictionary, corners, ids, detectorParams, rejectedCorners, camMatrix, distCoeffs);
// if at least one marker detected
if (ids.total() > 0)
{
Aruco.drawDetectedMarkers(rgbMat, corners, ids, new Scalar(0, 255, 0));
// estimate pose.
if (applyEstimationPose)
{
Aruco.estimatePoseSingleMarkers(corners, markerLength, camMatrix, distCoeffs, rvecs, tvecs);
for (int i = 0; i < ids.total(); i++)
{
using (Mat rvec = new Mat(rvecs, new OpenCVForUnity.CoreModule.Rect(0, i, 1, 1)))
using (Mat tvec = new Mat(tvecs, new OpenCVForUnity.CoreModule.Rect(0, i, 1, 1))) {
// In this example we are processing with RGB color image, so Axis-color correspondences are X: blue, Y: green, Z: red. (Usually X: red, Y: green, Z: blue)
Aruco.drawAxis(rgbMat, camMatrix, distCoeffs, rvec, tvec, markerLength * 0.5f);
}
// This example can display the ARObject on only first detected marker.
if (i == 0)
{
// Get translation vector
double[] tvecArr = tvecs.get(i, 0);
// Get rotation vector
double[] rvecArr = rvecs.get(i, 0);
Mat rvec = new Mat(3, 1, CvType.CV_64FC1);
rvec.put(0, 0, rvecArr);
// Convert rotation vector to rotation matrix.
Calib3d.Rodrigues(rvec, rotMat);
double[] rotMatArr = new double[rotMat.total()];
rotMat.get(0, 0, rotMatArr);
// Convert OpenCV camera extrinsic parameters to Unity Matrix4x4.
Matrix4x4 transformationM = new Matrix4x4(); // from OpenCV
transformationM.SetRow(0, new Vector4((float)rotMatArr [0], (float)rotMatArr [1], (float)rotMatArr [2], (float)tvecArr [0]));
transformationM.SetRow(1, new Vector4((float)rotMatArr [3], (float)rotMatArr [4], (float)rotMatArr [5], (float)tvecArr [1]));
transformationM.SetRow(2, new Vector4((float)rotMatArr [6], (float)rotMatArr [7], (float)rotMatArr [8], (float)tvecArr [2]));
transformationM.SetRow(3, new Vector4(0, 0, 0, 1));
Debug.Log("transformationM " + transformationM.ToString());
Matrix4x4 invertYM = Matrix4x4.TRS(Vector3.zero, Quaternion.identity, new Vector3(1, -1, 1));
Debug.Log("invertYM " + invertYM.ToString());
// right-handed coordinates system (OpenCV) to left-handed one (Unity)
// https://stackoverflow.com/questions/30234945/change-handedness-of-a-row-major-4x4-transformation-matrix
Matrix4x4 ARM = invertYM * transformationM * invertYM;
if (shouldMoveARCamera)
{
ARM = arGameObject.transform.localToWorldMatrix * ARM.inverse;
Debug.Log("ARM " + ARM.ToString());
ARUtils.SetTransformFromMatrix(arCamera.transform, ref ARM);
}
else
{
ARM = arCamera.transform.localToWorldMatrix * ARM;
Debug.Log("ARM " + ARM.ToString());
ARUtils.SetTransformFromMatrix(arGameObject.transform, ref ARM);
}
}
}
}
}
if (showRejectedCorners && rejectedCorners.Count > 0)
{
Aruco.drawDetectedMarkers(rgbMat, rejectedCorners, new Mat(), new Scalar(255, 0, 0));
}
Utils.matToTexture2D(rgbMat, texture);
}
// Use this for initialization
void Start()
{
Mat rgbMat = new Mat(imgTexture.height, imgTexture.width, CvType.CV_8UC3);
Utils.texture2DToMat(imgTexture, rgbMat);
Debug.Log("imgMat dst ToString " + rgbMat.ToString());
gameObject.transform.localScale = new Vector3(imgTexture.width, imgTexture.height, 1);
Debug.Log("Screen.width " + Screen.width + " Screen.height " + Screen.height + " Screen.orientation " + Screen.orientation);
float width = rgbMat.width();
float height = rgbMat.height();
float imageSizeScale = 1.0f;
float widthScale = (float)Screen.width / width;
float heightScale = (float)Screen.height / height;
if (widthScale < heightScale)
{
Camera.main.orthographicSize = (width * (float)Screen.height / (float)Screen.width) / 2;
imageSizeScale = (float)Screen.height / (float)Screen.width;
}
else
{
Camera.main.orthographicSize = height / 2;
}
// set cameraparam.
int max_d = (int)Mathf.Max(width, height);
double fx = max_d;
double fy = max_d;
double cx = width / 2.0f;
double cy = height / 2.0f;
Mat camMatrix = new Mat(3, 3, CvType.CV_64FC1);
camMatrix.put(0, 0, fx);
camMatrix.put(0, 1, 0);
camMatrix.put(0, 2, cx);
camMatrix.put(1, 0, 0);
camMatrix.put(1, 1, fy);
camMatrix.put(1, 2, cy);
camMatrix.put(2, 0, 0);
camMatrix.put(2, 1, 0);
camMatrix.put(2, 2, 1.0f);
Debug.Log("camMatrix " + camMatrix.dump());
MatOfDouble distCoeffs = new MatOfDouble(0, 0, 0, 0);
Debug.Log("distCoeffs " + distCoeffs.dump());
// calibration camera.
Size imageSize = new Size(width * imageSizeScale, height * imageSizeScale);
double apertureWidth = 0;
double apertureHeight = 0;
double[] fovx = new double[1];
double[] fovy = new double[1];
double[] focalLength = new double[1];
Point principalPoint = new Point(0, 0);
double[] aspectratio = new double[1];
Calib3d.calibrationMatrixValues(camMatrix, imageSize, apertureWidth, apertureHeight, fovx, fovy, focalLength, principalPoint, aspectratio);
Debug.Log("imageSize " + imageSize.ToString());
Debug.Log("apertureWidth " + apertureWidth);
Debug.Log("apertureHeight " + apertureHeight);
Debug.Log("fovx " + fovx [0]);
Debug.Log("fovy " + fovy [0]);
Debug.Log("focalLength " + focalLength [0]);
Debug.Log("principalPoint " + principalPoint.ToString());
Debug.Log("aspectratio " + aspectratio [0]);
// To convert the difference of the FOV value of the OpenCV and Unity.
double fovXScale = (2.0 * Mathf.Atan((float)(imageSize.width / (2.0 * fx)))) / (Mathf.Atan2((float)cx, (float)fx) + Mathf.Atan2((float)(imageSize.width - cx), (float)fx));
double fovYScale = (2.0 * Mathf.Atan((float)(imageSize.height / (2.0 * fy)))) / (Mathf.Atan2((float)cy, (float)fy) + Mathf.Atan2((float)(imageSize.height - cy), (float)fy));
Debug.Log("fovXScale " + fovXScale);
Debug.Log("fovYScale " + fovYScale);
// Adjust Unity Camera FOV https://github.com/opencv/opencv/commit/8ed1945ccd52501f5ab22bdec6aa1f91f1e2cfd4
if (widthScale < heightScale)
{
ARCamera.fieldOfView = (float)(fovx [0] * fovXScale);
}
else
{
ARCamera.fieldOfView = (float)(fovy [0] * fovYScale);
}
Mat ids = new Mat();
List <Mat> corners = new List <Mat> ();
List <Mat> rejected = new List <Mat> ();
Mat rvecs = new Mat();
Mat tvecs = new Mat();
Mat rotMat = new Mat(3, 3, CvType.CV_64FC1);
DetectorParameters detectorParams = DetectorParameters.create();
Dictionary dictionary = Aruco.getPredefinedDictionary(dictionaryId);
// detect markers.
Aruco.detectMarkers(rgbMat, dictionary, corners, ids, detectorParams, rejected);
// estimate pose.
if (applyEstimationPose && ids.total() > 0)
{
Aruco.estimatePoseSingleMarkers(corners, markerLength, camMatrix, distCoeffs, rvecs, tvecs);
}
if (ids.total() > 0)
{
Aruco.drawDetectedMarkers(rgbMat, corners, ids, new Scalar(255, 0, 0));
if (applyEstimationPose)
{
for (int i = 0; i < ids.total(); i++)
{
// Debug.Log ("ids.dump() " + ids.dump ());
Aruco.drawAxis(rgbMat, camMatrix, distCoeffs, rvecs, tvecs, markerLength * 0.5f);
// This example can display ARObject on only first detected marker.
if (i == 0)
{
// position
double[] tvec = tvecs.get(i, 0);
// rotation
double[] rv = rvecs.get(i, 0);
Mat rvec = new Mat(3, 1, CvType.CV_64FC1);
rvec.put(0, 0, rv[0]);
rvec.put(1, 0, rv[1]);
rvec.put(2, 0, rv[2]);
Calib3d.Rodrigues(rvec, rotMat);
Matrix4x4 transformationM = new Matrix4x4(); // from OpenCV
transformationM.SetRow(0, new Vector4((float)rotMat.get(0, 0) [0], (float)rotMat.get(0, 1) [0], (float)rotMat.get(0, 2) [0], (float)tvec [0]));
transformationM.SetRow(1, new Vector4((float)rotMat.get(1, 0) [0], (float)rotMat.get(1, 1) [0], (float)rotMat.get(1, 2) [0], (float)tvec [1]));
transformationM.SetRow(2, new Vector4((float)rotMat.get(2, 0) [0], (float)rotMat.get(2, 1) [0], (float)rotMat.get(2, 2) [0], (float)tvec [2]));
transformationM.SetRow(3, new Vector4(0, 0, 0, 1));
Debug.Log("transformationM " + transformationM.ToString());
Matrix4x4 invertZM = Matrix4x4.TRS(Vector3.zero, Quaternion.identity, new Vector3(1, 1, -1));
Debug.Log("invertZM " + invertZM.ToString());
Matrix4x4 invertYM = Matrix4x4.TRS(Vector3.zero, Quaternion.identity, new Vector3(1, -1, 1));
Debug.Log("invertYM " + invertYM.ToString());
// right-handed coordinates system (OpenCV) to left-handed one (Unity)
Matrix4x4 ARM = invertYM * transformationM;
// Apply Z axis inverted matrix.
ARM = ARM * invertZM;
if (shouldMoveARCamera)
{
ARM = ARGameObject.transform.localToWorldMatrix * ARM.inverse;
Debug.Log("ARM " + ARM.ToString());
ARUtils.SetTransformFromMatrix(ARCamera.transform, ref ARM);
}
else
{
ARM = ARCamera.transform.localToWorldMatrix * ARM;
Debug.Log("ARM " + ARM.ToString());
ARUtils.SetTransformFromMatrix(ARGameObject.transform, ref ARM);
}
}
}
}
}
if (showRejected && rejected.Count > 0)
{
Aruco.drawDetectedMarkers(rgbMat, rejected, new Mat(), new Scalar(0, 0, 255));
}
Texture2D texture = new Texture2D(rgbMat.cols(), rgbMat.rows(), TextureFormat.RGBA32, false);
Utils.matToTexture2D(rgbMat, texture);
gameObject.GetComponent <Renderer> ().material.mainTexture = texture;
}
// Update is called once per frame
void Update()
{
if (webCamTextureToMatHelper.IsPlaying() && webCamTextureToMatHelper.DidUpdateThisFrame())
{
Mat rgbaMat = webCamTextureToMatHelper.GetMat();
Imgproc.cvtColor(rgbaMat, rgbMat, Imgproc.COLOR_RGBA2RGB);
// detect markers.
Aruco.detectMarkers(rgbMat, dictionary, corners, ids, detectorParams, rejected);
// estimate pose.
if (applyEstimationPose && ids.total() > 0)
{
Aruco.estimatePoseSingleMarkers(corners, markerLength, camMatrix, distCoeffs, rvecs, tvecs);
}
if (ids.total() > 0)
{
Aruco.drawDetectedMarkers(rgbMat, corners, ids, new Scalar(255, 0, 0));
if (applyEstimationPose)
{
for (int i = 0; i < ids.total(); i++)
{
Aruco.drawAxis(rgbMat, camMatrix, distCoeffs, rvecs, tvecs, markerLength * 0.5f);
// This example can display ARObject on only first detected marker.
if (i == 0)
{
// position
double[] tvec = tvecs.get(i, 0);
// rotation
double[] rv = rvecs.get(i, 0);
Mat rvec = new Mat(3, 1, CvType.CV_64FC1);
rvec.put(0, 0, rv [0]);
rvec.put(1, 0, rv [1]);
rvec.put(2, 0, rv [2]);
Calib3d.Rodrigues(rvec, rotMat);
transformationM.SetRow(0, new Vector4((float)rotMat.get(0, 0) [0], (float)rotMat.get(0, 1) [0], (float)rotMat.get(0, 2) [0], (float)tvec [0]));
transformationM.SetRow(1, new Vector4((float)rotMat.get(1, 0) [0], (float)rotMat.get(1, 1) [0], (float)rotMat.get(1, 2) [0], (float)tvec [1]));
transformationM.SetRow(2, new Vector4((float)rotMat.get(2, 0) [0], (float)rotMat.get(2, 1) [0], (float)rotMat.get(2, 2) [0], (float)tvec [2]));
transformationM.SetRow(3, new Vector4(0, 0, 0, 1));
// right-handed coordinates system (OpenCV) to left-handed one (Unity)
ARM = invertYM * transformationM;
// Apply Z axis inverted matrix.
ARM = ARM * invertZM;
if (shouldMoveARCamera)
{
ARM = ARGameObject.transform.localToWorldMatrix * ARM.inverse;
ARUtils.SetTransformFromMatrix(ARCamera.transform, ref ARM);
}
else
{
ARM = ARCamera.transform.localToWorldMatrix * ARM;
ARUtils.SetTransformFromMatrix(ARGameObject.transform, ref ARM);
}
}
}
}
}
if (showRejected && rejected.Count > 0)
{
Aruco.drawDetectedMarkers(rgbMat, rejected, new Mat(), new Scalar(0, 0, 255));
}
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(rgbMat, texture, webCamTextureToMatHelper.GetBufferColors());
}
}
// Update is called once per frame
void Update()
{
if (webCamTextureToMatHelper.IsPlaying() && webCamTextureToMatHelper.DidUpdateThisFrame())
{
Mat rgbaMat = webCamTextureToMatHelper.GetMat();
Imgproc.cvtColor(rgbaMat, rgbMat, Imgproc.COLOR_RGBA2RGB);
// detect markers and estimate pose
Aruco.detectMarkers(rgbMat, dictionary, corners, ids, detectorParams, rejected);
// Aruco.detectMarkers (imgMat, dictionary, corners, ids);
if (estimatePose && ids.total() > 0)
{
Aruco.estimatePoseSingleMarkers(corners, markerLength, camMatrix, distCoeffs, rvecs, tvecs);
}
// draw results
if (ids.total() > 0)
{
Aruco.drawDetectedMarkers(rgbMat, corners, ids, new Scalar(255, 0, 0));
if (estimatePose)
{
for (int i = 0; i < ids.total(); i++)
{
Aruco.drawAxis(rgbMat, camMatrix, distCoeffs, rvecs, tvecs, markerLength * 0.5f);
//This example can display ARObject on only first detected marker.
if (i == 0)
{
// position
double[] tvec = tvecs.get(i, 0);
Vector4 pos = new Vector4((float)tvec [0], (float)tvec [1], (float)tvec [2], 0); // from OpenCV
// right-handed coordinates system (OpenCV) to left-handed one (Unity)
ARGameObject.transform.localPosition = new Vector3(pos.x, -pos.y, pos.z);
// rotation
double[] rv = rvecs.get(i, 0);
Mat rvec = new Mat(3, 1, CvType.CV_64FC1);
rvec.put(0, 0, rv[0]);
rvec.put(1, 0, rv[1]);
rvec.put(2, 0, rv[2]);
Calib3d.Rodrigues(rvec, rotMat);
Vector3 forward = new Vector3((float)rotMat.get(0, 2) [0], (float)rotMat.get(1, 2) [0], (float)rotMat.get(2, 2) [0]); // from OpenCV
Vector3 up = new Vector3((float)rotMat.get(0, 1) [0], (float)rotMat.get(1, 1) [0], (float)rotMat.get(2, 1) [0]); // from OpenCV
// right-handed coordinates system (OpenCV) to left-handed one (Unity)
Quaternion rot = Quaternion.LookRotation(new Vector3(forward.x, -forward.y, forward.z), new Vector3(up.x, -up.y, up.z));
ARGameObject.transform.localRotation = rot;
// Apply Z axis inverted matrix.
invertZM = Matrix4x4.TRS(Vector3.zero, Quaternion.identity, new Vector3(1, 1, -1));
transformationM = ARGameObject.transform.localToWorldMatrix * invertZM;
// Apply camera transform matrix.
transformationM = ARCamera.transform.localToWorldMatrix * transformationM;
ARUtils.SetTransformFromMatrix(ARGameObject.transform, ref transformationM);
}
}
}
}
if (showRejected && rejected.Count > 0)
{
Aruco.drawDetectedMarkers(rgbMat, rejected, new Mat(), new Scalar(0, 0, 255));
}
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(rgbMat, texture, webCamTextureToMatHelper.GetBufferColors());
}
}
// Update is called once per frame
void Update()
{
if (webCamTextureToMatHelper.isPlaying() && webCamTextureToMatHelper.didUpdateThisFrame())
{
Mat rgbaMat = webCamTextureToMatHelper.GetMat();
Imgproc.cvtColor(rgbaMat, rgbMat, Imgproc.COLOR_RGBA2RGB);
// detect markers and estimate pose
Aruco.detectMarkers(rgbMat, dictionary, corners, ids, detectorParams, rejected);
// Aruco.detectMarkers (imgMat, dictionary, corners, ids);
if (estimatePose && ids.total() > 0)
{
Aruco.estimatePoseSingleMarkers(corners, markerLength, camMatrix, distCoeffs, rvecs, tvecs);
}
// draw results
if (ids.total() > 0)
{
Aruco.drawDetectedMarkers(rgbMat, corners, ids, new Scalar(255, 0, 0));
if (estimatePose)
{
for (int i = 0; i < ids.total(); i++)
{
Aruco.drawAxis(rgbMat, camMatrix, distCoeffs, rvecs, tvecs, markerLength * 0.5f);
//This sample can display ARObject on only first detected marker.
if (i == 0)
{
Calib3d.Rodrigues(rvecs, rotMat);
transformationM.SetRow(0, new Vector4((float)rotMat.get(0, 0) [0], (float)rotMat.get(0, 1) [0], (float)rotMat.get(0, 2) [0], (float)tvecs.get(0, 0) [0]));
transformationM.SetRow(1, new Vector4((float)rotMat.get(1, 0) [0], (float)rotMat.get(1, 1) [0], (float)rotMat.get(1, 2) [0], (float)tvecs.get(0, 0) [1]));
transformationM.SetRow(2, new Vector4((float)rotMat.get(2, 0) [0], (float)rotMat.get(2, 1) [0], (float)rotMat.get(2, 2) [0], (float)tvecs.get(0, 0) [2]));
transformationM.SetRow(3, new Vector4(0, 0, 0, 1));
if (shouldMoveARCamera)
{
ARM = ARGameObject.transform.localToWorldMatrix * invertZM * transformationM.inverse * invertYM;
// Debug.Log ("ARM " + ARM.ToString ());
ARUtils.SetTransformFromMatrix(ARCamera.transform, ref ARM);
}
else
{
ARM = ARCamera.transform.localToWorldMatrix * invertYM * transformationM * invertZM;
// Debug.Log ("ARM " + ARM.ToString ());
ARUtils.SetTransformFromMatrix(ARGameObject.transform, ref ARM);
}
}
}
}
}
if (showRejected && rejected.Count > 0)
{
Aruco.drawDetectedMarkers(rgbMat, rejected, new Mat(), new Scalar(0, 0, 255));
}
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(rgbMat, texture, webCamTextureToMatHelper.GetBufferColors());
}
}
public List <ZOArucoTrackerDetection> DetectMarkers(Mat rgbMat)
{
List <ZOArucoTrackerDetection> results = new List <ZOArucoTrackerDetection>();
// Debug.Log("imgMat dst ToString " + rgbMat.ToString());
float width = rgbMat.width();
float height = rgbMat.height();
float imageSizeScale = 1.0f;
float widthScale = (float)Screen.width / width;
float heightScale = (float)Screen.height / height;
if (widthScale < heightScale)
{
// Camera.main.orthographicSize = (width * (float)Screen.height / (float)Screen.width) / 2;
imageSizeScale = (float)Screen.height / (float)Screen.width;
}
else
{
// Camera.main.orthographicSize = height / 2;
}
// set camera parameters.
int max_d = (int)Mathf.Max(width, height);
double fx = max_d;
double fy = max_d;
double cx = width / 2.0f;
double cy = height / 2.0f;
Mat camMatrix = new Mat(3, 3, CvType.CV_64FC1);
camMatrix.put(0, 0, fx);
camMatrix.put(0, 1, 0);
camMatrix.put(0, 2, cx);
camMatrix.put(1, 0, 0);
camMatrix.put(1, 1, fy);
camMatrix.put(1, 2, cy);
camMatrix.put(2, 0, 0);
camMatrix.put(2, 1, 0);
camMatrix.put(2, 2, 1.0f);
// Debug.Log("camMatrix " + camMatrix.dump());
MatOfDouble distCoeffs = new MatOfDouble(0, 0, 0, 0);
// Debug.Log("distCoeffs " + distCoeffs.dump());
// calibration camera matrix values.
Size imageSize = new Size(width * imageSizeScale, height * imageSizeScale);
double apertureWidth = 0;
double apertureHeight = 0;
double[] fovx = new double[1];
double[] fovy = new double[1];
double[] focalLength = new double[1];
Point principalPoint = new Point(0, 0);
double[] aspectratio = new double[1];
Calib3d.calibrationMatrixValues(camMatrix, imageSize, apertureWidth, apertureHeight, fovx, fovy, focalLength, principalPoint, aspectratio);
// Debug.Log("imageSize " + imageSize.ToString());
// Debug.Log("apertureWidth " + apertureWidth);
// Debug.Log("apertureHeight " + apertureHeight);
// Debug.Log("fovx " + fovx[0]);
// Debug.Log("fovy " + fovy[0]);
// Debug.Log("focalLength " + focalLength[0]);
// Debug.Log("principalPoint " + principalPoint.ToString());
// Debug.Log("aspectratio " + aspectratio[0]);
// To convert the difference of the FOV value of the OpenCV and Unity.
double fovXScale = (2.0 * Mathf.Atan((float)(imageSize.width / (2.0 * fx)))) / (Mathf.Atan2((float)cx, (float)fx) + Mathf.Atan2((float)(imageSize.width - cx), (float)fx));
double fovYScale = (2.0 * Mathf.Atan((float)(imageSize.height / (2.0 * fy)))) / (Mathf.Atan2((float)cy, (float)fy) + Mathf.Atan2((float)(imageSize.height - cy), (float)fy));
// Debug.Log("fovXScale " + fovXScale);
// Debug.Log("fovYScale " + fovYScale);
Mat ids = new Mat();
List <Mat> corners = new List <Mat>();
List <Mat> rejectedCorners = new List <Mat>();
Mat rvecs = new Mat();
Mat tvecs = new Mat();
Mat rotMat = new Mat(3, 3, CvType.CV_64FC1);
DetectorParameters detectorParams = DetectorParameters.create();
Dictionary dictionary = Aruco.getPredefinedDictionary((int)dictionaryId);
// detect markers.
Aruco.detectMarkers(rgbMat, dictionary, corners, ids, detectorParams, rejectedCorners, camMatrix, distCoeffs);
// Debug.Log("INFO: Number of markers detected: " + ids.total());
// if at least one marker detected
if (ids.total() > 0)
{
if (_debug)
{
Aruco.drawDetectedMarkers(rgbMat, corners, ids, new Scalar(0, 255, 0));
}
// estimate pose.
Aruco.estimatePoseSingleMarkers(corners, _markerLengthMeters, camMatrix, distCoeffs, rvecs, tvecs);
for (int i = 0; i < ids.total(); i++)
{
// Get translation vector
double[] tvecArr = tvecs.get(i, 0);
// Get rotation vector
double[] rvecArr = rvecs.get(i, 0);
Mat rvec = new Mat(3, 1, CvType.CV_64FC1);
rvec.put(0, 0, rvecArr);
// Convert rotation vector to rotation matrix.
Calib3d.Rodrigues(rvec, rotMat);
double[] rotMatArr = new double[rotMat.total()];
rotMat.get(0, 0, rotMatArr);
// Convert OpenCV camera extrinsic parameters to Unity Matrix4x4.
Matrix4x4 transformationM = new Matrix4x4(); // from OpenCV
transformationM.SetRow(0, new Vector4((float)rotMatArr[0], (float)rotMatArr[1], (float)rotMatArr[2], (float)tvecArr[0]));
transformationM.SetRow(1, new Vector4((float)rotMatArr[3], (float)rotMatArr[4], (float)rotMatArr[5], (float)tvecArr[1]));
transformationM.SetRow(2, new Vector4((float)rotMatArr[6], (float)rotMatArr[7], (float)rotMatArr[8], (float)tvecArr[2]));
transformationM.SetRow(3, new Vector4(0, 0, 0, 1));
// Debug.Log("transformationM " + transformationM.ToString());
ZOArucoTrackerDetection detection = new ZOArucoTrackerDetection();
int [] currentId = new int[1];
// ids.get(0, i, currentId);
ids.get(i, 0, currentId);
detection.arucoId = currentId[0];
detection.transform = transformationM;
results.Add(detection);
}
}
return(results);
}
private void ARUcoDetect()
{
if (DOWNSCALE_RATIO == 1)
{
downScaleRgbaMat = rgbaMat4Thread;
}
else
{
Imgproc.resize(rgbaMat4Thread, downScaleRgbaMat, new Size(), 1.0 / DOWNSCALE_RATIO, 1.0 / DOWNSCALE_RATIO, Imgproc.INTER_LINEAR);
}
Imgproc.cvtColor(downScaleRgbaMat, rgbMat, Imgproc.COLOR_RGBA2RGB);
// Detect markers and estimate Pose
Aruco.detectMarkers(rgbMat, dictionary, corners, ids, detectorParams, rejected);
if (estimatePose && ids.total() > 0)
{
Aruco.estimatePoseSingleMarkers(corners, markerLength, camMatrix, distCoeffs, rvecs, tvecs);
for (int i = 0; i < ids.total(); i++)
{
//This example can display ARObject on only first detected marker.
if (i == 0)
{
// Position
double[] tvec = tvecs.get(i, 0);
// Rotation
double[] rv = rvecs.get(i, 0);
Mat rvec = new Mat(3, 1, CvType.CV_64FC1);
rvec.put(0, 0, rv [0]);
rvec.put(1, 0, rv [1]);
rvec.put(2, 0, rv [2]);
Calib3d.Rodrigues(rvec, rotMat);
transformationM.SetRow(0, new Vector4((float)rotMat.get(0, 0) [0], (float)rotMat.get(0, 1) [0], (float)rotMat.get(0, 2) [0], (float)tvec [0]));
transformationM.SetRow(1, new Vector4((float)rotMat.get(1, 0) [0], (float)rotMat.get(1, 1) [0], (float)rotMat.get(1, 2) [0], (float)tvec [1]));
transformationM.SetRow(2, new Vector4((float)rotMat.get(2, 0) [0], (float)rotMat.get(2, 1) [0], (float)rotMat.get(2, 2) [0], (float)(tvec [2] / DOWNSCALE_RATIO)));
transformationM.SetRow(3, new Vector4(0, 0, 0, 1));
// Right-handed coordinates system (OpenCV) to left-handed one (Unity)
ARM = invertYM * transformationM;
// Apply Z axis inverted matrix.
ARM = ARM * invertZM;
ARTransMatrixUpdated = true;
break;
}
}
}
/*
* // Draw results
* if (ids.total () > 0) {
* Aruco.drawDetectedMarkers (rgbMat, corners, ids, new Scalar (255, 0, 0));
*
* if (estimatePose) {
* for (int i = 0; i < ids.total (); i++) {
* Aruco.drawAxis (rgbMat, camMatrix, distCoeffs, rvecs, tvecs, markerLength * 0.5f);
* }
* }
* }
*/
}
void OnRenderObject()
{
if (pointCloudVisualizer == null)
{
return;
}
if (vertices == null || uintColorData == null)
{
return;
}
pointCloudBuffer.SetData(vertices);
colorBuffer.SetData(uintColorData);
pointCloudVisualizer.SetBuffer("_PointCloudData", pointCloudBuffer);
pointCloudVisualizer.SetBuffer("_ColorData", colorBuffer);
//Aruco
if (applyAruco)
{
//transformation Matrix is static
if (isStatic)
{
//using earlier frames, decide transformationM
if (!matrixCofigured)
{
while (frameCount > 0)
{
imgTexture.LoadRawTextureData(byteColorData);
Utils.texture2DToMat(imgTexture, rgbMat);
//Upside down
Core.flip(rgbMat, rgbMat, 0);
Aruco.detectMarkers(rgbMat, dictionary, corners, ids, detectorParams, rejected, camMatrix, distCoeffs);
if (ids.total() == 1)
{
Debug.Log("detected");
frameCount--;
}
}
Aruco.estimatePoseSingleMarkers(corners, markerLength, camMatrix, distCoeffs, rvecs, tvecs);
// position
tvec = tvecs.get(0, 0);
// rotation
rvec = new Mat(rvecs, range, range);
Calib3d.Rodrigues(rvec, rotMat);
//from marker coordinate(opencv) to camera coordinate(opencv)
transformationM.SetRow(0, new Vector4((float)rotMat.get(0, 0)[0], (float)rotMat.get(0, 1)[0], (float)rotMat.get(0, 2)[0], (float)tvec[0]));
transformationM.SetRow(1, new Vector4((float)rotMat.get(1, 0)[0], (float)rotMat.get(1, 1)[0], (float)rotMat.get(1, 2)[0], (float)tvec[1]));
transformationM.SetRow(2, new Vector4((float)rotMat.get(2, 0)[0], (float)rotMat.get(2, 1)[0], (float)rotMat.get(2, 2)[0], (float)tvec[2]));
transformationM.SetRow(3, new Vector4(0, 0, 0, 1));
// right-handed coordinates system (OpenCV) to left-handed one (Unity)
// from camera coordinate(opencv) to camera coordinate(unity)
transformationM = invertYM * transformationM;
// Apply Z axis inverted matrix.
// from marker coordinate(Unity) to camera coordinate(Unity)
transformationM = transformationM * invertZM;
//from camera coordinate(unity) to marker coordinate(unity)
//rotate 90 degrees around the x-axis(alignM)
//from marker coordinate(unity) to world coordinate(unity)
transformationM = markerOrigin.transform.localToWorldMatrix * alignM * transformationM.inverse;
//transformationM: the matrix which transforms camera coordinate(unity) into world coordinate(unity)
//move RealSense model
ARUtils.SetTransformFromMatrix(viewCamera.transform, ref transformationM);
matrixCofigured = true;
Debug.Log("Transformation Matrix is configured");
if (drawMesh)
{
meshDrawer.draw(corners, vertices, ref transformationM, width, markerLength);
}
}
}
else
{
imgTexture.LoadRawTextureData(byteColorData);
Utils.texture2DToMat(imgTexture, rgbMat);
Core.flip(rgbMat, rgbMat, 0);
Aruco.detectMarkers(rgbMat, dictionary, corners, ids, detectorParams, rejected, camMatrix, distCoeffs);
if (ids.total() > 0)
{
Debug.Log("detected: " + ids.total());
Aruco.estimatePoseSingleMarkers(corners, markerLength, camMatrix, distCoeffs, rvecs, tvecs);
// position
tvec = tvecs.get(0, 0);
// rotation
rvec = new Mat(rvecs, range, range);
Calib3d.Rodrigues(rvec, rotMat);
transformationM.SetRow(0, new Vector4((float)rotMat.get(0, 0)[0], (float)rotMat.get(0, 1)[0], (float)rotMat.get(0, 2)[0], (float)tvec[0]));
transformationM.SetRow(1, new Vector4((float)rotMat.get(1, 0)[0], (float)rotMat.get(1, 1)[0], (float)rotMat.get(1, 2)[0], (float)tvec[1]));
transformationM.SetRow(2, new Vector4((float)rotMat.get(2, 0)[0], (float)rotMat.get(2, 1)[0], (float)rotMat.get(2, 2)[0], (float)tvec[2]));
transformationM.SetRow(3, new Vector4(0, 0, 0, 1));
transformationM = invertYM * transformationM;
transformationM = transformationM * invertZM;
transformationM = markerOrigin.transform.localToWorldMatrix * alignM * transformationM.inverse;
ARUtils.SetTransformFromMatrix(viewCamera.transform, ref transformationM);
}
}
}
else
{
transformationM = Matrix4x4.TRS(viewCamera.transform.position, viewCamera.transform.rotation, viewCamera.transform.lossyScale);
}
pointCloudVisualizer.SetMatrix("_transformationM", transformationM);
trs = Matrix4x4.TRS(transform.position, transform.rotation, transform.lossyScale);
pointCloudVisualizer.SetMatrix("_trs", trs);
pointCloudVisualizer.SetPass(0);
Graphics.DrawProcedural(MeshTopology.Points, dataLength);
}
public void OnFrameMatAcquired(Mat bgraMat, Matrix4x4 projectionMatrix, Matrix4x4 cameraToWorldMatrix)
{
downScaleFrameMat = imageOptimizationHelper.GetDownScaleMat(bgraMat);
if (enableDetection)
{
Imgproc.cvtColor(downScaleFrameMat, grayMat, Imgproc.COLOR_BGRA2GRAY);
// Detect markers and estimate Pose
Aruco.detectMarkers(grayMat, dictionary, corners, ids, detectorParams, rejectedCorners, camMatrix, distCoeffs);
if (applyEstimationPose && ids.total() > 0)
{
Aruco.estimatePoseSingleMarkers(corners, markerLength, camMatrix, distCoeffs, rvecs, tvecs);
for (int i = 0; i < ids.total(); i++)
{
//This example can display ARObject on only first detected marker.
if (i == 0)
{
// Convert to unity pose data.
double[] rvecArr = new double[3];
rvecs.get(0, 0, rvecArr);
double[] tvecArr = new double[3];
tvecs.get(0, 0, tvecArr);
tvecArr[2] /= imageOptimizationHelper.downscaleRatio;
PoseData poseData = ARUtils.ConvertRvecTvecToPoseData(rvecArr, tvecArr);
// Changes in pos/rot below these thresholds are ignored.
if (enableLowPassFilter)
{
ARUtils.LowpassPoseData(ref oldPoseData, ref poseData, positionLowPass, rotationLowPass);
}
oldPoseData = poseData;
// Create transform matrix.
transformationM = Matrix4x4.TRS(poseData.pos, poseData.rot, Vector3.one);
lock (sync){
// Right-handed coordinates system (OpenCV) to left-handed one (Unity)
ARM = invertYM * transformationM;
// Apply Z-axis inverted matrix.
ARM = ARM * invertZM;
}
hasUpdatedARTransformMatrix = true;
break;
}
}
}
}
Mat rgbMat4preview = null;
if (displayCameraPreview)
{
rgbMat4preview = new Mat();
Imgproc.cvtColor(downScaleFrameMat, rgbMat4preview, Imgproc.COLOR_BGRA2RGB);
if (ids.total() > 0)
{
Aruco.drawDetectedMarkers(rgbMat4preview, corners, ids, new Scalar(0, 255, 0));
if (applyEstimationPose)
{
for (int i = 0; i < ids.total(); i++)
{
using (Mat rvec = new Mat(rvecs, new OpenCVForUnity.Rect(0, i, 1, 1)))
using (Mat tvec = new Mat(tvecs, new OpenCVForUnity.Rect(0, i, 1, 1))) {
// In this example we are processing with RGB color image, so Axis-color correspondences are X: blue, Y: green, Z: red. (Usually X: red, Y: green, Z: blue)
Aruco.drawAxis(rgbMat4preview, camMatrix, distCoeffs, rvec, tvec, markerLength * 0.5f);
}
}
}
}
}
UnityEngine.WSA.Application.InvokeOnAppThread(() => {
if (!webCamTextureToMatHelper.IsPlaying())
{
return;
}
if (displayCameraPreview && rgbMat4preview != null)
{
OpenCVForUnity.Utils.fastMatToTexture2D(rgbMat4preview, texture);
}
if (applyEstimationPose)
{
if (hasUpdatedARTransformMatrix)
{
hasUpdatedARTransformMatrix = false;
lock (sync){
// Apply camera transform matrix.
ARM = cameraToWorldMatrix * invertZM * ARM;
ARUtils.SetTransformFromMatrix(arGameObject.transform, ref ARM);
}
}
}
bgraMat.Dispose();
if (rgbMat4preview != null)
{
rgbMat4preview.Dispose();
}
}, false);
}
/// <summary>
/// Looks for markers in the most recent ZED image, and updates all registered MarkerObjects accordingly.
/// </summary>
private void ImageUpdated(Camera cam, Mat camMat, Mat iamgeMat)
{
Dictionary predict = Aruco.getPredefinedDictionary((int)markerDictionary); //Load the selected pre-defined dictionary.
//Create empty structures to hold the output of Aruco.detectMarkers.
List <Mat> corners = new List <Mat>();
Mat ids = new Mat();
DetectorParameters detectparams = DetectorParameters.create();
List <Mat> rejectedpoints = new List <Mat>(); //There is no overload for detectMarkers that will take camMat without this also.
//Call OpenCV to tell us which markers were detected, and give their 2D positions.
Aruco.detectMarkers(iamgeMat, predict, corners, ids, detectparams, rejectedpoints, camMat);
//Make matrices to hold the output rotations and translations of each detected marker.
Mat rotvectors = new Mat();
Mat transvectors = new Mat();
//Convert the 2D corner positions into a 3D pose for each detected marker.
Aruco.estimatePoseSingleMarkers(corners, markerWidthMeters, camMat, new Mat(), rotvectors, transvectors);
//Now we have ids, rotvectors and transvectors, which are all vertical arrays holding info about each detection:
// - ids: An Nx1 array (N = number of markers detected) where each slot is the ID of a detected marker in the dictionary.
// - rotvectors: An Nx3 array where each row is for an individual detection: The first row is the rotation of the marker
// listed in the first row of ids, etc. The columns are the X, Y and Z angles of that marker's rotation, BUT they are not
// directly usable in Unity because they're calculated very differetly. We'll deal with that soon.
// - transvectors: An Nx1 array like rotvectors with each row corresponding to a detected marker, with a double[3] array with the X, Y and Z positions.
// positions. These three values are usable in Unity - they're just relative to the camera, not the world, which is easy to fix.
//Convert matrix of IDs into a List, to simply things for those not familiar with using Matrices.
List <int> detectedIDs = new List <int>();
for (int i = 0; i < ids.height(); i++)
{
int id = (int)ids.get(i, 0)[0];
if (!detectedIDs.Contains(id))
{
detectedIDs.Add(id);
}
}
//We'll go through every ID that's been registered into registered Markers, and see if we found any markers in the scene with that ID.
Dictionary <int, List <sl.Pose> > detectedWorldPoses = new Dictionary <int, List <sl.Pose> >(); //Key is marker ID, value is world space poses.
//foreach (int id in registeredMarkers.Keys)
for (int index = 0; index < transvectors.rows(); index++)
{
int id = (int)ids.get(index, 0)[0];
if (!registeredMarkers.ContainsKey(id) || registeredMarkers[id].Count == 0)
{
continue; //Don't waste time if the list is empty. Can happen if markers are added, then removed.
}
if (detectedIDs.Contains(id)) //At least one MarkerObject needs to be updated. Convert pose to world space and call MarkerDetected() on it.
{
//Translation is just pose relative to camera. But we need to flip Y because of OpenCV's different coordinate system.
Vector3 localpos;
localpos.x = (float)transvectors.get(index, 0)[0];
localpos.y = -(float)transvectors.get(index, 0)[1];
localpos.z = (float)transvectors.get(index, 0)[2];
Vector3 worldpos = cam.transform.TransformPoint(localpos); //Convert from local to world space.
//Because of different coordinate frame, we need to flip the Y direction, which is pointing down instead of up.
//We need to do this before we calculate the 3x3 rotation matrix soon, as that makes it muuuch harder to work with.
double[] flip = rotvectors.get(index, 0);
flip[1] = -flip[1];
rotvectors.put(index, 0, flip);
//Convert this rotation vector to a 3x3 matrix, which will hold values we can use in Unity.
Mat rotmatrix = new Mat();
Calib3d.Rodrigues(rotvectors.row(index), rotmatrix);
//This new 3x3 matrix holds a vector pointing right in the first column, a vector pointing up in the second,
//and a vector pointing forward in the third column. Rows 0, 1 and 2 are the X, Y and Z values of each vector.
//We'll grab the forward and up vectors, which we can put into Quaternion.LookRotation() to get a representative Quaternion.
Vector3 forward;
forward.x = (float)rotmatrix.get(2, 0)[0];
forward.y = (float)rotmatrix.get(2, 1)[0];
forward.z = (float)rotmatrix.get(2, 2)[0];
Vector3 up;
up.x = (float)rotmatrix.get(1, 0)[0];
up.y = (float)rotmatrix.get(1, 1)[0];
up.z = (float)rotmatrix.get(1, 2)[0];
Quaternion rot = Quaternion.LookRotation(forward, up);
//Compensate for flip on Z axis.
rot *= Quaternion.Euler(0, 0, 180);
//Convert from local space to world space by multiplying the camera's world rotation with it.
Quaternion worldrot = cam.transform.rotation * rot;
if (!detectedWorldPoses.ContainsKey(id))
{
detectedWorldPoses.Add(id, new List <sl.Pose>());
}
detectedWorldPoses[id].Add(new sl.Pose()
{
translation = worldpos, rotation = worldrot
});
foreach (MarkerObject marker in registeredMarkers[id])
{
marker.MarkerDetectedSingle(worldpos, worldrot);
}
}
}
//Call the event that gives all marker world poses, if any listeners.
if (OnMarkersDetected != null)
{
OnMarkersDetected.Invoke(detectedWorldPoses);
}
//foreach (int detectedid in detectedWorldPoses.Keys)
foreach (int key in registeredMarkers.Keys)
{
if (detectedWorldPoses.ContainsKey(key))
{
foreach (MarkerObject marker in registeredMarkers[key])
{
marker.MarkerDetectedAll(detectedWorldPoses[key]);
}
}
else
{
foreach (MarkerObject marker in registeredMarkers[key])
{
marker.MarkerNotDetected();
}
}
}
}
