opencv/modules/gpu/test/test_blend.cpp

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2011-04-08 07:21:47 +02:00
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#include "test_precomp.hpp"
using namespace std;
using namespace cv;
using namespace cv::gpu;
TEST(blendLinear, accuracy_on_8U)
{
Size size(607, 1021);
RNG rng(0);
for (int cn = 1; cn <= 4; ++cn)
{
Mat img1 = cvtest::randomMat(rng, size, CV_MAKE_TYPE(CV_8U, cn), 0, 255, false);
Mat img2 = cvtest::randomMat(rng, size, CV_MAKE_TYPE(CV_8U, cn), 0, 255, false);
Mat weights1 = cvtest::randomMat(rng, size, CV_32F, 0, 1, false);
Mat weights2 = cvtest::randomMat(rng, size, CV_32F, 0, 1, false);
Mat result_gold(size, CV_MAKE_TYPE(CV_8U, cn));
for (int y = 0; y < size.height; ++y)
for (int x = 0; x < size.width * cn; ++x)
{
float w1 = weights1.at<float>(y, x / cn);
float w2 = weights2.at<float>(y, x / cn);
result_gold.at<uchar>(y, x) = static_cast<uchar>(
(img1.at<uchar>(y, x) * w1 + img2.at<uchar>(y, x) * w2) / (w1 + w2 + 1e-5f));
}
GpuMat d_result;
blendLinear(GpuMat(img1), GpuMat(img2), GpuMat(weights1), GpuMat(weights2), d_result);
ASSERT_LE(cvtest::norm(result_gold, Mat(d_result), NORM_INF), 1) << ", cn=" << cn;
}
}
TEST(blendLinear, accuracy_on_32F)
{
Size size(607, 1021);
RNG rng(0);
for (int cn = 1; cn <= 4; ++cn)
{
Mat img1 = cvtest::randomMat(rng, size, CV_MAKE_TYPE(CV_32F, cn), 0, 1, false);
Mat img2 = cvtest::randomMat(rng, size, CV_MAKE_TYPE(CV_32F, cn), 0, 1, false);
Mat weights1 = cvtest::randomMat(rng, size, CV_32F, 0, 1, false);
Mat weights2 = cvtest::randomMat(rng, size, CV_32F, 0, 1, false);
Mat result_gold(size, CV_MAKE_TYPE(CV_32F, cn));
for (int y = 0; y < size.height; ++y)
for (int x = 0; x < size.width * cn; ++x)
{
float w1 = weights1.at<float>(y, x / cn);
float w2 = weights2.at<float>(y, x / cn);
result_gold.at<float>(y, x) =
(img1.at<float>(y, x) * w1 + img2.at<float>(y, x) * w2) / (w1 + w2 + 1e-5f);
}
GpuMat d_result;
blendLinear(GpuMat(img1), GpuMat(img2), GpuMat(weights1), GpuMat(weights2), d_result);
ASSERT_LE(cvtest::norm(result_gold, Mat(d_result), NORM_INF), 1e-3) << ", cn=" << cn;
}
}