#include "precomp.hpp" #include using namespace cv; using namespace cv::ocl; using namespace cvtest; using namespace testing; using namespace std; #ifdef HAVE_OPENCL template void blendLinearGold(const cv::Mat &img1, const cv::Mat &img2, const cv::Mat &weights1, const cv::Mat &weights2, cv::Mat &result_gold) { result_gold.create(img1.size(), img1.type()); int cn = img1.channels(); for (int y = 0; y < img1.rows; ++y) { const float *weights1_row = weights1.ptr(y); const float *weights2_row = weights2.ptr(y); const T *img1_row = img1.ptr(y); const T *img2_row = img2.ptr(y); T *result_gold_row = result_gold.ptr(y); for (int x = 0; x < img1.cols * cn; ++x) { float w1 = weights1_row[x / cn]; float w2 = weights2_row[x / cn]; result_gold_row[x] = static_cast((img1_row[x] * w1 + img2_row[x] * w2) / (w1 + w2 + 1e-5f)); } } } PARAM_TEST_CASE(Blend, cv::Size, MatType/*, UseRoi*/) { cv::Size size; int type; bool useRoi; virtual void SetUp() { size = GET_PARAM(0); type = GET_PARAM(1); } }; TEST_P(Blend, Accuracy) { int depth = CV_MAT_DEPTH(type); cv::Mat img1 = randomMat(size, type, 0.0, depth == CV_8U ? 255.0 : 1.0); cv::Mat img2 = randomMat(size, type, 0.0, depth == CV_8U ? 255.0 : 1.0); cv::Mat weights1 = randomMat(size, CV_32F, 0, 1); cv::Mat weights2 = randomMat(size, CV_32F, 0, 1); cv::ocl::oclMat gimg1(img1), gimg2(img2), gweights1(weights1), gweights2(weights2); cv::ocl::oclMat dst; cv::ocl::blendLinear(gimg1, gimg2, gweights1, gweights2, dst); cv::Mat result; cv::Mat result_gold; dst.download(result); if (depth == CV_8U) blendLinearGold(img1, img2, weights1, weights2, result_gold); else blendLinearGold(img1, img2, weights1, weights2, result_gold); EXPECT_MAT_NEAR(result_gold, result, CV_MAT_DEPTH(type) == CV_8U ? 1.f : 1e-5f, 0); } INSTANTIATE_TEST_CASE_P(GPU_ImgProc, Blend, Combine( DIFFERENT_SIZES, testing::Values(MatType(CV_8UC1), MatType(CV_8UC3), MatType(CV_8UC4), MatType(CV_32FC1), MatType(CV_32FC4)) )); #endif