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Merge remote-tracking branch 'upstream/3.4' into merge-3.4
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@@ -301,7 +301,7 @@ void CV_BaseShapeDescrTest::generate_point_set( void* pointsSet )
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else
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{
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CvMat* ptm = (CvMat*)pointsSet;
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assert( CV_IS_MAT(ptm) && CV_IS_MAT_CONT(ptm->type) );
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CV_Assert( CV_IS_MAT(ptm) && CV_IS_MAT_CONT(ptm->type) );
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total = ptm->rows + ptm->cols - 1;
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point_type = CV_MAT_TYPE(ptm->type);
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data = ptm->data.ptr;
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@@ -310,7 +310,7 @@ void CV_BaseShapeDescrTest::generate_point_set( void* pointsSet )
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n = CV_MAT_CN(point_type);
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point_type = CV_MAT_DEPTH(point_type);
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assert( (point_type == CV_32S || point_type == CV_32F) && n <= 4 );
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CV_Assert( (point_type == CV_32S || point_type == CV_32F) && n <= 4 );
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for( i = 0; i < total; i++ )
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{
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@@ -1335,7 +1335,7 @@ void CV_FitEllipseTest::generate_point_set( void* pointsSet )
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else
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{
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CvMat* ptm = (CvMat*)pointsSet;
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assert( CV_IS_MAT(ptm) && CV_IS_MAT_CONT(ptm->type) );
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CV_Assert( CV_IS_MAT(ptm) && CV_IS_MAT_CONT(ptm->type) );
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total = ptm->rows + ptm->cols - 1;
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point_type = CV_MAT_TYPE(ptm->type);
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data = ptm->data.ptr;
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@@ -1621,7 +1621,7 @@ void CV_FitLineTest::generate_point_set( void* pointsSet )
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else
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{
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CvMat* ptm = (CvMat*)pointsSet;
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assert( CV_IS_MAT(ptm) && CV_IS_MAT_CONT(ptm->type) );
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CV_Assert( CV_IS_MAT(ptm) && CV_IS_MAT_CONT(ptm->type) );
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total = ptm->rows + ptm->cols - 1;
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point_type = CV_MAT_DEPTH(CV_MAT_TYPE(ptm->type));
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data = ptm->data.ptr;
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@@ -1788,13 +1788,13 @@ cvTsGenerateTousledBlob( CvPoint2D32f center, CvSize2D32f axes,
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else
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{
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CvMat* ptm = (CvMat*)points;
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assert( CV_IS_MAT(ptm) && CV_IS_MAT_CONT(ptm->type) );
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CV_Assert( CV_IS_MAT(ptm) && CV_IS_MAT_CONT(ptm->type) );
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total = ptm->rows + ptm->cols - 1;
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point_type = CV_MAT_TYPE(ptm->type);
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data = ptm->data.ptr;
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}
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assert( point_type == CV_32SC2 || point_type == CV_32FC2 );
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CV_Assert( point_type == CV_32SC2 || point_type == CV_32FC2 );
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for( i = 0; i < total; i++ )
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{
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@@ -1874,8 +1874,8 @@ void CV_ContourMomentsTest::generate_point_set( void* pointsSet )
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center.x = (float)(img_size.width*0.5 + (cvtest::randReal(rng)-0.5)*(img_size.width - max_sz*2)*0.8);
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center.y = (float)(img_size.height*0.5 + (cvtest::randReal(rng)-0.5)*(img_size.height - max_sz*2)*0.8);
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assert( 0 < center.x - max_sz && center.x + max_sz < img_size.width &&
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0 < center.y - max_sz && center.y + max_sz < img_size.height );
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CV_Assert( 0 < center.x - max_sz && center.x + max_sz < img_size.width &&
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0 < center.y - max_sz && center.y + max_sz < img_size.height );
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max_r_scale = cvtest::randReal(rng)*max_max_r_scale*0.01;
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angle = cvtest::randReal(rng)*360;
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