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Addition of test cases

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This commit is contained in:
Erik Karlsson
2015-03-06 20:44:31 +01:00
parent cc8d94c6fc
commit 21160137d4
1 changed files with 43 additions and 7 deletions
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50
modules/photo/test/ocl/test_denoising.cpp
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@@ -16,7 +16,7 @@ namespace ocl {
PARAM_TEST_CASE(FastNlMeansDenoisingTestBase, Channels, bool, bool) PARAM_TEST_CASE(FastNlMeansDenoisingTestBase, Channels, bool, bool)
{ {
int cn, templateWindowSize, searchWindowSize; int cn, templateWindowSize, searchWindowSize;
float h; float h[4];
bool use_roi, use_image; bool use_roi, use_image;
TEST_DECLARE_INPUT_PARAMETER(src); TEST_DECLARE_INPUT_PARAMETER(src);
@@ -30,7 +30,10 @@ PARAM_TEST_CASE(FastNlMeansDenoisingTestBase, Channels, bool, bool)
templateWindowSize = 7; templateWindowSize = 7;
searchWindowSize = 21; searchWindowSize = 21;
h = 3.0f;
ASSERT_TRUE(cn > 0 && cn <= 4);
for (int i=0; i<cn; i++)
h[i] = 3.0f + 0.5f*i;
} }
virtual void generateTestData() virtual void generateTestData()
@@ -48,7 +51,6 @@ PARAM_TEST_CASE(FastNlMeansDenoisingTestBase, Channels, bool, bool)
Border srcBorder = randomBorder(0, use_roi ? MAX_VALUE : 0); Border srcBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(src, src_roi, roiSize, srcBorder, type, 0, 255); randomSubMat(src, src_roi, roiSize, srcBorder, type, 0, 255);
if (use_image) { if (use_image) {
ASSERT_TRUE(cn == 1 || cn == 2 || cn == 3 || cn == 4);
if (cn == 2) { if (cn == 2) {
int from_to[] = { 0,0, 1,1 }; int from_to[] = { 0,0, 1,1 };
src_roi.create(roiSize, type); src_roi.create(roiSize, type);
@@ -78,6 +80,21 @@ OCL_TEST_P(FastNlMeansDenoising, Mat)
{ {
generateTestData(); generateTestData();
OCL_OFF(cv::fastNlMeansDenoising(src_roi, dst_roi, h[0], templateWindowSize, searchWindowSize));
OCL_ON(cv::fastNlMeansDenoising(usrc_roi, udst_roi, h[0], templateWindowSize, searchWindowSize));
OCL_EXPECT_MATS_NEAR(dst, 1);
}
}
typedef FastNlMeansDenoisingTestBase FastNlMeansDenoising_hsep;
OCL_TEST_P(FastNlMeansDenoising_hsep, Mat)
{
for (int j = 0; j < test_loop_times; j++)
{
generateTestData();
OCL_OFF(cv::fastNlMeansDenoising(src_roi, dst_roi, h, templateWindowSize, searchWindowSize)); OCL_OFF(cv::fastNlMeansDenoising(src_roi, dst_roi, h, templateWindowSize, searchWindowSize));
OCL_ON(cv::fastNlMeansDenoising(usrc_roi, udst_roi, h, templateWindowSize, searchWindowSize)); OCL_ON(cv::fastNlMeansDenoising(usrc_roi, udst_roi, h, templateWindowSize, searchWindowSize));
@@ -93,6 +110,21 @@ OCL_TEST_P(FastNlMeansDenoisingAbs, Mat)
{ {
generateTestData(); generateTestData();
OCL_OFF(cv::fastNlMeansDenoisingAbs(src_roi, dst_roi, h[0], templateWindowSize, searchWindowSize));
OCL_ON(cv::fastNlMeansDenoisingAbs(usrc_roi, udst_roi, h[0], templateWindowSize, searchWindowSize));
OCL_EXPECT_MATS_NEAR(dst, 1);
}
}
typedef FastNlMeansDenoisingTestBase FastNlMeansDenoisingAbs_hsep;
OCL_TEST_P(FastNlMeansDenoisingAbs_hsep, Mat)
{
for (int j = 0; j < test_loop_times; j++)
{
generateTestData();
OCL_OFF(cv::fastNlMeansDenoisingAbs(src_roi, dst_roi, h, templateWindowSize, searchWindowSize)); OCL_OFF(cv::fastNlMeansDenoisingAbs(src_roi, dst_roi, h, templateWindowSize, searchWindowSize));
OCL_ON(cv::fastNlMeansDenoisingAbs(usrc_roi, udst_roi, h, templateWindowSize, searchWindowSize)); OCL_ON(cv::fastNlMeansDenoisingAbs(usrc_roi, udst_roi, h, templateWindowSize, searchWindowSize));
@@ -108,17 +140,21 @@ OCL_TEST_P(FastNlMeansDenoisingColored, Mat)
{ {
generateTestData(); generateTestData();
OCL_OFF(cv::fastNlMeansDenoisingColored(src_roi, dst_roi, h, h, templateWindowSize, searchWindowSize)); OCL_OFF(cv::fastNlMeansDenoisingColored(src_roi, dst_roi, h[0], h[0], templateWindowSize, searchWindowSize));
OCL_ON(cv::fastNlMeansDenoisingColored(usrc_roi, udst_roi, h, h, templateWindowSize, searchWindowSize)); OCL_ON(cv::fastNlMeansDenoisingColored(usrc_roi, udst_roi, h[0], h[0], templateWindowSize, searchWindowSize));
OCL_EXPECT_MATS_NEAR(dst, 1); OCL_EXPECT_MATS_NEAR(dst, 1);
} }
} }
OCL_INSTANTIATE_TEST_CASE_P(Photo, FastNlMeansDenoising, OCL_INSTANTIATE_TEST_CASE_P(Photo, FastNlMeansDenoising,
Combine(Values(1, 2, 3, 4), Bool(), Bool())); Combine(Values(1, 2, 3, 4), Bool(), Values(true)));
OCL_INSTANTIATE_TEST_CASE_P(Photo, FastNlMeansDenoising_hsep,
Combine(Values(1, 2, 3, 4), Bool(), Values(true)));
OCL_INSTANTIATE_TEST_CASE_P(Photo, FastNlMeansDenoisingAbs, OCL_INSTANTIATE_TEST_CASE_P(Photo, FastNlMeansDenoisingAbs,
Combine(Values(1, 2, 3, 4), Bool(), Bool())); Combine(Values(1, 2, 3, 4), Bool(), Values(true)));
OCL_INSTANTIATE_TEST_CASE_P(Photo, FastNlMeansDenoisingAbs_hsep,
Combine(Values(1, 2, 3, 4), Bool(), Values(true)));
OCL_INSTANTIATE_TEST_CASE_P(Photo, FastNlMeansDenoisingColored, OCL_INSTANTIATE_TEST_CASE_P(Photo, FastNlMeansDenoisingColored,
Combine(Values(3, 4), Bool(), Values(false))); Combine(Values(3, 4), Bool(), Values(false)));