From: Ilya Lavrenov Date: Mon, 2 Dec 2013 15:44:09 +0000 (+0400) Subject: added tests to imgproc X-Git-Tag: submit/tizen_ivi/20141117.190038~2^2~819^2~2 X-Git-Url: http://review.tizen.org/git/?a=commitdiff_plain;h=5b5f5878ceaf888dbd04bb9fdf1788badd1bea42;p=profile%2Fivi%2Fopencv.git added tests to imgproc --- diff --git a/modules/imgproc/test/ocl/test_imgproc.cpp b/modules/imgproc/test/ocl/test_imgproc.cpp new file mode 100644 index 0000000..d924863 --- /dev/null +++ b/modules/imgproc/test/ocl/test_imgproc.cpp @@ -0,0 +1,455 @@ +/*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 = 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 diff --git a/modules/ts/include/opencv2/ts/ocl_test.hpp b/modules/ts/include/opencv2/ts/ocl_test.hpp index 75517c9..f6c6f5b 100644 --- a/modules/ts/include/opencv2/ts/ocl_test.hpp +++ b/modules/ts/include/opencv2/ts/ocl_test.hpp @@ -306,7 +306,8 @@ IMPLEMENT_PARAM_CLASS(Channels, int) #define OCL_ALL_CHANNELS Values(1, 2, 3, 4) CV_ENUM(Interpolation, INTER_NEAREST, INTER_LINEAR, INTER_CUBIC, INTER_AREA) -CV_ENUM(Border, BORDER_CONSTANT, BORDER_REPLICATE, BORDER_WRAP, BORDER_REFLECT, BORDER_REFLECT_101) +CV_ENUM(ThreshOp, THRESH_BINARY, THRESH_BINARY_INV, THRESH_TRUNC, THRESH_TOZERO, THRESH_TOZERO_INV) +CV_ENUM(BorderType, BORDER_REPLICATE, BORDER_REFLECT, BORDER_WRAP, BORDER_REFLECT_101) #define OCL_INSTANTIATE_TEST_CASE_P(prefix, test_case_name, generator) \ INSTANTIATE_TEST_CASE_P(OCL_ ## prefix, test_case_name, generator)