added support of multichannel matrices in gpu::minMax
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@ -496,34 +496,34 @@ namespace cv { namespace gpu { namespace mathfunc {
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void cv::gpu::minMax(const GpuMat& src, double* minVal, double* maxVal)
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void cv::gpu::minMax(const GpuMat& src, double* minVal, double* maxVal)
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{
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{
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CV_Assert(src.channels() == 1);
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GpuMat src_ = src.reshape(1);
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double maxVal_;
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double maxVal_;
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if (!maxVal)
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if (!maxVal)
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maxVal = &maxVal_;
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maxVal = &maxVal_;
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switch (src.type())
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switch (src_.type())
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{
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{
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case CV_8U:
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case CV_8U:
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mathfunc::min_max_caller<unsigned char>(src, minVal, maxVal);
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mathfunc::min_max_caller<unsigned char>(src_, minVal, maxVal);
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break;
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break;
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case CV_8S:
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case CV_8S:
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mathfunc::min_max_caller<signed char>(src, minVal, maxVal);
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mathfunc::min_max_caller<signed char>(src_, minVal, maxVal);
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break;
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break;
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case CV_16U:
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case CV_16U:
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mathfunc::min_max_caller<unsigned short>(src, minVal, maxVal);
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mathfunc::min_max_caller<unsigned short>(src_, minVal, maxVal);
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break;
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break;
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case CV_16S:
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case CV_16S:
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mathfunc::min_max_caller<signed short>(src, minVal, maxVal);
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mathfunc::min_max_caller<signed short>(src_, minVal, maxVal);
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break;
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break;
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case CV_32S:
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case CV_32S:
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mathfunc::min_max_caller<int>(src, minVal, maxVal);
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mathfunc::min_max_caller<int>(src_, minVal, maxVal);
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break;
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break;
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case CV_32F:
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case CV_32F:
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mathfunc::min_max_caller<float>(src, minVal, maxVal);
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mathfunc::min_max_caller<float>(src_, minVal, maxVal);
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break;
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break;
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case CV_64F:
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case CV_64F:
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mathfunc::min_max_caller<double>(src, minVal, maxVal);
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mathfunc::min_max_caller<double>(src_, minVal, maxVal);
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break;
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break;
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default:
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default:
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CV_Error(CV_StsBadArg, "Unsupported type");
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CV_Error(CV_StsBadArg, "Unsupported type");
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@ -678,22 +678,23 @@ struct CV_GpuMinMaxTest: public CvTest
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void run(int)
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void run(int)
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{
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{
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for (int type = CV_8U; type <= CV_64F; ++type)
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for (int cn = 1; cn <= 4; ++cn)
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for (int depth = CV_8U; depth <= CV_64F; ++depth)
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{
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{
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int rows = 1, cols = 3;
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int rows = 1, cols = 3;
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test(rows, cols, type);
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test(rows, cols, cn, depth);
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for (int i = 0; i < 4; ++i)
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for (int i = 0; i < 4; ++i)
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{
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{
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int rows = 1 + rand() % 1000;
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int rows = 1 + rand() % 1000;
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int cols = 1 + rand() % 1000;
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int cols = 1 + rand() % 1000;
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test(rows, cols, type);
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test(rows, cols, cn, depth);
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}
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}
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}
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}
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}
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}
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void test(int rows, int cols, int type)
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void test(int rows, int cols, int cn, int depth)
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{
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{
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cv::Mat src(rows, cols, type);
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cv::Mat src(rows, cols, CV_MAKE_TYPE(depth, cn));
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cv::RNG rng;
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cv::RNG rng;
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for (int i = 0; i < src.rows; ++i)
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for (int i = 0; i < src.rows; ++i)
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{
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{
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@ -702,20 +703,21 @@ struct CV_GpuMinMaxTest: public CvTest
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}
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}
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double minVal, maxVal;
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double minVal, maxVal;
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if (type != CV_8S)
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Mat src_ = src.reshape(1);
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if (depth != CV_8S)
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{
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{
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cv::Point minLoc, maxLoc;
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cv::Point minLoc, maxLoc;
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cv::minMaxLoc(src, &minVal, &maxVal, &minLoc, &maxLoc);
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cv::minMaxLoc(src_, &minVal, &maxVal, &minLoc, &maxLoc);
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}
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}
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else
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else
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{
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{
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// OpenCV's minMaxLoc doesn't support CV_8S type
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// OpenCV's minMaxLoc doesn't support CV_8S type
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minVal = std::numeric_limits<double>::max();
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minVal = std::numeric_limits<double>::max();
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maxVal = std::numeric_limits<double>::min();
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maxVal = std::numeric_limits<double>::min();
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for (int i = 0; i < src.rows; ++i)
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for (int i = 0; i < src_.rows; ++i)
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for (int j = 0; j < src.cols; ++j)
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for (int j = 0; j < src_.cols; ++j)
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{
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{
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char val = src.at<char>(i, j);
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char val = src_.at<char>(i, j);
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if (val < minVal) minVal = val;
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if (val < minVal) minVal = val;
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if (val > maxVal) maxVal = val;
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if (val > maxVal) maxVal = val;
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}
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}
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