Add some comments

Author: Nuzhny007

async_detector/AsyncDetector.cpp

@@ -312,7 +312,7 @@ void AsyncDetector::CaptureThread(std::string fileName, int startFrame, float* f
 	trackerSettings.SetDistance(tracking::DistCenters);
     trackerSettings.m_kalmanType = tracking::KalmanLinear;
     trackerSettings.m_filterGoal = tracking::FilterRect;
-    trackerSettings.m_lostTrackType = tracking::TrackNone; // Use KCF tracker for collisions resolving
+    trackerSettings.m_lostTrackType = tracking::TrackNone; // Use KCF tracker for collisions resolving. Used if m_filterGoal == tracking::FilterRect
     trackerSettings.m_matchType = tracking::MatchHungrian;
     trackerSettings.m_dt = 0.2f;                           // Delta time for Kalman filter
     trackerSettings.m_accelNoiseMag = 0.3f;                // Accel noise magnitude for Kalman filter

cars_counting/CarsCounting.cpp

@@ -389,7 +389,7 @@ bool CarsCounting::InitTracker(cv::UMat frame)
 		settings.SetDistance(tracking::DistJaccard);
 		settings.m_kalmanType = tracking::KalmanLinear;
 		settings.m_filterGoal = tracking::FilterCenter;
-		settings.m_lostTrackType = tracking::TrackCSRT; // Use KCF tracker for collisions resolving
+		settings.m_lostTrackType = tracking::TrackCSRT; // Use KCF tracker for collisions resolving. Used if m_filterGoal == tracking::FilterRect
 		settings.m_matchType = tracking::MatchHungrian;
 		settings.m_dt = 0.3f;                           // Delta time for Kalman filter
 		settings.m_accelNoiseMag = 0.2f;                // Accel noise magnitude for Kalman filter

data/settings.ini

@@ -31,6 +31,7 @@ filter_goal = 0
 # TrackDAT = 7
 # TrackSTAPLE = 8
 # TrackLDES = 9
+# Used if filter_goal == FilterRect
 
 lost_track_type = 0
 

example/examples.h

@@ -119,12 +119,12 @@ class MotionDetectorExample : public VideoExample
 			m_trackerSettings.SetDistance(tracking::DistRects);
 			m_trackerSettings.m_kalmanType = tracking::KalmanLinear;
 			m_trackerSettings.m_filterGoal = tracking::FilterCenter;
-			m_trackerSettings.m_lostTrackType = tracking::TrackCSRT;       // Use visual objects tracker for collisions resolving
+			m_trackerSettings.m_lostTrackType = tracking::TrackCSRT; // Use visual objects tracker for collisions resolving. Used if m_filterGoal == tracking::FilterRect
 			m_trackerSettings.m_matchType = tracking::MatchHungrian;
-			m_trackerSettings.m_useAcceleration = false;                   // Use constant acceleration motion model
+			m_trackerSettings.m_useAcceleration = false;             // Use constant acceleration motion model
 			m_trackerSettings.m_dt = m_trackerSettings.m_useAcceleration ? 0.05f : 0.2f; // Delta time for Kalman filter
-			m_trackerSettings.m_accelNoiseMag = 0.2f;                  // Accel noise magnitude for Kalman filter
-			m_trackerSettings.m_distThres = 0.95f;                    // Distance threshold between region and object on two frames
+			m_trackerSettings.m_accelNoiseMag = 0.2f;                // Accel noise magnitude for Kalman filter
+			m_trackerSettings.m_distThres = 0.95f;                   // Distance threshold between region and object on two frames
 #if 0
 			m_trackerSettings.m_minAreaRadiusPix = frame.rows / 20.f;
 #else
@@ -264,7 +264,7 @@ class FaceDetectorExample : public VideoExample
 			m_trackerSettings.SetDistance(tracking::DistJaccard);
 			m_trackerSettings.m_kalmanType = tracking::KalmanUnscented;
 			m_trackerSettings.m_filterGoal = tracking::FilterRect;
-			m_trackerSettings.m_lostTrackType = tracking::TrackCSRT;      // Use visual objects tracker for collisions resolving
+			m_trackerSettings.m_lostTrackType = tracking::TrackCSRT;      // Use visual objects tracker for collisions resolving. Used if m_filterGoal == tracking::FilterRect
 			m_trackerSettings.m_matchType = tracking::MatchHungrian;
 			m_trackerSettings.m_dt = 0.3f;                                // Delta time for Kalman filter
 			m_trackerSettings.m_accelNoiseMag = 0.1f;                     // Accel noise magnitude for Kalman filter
@@ -356,7 +356,7 @@ class PedestrianDetectorExample : public VideoExample
 			m_trackerSettings.SetDistance(tracking::DistRects);
 			m_trackerSettings.m_kalmanType = tracking::KalmanLinear;
 			m_trackerSettings.m_filterGoal = tracking::FilterRect;
-			m_trackerSettings.m_lostTrackType = tracking::TrackCSRT;   // Use visual objects tracker for collisions resolving
+			m_trackerSettings.m_lostTrackType = tracking::TrackCSRT;   // Use visual objects tracker for collisions resolving. Used if m_filterGoal == tracking::FilterRect
 			m_trackerSettings.m_matchType = tracking::MatchHungrian;
 			m_trackerSettings.m_dt = 0.3f;                             // Delta time for Kalman filter
 			m_trackerSettings.m_accelNoiseMag = 0.1f;                  // Accel noise magnitude for Kalman filter
@@ -492,7 +492,7 @@ class OpenCVDNNExample : public VideoExample
 		m_trackerSettings.SetDistance(tracking::DistCenters);
 		m_trackerSettings.m_kalmanType = tracking::KalmanLinear;
 		m_trackerSettings.m_filterGoal = tracking::FilterRect;
-		m_trackerSettings.m_lostTrackType = tracking::TrackCSRT;      // Use visual objects tracker for collisions resolving
+		m_trackerSettings.m_lostTrackType = tracking::TrackCSRT;      // Use visual objects tracker for collisions resolving. Used if m_filterGoal == tracking::FilterRect
 		m_trackerSettings.m_matchType = tracking::MatchHungrian;
 		m_trackerSettings.m_useAcceleration = false;                   // Use constant acceleration motion model
 		m_trackerSettings.m_dt = m_trackerSettings.m_useAcceleration ? 0.05f : 0.4f; // Delta time for Kalman filter
@@ -664,7 +664,7 @@ class YoloDarknetExample : public VideoExample
 			m_trackerSettings.SetDistance(tracking::DistCenters);
 			m_trackerSettings.m_kalmanType = tracking::KalmanLinear;
 			m_trackerSettings.m_filterGoal = tracking::FilterRect;
-			m_trackerSettings.m_lostTrackType = tracking::TrackCSRT;      // Use visual objects tracker for collisions resolving
+			m_trackerSettings.m_lostTrackType = tracking::TrackCSRT;      // Use visual objects tracker for collisions resolving. Used if m_filterGoal == tracking::FilterRect
 			m_trackerSettings.m_matchType = tracking::MatchHungrian;
 			m_trackerSettings.m_useAcceleration = false;                   // Use constant acceleration motion model
 			m_trackerSettings.m_dt = m_trackerSettings.m_useAcceleration ? 0.05f : 0.4f; // Delta time for Kalman filter
@@ -876,7 +876,7 @@ class YoloTensorRTExample : public VideoExample
 			m_trackerSettings.SetDistance(tracking::DistCenters);
 			m_trackerSettings.m_kalmanType = tracking::KalmanLinear;
 			m_trackerSettings.m_filterGoal = tracking::FilterCenter;
-			m_trackerSettings.m_lostTrackType = tracking::TrackKCF;      // Use visual objects tracker for collisions resolving
+			m_trackerSettings.m_lostTrackType = tracking::TrackKCF;      // Use visual objects tracker for collisions resolving. Used if m_filterGoal == tracking::FilterRect
 			m_trackerSettings.m_matchType = tracking::MatchHungrian;
 			m_trackerSettings.m_dt = 0.3f;                                // Delta time for Kalman filter
 			m_trackerSettings.m_accelNoiseMag = 0.2f;                     // Accel noise magnitude for Kalman filter