Split stat.cpp into smaller pieces

modules/core/src/stat.hpp

+// This file is part of OpenCV project.
+// It is subject to the license terms in the LICENSE file found in the top-level directory
+// of this distribution and at http://opencv.org/license.html
+
+
+#ifndef SRC_STAT_HPP
+#define SRC_STAT_HPP
+
+#include "opencv2/core/mat.hpp"
+
+namespace cv {
+
+#ifdef HAVE_OPENCL
+
+enum { OCL_OP_SUM = 0, OCL_OP_SUM_ABS =  1, OCL_OP_SUM_SQR = 2 };
+bool ocl_sum( InputArray _src, Scalar & res, int sum_op, InputArray _mask = noArray(),
+                     InputArray _src2 = noArray(), bool calc2 = false, const Scalar & res2 = Scalar() );
+bool ocl_minMaxIdx( InputArray _src, double* minVal, double* maxVal, int* minLoc, int* maxLoc, InputArray _mask,
+                           int ddepth = -1, bool absValues = false, InputArray _src2 = noArray(), double * maxVal2 = NULL);
+
+template <typename T> Scalar ocl_part_sum(Mat m)
+{
+    CV_Assert(m.rows == 1);
+
+    Scalar s = Scalar::all(0);
+    int cn = m.channels();
+    const T * const ptr = m.ptr<T>(0);
+
+    for (int x = 0, w = m.cols * cn; x < w; )
+        for (int c = 0; c < cn; ++c, ++x)
+            s[c] += ptr[x];
+
+    return s;
+}
+
+#endif
+
+typedef int (*SumFunc)(const uchar*, const uchar* mask, uchar*, int, int);
+SumFunc getSumFunc(int depth);
+
+}
+
+#endif // SRC_STAT_HPP

modules/core/src/stat_c.cpp

+// This file is part of OpenCV project.
+// It is subject to the license terms in the LICENSE file found in the top-level directory
+// of this distribution and at http://opencv.org/license.html
+
+
+#include "precomp.hpp"
+
+CV_IMPL CvScalar cvSum( const CvArr* srcarr )
+{
+    cv::Scalar sum = cv::sum(cv::cvarrToMat(srcarr, false, true, 1));
+    if( CV_IS_IMAGE(srcarr) )
+    {
+        int coi = cvGetImageCOI((IplImage*)srcarr);
+        if( coi )
+        {
+            CV_Assert( 0 < coi && coi <= 4 );
+            sum = cv::Scalar(sum[coi-1]);
+        }
+    }
+    return sum;
+}
+
+CV_IMPL int cvCountNonZero( const CvArr* imgarr )
+{
+    cv::Mat img = cv::cvarrToMat(imgarr, false, true, 1);
+    if( img.channels() > 1 )
+        cv::extractImageCOI(imgarr, img);
+    return countNonZero(img);
+}
+
+
+CV_IMPL  CvScalar
+cvAvg( const void* imgarr, const void* maskarr )
+{
+    cv::Mat img = cv::cvarrToMat(imgarr, false, true, 1);
+    cv::Scalar mean = !maskarr ? cv::mean(img) : cv::mean(img, cv::cvarrToMat(maskarr));
+    if( CV_IS_IMAGE(imgarr) )
+    {
+        int coi = cvGetImageCOI((IplImage*)imgarr);
+        if( coi )
+        {
+            CV_Assert( 0 < coi && coi <= 4 );
+            mean = cv::Scalar(mean[coi-1]);
+        }
+    }
+    return mean;
+}
+
+
+CV_IMPL  void
+cvAvgSdv( const CvArr* imgarr, CvScalar* _mean, CvScalar* _sdv, const void* maskarr )
+{
+    cv::Scalar mean, sdv;
+
+    cv::Mat mask;
+    if( maskarr )
+        mask = cv::cvarrToMat(maskarr);
+
+    cv::meanStdDev(cv::cvarrToMat(imgarr, false, true, 1), mean, sdv, mask );
+
+    if( CV_IS_IMAGE(imgarr) )
+    {
+        int coi = cvGetImageCOI((IplImage*)imgarr);
+        if( coi )
+        {
+            CV_Assert( 0 < coi && coi <= 4 );
+            mean = cv::Scalar(mean[coi-1]);
+            sdv = cv::Scalar(sdv[coi-1]);
+        }
+    }
+
+    if( _mean )
+        *(cv::Scalar*)_mean = mean;
+    if( _sdv )
+        *(cv::Scalar*)_sdv = sdv;
+}
+
+
+CV_IMPL void
+cvMinMaxLoc( const void* imgarr, double* _minVal, double* _maxVal,
+             CvPoint* _minLoc, CvPoint* _maxLoc, const void* maskarr )
+{
+    cv::Mat mask, img = cv::cvarrToMat(imgarr, false, true, 1);
+    if( maskarr )
+        mask = cv::cvarrToMat(maskarr);
+    if( img.channels() > 1 )
+        cv::extractImageCOI(imgarr, img);
+
+    cv::minMaxLoc( img, _minVal, _maxVal,
+                   (cv::Point*)_minLoc, (cv::Point*)_maxLoc, mask );
+}
+
+
+CV_IMPL  double
+cvNorm( const void* imgA, const void* imgB, int normType, const void* maskarr )
+{
+    cv::Mat a, mask;
+    if( !imgA )
+    {
+        imgA = imgB;
+        imgB = 0;
+    }
+
+    a = cv::cvarrToMat(imgA, false, true, 1);
+    if( maskarr )
+        mask = cv::cvarrToMat(maskarr);
+
+    if( a.channels() > 1 && CV_IS_IMAGE(imgA) && cvGetImageCOI((const IplImage*)imgA) > 0 )
+        cv::extractImageCOI(imgA, a);
+
+    if( !imgB )
+        return !maskarr ? cv::norm(a, normType) : cv::norm(a, normType, mask);
+
+    cv::Mat b = cv::cvarrToMat(imgB, false, true, 1);
+    if( b.channels() > 1 && CV_IS_IMAGE(imgB) && cvGetImageCOI((const IplImage*)imgB) > 0 )
+        cv::extractImageCOI(imgB, b);
+
+    return !maskarr ? cv::norm(a, b, normType) : cv::norm(a, b, normType, mask);
+}