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replaced GPU -> CUDA

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This commit is contained in:
Vladislav Vinogradov
2013-07-24 13:55:18 +04:00
parent 3c34b24f1f
commit fd88654b45
172 changed files with 2434 additions and 2436 deletions
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22
modules/cudaimgproc/test/test_match_template.cpp
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@@ -77,7 +77,7 @@ PARAM_TEST_CASE(MatchTemplate8U, cv::cuda::DeviceInfo, cv::Size, TemplateSize, C
}
};
GPU_TEST_P(MatchTemplate8U, Accuracy)
CUDA_TEST_P(MatchTemplate8U, Accuracy)
{
cv::Mat image = randomMat(size, CV_MAKETYPE(CV_8U, cn));
cv::Mat templ = randomMat(templ_size, CV_MAKETYPE(CV_8U, cn));
@@ -93,7 +93,7 @@ GPU_TEST_P(MatchTemplate8U, Accuracy)
EXPECT_MAT_NEAR(dst_gold, dst, templ_size.area() * 1e-1);
}
INSTANTIATE_TEST_CASE_P(GPU_ImgProc, MatchTemplate8U, testing::Combine(
INSTANTIATE_TEST_CASE_P(CUDA_ImgProc, MatchTemplate8U, testing::Combine(
ALL_DEVICES,
DIFFERENT_SIZES,
testing::Values(TemplateSize(cv::Size(5, 5)), TemplateSize(cv::Size(16, 16)), TemplateSize(cv::Size(30, 30))),
@@ -125,7 +125,7 @@ PARAM_TEST_CASE(MatchTemplate32F, cv::cuda::DeviceInfo, cv::Size, TemplateSize,
}
};
GPU_TEST_P(MatchTemplate32F, Regression)
CUDA_TEST_P(MatchTemplate32F, Regression)
{
cv::Mat image = randomMat(size, CV_MAKETYPE(CV_32F, cn));
cv::Mat templ = randomMat(templ_size, CV_MAKETYPE(CV_32F, cn));
@@ -141,7 +141,7 @@ GPU_TEST_P(MatchTemplate32F, Regression)
EXPECT_MAT_NEAR(dst_gold, dst, templ_size.area() * 1e-1);
}
INSTANTIATE_TEST_CASE_P(GPU_ImgProc, MatchTemplate32F, testing::Combine(
INSTANTIATE_TEST_CASE_P(CUDA_ImgProc, MatchTemplate32F, testing::Combine(
ALL_DEVICES,
DIFFERENT_SIZES,
testing::Values(TemplateSize(cv::Size(5, 5)), TemplateSize(cv::Size(16, 16)), TemplateSize(cv::Size(30, 30))),
@@ -165,7 +165,7 @@ PARAM_TEST_CASE(MatchTemplateBlackSource, cv::cuda::DeviceInfo, TemplateMethod)
}
};
GPU_TEST_P(MatchTemplateBlackSource, Accuracy)
CUDA_TEST_P(MatchTemplateBlackSource, Accuracy)
{
cv::Mat image = readImage("matchtemplate/black.png");
ASSERT_FALSE(image.empty());
@@ -189,7 +189,7 @@ GPU_TEST_P(MatchTemplateBlackSource, Accuracy)
ASSERT_EQ(maxLocGold, maxLoc);
}
INSTANTIATE_TEST_CASE_P(GPU_ImgProc, MatchTemplateBlackSource, testing::Combine(
INSTANTIATE_TEST_CASE_P(CUDA_ImgProc, MatchTemplateBlackSource, testing::Combine(
ALL_DEVICES,
testing::Values(TemplateMethod(cv::TM_CCOEFF_NORMED), TemplateMethod(cv::TM_CCORR_NORMED))));
@@ -212,7 +212,7 @@ PARAM_TEST_CASE(MatchTemplate_CCOEF_NORMED, cv::cuda::DeviceInfo, std::pair<std:
}
};
GPU_TEST_P(MatchTemplate_CCOEF_NORMED, Accuracy)
CUDA_TEST_P(MatchTemplate_CCOEF_NORMED, Accuracy)
{
cv::Mat image = readImage(imageName);
ASSERT_FALSE(image.empty());
@@ -244,7 +244,7 @@ GPU_TEST_P(MatchTemplate_CCOEF_NORMED, Accuracy)
ASSERT_GE(minVal, -1.0);
}
INSTANTIATE_TEST_CASE_P(GPU_ImgProc, MatchTemplate_CCOEF_NORMED, testing::Combine(
INSTANTIATE_TEST_CASE_P(CUDA_ImgProc, MatchTemplate_CCOEF_NORMED, testing::Combine(
ALL_DEVICES,
testing::Values(std::make_pair(std::string("matchtemplate/source-0.png"), std::string("matchtemplate/target-0.png")))));
@@ -263,7 +263,7 @@ struct MatchTemplate_CanFindBigTemplate : testing::TestWithParam<cv::cuda::Devic
}
};
GPU_TEST_P(MatchTemplate_CanFindBigTemplate, SQDIFF_NORMED)
CUDA_TEST_P(MatchTemplate_CanFindBigTemplate, SQDIFF_NORMED)
{
cv::Mat scene = readImage("matchtemplate/scene.png");
ASSERT_FALSE(scene.empty());
@@ -288,7 +288,7 @@ GPU_TEST_P(MatchTemplate_CanFindBigTemplate, SQDIFF_NORMED)
ASSERT_EQ(0, minLoc.y);
}
GPU_TEST_P(MatchTemplate_CanFindBigTemplate, SQDIFF)
CUDA_TEST_P(MatchTemplate_CanFindBigTemplate, SQDIFF)
{
cv::Mat scene = readImage("matchtemplate/scene.png");
ASSERT_FALSE(scene.empty());
@@ -312,6 +312,6 @@ GPU_TEST_P(MatchTemplate_CanFindBigTemplate, SQDIFF)
ASSERT_EQ(0, minLoc.y);
}
INSTANTIATE_TEST_CASE_P(GPU_ImgProc, MatchTemplate_CanFindBigTemplate, ALL_DEVICES);
INSTANTIATE_TEST_CASE_P(CUDA_ImgProc, MatchTemplate_CanFindBigTemplate, ALL_DEVICES);
#endif // HAVE_CUDA