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- #if ZED_OPENCV_FOR_UNITY
- using System.Collections;
- using System.Collections.Generic;
- using UnityEngine;
- using OpenCVForUnity.CoreModule;
- using OpenCVForUnity.ArucoModule;
- using OpenCVForUnity.UnityUtils;
- using OpenCVForUnity.Calib3dModule;
- /// <summary>
- /// Whenever the ZED grabs/captures an image, uses OpenCV to detect ArUCO markers, calculates their
- /// world positions and rotations, and uses them to call the appropriate functions on any MarkerObject components in the scene.
- /// </summary>
- public class ZEDArUcoDetectionManager : MonoBehaviour
- {
- /// <summary>
- /// Scene's ZEDToOpenCVRetriever, which creates OpenCV mats and deploys events each time the ZED grabs an image.
- /// It's how we get the image and required matrices that we use to look for markers.
- /// </summary>
- public ZEDToOpenCVRetriever imageRetriever;
- /// <summary>
- /// Physical width of the printed ArUco markers.
- /// Used to find the proper world position of the markers, so make sure this is accurate.
- /// </summary>
- [Tooltip("Physical width of the printed ArUco markers.\r\n" +
- "Used to find the proper world position of the markers, so make sure this is accurate.")]
- public float markerWidthMeters = 0.2f;
- /// <summary>
- /// Pre-defined OpenCV dictionary of marker images used to identify markers in the scene.
- /// Note that images included in this project in the Resources folder are from the DICT_4X4 ones.
- /// See: https://docs.opencv.org/trunk/d9/d6a/group__aruco.html#gaf5d7e909fe8ff2ad2108e354669ecd17
- /// You can access any of the pre-defined dictionaries via this project: https://github.com/okalachev/arucogen
- /// </summary>
- [Tooltip("Pre-defined OpenCV dictionary of marker images used to identify markers in the scene.\r\n" +
- "Note that images included in this project in the Resources folder are from the DICT_4X4 ones.")]
- public PreDefinedmarkerDictionary markerDictionary = PreDefinedmarkerDictionary.DICT_4X4_50;
- /// <summary>
- /// Contains all MarkerObjects that have registered, sorted by their markerID values.
- /// We iterate through them each grab, calling MarkerDetected() on each when their
- /// corresponding markers are visible, and MarkerNotDetected() otherwise.
- /// </summary>
- private static Dictionary<int, List<MarkerObject>> registeredMarkers = new Dictionary<int, List<MarkerObject>>();
- public delegate void MarkersDetectedEvent(Dictionary<int, List<sl.Pose>> detectedposes);
- public event MarkersDetectedEvent OnMarkersDetected;
- /// <summary>
- /// Adds a MarkerObject to the registeredMarkers dictionary, so its MarkerDetected() function will get called when
- /// a marker is detected with its corresponding markerID.
- /// </summary>
- /// <param name="marker"></param>
- public static void RegisterMarker(MarkerObject marker)
- {
- if (!registeredMarkers.ContainsKey(marker.markerID))
- {
- registeredMarkers.Add(marker.markerID, new List<MarkerObject>());
- }
- List<MarkerObject> idlist = registeredMarkers[marker.markerID];
- if (!idlist.Contains(marker))
- {
- idlist.Add(marker);
- }
- else
- {
- Debug.LogError("Tried to register " + marker.gameObject.name + " as a new marker, but it was already registered.");
- }
- }
- /// <summary>
- /// Removes a MarkerObject from the registeredMarkers dictionary. Called when a MarkerObject is destroyed.
- /// </summary>
- /// <param name="marker"></param>
- public static void DeregisterMarker(MarkerObject marker)
- {
- if (registeredMarkers.ContainsKey(marker.markerID) && registeredMarkers[marker.markerID].Contains(marker))
- {
- registeredMarkers[marker.markerID].Remove(marker);
- }
- else
- {
- Debug.LogError("Tried to deregister " + marker.gameObject.name + " but it wasn't registered.");
- }
- }
-
- void Start()
- {
- //We'll listen for updates from a ZEDToOpenCVRetriever, which will call an event whenever it has a new image from the ZED.
- if (!imageRetriever) imageRetriever = ZEDToOpenCVRetriever.GetInstance();
- imageRetriever.OnImageUpdated_LeftGrayscale += ImageUpdated;
- }
- /// <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();
- }
- }
- }
- }
-
- /// <summary>
- /// Enum of OpenCV pre-defined dictionary indexes. Used for calling Aruco.getPredefinedDictionary().
- /// Allows for listing the dictionaries in Unity's inspector.
- /// </summary>
- public enum PreDefinedmarkerDictionary
- {
- DICT_4X4_50 = Aruco.DICT_4X4_50,
- DICT_4X4_100 = Aruco.DICT_4X4_100,
- DICT_4X4_250 = Aruco.DICT_4X4_250,
- DICT_4X4_1000 = Aruco.DICT_4X4_1000,
- DICT_5X5_50 = Aruco.DICT_5X5_50,
- DICT_5X5_100 = Aruco.DICT_5X5_100,
- DICT_5X5_250 = Aruco.DICT_5X5_250,
- DICT_5X5_1000 = Aruco.DICT_5X5_1000,
- DICT_6X6_50 = Aruco.DICT_6X6_50,
- DICT_6X6_100 = Aruco.DICT_6X6_100,
- DICT_6X6_250 = Aruco.DICT_6X6_250,
- DICT_6X6_1000 = Aruco.DICT_6X6_1000,
- DICT_7X7_50 = Aruco.DICT_7X7_50,
- DICT_7X7_100 = Aruco.DICT_7X7_100,
- DICT_7X7_250 = Aruco.DICT_7X7_250,
- DICT_7X7_1000 = Aruco.DICT_7X7_1000,
- DICT_ARUCO_ORIGINAL = Aruco.DICT_ARUCO_ORIGINAL,
- DICT_APRILTAG_16h5 = Aruco.DICT_APRILTAG_16h5,
- DICT_APRILTAG_25h9 = Aruco.DICT_APRILTAG_25h9,
- DICT_APRILTAG_36h10 = Aruco.DICT_APRILTAG_36h10,
- DICT_APRILTAG_36h11 = Aruco.DICT_APRILTAG_36h11
- }
- }
- #endif
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