--- /dev/null
+/*M///////////////////////////////////////////////////////////////////////////////////////
+//
+// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+//
+// By downloading, copying, installing or using the software you agree to this license.
+// If you do not agree to this license, do not download, install,
+// copy or use the software.
+//
+//
+// License Agreement
+// For Open Source Computer Vision Library
+//
+// Copyright (C) 2010-2012, Institute Of Software Chinese Academy Of Science, all rights reserved.
+// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
+// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
+// Third party copyrights are property of their respective owners.
+//
+// @Authors
+// Niko Li, newlife20080214@gmail.com
+// Jia Haipeng, jiahaipeng95@gmail.com
+// Shengen Yan, yanshengen@gmail.com
+// Jiang Liyuan, lyuan001.good@163.com
+// Rock Li, Rock.Li@amd.com
+// Wu Zailong, bullet@yeah.net
+// Xu Pang, pangxu010@163.com
+// Sen Liu, swjtuls1987@126.com
+//
+// Redistribution and use in source and binary forms, with or without modification,
+// are permitted provided that the following conditions are met:
+//
+// * Redistribution's of source code must retain the above copyright notice,
+// this list of conditions and the following disclaimer.
+//
+// * Redistribution's in binary form must reproduce the above copyright notice,
+// this list of conditions and the following disclaimer in the documentation
+// and/or other materials provided with the distribution.
+//
+// * The name of the copyright holders may not be used to endorse or promote products
+// derived from this software without specific prior written permission.
+//
+// This software is provided by the copyright holders and contributors "as is" and
+// any express or implied warranties, including, but not limited to, the implied
+// warranties of merchantability and fitness for a particular purpose are disclaimed.
+// In no event shall the Intel Corporation or contributors be liable for any direct,
+// indirect, incidental, special, exemplary, or consequential damages
+// (including, but not limited to, procurement of substitute goods or services;
+// loss of use, data, or profits; or business interruption) however caused
+// and on any theory of liability, whether in contract, strict liability,
+// or tort (including negligence or otherwise) arising in any way out of
+// the use of this software, even if advised of the possibility of such damage.
+//
+//M*/
+
+#include "test_precomp.hpp"
+#include "cvconfig.h"
+#include "opencv2/ts/ocl_test.hpp"
+
+#ifdef HAVE_OPENCL
+
+namespace cvtest {
+namespace ocl {
+
+///////////////////////////////////////////////////////////////////////////////
+
+PARAM_TEST_CASE(ImgprocTestBase, MatType,
+ int, // blockSize
+ int, // border type
+ bool) // roi or not
+{
+ int type, borderType, blockSize;
+ bool useRoi;
+
+ TEST_DECLARE_INPUT_PARAMETER(src)
+ TEST_DECLARE_OUTPUT_PARAMETER(dst)
+
+ virtual void SetUp()
+ {
+ type = GET_PARAM(0);
+ blockSize = GET_PARAM(1);
+ borderType = GET_PARAM(2);
+ useRoi = GET_PARAM(3);
+ }
+
+ virtual void random_roi()
+ {
+ Size roiSize = randomSize(1, MAX_VALUE);
+ Border srcBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
+ randomSubMat(src, src_roi, roiSize, srcBorder, type, 5, 256);
+
+ Border dstBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
+ randomSubMat(dst, dst_roi, roiSize, dstBorder, type, 5, 16);
+
+ UMAT_UPLOAD_INPUT_PARAMETER(src)
+ UMAT_UPLOAD_OUTPUT_PARAMETER(dst)
+ }
+
+ void Near(double threshold = 0.0, bool relative = false)
+ {
+ if (relative)
+ {
+ EXPECT_MAT_NEAR_RELATIVE(dst, udst, threshold);
+ EXPECT_MAT_NEAR_RELATIVE(dst_roi, udst_roi, threshold);
+ }
+ else
+ {
+ EXPECT_MAT_NEAR(dst, udst, threshold);
+ EXPECT_MAT_NEAR(dst_roi, udst_roi, threshold);
+ }
+ }
+};
+
+////////////////////////////////copyMakeBorder////////////////////////////////////////////
+
+PARAM_TEST_CASE(CopyMakeBorder, MatDepth, // depth
+ Channels, // channels
+ bool, // isolated or not
+ BorderType, // border type
+ bool) // roi or not
+{
+ int type, borderType;
+ bool useRoi;
+
+ TestUtils::Border border;
+ Scalar val;
+
+ TEST_DECLARE_INPUT_PARAMETER(src)
+ TEST_DECLARE_OUTPUT_PARAMETER(dst)
+
+ virtual void SetUp()
+ {
+ type = CV_MAKE_TYPE(GET_PARAM(0), GET_PARAM(1));
+ borderType = GET_PARAM(3);
+
+ if (GET_PARAM(2))
+ borderType |= BORDER_ISOLATED;
+
+ useRoi = GET_PARAM(4);
+ }
+
+ void random_roi()
+ {
+ border = randomBorder(0, MAX_VALUE << 2);
+ val = randomScalar(-MAX_VALUE, MAX_VALUE);
+
+ Size roiSize = randomSize(1, MAX_VALUE);
+ Border srcBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
+ randomSubMat(src, src_roi, roiSize, srcBorder, type, -MAX_VALUE, MAX_VALUE);
+
+ Border dstBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
+ dstBorder.top += border.top;
+ dstBorder.lef += border.lef;
+ dstBorder.rig += border.rig;
+ dstBorder.bot += border.bot;
+
+ randomSubMat(dst, dst_roi, roiSize, dstBorder, type, -MAX_VALUE, MAX_VALUE);
+
+ UMAT_UPLOAD_INPUT_PARAMETER(src)
+ UMAT_UPLOAD_OUTPUT_PARAMETER(dst)
+ }
+
+ void Near(double threshold = 0.0)
+ {
+ EXPECT_MAT_NEAR(dst, udst, threshold);
+ EXPECT_MAT_NEAR(dst_roi, udst_roi, threshold);
+ }
+};
+
+OCL_TEST_P(CopyMakeBorder, Mat)
+{
+ for (int i = 0; i < test_loop_times; ++i)
+ {
+ random_roi();
+
+ OCL_OFF(cv::copyMakeBorder(src_roi, dst_roi, border.top, border.bot, border.lef, border.rig, borderType, val));
+ OCL_ON(cv::copyMakeBorder(usrc_roi, udst_roi, border.top, border.bot, border.lef, border.rig, borderType, val));
+
+ Near();
+ }
+}
+
+////////////////////////////////equalizeHist//////////////////////////////////////////////
+
+typedef ImgprocTestBase EqualizeHist;
+
+OCL_TEST_P(EqualizeHist, Mat)
+{
+ for (int j = 0; j < test_loop_times; j++)
+ {
+ random_roi();
+
+ OCL_OFF(cv::equalizeHist(src_roi, dst_roi));
+ OCL_ON(cv::equalizeHist(usrc_roi, udst_roi));
+
+ Near(1.1);
+ }
+}
+
+////////////////////////////////cornerMinEigenVal//////////////////////////////////////////
+
+struct CornerTestBase :
+ public ImgprocTestBase
+{
+ virtual void random_roi()
+ {
+ Mat image = readImageType("gpu/stereobm/aloe-L.png", type);
+ ASSERT_FALSE(image.empty());
+
+ bool isFP = CV_MAT_DEPTH(type) >= CV_32F;
+ float val = 255.0f;
+ if (isFP)
+ {
+ image.convertTo(image, -1, 1.0 / 255);
+ val /= 255.0f;
+ }
+
+ Size roiSize = image.size();
+ Border srcBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
+
+ Size wholeSize = Size(roiSize.width + srcBorder.lef + srcBorder.rig, roiSize.height + srcBorder.top + srcBorder.bot);
+ src = randomMat(wholeSize, type, -val, val, false);
+ src_roi = src(Rect(srcBorder.lef, srcBorder.top, roiSize.width, roiSize.height));
+ image.copyTo(src_roi);
+
+ Border dstBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
+ randomSubMat(dst, dst_roi, roiSize, dstBorder, CV_32FC1, 5, 16);
+
+ UMAT_UPLOAD_INPUT_PARAMETER(src)
+ UMAT_UPLOAD_OUTPUT_PARAMETER(dst)
+ }
+};
+
+typedef CornerTestBase CornerMinEigenVal;
+
+OCL_TEST_P(CornerMinEigenVal, DISABLED_Mat)
+{
+ for (int j = 0; j < test_loop_times; j++)
+ {
+ random_roi();
+
+ int apertureSize = 3;
+
+ OCL_OFF(cv::cornerMinEigenVal(src_roi, dst_roi, blockSize, apertureSize, borderType));
+ OCL_ON(cv::cornerMinEigenVal(usrc_roi, udst_roi, blockSize, apertureSize, borderType));
+
+ Near(1e-5, true);
+ }
+}
+
+////////////////////////////////cornerHarris//////////////////////////////////////////
+
+typedef CornerTestBase CornerHarris;
+
+OCL_TEST_P(CornerHarris, DISABLED_Mat)
+{
+ for (int j = 0; j < test_loop_times; j++)
+ {
+ random_roi();
+
+ int apertureSize = 3;
+ double k = randomDouble(0.01, 0.9);
+
+ OCL_OFF(cv::cornerHarris(src_roi, dst_roi, blockSize, apertureSize, k, borderType));
+ OCL_ON(cv::cornerHarris(usrc_roi, udst_roi, blockSize, apertureSize, k, borderType));
+
+ Near(1e-5, true);
+ }
+}
+
+//////////////////////////////////integral/////////////////////////////////////////////////
+
+struct Integral :
+ public ImgprocTestBase
+{
+ int sdepth;
+
+ virtual void SetUp()
+ {
+ type = GET_PARAM(0);
+ blockSize = GET_PARAM(1);
+ sdepth = GET_PARAM(2);
+ useRoi = GET_PARAM(3);
+ }
+};
+
+OCL_TEST_P(Integral, Mat1)
+{
+ for (int j = 0; j < test_loop_times; j++)
+ {
+ random_roi();
+
+ OCL_OFF(cv::integral(src_roi, dst_roi, sdepth));
+ OCL_ON(cv::integral(usrc_roi, udst_roi, sdepth));
+
+ Near();
+ }
+}
+
+OCL_TEST_P(Integral, Mat2)
+{
+ Mat dst1;
+ UMat udst1;
+
+ for (int j = 0; j < test_loop_times; j++)
+ {
+ random_roi();
+
+ OCL_OFF(cv::integral(src_roi, dst_roi, dst1, sdepth));
+ OCL_ON(cv::integral(usrc_roi, udst_roi, udst1, sdepth));
+
+ Near();
+ if (cv::ocl::Device::getDefault().doubleFPConfig() > 0)
+ EXPECT_MAT_NEAR(dst1, udst1, 0.);
+ }
+}
+
+///////////////////////////////////////////////////////////////////////////////////////////////////
+//// threshold
+
+struct Threshold :
+ public ImgprocTestBase
+{
+ int thresholdType;
+
+ virtual void SetUp()
+ {
+ type = GET_PARAM(0);
+ blockSize = GET_PARAM(1);
+ thresholdType = GET_PARAM(2);
+ useRoi = GET_PARAM(3);
+ }
+};
+
+OCL_TEST_P(Threshold, Mat)
+{
+ for (int j = 0; j < test_loop_times; j++)
+ {
+ random_roi();
+
+ double maxVal = randomDouble(20.0, 127.0);
+ double thresh = randomDouble(0.0, maxVal);
+
+ OCL_OFF(cv::threshold(src_roi, dst_roi, thresh, maxVal, thresholdType));
+ OCL_ON(cv::threshold(usrc_roi, udst_roi, thresh, maxVal, thresholdType));
+
+ Near(1);
+ }
+}
+
+
+/////////////////////////////////////////////////////////////////////////////////////////////////////////
+//// CLAHE
+
+PARAM_TEST_CASE(CLAHETest, Size, double, bool)
+{
+ Size gridSize;
+ double clipLimit;
+ bool useRoi;
+
+ TEST_DECLARE_INPUT_PARAMETER(src)
+ TEST_DECLARE_OUTPUT_PARAMETER(dst)
+
+ virtual void SetUp()
+ {
+ gridSize = GET_PARAM(0);
+ clipLimit = GET_PARAM(1);
+ useRoi = GET_PARAM(2);
+ }
+
+ void random_roi()
+ {
+ Size roiSize = randomSize(std::max(gridSize.height, gridSize.width), MAX_VALUE);
+ Border srcBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
+ randomSubMat(src, src_roi, roiSize, srcBorder, CV_8UC1, 5, 256);
+
+ Border dstBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
+ randomSubMat(dst, dst_roi, roiSize, dstBorder, CV_8UC1, 5, 16);
+
+ UMAT_UPLOAD_INPUT_PARAMETER(src)
+ UMAT_UPLOAD_OUTPUT_PARAMETER(dst)
+ }
+
+ void Near(double threshold = 0.0)
+ {
+ EXPECT_MAT_NEAR(dst, udst, threshold);
+ EXPECT_MAT_NEAR(dst_roi, udst_roi, threshold);
+ }
+};
+
+OCL_TEST_P(CLAHETest, Accuracy)
+{
+ for (int i = 0; i < test_loop_times; ++i)
+ {
+ random_roi();
+
+ Ptr<CLAHE> clahe = cv::createCLAHE(clipLimit, gridSize);
+
+ OCL_OFF(clahe->apply(src_roi, dst_roi));
+ OCL_ON(clahe->apply(usrc_roi, udst_roi));
+
+ Near(1.0);
+ }
+}
+
+/////////////////////////////////////////////////////////////////////////////////////
+
+OCL_INSTANTIATE_TEST_CASE_P(Imgproc, EqualizeHist, Combine(
+ Values((MatType)CV_8UC1),
+ Values(0), // not used
+ Values(0), // not used
+ Bool()));
+
+OCL_INSTANTIATE_TEST_CASE_P(Imgproc, CornerMinEigenVal, Combine(
+ Values((MatType)CV_8UC1, (MatType)CV_32FC1),
+ Values(3, 5),
+ Values((int)BORDER_CONSTANT, (int)BORDER_REPLICATE, (int)BORDER_REFLECT, (int)BORDER_REFLECT101),
+ Bool()));
+
+OCL_INSTANTIATE_TEST_CASE_P(Imgproc, CornerHarris, Combine(
+ Values((MatType)CV_8UC1, CV_32FC1),
+ Values(3, 5),
+ Values( (int)BORDER_CONSTANT, (int)BORDER_REPLICATE, (int)BORDER_REFLECT, (int)BORDER_REFLECT_101),
+ Bool()));
+
+OCL_INSTANTIATE_TEST_CASE_P(Imgproc, Integral, Combine(
+ Values((MatType)CV_8UC1), // TODO does not work with CV_32F, CV_64F
+ Values(0), // not used
+ Values((MatType)CV_32SC1, (MatType)CV_32FC1),
+ Bool()));
+
+OCL_INSTANTIATE_TEST_CASE_P(Imgproc, Threshold, Combine(
+ Values(CV_8UC1, CV_8UC2, CV_8UC3, CV_8UC4,
+ CV_16SC1, CV_16SC2, CV_16SC3, CV_16SC4,
+ CV_32FC1, CV_32FC2, CV_32FC3, CV_32FC4),
+ Values(0),
+ Values(ThreshOp(THRESH_BINARY),
+ ThreshOp(THRESH_BINARY_INV), ThreshOp(THRESH_TRUNC),
+ ThreshOp(THRESH_TOZERO), ThreshOp(THRESH_TOZERO_INV)),
+ Bool()));
+
+OCL_INSTANTIATE_TEST_CASE_P(Imgproc, CLAHETest, Combine(
+ Values(Size(4, 4), Size(32, 8), Size(8, 64)),
+ Values(0.0, 10.0, 62.0, 300.0),
+ Bool()));
+
+OCL_INSTANTIATE_TEST_CASE_P(ImgprocTestBase, CopyMakeBorder, Combine(
+ testing::Values((MatDepth)CV_8U, (MatDepth)CV_16S, (MatDepth)CV_32S, (MatDepth)CV_32F),
+ testing::Values(Channels(1), Channels(3), (Channels)4),
+ Bool(), // border isolated or not
+ Values((BorderType)BORDER_REPLICATE, (BorderType)BORDER_REFLECT,
+ (BorderType)BORDER_WRAP, (BorderType)BORDER_REFLECT_101),
+ Bool()));
+
+} } // namespace cvtest::ocl
+
+#endif // HAVE_OPENCL
projects / profile / ivi / opencv.git / commitdiff