test: extract OpenCL Moments tests, drop 'coi' parameter

modules/imgproc/test/test_moments.cpp

@@ -39,6 +39,7 @@
 //
 //M*/
 #include "test_precomp.hpp"
+#include "opencv2/ts/ocl_test.hpp"
 
 using namespace cv;
 using namespace std;
@@ -54,7 +55,7 @@ using namespace std;
 class CV_MomentsTest : public cvtest::ArrayTest
 {
 public:
-    CV_MomentsTest();
+    CV_MomentsTest(bool try_umat);
 
 protected:
 
@@ -65,18 +66,17 @@ protected:
     void get_minmax_bounds( int i, int j, int type, Scalar& low, Scalar& high );
     double get_success_error_level( int test_case_idx, int i, int j );
     void run_func();
-    int coi;
     bool is_binary;
-    bool try_umat;
+    bool try_umat_;
 };
 
 
-CV_MomentsTest::CV_MomentsTest()
+CV_MomentsTest::CV_MomentsTest(bool try_umat) :
+    try_umat_(try_umat)
 {
     test_array[INPUT].push_back(NULL);
     test_array[OUTPUT].push_back(NULL);
     test_array[REF_OUTPUT].push_back(NULL);
-    coi = -1;
     is_binary = false;
     OCL_TUNING_MODE_ONLY(test_case_count = 10);
     //element_wise_relative_error = false;
@@ -110,40 +110,24 @@ void CV_MomentsTest::get_test_array_types_and_sizes( int test_case_idx,
 {
     RNG& rng = ts->get_rng();
     cvtest::ArrayTest::get_test_array_types_and_sizes( test_case_idx, sizes, types );
-    int cn = (cvtest::randInt(rng) % 4) + 1;
     int depth = cvtest::randInt(rng) % 4;
     depth = depth == 0 ? CV_8U : depth == 1 ? CV_16U : depth == 2 ? CV_16S : CV_32F;
 
     is_binary = cvtest::randInt(rng) % 2 != 0;
-    if( depth == 0 && !is_binary )
-        try_umat = cvtest::randInt(rng) % 5 != 0;
-    else
-        try_umat = cvtest::randInt(rng) % 2 != 0;
-
-    if( cn == 2 || try_umat )
-        cn = 1;
 
     OCL_TUNING_MODE_ONLY(
-    cn = 1;
     depth = CV_8U;
-    try_umat = true;
     is_binary = false;
     sizes[INPUT][0] = Size(1024,768)
     );
 
-    types[INPUT][0] = CV_MAKETYPE(depth, cn);
+    types[INPUT][0] = CV_MAKETYPE(depth, 1);
     types[OUTPUT][0] = types[REF_OUTPUT][0] = CV_64FC1;
     sizes[OUTPUT][0] = sizes[REF_OUTPUT][0] = cvSize(MOMENT_COUNT,1);
     if(CV_MAT_DEPTH(types[INPUT][0])>=CV_32S)
         sizes[INPUT][0].width = MAX(sizes[INPUT][0].width, 3);
 
-    coi = 0;
     cvmat_allowed = true;
-    if( cn > 1 )
-    {
-        coi = cvtest::randInt(rng) % cn;
-        cvmat_allowed = false;
-    }
 }
 
 
@@ -156,13 +140,6 @@ double CV_MomentsTest::get_success_error_level( int /*test_case_idx*/, int /*i*/
 int CV_MomentsTest::prepare_test_case( int test_case_idx )
 {
     int code = cvtest::ArrayTest::prepare_test_case( test_case_idx );
-    if( code > 0 )
-    {
-        int cn = test_mat[INPUT][0].channels();
-        if( cn > 1 )
-            cvSetImageCOI( (IplImage*)test_array[INPUT][0], coi + 1 );
-    }
-
     return code;
 }
 
@@ -171,7 +148,7 @@ void CV_MomentsTest::run_func()
 {
     CvMoments* m = (CvMoments*)test_mat[OUTPUT][0].ptr<double>();
     double* others = (double*)(m + 1);
-    if( try_umat )
+    if (try_umat_)
     {
         UMat u;
         test_mat[INPUT][0].clone().copyTo(u);
@@ -212,6 +189,7 @@ void CV_MomentsTest::prepare_to_validation( int /*test_case_idx*/ )
 
     memset( &m, 0, sizeof(m));
 
+    int coi = 0;
     for( y = 0; y < src.rows; y++ )
     {
         double s0 = 0, s1 = 0, s2 = 0, s3 = 0;
@@ -431,7 +409,8 @@ void CV_HuMomentsTest::prepare_to_validation( int /*test_case_idx*/ )
 }
 
 
-TEST(Imgproc_Moments, accuracy) { CV_MomentsTest test; test.safe_run(); }
+TEST(Imgproc_Moments, accuracy) { CV_MomentsTest test(false); test.safe_run(); }
+OCL_TEST(Imgproc_Moments, accuracy) { CV_MomentsTest test(true); test.safe_run(); }
 TEST(Imgproc_HuMoments, accuracy) { CV_HuMomentsTest test; test.safe_run(); }
 
 class CV_SmallContourMomentTest : public cvtest::BaseTest