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83 lines
2.5 KiB
C++
83 lines
2.5 KiB
C++
#include "precomp.hpp"
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#include <iomanip>
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using namespace cv;
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using namespace cv::ocl;
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using namespace cvtest;
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using namespace testing;
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using namespace std;
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template <typename T>
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void blendLinearGold(const cv::Mat& img1, const cv::Mat& img2, const cv::Mat& weights1, const cv::Mat& weights2, cv::Mat& result_gold)
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{
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result_gold.create(img1.size(), img1.type());
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int cn = img1.channels();
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for (int y = 0; y < img1.rows; ++y)
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{
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const float* weights1_row = weights1.ptr<float>(y);
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const float* weights2_row = weights2.ptr<float>(y);
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const T* img1_row = img1.ptr<T>(y);
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const T* img2_row = img2.ptr<T>(y);
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T* result_gold_row = result_gold.ptr<T>(y);
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for (int x = 0; x < img1.cols * cn; ++x)
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{
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float w1 = weights1_row[x / cn];
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float w2 = weights2_row[x / cn];
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result_gold_row[x] = static_cast<T>((img1_row[x] * w1 + img2_row[x] * w2) / (w1 + w2 + 1e-5f));
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}
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}
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}
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PARAM_TEST_CASE(Blend, cv::Size, MatType/*, UseRoi*/)
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{
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//std::vector<cv::ocl::Info> oclinfo;
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cv::Size size;
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int type;
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bool useRoi;
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virtual void SetUp()
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{
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//devInfo = GET_PARAM(0);
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size = GET_PARAM(0);
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type = GET_PARAM(1);
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/*useRoi = GET_PARAM(3);*/
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//int devnums = getDevice(oclinfo, OPENCV_DEFAULT_OPENCL_DEVICE);
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//CV_Assert(devnums > 0);
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}
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};
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TEST_P(Blend, Accuracy)
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{
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int depth = CV_MAT_DEPTH(type);
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cv::Mat img1 = randomMat(size, type, 0.0, depth == CV_8U ? 255.0 : 1.0);
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cv::Mat img2 = randomMat(size, type, 0.0, depth == CV_8U ? 255.0 : 1.0);
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cv::Mat weights1 = randomMat(size, CV_32F, 0, 1);
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cv::Mat weights2 = randomMat(size, CV_32F, 0, 1);
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cv::ocl::oclMat gimg1(size, type), gimg2(size, type), gweights1(size, CV_32F), gweights2(size, CV_32F);
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cv::ocl::oclMat dst(size, type);
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gimg1.upload(img1);
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gimg2.upload(img2);
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gweights1.upload(weights1);
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gweights2.upload(weights2);
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cv::ocl::blendLinear(gimg1, gimg2, gweights1, gweights2, dst);
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cv::Mat result;
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cv::Mat result_gold;
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dst.download(result);
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if (depth == CV_8U)
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blendLinearGold<uchar>(img1, img2, weights1, weights2, result_gold);
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else
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blendLinearGold<float>(img1, img2, weights1, weights2, result_gold);
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EXPECT_MAT_NEAR(result_gold, result, CV_MAT_DEPTH(type) == CV_8U ? 1 : 1e-5f, NULL)
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}
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INSTANTIATE_TEST_CASE_P(GPU_ImgProc, Blend, Combine(
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DIFFERENT_SIZES,
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testing::Values(MatType(CV_8UC1), MatType(CV_8UC3),MatType(CV_8UC4), MatType(CV_32FC1), MatType(CV_32FC4))
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)); |