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added support of multichannel matrices in gpu::minMax

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This commit is contained in:
Alexey Spizhevoy 2010-11-24 09:03:37 +00:00
parent 282e01cb4a
commit 13d18d65a8
2 changed files with 27 additions and 25 deletions
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18
modules/gpu/src/arithm.cpp
View File

@ -496,34 +496,34 @@ namespace cv { namespace gpu { namespace mathfunc {
void cv::gpu::minMax(const GpuMat& src, double* minVal, double* maxVal)
{
CV_Assert(src.channels() == 1);
GpuMat src_ = src.reshape(1);
double maxVal_;
if (!maxVal)
maxVal = &maxVal_;
switch (src.type())
switch (src_.type())
{
case CV_8U:
mathfunc::min_max_caller<unsigned char>(src, minVal, maxVal);
mathfunc::min_max_caller<unsigned char>(src_, minVal, maxVal);
break;
case CV_8S:
mathfunc::min_max_caller<signed char>(src, minVal, maxVal);
mathfunc::min_max_caller<signed char>(src_, minVal, maxVal);
break;
case CV_16U:
mathfunc::min_max_caller<unsigned short>(src, minVal, maxVal);
mathfunc::min_max_caller<unsigned short>(src_, minVal, maxVal);
break;
case CV_16S:
mathfunc::min_max_caller<signed short>(src, minVal, maxVal);
mathfunc::min_max_caller<signed short>(src_, minVal, maxVal);
break;
case CV_32S:
mathfunc::min_max_caller<int>(src, minVal, maxVal);
mathfunc::min_max_caller<int>(src_, minVal, maxVal);
break;
case CV_32F:
mathfunc::min_max_caller<float>(src, minVal, maxVal);
mathfunc::min_max_caller<float>(src_, minVal, maxVal);
break;
case CV_64F:
mathfunc::min_max_caller<double>(src, minVal, maxVal);
mathfunc::min_max_caller<double>(src_, minVal, maxVal);
break;
default:
CV_Error(CV_StsBadArg, "Unsupported type");

34
tests/gpu/src/arithm.cpp
View File

@ -678,22 +678,23 @@ struct CV_GpuMinMaxTest: public CvTest
void run(int)
{
for (int type = CV_8U; type <= CV_64F; ++type)
{
int rows = 1, cols = 3;
test(rows, cols, type);
for (int i = 0; i < 4; ++i)
for (int cn = 1; cn <= 4; ++cn)
for (int depth = CV_8U; depth <= CV_64F; ++depth)
{
int rows = 1 + rand() % 1000;
int cols = 1 + rand() % 1000;
test(rows, cols, type);
int rows = 1, cols = 3;
test(rows, cols, cn, depth);
for (int i = 0; i < 4; ++i)
{
int rows = 1 + rand() % 1000;
int cols = 1 + rand() % 1000;
test(rows, cols, cn, depth);
}
}
}
}
void test(int rows, int cols, int type)
void test(int rows, int cols, int cn, int depth)
{
cv::Mat src(rows, cols, type);
cv::Mat src(rows, cols, CV_MAKE_TYPE(depth, cn));
cv::RNG rng;
for (int i = 0; i < src.rows; ++i)
{
@ -702,20 +703,21 @@ struct CV_GpuMinMaxTest: public CvTest
}
double minVal, maxVal;
if (type != CV_8S)
Mat src_ = src.reshape(1);
if (depth != CV_8S)
{
cv::Point minLoc, maxLoc;
cv::minMaxLoc(src, &minVal, &maxVal, &minLoc, &maxLoc);
cv::minMaxLoc(src_, &minVal, &maxVal, &minLoc, &maxLoc);
}
else
{
// OpenCV's minMaxLoc doesn't support CV_8S type
minVal = std::numeric_limits<double>::max();
maxVal = std::numeric_limits<double>::min();
for (int i = 0; i < src.rows; ++i)
for (int j = 0; j < src.cols; ++j)
for (int i = 0; i < src_.rows; ++i)
for (int j = 0; j < src_.cols; ++j)
{
char val = src.at<char>(i, j);
char val = src_.at<char>(i, j);
if (val < minVal) minVal = val;
if (val > maxVal) maxVal = val;
}