yet another portion of changes towards the binary compatibility

modules/contrib/include/opencv2/contrib/contrib.hpp

@@ -916,9 +916,6 @@ namespace cv
         // Trains a FaceRecognizer.
         CV_WRAP virtual void train(InputArrayOfArrays src, InputArray labels) = 0;
 
-        // Updates a FaceRecognizer.
-        CV_WRAP virtual void update(InputArrayOfArrays src, InputArray labels);
-
         // Gets a prediction from a FaceRecognizer.
         virtual int predict(InputArray src) const = 0;
 
@@ -937,6 +934,8 @@ namespace cv
         // Deserializes this object from a given cv::FileStorage.
         virtual void load(const FileStorage& fs) = 0;
         
+        // Updates a FaceRecognizer.
+        CV_WRAP virtual void update(InputArrayOfArrays src, InputArray labels);
     };
 
     CV_EXPORTS_W Ptr<FaceRecognizer> createEigenFaceRecognizer(int num_components = 0, double threshold = DBL_MAX);

modules/ml/include/opencv2/ml/ml.hpp

@@ -505,7 +505,7 @@ public:
                             CvParamGrid degreeGrid = CvSVM::get_default_grid(CvSVM::DEGREE),
                             bool balanced=false);
     CV_WRAP virtual float predict( const cv::Mat& sample, bool returnDFVal=false ) const;
-    CV_WRAP_AS(predict_all) virtual void predict( cv::InputArray samples, cv::OutputArray results ) const;
+    CV_WRAP_AS(predict_all) void predict( cv::InputArray samples, cv::OutputArray results ) const;
 
     CV_WRAP virtual int get_support_vector_count() const;
     virtual const float* get_support_vector(int i) const;
@@ -2080,8 +2080,6 @@ protected:
     CvMat* var_idx_out; // mat
     CvMat* var_types_out; // mat
 
-    int header_lines_number;
-
     int response_idx;
 
     int train_sample_count;
@@ -2095,6 +2093,8 @@ protected:
     int* sample_idx; // data of train_sample_idx and test_sample_idx
 
     cv::RNG* rng;
+    
+    int header_lines_number;
 };
 
 

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

@@ -597,13 +597,14 @@ public:
 
 
     // evaluate specified ROI and return confidence value for each location
-   virtual void detectROI(const cv::Mat& img, const vector<cv::Point> &locations,
+    void detectROI(const cv::Mat& img, const vector<cv::Point> &locations,
-                                   CV_OUT std::vector<cv::Point>& foundLocations, CV_OUT std::vector<double>& confidences,
+                   CV_OUT std::vector<cv::Point>& foundLocations,
+                   CV_OUT std::vector<double>& confidences,
                    double hitThreshold = 0, cv::Size winStride = Size(),
                    cv::Size padding = Size()) const;
 
     // evaluate specified ROI and return confidence value for each location in multiple scales
-   virtual void detectMultiScaleROI(const cv::Mat& img,
+    void detectMultiScaleROI(const cv::Mat& img,
                              CV_OUT std::vector<cv::Rect>& foundLocations,
                              std::vector<DetectionROI>& locations,
                              double hitThreshold = 0,