int ptype = depth == CV_64F ? CV_64F : CV_32F;
int esz = (int)CV_ELEM_SIZE(ptype);
- if( _param1.isContinuous() && _param1.type() == ptype )
+ if( _param1.isContinuous() && _param1.type() == ptype && n1 >= cn)
mean = _param1.data;
else
{
for( j = n1*esz; j < cn*esz; j++ )
mean[j] = mean[j - n1*esz];
- if( _param2.isContinuous() && _param2.type() == ptype )
+ if( _param2.isContinuous() && _param2.type() == ptype && n2 >= cn)
stddev = _param2.data;
else
{
- Mat tmp(_param2.size(), ptype, parambuf + cn);
+ Mat tmp(_param2.size(), ptype, parambuf + MAX(n1, cn));
_param2.convertTo(tmp, ptype);
- stddev = (uchar*)(parambuf + cn);
+ stddev = (uchar*)(parambuf + MAX(n1, cn));
}
- if( n1 < cn )
- for( j = n1*esz; j < cn*esz; j++ )
- stddev[j] = stddev[j - n1*esz];
+ if( n2 < cn )
+ for( j = n2*esz; j < cn*esz; j++ )
+ stddev[j] = stddev[j - n2*esz];
stdmtx = _param2.rows == cn && _param2.cols == cn;
scaleFunc = randnScaleTab[depth];
ASSERT_EQ(expected[i], actual[i]);
}
}
+
+
+TEST(Core_Rand, Regression_Stack_Corruption)
+{
+ int bufsz = 128; //enough for 14 doubles
+ AutoBuffer<uchar> buffer(bufsz);
+ size_t offset = 0;
+ cv::Mat_<cv::Point2d> x(2, 3, (cv::Point2d*)(buffer+offset)); offset += x.total()*x.elemSize();
+ double& param1 = *(double*)(buffer+offset); offset += sizeof(double);
+ double& param2 = *(double*)(buffer+offset); offset += sizeof(double);
+ param1 = -9; param2 = 2;
+
+ cv::theRNG().fill(x, cv::RNG::NORMAL, param1, param2);
+
+ ASSERT_EQ(param1, -9);
+ ASSERT_EQ(param2, 2);
+}