mirror of
https://github.com/opencv/opencv.git
synced 2024-11-27 04:36:36 +08:00
96 lines
2.7 KiB
C++
96 lines
2.7 KiB
C++
// This file is part of OpenCV project.
|
|
// It is subject to the license terms in the LICENSE file found in the top-level directory
|
|
// of this distribution and at http://opencv.org/license.html.
|
|
|
|
// Copyright (C) 2014, Advanced Micro Devices, Inc., all rights reserved.
|
|
// Third party copyrights are property of their respective owners.
|
|
|
|
#include "test_precomp.hpp"
|
|
#include "opencv2/ts/ocl_test.hpp"
|
|
|
|
#ifdef HAVE_OPENCL
|
|
|
|
namespace cvtest {
|
|
namespace ocl {
|
|
|
|
PARAM_TEST_CASE(FastNlMeansDenoisingTestBase, Channels, bool)
|
|
{
|
|
int cn, templateWindowSize, searchWindowSize;
|
|
float h;
|
|
bool use_roi;
|
|
|
|
TEST_DECLARE_INPUT_PARAMETER(src);
|
|
TEST_DECLARE_OUTPUT_PARAMETER(dst);
|
|
|
|
virtual void SetUp()
|
|
{
|
|
cn = GET_PARAM(0);
|
|
use_roi = GET_PARAM(1);
|
|
|
|
templateWindowSize = 7;
|
|
searchWindowSize = 21;
|
|
h = 3.0f;
|
|
}
|
|
|
|
virtual void generateTestData()
|
|
{
|
|
Mat image;
|
|
if (cn == 1)
|
|
{
|
|
image = readImage("denoising/lena_noised_gaussian_sigma=10.png", IMREAD_GRAYSCALE);
|
|
ASSERT_FALSE(image.empty());
|
|
}
|
|
|
|
const int type = CV_8UC(cn);
|
|
|
|
Size roiSize = cn == 1 ? image.size() : randomSize(1, MAX_VALUE);
|
|
Border srcBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
|
|
randomSubMat(src, src_roi, roiSize, srcBorder, type, 0, 255);
|
|
if (cn == 1)
|
|
image.copyTo(src_roi);
|
|
|
|
Border dstBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
|
|
randomSubMat(dst, dst_roi, roiSize, dstBorder, type, 0, 255);
|
|
|
|
UMAT_UPLOAD_INPUT_PARAMETER(src);
|
|
UMAT_UPLOAD_OUTPUT_PARAMETER(dst);
|
|
}
|
|
};
|
|
|
|
typedef FastNlMeansDenoisingTestBase FastNlMeansDenoising;
|
|
|
|
OCL_TEST_P(FastNlMeansDenoising, Mat)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
OCL_OFF(cv::fastNlMeansDenoising(src_roi, dst_roi, h, templateWindowSize, searchWindowSize));
|
|
OCL_ON(cv::fastNlMeansDenoising(usrc_roi, udst_roi, h, templateWindowSize, searchWindowSize));
|
|
|
|
OCL_EXPECT_MATS_NEAR(dst, 1);
|
|
}
|
|
}
|
|
|
|
typedef FastNlMeansDenoisingTestBase fastNlMeansDenoisingColored;
|
|
|
|
OCL_TEST_P(fastNlMeansDenoisingColored, Mat)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
OCL_OFF(cv::fastNlMeansDenoisingColored(src_roi, dst_roi, h, h, templateWindowSize, searchWindowSize));
|
|
OCL_ON(cv::fastNlMeansDenoisingColored(usrc_roi, udst_roi, h, h, templateWindowSize, searchWindowSize));
|
|
|
|
OCL_EXPECT_MATS_NEAR(dst, 1);
|
|
}
|
|
}
|
|
|
|
OCL_INSTANTIATE_TEST_CASE_P(Photo, FastNlMeansDenoising, Combine(Values(1, 2), Bool()));
|
|
OCL_INSTANTIATE_TEST_CASE_P(Photo, fastNlMeansDenoisingColored, Combine(Values(Channels(3)), Bool()));
|
|
|
|
} } // namespace cvtest::ocl
|
|
|
|
#endif // HAVE_OPENCL
|