Remove goturn legacy

modules/tracking/include/opencv2/tracking/tracking_legacy.hpp

@@ -286,45 +286,6 @@ class CV_EXPORTS_W TrackerKCF : public cv::legacy::Tracker
   virtual ~TrackerKCF() CV_OVERRIDE {}
 };
 
-#if 0  // legacy variant is not available
-/** @brief the GOTURN (Generic Object Tracking Using Regression Networks) tracker
-
- *  GOTURN (@cite GOTURN) is kind of trackers based on Convolutional Neural Networks (CNN). While taking all advantages of CNN trackers,
- *  GOTURN is much faster due to offline training without online fine-tuning nature.
- *  GOTURN tracker addresses the problem of single target tracking: given a bounding box label of an object in the first frame of the video,
- *  we track that object through the rest of the video. NOTE: Current method of GOTURN does not handle occlusions; however, it is fairly
- *  robust to viewpoint changes, lighting changes, and deformations.
- *  Inputs of GOTURN are two RGB patches representing Target and Search patches resized to 227x227.
- *  Outputs of GOTURN are predicted bounding box coordinates, relative to Search patch coordinate system, in format X1,Y1,X2,Y2.
- *  Original paper is here: <http://davheld.github.io/GOTURN/GOTURN.pdf>
- *  As long as original authors implementation: <https://github.com/davheld/GOTURN#train-the-tracker>
- *  Implementation of training algorithm is placed in separately here due to 3d-party dependencies:
- *  <https://github.com/Auron-X/GOTURN_Training_Toolkit>
- *  GOTURN architecture goturn.prototxt and trained model goturn.caffemodel are accessible on opencv_extra GitHub repository.
-*/
-class CV_EXPORTS_W TrackerGOTURN : public cv::legacy::Tracker
-{
-public:
-  struct CV_EXPORTS Params
-  {
-    Params();
-    void read(const FileNode& /*fn*/);
-    void write(FileStorage& /*fs*/) const;
-    String modelTxt;
-    String modelBin;
-  };
-
-  /** @brief Constructor
-  @param parameters GOTURN parameters TrackerGOTURN::Params
-  */
-  static Ptr<legacy::TrackerGOTURN> create(const TrackerGOTURN::Params &parameters);
-
-  CV_WRAP static Ptr<legacy::TrackerGOTURN> create();
-
-  virtual ~TrackerGOTURN() CV_OVERRIDE {}
-};
-#endif
-
 /** @brief the MOSSE (Minimum Output Sum of Squared %Error) tracker
 
 The implementation is based on @cite MOSSE Visual Object Tracking using Adaptive Correlation Filters

modules/tracking/misc/java/test/TrackerCreateTest.java

@@ -5,7 +5,6 @@
 import org.opencv.test.OpenCVTestCase;
 
 import org.opencv.video.Tracker;
-import org.opencv.video.TrackerGOTURN;
 import org.opencv.tracking.TrackerKCF;
 import org.opencv.video.TrackerMIL;
 
@@ -16,16 +15,6 @@ protected void setUp() throws Exception {
         super.setUp();
     }
 
-
-    public void testCreateTrackerGOTURN() {
-        try {
-            Tracker tracker = TrackerGOTURN.create();
-            assert(tracker != null);
-        } catch (CvException e) {
-            // expected, model files may be missing
-        }
-    }
-
     public void testCreateTrackerKCF() {
         Tracker tracker = TrackerKCF.create();
     }

modules/tracking/misc/python/test/test_tracking_contrib.py

@@ -11,18 +11,13 @@ def test_createTracker(self):
 
         t = cv.TrackerMIL_create()
         t = cv.TrackerKCF_create()
-        try:
-            t = cv.TrackerGOTURN_create()
-        except cv.error as e:
-            pass  # may fail due to missing DL model files
 
     def test_createLegacyTracker(self):
 
         t = cv.legacy.TrackerBoosting_create()
         t = cv.legacy.TrackerMIL_create()
         t = cv.legacy.TrackerKCF_create()
         t = cv.legacy.TrackerMedianFlow_create()
-        #t = cv.legacy.TrackerGOTURN_create()
         t = cv.legacy.TrackerMOSSE_create()
         t = cv.legacy.TrackerCSRT_create()
 

modules/tracking/samples/samples_utility.hpp

@@ -20,8 +20,6 @@ inline cv::Ptr<cv::Tracker> createTrackerByName(const std::string& name)
         tracker = legacy::upgradeTrackingAPI(legacy::TrackerMedianFlow::create());
     else if (name == "MIL")
         tracker = cv::TrackerMIL::create();
-    else if (name == "GOTURN")
-        tracker = cv::TrackerGOTURN::create();
     else if (name == "MOSSE")
         tracker = legacy::upgradeTrackingAPI(legacy::TrackerMOSSE::create());
     else if (name == "CSRT")
@@ -48,8 +46,6 @@ inline cv::Ptr<cv::legacy::Tracker> createTrackerByName_legacy(const std::string
         tracker = legacy::TrackerMedianFlow::create();
     else if (name == "MIL")
         tracker = legacy::TrackerMIL::create();
-    else if (name == "GOTURN")
-        CV_Error(cv::Error::StsNotImplemented, "FIXIT: migration on new API is required");
     else if (name == "MOSSE")
         tracker = legacy::TrackerMOSSE::create();
     else if (name == "CSRT")

modules/tracking/samples/tracker.cpp

@@ -22,7 +22,7 @@ static void help()
        "Example of <video_name> is in opencv_extra/testdata/cv/tracking/\n"
        "Call:\n"
        "./tracker <tracker_algorithm> <video_name> <start_frame> [<bounding_frame>]\n"
-       "tracker_algorithm can be: MIL, BOOSTING, MEDIANFLOW, TLD, KCF, GOTURN, MOSSE.\n"
+       "tracker_algorithm can be: MIL, BOOSTING, MEDIANFLOW, TLD, KCF, MOSSE.\n"
        << endl;
 
   cout << "\n\nHot keys: \n"

modules/tracking/tutorials/tutorial_introduction_to_tracker.markdown

@@ -50,7 +50,6 @@ Explanation
     + MEDIANFLOW
     + TLD
     + KCF
-    + GOTURN
     + MOSSE
 
     Each tracker algorithm has their own advantages and disadvantages, please refer the documentation of @ref cv::Tracker for more detailed information.