remove usage of obsolete _dataAsRows flag

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

@@ -853,8 +853,7 @@ namespace cv
     class CV_EXPORTS LDA
     {
     public:
-        // Initializes a LDA with num_components (default 0) and specifies how
+        // Initializes a LDA with num_components (default 0).
-        // samples are aligned (default dataAsRow=true).
         LDA(int num_components = 0) :
             _num_components(num_components) {};
 
@@ -895,13 +894,18 @@ namespace cv
         // Destructor.
         ~LDA() {}
 
-        //! Compute the discriminants for data in src and labels.
+        /** Compute the discriminants for data in src (row aligned) and labels.
+          */
         void compute(InputArrayOfArrays src, InputArray labels);
 
-        // Projects samples into the LDA subspace.
+        /** Projects samples into the LDA subspace.
+            src may be one or more row aligned samples.
+          */
         Mat project(InputArray src);
 
-        // Reconstructs projections from the LDA subspace.
+        /** Reconstructs projections from the LDA subspace.
+            src may be one or more row aligned projections.
+          */
         Mat reconstruct(InputArray src);
 
         // Returns the eigenvectors of this LDA.
@@ -911,7 +915,7 @@ namespace cv
         Mat eigenvalues() const { return _eigenvalues; }
 
     protected:
-        bool _dataAsRow;
+        bool _dataAsRow; // unused, but needed for ABI compatibility.
         int _num_components;
         Mat _eigenvectors;
         Mat _eigenvalues;

modules/contrib/src/lda.cpp

@@ -1100,14 +1100,14 @@ void LDA::compute(InputArrayOfArrays _src, InputArray _lbls) {
     }
 }
 
-// Projects samples into the LDA subspace.
+// Projects one or more row aligned samples into the LDA subspace.
 Mat LDA::project(InputArray src) {
-   return subspaceProject(_eigenvectors, Mat(), _dataAsRow ? src : src.getMat().t());
+   return subspaceProject(_eigenvectors, Mat(), src);
 }
 
-// Reconstructs projections from the LDA subspace.
+// Reconstructs projections from the LDA subspace from one or more row aligned samples.
 Mat LDA::reconstruct(InputArray src) {
-   return subspaceReconstruct(_eigenvectors, Mat(), _dataAsRow ? src : src.getMat().t());
+   return subspaceReconstruct(_eigenvectors, Mat(), src);
 }
 
 }