changed default parameters in CreateERFiltersNM{1,2} functions. They are not…

changed default parameters in CreateERFiltersNM{1,2} functions. They are not needed now in the sample example.

modules/objdetect/include/opencv2/objdetect/erfilter.hpp

@@ -172,8 +172,8 @@ public:
     \param  minProbability    The minimum probability difference between local maxima and local minima ERs
 */
 CV_EXPORTS Ptr<ERFilter> createERFilterNM1(const Ptr<ERFilter::Callback>& cb = Ptr<ERFilter::Callback>(),
-                                                  int thresholdDelta = 1, float minArea = 0.000025,
-                                                  float maxArea = 0.13, float minProbability = 0.2,
+                                                  int thresholdDelta = 1, float minArea = 0.00025,
+                                                  float maxArea = 0.13, float minProbability = 0.4,
                                                   bool nonMaxSuppression = true,
                                                   float minProbabilityDiff = 0.1);
 
@@ -191,7 +191,7 @@ CV_EXPORTS Ptr<ERFilter> createERFilterNM1(const Ptr<ERFilter::Callback>& cb = P
     \param  minProbability The minimum probability P(er|character) allowed for retreived ER's
 */
 CV_EXPORTS Ptr<ERFilter> createERFilterNM2(const Ptr<ERFilter::Callback>& cb = Ptr<ERFilter::Callback>(),
-                                                  float minProbability = 0.5);
+                                                  float minProbability = 0.3);
 
 }
 #endif // _OPENCV_ERFILTER_HPP_

samples/cpp/erfilter.cpp

@@ -58,7 +58,7 @@ int  main(int argc, const char * argv[])
     double t = (double)getTickCount();
 
     // Build ER tree and filter with the 1st stage default classifier
-    Ptr<ERFilter> er_filter1 = createERFilterNM1(NULL,1,0.00025,0.13,0.4,true,0.1);
+    Ptr<ERFilter> er_filter1 = createERFilterNM1();
 
     er_filter1->run(grey, regions);
 
@@ -89,7 +89,7 @@ int  main(int argc, const char * argv[])
     t = (double)getTickCount();
 
     // Default second stage classifier
-    Ptr<ERFilter> er_filter2 = createERFilterNM2(NULL,0.3);
+    Ptr<ERFilter> er_filter2 = createERFilterNM2();
     er_filter2->run(grey, regions);
 
     t = (double)getTickCount() - t;