/*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) 2010-2013, Advanced Micro Devices, Inc., all rights reserved. // Third party copyrights are property of their respective owners. // // 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 OpenCV Foundation 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 "opencv2/ts/ocl_test.hpp" #include #ifdef HAVE_OPENCL namespace cvtest { namespace ocl { //////////////////////////////// LUT ///////////////////////////////////////////////// PARAM_TEST_CASE(Lut, MatDepth, MatDepth, Channels, bool, bool) { int src_depth, lut_depth; int cn; bool use_roi, same_cn; TEST_DECLARE_INPUT_PARAMETER(src); TEST_DECLARE_INPUT_PARAMETER(lut); TEST_DECLARE_OUTPUT_PARAMETER(dst); virtual void SetUp() { src_depth = GET_PARAM(0); lut_depth = GET_PARAM(1); cn = GET_PARAM(2); same_cn = GET_PARAM(3); use_roi = GET_PARAM(4); } void generateTestData() { const int src_type = CV_MAKE_TYPE(src_depth, cn); const int lut_type = CV_MAKE_TYPE(lut_depth, same_cn ? cn : 1); const int dst_type = CV_MAKE_TYPE(lut_depth, cn); Size roiSize = randomSize(1, MAX_VALUE); Border srcBorder = randomBorder(0, use_roi ? MAX_VALUE : 0); randomSubMat(src, src_roi, roiSize, srcBorder, src_type, 0, 256); Size lutRoiSize = Size(256, 1); Border lutBorder = randomBorder(0, use_roi ? MAX_VALUE : 0); randomSubMat(lut, lut_roi, lutRoiSize, lutBorder, lut_type, 5, 16); Border dstBorder = randomBorder(0, use_roi ? MAX_VALUE : 0); randomSubMat(dst, dst_roi, roiSize, dstBorder, dst_type, 5, 16); UMAT_UPLOAD_INPUT_PARAMETER(src); UMAT_UPLOAD_INPUT_PARAMETER(lut); UMAT_UPLOAD_OUTPUT_PARAMETER(dst); } void Near(double threshold = 0.) { OCL_EXPECT_MATS_NEAR(dst, threshold); } }; OCL_TEST_P(Lut, Mat) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::LUT(src_roi, lut_roi, dst_roi)); OCL_ON(cv::LUT(usrc_roi, ulut_roi, udst_roi)); Near(); } } ///////////////////////// ArithmTestBase /////////////////////////// PARAM_TEST_CASE(ArithmTestBase, MatDepth, Channels, bool) { int depth; int cn; bool use_roi; cv::Scalar val; cv::Scalar val_in_range; TEST_DECLARE_INPUT_PARAMETER(src1); TEST_DECLARE_INPUT_PARAMETER(src2); TEST_DECLARE_INPUT_PARAMETER(mask); TEST_DECLARE_OUTPUT_PARAMETER(dst1); TEST_DECLARE_OUTPUT_PARAMETER(dst2); virtual void SetUp() { depth = GET_PARAM(0); cn = GET_PARAM(1); use_roi = GET_PARAM(2); } void generateTestData(bool with_val_in_range = false) { const int type = CV_MAKE_TYPE(depth, cn); double minV = getMinVal(type); double maxV = getMaxVal(type); Size roiSize = randomSize(1, MAX_VALUE); Border src1Border = randomBorder(0, use_roi ? MAX_VALUE : 0); randomSubMat(src1, src1_roi, roiSize, src1Border, type, 2, 11); // FIXIT: Test with minV, maxV Border src2Border = randomBorder(0, use_roi ? MAX_VALUE : 0); randomSubMat(src2, src2_roi, roiSize, src2Border, type, std::max(-1540., minV), std::min(1740., maxV)); Border dst1Border = randomBorder(0, use_roi ? MAX_VALUE : 0); randomSubMat(dst1, dst1_roi, roiSize, dst1Border, type, 5, 16); Border dst2Border = randomBorder(0, use_roi ? MAX_VALUE : 0); randomSubMat(dst2, dst2_roi, roiSize, dst2Border, type, 5, 16); Border maskBorder = randomBorder(0, use_roi ? MAX_VALUE : 0); randomSubMat(mask, mask_roi, roiSize, maskBorder, CV_8UC1, 0, 2); cv::threshold(mask, mask, 0.5, 255., CV_8UC1); *mask.ptr(0) = 255; // prevent test case with mask filled 0 only val = cv::Scalar(rng.uniform(-100.0, 100.0), rng.uniform(-100.0, 100.0), rng.uniform(-100.0, 100.0), rng.uniform(-100.0, 100.0)); if (with_val_in_range) { val_in_range = cv::Scalar(rng.uniform(minV, maxV), rng.uniform(minV, maxV), rng.uniform(minV, maxV), rng.uniform(minV, maxV)); } UMAT_UPLOAD_INPUT_PARAMETER(src1); UMAT_UPLOAD_INPUT_PARAMETER(src2); UMAT_UPLOAD_INPUT_PARAMETER(mask); UMAT_UPLOAD_OUTPUT_PARAMETER(dst1); UMAT_UPLOAD_OUTPUT_PARAMETER(dst2); } void Near(double threshold = 0., bool relative = false) { if (!relative) OCL_EXPECT_MATS_NEAR(dst1, threshold); else OCL_EXPECT_MATS_NEAR_RELATIVE(dst1, threshold); } void Near1(double threshold = 0.) { OCL_EXPECT_MATS_NEAR(dst2, threshold); } }; //////////////////////////////// Add ///////////////////////////////////////////////// typedef ArithmTestBase Add; OCL_TEST_P(Add, Mat) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::add(src1_roi, src2_roi, dst1_roi)); OCL_ON(cv::add(usrc1_roi, usrc2_roi, udst1_roi)); Near(0); } } OCL_TEST_P(Add, Mat_Mask) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::add(src1_roi, src2_roi, dst1_roi, mask_roi)); OCL_ON(cv::add(usrc1_roi, usrc2_roi, udst1_roi, umask_roi)); Near(0); } } OCL_TEST_P(Add, Scalar) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::add(src1_roi, val, dst1_roi)); OCL_ON(cv::add(val, usrc1_roi, udst1_roi)); Near(1e-5); } } OCL_TEST_P(Add, Scalar_Mask) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::add(src1_roi, val, dst1_roi, mask_roi)); OCL_ON(cv::add(usrc1_roi, val, udst1_roi, umask_roi)); Near(1e-5); } } //////////////////////////////////////// Subtract ////////////////////////////////////////////// typedef ArithmTestBase Subtract; OCL_TEST_P(Subtract, Mat) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::subtract(src1_roi, src2_roi, dst1_roi)); OCL_ON(cv::subtract(usrc1_roi, usrc2_roi, udst1_roi)); Near(0); } } OCL_TEST_P(Subtract, Mat_Mask) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::subtract(src1_roi, src2_roi, dst1_roi, mask_roi)); OCL_ON(cv::subtract(usrc1_roi, usrc2_roi, udst1_roi, umask_roi)); Near(0); } } OCL_TEST_P(Subtract, Scalar) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::subtract(val, src1_roi, dst1_roi)); OCL_ON(cv::subtract(val, usrc1_roi, udst1_roi)); Near(1e-5); } } OCL_TEST_P(Subtract, Scalar_Mask) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::subtract(src1_roi, val, dst1_roi, mask_roi)); OCL_ON(cv::subtract(usrc1_roi, val, udst1_roi, umask_roi)); Near(1e-5); } } //////////////////////////////// Mul ///////////////////////////////////////////////// typedef ArithmTestBase Mul; OCL_TEST_P(Mul, Mat) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::multiply(src1_roi, src2_roi, dst1_roi)); OCL_ON(cv::multiply(usrc1_roi, usrc2_roi, udst1_roi)); Near(0); } } OCL_TEST_P(Mul, Scalar) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::multiply(src1_roi, val, dst1_roi)); OCL_ON(cv::multiply(val, usrc1_roi, udst1_roi)); Near(udst1_roi.depth() >= CV_32F ? 1e-3 : 1); } } OCL_TEST_P(Mul, Mat_Scale) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::multiply(src1_roi, src2_roi, dst1_roi, val[0])); OCL_ON(cv::multiply(usrc1_roi, usrc2_roi, udst1_roi, val[0])); #ifdef ANDROID Near(udst1_roi.depth() >= CV_32F ? 2e-1 : 1); #else Near(udst1_roi.depth() >= CV_32F ? 1e-3 : 1); #endif } } OCL_TEST_P(Mul, Mat_Scalar_Scale) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::multiply(src1_roi, val, dst1_roi, val[0])); OCL_ON(cv::multiply(usrc1_roi, val, udst1_roi, val[0])); if (udst1_roi.depth() >= CV_32F) Near(1e-6, true); else Near(1); } } //////////////////////////////// Div ///////////////////////////////////////////////// typedef ArithmTestBase Div; OCL_TEST_P(Div, Mat) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::divide(src1_roi, src2_roi, dst1_roi)); OCL_ON(cv::divide(usrc1_roi, usrc2_roi, udst1_roi)); Near(1); } } OCL_TEST_P(Div, Scalar) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::divide(val, src1_roi, dst1_roi)); OCL_ON(cv::divide(val, usrc1_roi, udst1_roi)); Near(udst1_roi.depth() >= CV_32F ? 1e-3 : 1); } } OCL_TEST_P(Div, Scalar2) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::divide(src1_roi, val, dst1_roi)); OCL_ON(cv::divide(usrc1_roi, val, udst1_roi)); Near(udst1_roi.depth() >= CV_32F ? 1e-3 : 1); } } OCL_TEST_P(Div, Mat_Scale) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::divide(src1_roi, src2_roi, dst1_roi, val[0])); OCL_ON(cv::divide(usrc1_roi, usrc2_roi, udst1_roi, val[0])); Near(udst1_roi.depth() >= CV_32F ? 4e-3 : 1); } } OCL_TEST_P(Div, Mat_Scalar_Scale) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::divide(src1_roi, val, dst1_roi, val[0])); OCL_ON(cv::divide(usrc1_roi, val, udst1_roi, val[0])); Near(udst1_roi.depth() >= CV_32F ? 4e-3 : 1); } } OCL_TEST_P(Div, Recip) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::divide(val[0], src1_roi, dst1_roi)); OCL_ON(cv::divide(val[0], usrc1_roi, udst1_roi)); Near(udst1_roi.depth() >= CV_32F ? 1e-3 : 1); } } //////////////////////////////// Min/Max ///////////////////////////////////////////////// typedef ArithmTestBase Min; OCL_TEST_P(Min, Mat) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::min(src1_roi, src2_roi, dst1_roi)); OCL_ON(cv::min(usrc1_roi, usrc2_roi, udst1_roi)); Near(0); } } typedef ArithmTestBase Max; OCL_TEST_P(Max, Mat) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::max(src1_roi, src2_roi, dst1_roi)); OCL_ON(cv::max(usrc1_roi, usrc2_roi, udst1_roi)); Near(0); } } //////////////////////////////// Absdiff ///////////////////////////////////////////////// typedef ArithmTestBase Absdiff; OCL_TEST_P(Absdiff, Mat) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::absdiff(src1_roi, src2_roi, dst1_roi)); OCL_ON(cv::absdiff(usrc1_roi, usrc2_roi, udst1_roi)); Near(0); } } OCL_TEST_P(Absdiff, Scalar) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::absdiff(src1_roi, val, dst1_roi)); OCL_ON(cv::absdiff(usrc1_roi, val, udst1_roi)); Near(1e-5); } } //////////////////////////////// CartToPolar ///////////////////////////////////////////////// typedef ArithmTestBase CartToPolar; OCL_TEST_P(CartToPolar, angleInDegree) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::cartToPolar(src1_roi, src2_roi, dst1_roi, dst2_roi, true)); OCL_ON(cv::cartToPolar(usrc1_roi, usrc2_roi, udst1_roi, udst2_roi, true)); Near(0.5); Near1(0.5); } } OCL_TEST_P(CartToPolar, angleInRadians) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::cartToPolar(src1_roi, src2_roi, dst1_roi, dst2_roi)); OCL_ON(cv::cartToPolar(usrc1_roi, usrc2_roi, udst1_roi, udst2_roi)); Near(0.5); Near1(0.5); } } //////////////////////////////// PolarToCart ///////////////////////////////////////////////// typedef ArithmTestBase PolarToCart; OCL_TEST_P(PolarToCart, angleInDegree) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::polarToCart(src1_roi, src2_roi, dst1_roi, dst2_roi, true)); OCL_ON(cv::polarToCart(usrc1_roi, usrc2_roi, udst1_roi, udst2_roi, true)); Near(0.5); Near1(0.5); } } OCL_TEST_P(PolarToCart, angleInRadians) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::polarToCart(src1_roi, src2_roi, dst1_roi, dst2_roi)); OCL_ON(cv::polarToCart(usrc1_roi, usrc2_roi, udst1_roi, udst2_roi)); Near(0.5); Near1(0.5); } } //////////////////////////////// Transpose ///////////////////////////////////////////////// typedef ArithmTestBase Transpose; OCL_TEST_P(Transpose, Mat) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); Size roiSize = src1_roi.size(); Border dst1Border = randomBorder(0, use_roi ? MAX_VALUE : 0); randomSubMat(dst1, dst1_roi, Size(roiSize.height, roiSize.width), dst1Border, src1.type(), 5, 16); UMAT_UPLOAD_INPUT_PARAMETER(dst1); OCL_OFF(cv::transpose(src1_roi, dst1_roi)); OCL_ON(cv::transpose(usrc1_roi, udst1_roi)); Near(1e-5); } } OCL_TEST_P(Transpose, SquareInplace) { const int type = CV_MAKE_TYPE(depth, cn); for (int j = 0; j < test_loop_times; j++) { Size roiSize = randomSize(1, MAX_VALUE); roiSize.height = roiSize.width; // make it square Border srcBorder = randomBorder(0, use_roi ? MAX_VALUE : 0); randomSubMat(src1, src1_roi, roiSize, srcBorder, type, 5, 16); UMAT_UPLOAD_OUTPUT_PARAMETER(src1); OCL_OFF(cv::transpose(src1_roi, src1_roi)); OCL_ON(cv::transpose(usrc1_roi, usrc1_roi)); OCL_EXPECT_MATS_NEAR(src1, 0); } } //////////////////////////////// Bitwise_and ///////////////////////////////////////////////// typedef ArithmTestBase Bitwise_and; OCL_TEST_P(Bitwise_and, Mat) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::bitwise_and(src1_roi, src2_roi, dst1_roi)); OCL_ON(cv::bitwise_and(usrc1_roi, usrc2_roi, udst1_roi)); Near(0); } } OCL_TEST_P(Bitwise_and, Mat_Mask) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::bitwise_and(src1_roi, src2_roi, dst1_roi, mask_roi)); OCL_ON(cv::bitwise_and(usrc1_roi, usrc2_roi, udst1_roi, umask_roi)); Near(0); } } OCL_TEST_P(Bitwise_and, Scalar) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::bitwise_and(src1_roi, val, dst1_roi)); OCL_ON(cv::bitwise_and(usrc1_roi, val, udst1_roi)); Near(1e-5); } } OCL_TEST_P(Bitwise_and, Scalar_Mask) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::bitwise_and(src1_roi, val, dst1_roi, mask_roi)); OCL_ON(cv::bitwise_and(usrc1_roi, val, udst1_roi, umask_roi)); Near(1e-5); } } //////////////////////////////// Bitwise_or ///////////////////////////////////////////////// typedef ArithmTestBase Bitwise_or; OCL_TEST_P(Bitwise_or, Mat) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::bitwise_or(src1_roi, src2_roi, dst1_roi)); OCL_ON(cv::bitwise_or(usrc1_roi, usrc2_roi, udst1_roi)); Near(0); } } OCL_TEST_P(Bitwise_or, Mat_Mask) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::bitwise_or(src1_roi, src2_roi, dst1_roi, mask_roi)); OCL_ON(cv::bitwise_or(usrc1_roi, usrc2_roi, udst1_roi, umask_roi)); Near(0); } } OCL_TEST_P(Bitwise_or, Scalar) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::bitwise_or(src1_roi, val, dst1_roi)); OCL_ON(cv::bitwise_or(usrc1_roi, val, udst1_roi)); Near(1e-5); } } OCL_TEST_P(Bitwise_or, Scalar_Mask) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::bitwise_or(src1_roi, val, dst1_roi, mask_roi)); OCL_ON(cv::bitwise_or(val, usrc1_roi, udst1_roi, umask_roi)); Near(1e-5); } } //////////////////////////////// Bitwise_xor ///////////////////////////////////////////////// typedef ArithmTestBase Bitwise_xor; OCL_TEST_P(Bitwise_xor, Mat) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::bitwise_xor(src1_roi, src2_roi, dst1_roi)); OCL_ON(cv::bitwise_xor(usrc1_roi, usrc2_roi, udst1_roi)); Near(0); } } OCL_TEST_P(Bitwise_xor, Mat_Mask) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::bitwise_xor(src1_roi, src2_roi, dst1_roi, mask_roi)); OCL_ON(cv::bitwise_xor(usrc1_roi, usrc2_roi, udst1_roi, umask_roi)); Near(0); } } OCL_TEST_P(Bitwise_xor, Scalar) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::bitwise_xor(src1_roi, val, dst1_roi)); OCL_ON(cv::bitwise_xor(usrc1_roi, val, udst1_roi)); Near(1e-5); } } OCL_TEST_P(Bitwise_xor, Scalar_Mask) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::bitwise_xor(src1_roi, val, dst1_roi, mask_roi)); OCL_ON(cv::bitwise_xor(usrc1_roi, val, udst1_roi, umask_roi)); Near(1e-5); } } //////////////////////////////// Bitwise_not ///////////////////////////////////////////////// typedef ArithmTestBase Bitwise_not; OCL_TEST_P(Bitwise_not, Mat) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::bitwise_not(src1_roi, dst1_roi)); OCL_ON(cv::bitwise_not(usrc1_roi, udst1_roi)); Near(0); } } //////////////////////////////// Compare ///////////////////////////////////////////////// typedef ArithmTestBase Compare; static const int cmp_codes[] = { CMP_EQ, CMP_GT, CMP_GE, CMP_LT, CMP_LE, CMP_NE }; static const char * cmp_strs[] = { "CMP_EQ", "CMP_GT", "CMP_GE", "CMP_LT", "CMP_LE", "CMP_NE" }; static const int cmp_num = sizeof(cmp_codes) / sizeof(int); OCL_TEST_P(Compare, Mat) { for (int i = 0; i < cmp_num; ++i) { SCOPED_TRACE(cmp_strs[i]); for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::compare(src1_roi, src2_roi, dst1_roi, cmp_codes[i])); OCL_ON(cv::compare(usrc1_roi, usrc2_roi, udst1_roi, cmp_codes[i])); Near(0); } } } OCL_TEST_P(Compare, Scalar) { for (int i = 0; i < cmp_num; ++i) { SCOPED_TRACE(cmp_strs[i]); for (int j = 0; j < test_loop_times; j++) { generateTestData(true); OCL_OFF(cv::compare(src1_roi, val_in_range, dst1_roi, cmp_codes[i])); OCL_ON(cv::compare(usrc1_roi, val_in_range, udst1_roi, cmp_codes[i])); Near(0); } } } OCL_TEST_P(Compare, Scalar2) { for (int i = 0; i < cmp_num; ++i) { SCOPED_TRACE(cmp_strs[i]); for (int j = 0; j < test_loop_times; j++) { generateTestData(true); OCL_OFF(cv::compare(val_in_range, src1_roi, dst1_roi, cmp_codes[i])); OCL_ON(cv::compare(val_in_range, usrc1_roi, udst1_roi, cmp_codes[i])); Near(0); } } } //////////////////////////////// Pow ///////////////////////////////////////////////// typedef ArithmTestBase Pow; OCL_TEST_P(Pow, Mat) { static const double pows[] = { -4, -1, -2.5, 0, 1, 2, 3.7, 4 }; for (int j = 0; j < 1/*test_loop_times*/; j++) for (int k = 0, size = sizeof(pows) / sizeof(double); k < size; ++k) { SCOPED_TRACE(pows[k]); generateTestData(); OCL_OFF(cv::pow(src1_roi, pows[k], dst1_roi)); OCL_ON(cv::pow(usrc1_roi, pows[k], udst1_roi)); OCL_EXPECT_MATS_NEAR_RELATIVE(dst1, 1e-5); } } //////////////////////////////// AddWeighted ///////////////////////////////////////////////// typedef ArithmTestBase AddWeighted; OCL_TEST_P(AddWeighted, Mat) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); const double alpha = 2.0, beta = 1.0, gama = 3.0; OCL_OFF(cv::addWeighted(src1_roi, alpha, src2_roi, beta, gama, dst1_roi)); OCL_ON(cv::addWeighted(usrc1_roi, alpha, usrc2_roi, beta, gama, udst1_roi)); Near(3e-4); } } //////////////////////////////// setIdentity ///////////////////////////////////////////////// typedef ArithmTestBase SetIdentity; OCL_TEST_P(SetIdentity, Mat) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::setIdentity(dst1_roi, val)); OCL_ON(cv::setIdentity(udst1_roi, val)); Near(0); } } //// Repeat struct RepeatTestCase : public ArithmTestBase { int nx, ny; void generateTestData() { const int type = CV_MAKE_TYPE(depth, cn); nx = randomInt(1, 4); ny = randomInt(1, 4); Size srcRoiSize = randomSize(1, MAX_VALUE); Border srcBorder = randomBorder(0, use_roi ? MAX_VALUE : 0); randomSubMat(src1, src1_roi, srcRoiSize, srcBorder, type, 2, 11); Size dstRoiSize(srcRoiSize.width * nx, srcRoiSize.height * ny); Border dst1Border = randomBorder(0, use_roi ? MAX_VALUE : 0); randomSubMat(dst1, dst1_roi, dstRoiSize, dst1Border, type, 5, 16); UMAT_UPLOAD_INPUT_PARAMETER(src1); UMAT_UPLOAD_OUTPUT_PARAMETER(dst1); } }; typedef RepeatTestCase Repeat; OCL_TEST_P(Repeat, Mat) { for (int i = 0; i < test_loop_times; ++i) { generateTestData(); OCL_OFF(cv::repeat(src1_roi, ny, nx, dst1_roi)); OCL_ON(cv::repeat(usrc1_roi, ny, nx, udst1_roi)); Near(); } } //////////////////////////////// CountNonZero ///////////////////////////////////////////////// typedef ArithmTestBase CountNonZero; OCL_TEST_P(CountNonZero, MAT) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); int cpures, gpures; OCL_OFF(cpures = cv::countNonZero(src1_roi)); OCL_ON(gpures = cv::countNonZero(usrc1_roi)); EXPECT_EQ(cpures, gpures); } } //////////////////////////////// Sum ///////////////////////////////////////////////// typedef ArithmTestBase Sum; OCL_TEST_P(Sum, MAT) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); Scalar cpures, gpures; OCL_OFF(cpures = cv::sum(src1_roi)); OCL_ON(gpures = cv::sum(usrc1_roi)); for (int i = 0; i < cn; ++i) EXPECT_NEAR(cpures[i], gpures[i], 0.1); } } //////////////////////////////// meanStdDev ///////////////////////////////////////////////// typedef ArithmTestBase MeanStdDev; OCL_TEST_P(MeanStdDev, Mat) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); Scalar cpu_mean, cpu_stddev; Scalar gpu_mean, gpu_stddev; OCL_OFF(cv::meanStdDev(src1_roi, cpu_mean, cpu_stddev)); OCL_ON(cv::meanStdDev(usrc1_roi, gpu_mean, gpu_stddev)); for (int i = 0; i < cn; ++i) { EXPECT_NEAR(cpu_mean[i], gpu_mean[i], 0.1); EXPECT_NEAR(cpu_stddev[i], gpu_stddev[i], 0.1); } } } OCL_TEST_P(MeanStdDev, Mat_Mask) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); Scalar cpu_mean, cpu_stddev; Scalar gpu_mean, gpu_stddev; OCL_OFF(cv::meanStdDev(src1_roi, cpu_mean, cpu_stddev, mask_roi)); OCL_ON(cv::meanStdDev(usrc1_roi, gpu_mean, gpu_stddev, umask_roi)); for (int i = 0; i < cn; ++i) { EXPECT_NEAR(cpu_mean[i], gpu_mean[i], 0.1); EXPECT_NEAR(cpu_stddev[i], gpu_stddev[i], 0.1); } } } OCL_TEST(MeanStdDev_, ZeroMask) { Size size(5, 5); UMat um(size, CV_32SC1), umask(size, CV_8UC1, Scalar::all(0)); Mat m(size, CV_32SC1), mask(size, CV_8UC1, Scalar::all(0)); Scalar cpu_mean, cpu_stddev; Scalar gpu_mean, gpu_stddev; OCL_OFF(cv::meanStdDev(m, cpu_mean, cpu_stddev, mask)); OCL_ON(cv::meanStdDev(um, gpu_mean, gpu_stddev, umask)); for (int i = 0; i < 4; ++i) { EXPECT_NEAR(cpu_mean[i], gpu_mean[i], 0.1); EXPECT_NEAR(cpu_stddev[i], gpu_stddev[i], 0.1); } } //////////////////////////////////////// Log ///////////////////////////////////////// typedef ArithmTestBase Log; OCL_TEST_P(Log, Mat) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::log(src1_roi, dst1_roi)); OCL_ON(cv::log(usrc1_roi, udst1_roi)); Near(1); } } //////////////////////////////////////// Exp ///////////////////////////////////////// typedef ArithmTestBase Exp; OCL_TEST_P(Exp, Mat) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::exp(src1_roi, dst1_roi)); OCL_ON(cv::exp(usrc1_roi, udst1_roi)); Near(2); } } //////////////////////////////////////// Phase ///////////////////////////////////////// typedef ArithmTestBase Phase; OCL_TEST_P(Phase, angleInDegree) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::phase(src1_roi, src2_roi, dst1_roi, true)); OCL_ON(cv::phase(usrc1_roi, usrc2_roi, udst1_roi, true)); Near(1e-2); } } OCL_TEST_P(Phase, angleInRadians) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::phase(src1_roi, src2_roi, dst1_roi)); OCL_ON(cv::phase(usrc1_roi, usrc2_roi, udst1_roi)); Near(1e-2); } } //////////////////////////////////////// Magnitude ///////////////////////////////////////// typedef ArithmTestBase Magnitude; OCL_TEST_P(Magnitude, Mat) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::magnitude(src1_roi, src2_roi, dst1_roi)); OCL_ON(cv::magnitude(usrc1_roi, usrc2_roi, udst1_roi)); Near(depth == CV_64F ? 1e-5 : 1e-2); } } //////////////////////////////// Flip ///////////////////////////////////////////////// typedef ArithmTestBase Flip; OCL_TEST_P(Flip, X) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::flip(src1_roi, dst1_roi, 0)); OCL_ON(cv::flip(usrc1_roi, udst1_roi, 0)); Near(0); } } OCL_TEST_P(Flip, Y) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::flip(src1_roi, dst1_roi, 1)); OCL_ON(cv::flip(usrc1_roi, udst1_roi, 1)); Near(0); } } OCL_TEST_P(Flip, BOTH) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::flip(src1_roi, dst1_roi, -1)); OCL_ON(cv::flip(usrc1_roi, udst1_roi, -1)); Near(0); } } //////////////////////////////////////// minMaxIdx ///////////////////////////////////////// typedef ArithmTestBase MinMaxIdx; OCL_TEST_P(MinMaxIdx, Mat) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); int p1[2], p2[2], up1[2], up2[2]; double minv, maxv, uminv, umaxv; if (cn > 1) { OCL_OFF(cv::minMaxIdx(src2_roi, &minv, &maxv) ); OCL_ON(cv::minMaxIdx(usrc2_roi, &uminv, &umaxv)); EXPECT_DOUBLE_EQ(minv, uminv); EXPECT_DOUBLE_EQ(maxv, umaxv); } else { OCL_OFF(cv::minMaxIdx(src2_roi, &minv, &maxv, p1, p2, noArray())); OCL_ON(cv::minMaxIdx(usrc2_roi, &uminv, &umaxv, up1, up2, noArray())); EXPECT_DOUBLE_EQ(minv, uminv); EXPECT_DOUBLE_EQ(maxv, umaxv); for (int i = 0; i < 2; i++) { EXPECT_EQ(p1[i], up1[i]); EXPECT_EQ(p2[i], up2[i]); } } } } typedef ArithmTestBase MinMaxIdx_Mask; OCL_TEST_P(MinMaxIdx_Mask, Mat) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); int p1[2], p2[2], up1[2], up2[2]; double minv, maxv, uminv, umaxv; OCL_OFF(cv::minMaxIdx(src2_roi, &minv, &maxv, p1, p2, mask_roi)); OCL_ON(cv::minMaxIdx(usrc2_roi, &uminv, &umaxv, up1, up2, umask_roi)); EXPECT_DOUBLE_EQ(minv, uminv); EXPECT_DOUBLE_EQ(maxv, umaxv); for( int i = 0; i < 2; i++) { EXPECT_EQ(p1[i], up1[i]); EXPECT_EQ(p2[i], up2[i]); } } } //////////////////////////////// Norm ///////////////////////////////////////////////// static bool relativeError(double actual, double expected, double eps) { return std::abs(actual - expected) < eps*(1 + std::abs(actual)); } typedef ArithmTestBase Norm; OCL_TEST_P(Norm, NORM_INF_1arg) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(const double cpuRes = cv::norm(src1_roi, NORM_INF)); OCL_ON(const double gpuRes = cv::norm(usrc1_roi, NORM_INF)); EXPECT_NEAR(cpuRes, gpuRes, 0.1); } } OCL_TEST_P(Norm, NORM_INF_1arg_mask) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(const double cpuRes = cv::norm(src1_roi, NORM_INF, mask_roi)); OCL_ON(const double gpuRes = cv::norm(usrc1_roi, NORM_INF, umask_roi)); EXPECT_NEAR(cpuRes, gpuRes, 0.2); } } OCL_TEST_P(Norm, NORM_L1_1arg) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(const double cpuRes = cv::norm(src1_roi, NORM_L1)); OCL_ON(const double gpuRes = cv::norm(usrc1_roi, NORM_L1)); EXPECT_PRED3(relativeError, cpuRes, gpuRes, 1e-6); } } OCL_TEST_P(Norm, NORM_L1_1arg_mask) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(const double cpuRes = cv::norm(src1_roi, NORM_L1, mask_roi)); OCL_ON(const double gpuRes = cv::norm(usrc1_roi, NORM_L1, umask_roi)); EXPECT_PRED3(relativeError, cpuRes, gpuRes, 1e-6); } } OCL_TEST_P(Norm, NORM_L2_1arg) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(const double cpuRes = cv::norm(src1_roi, NORM_L2)); OCL_ON(const double gpuRes = cv::norm(usrc1_roi, NORM_L2)); EXPECT_PRED3(relativeError, cpuRes, gpuRes, 1e-6); } } OCL_TEST_P(Norm, NORM_L2_1arg_mask) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(const double cpuRes = cv::norm(src1_roi, NORM_L2, mask_roi)); OCL_ON(const double gpuRes = cv::norm(usrc1_roi, NORM_L2, umask_roi)); EXPECT_PRED3(relativeError, cpuRes, gpuRes, 1e-6); } } OCL_TEST_P(Norm, NORM_INF_2args) { for (int relative = 0; relative < 2; ++relative) for (int j = 0; j < test_loop_times; j++) { generateTestData(); SCOPED_TRACE(relative ? "NORM_RELATIVE" : ""); int type = NORM_INF; if (relative == 1) type |= NORM_RELATIVE; OCL_OFF(const double cpuRes = cv::norm(src1_roi, src2_roi, type)); OCL_ON(const double gpuRes = cv::norm(usrc1_roi, usrc2_roi, type)); EXPECT_PRED3(relativeError, cpuRes, gpuRes, 1e-6); } } OCL_TEST_P(Norm, NORM_INF_2args_mask) { for (int relative = 0; relative < 2; ++relative) for (int j = 0; j < test_loop_times; j++) { generateTestData(); SCOPED_TRACE(relative ? "NORM_RELATIVE" : ""); int type = NORM_INF; if (relative == 1) type |= NORM_RELATIVE; OCL_OFF(const double cpuRes = cv::norm(src1_roi, src2_roi, type, mask_roi)); OCL_ON(const double gpuRes = cv::norm(usrc1_roi, usrc2_roi, type, umask_roi)); EXPECT_PRED3(relativeError, cpuRes, gpuRes, 1e-6); } } OCL_TEST_P(Norm, NORM_L1_2args) { for (int relative = 0; relative < 2; ++relative) for (int j = 0; j < test_loop_times; j++) { generateTestData(); SCOPED_TRACE(relative ? "NORM_RELATIVE" : ""); int type = NORM_L1; if (relative == 1) type |= NORM_RELATIVE; OCL_OFF(const double cpuRes = cv::norm(src1_roi, src2_roi, type)); OCL_ON(const double gpuRes = cv::norm(usrc1_roi, usrc2_roi, type)); EXPECT_PRED3(relativeError, cpuRes, gpuRes, 1e-6); } } OCL_TEST_P(Norm, NORM_L1_2args_mask) { for (int relative = 0; relative < 2; ++relative) for (int j = 0; j < test_loop_times; j++) { generateTestData(); SCOPED_TRACE(relative ? "NORM_RELATIVE" : ""); int type = NORM_L1; if (relative == 1) type |= NORM_RELATIVE; OCL_OFF(const double cpuRes = cv::norm(src1_roi, src2_roi, type, mask_roi)); OCL_ON(const double gpuRes = cv::norm(usrc1_roi, usrc2_roi, type, umask_roi)); EXPECT_PRED3(relativeError, cpuRes, gpuRes, 1e-6); } } OCL_TEST_P(Norm, NORM_L2_2args) { for (int relative = 0; relative < 2; ++relative) for (int j = 0; j < test_loop_times; j++) { generateTestData(); SCOPED_TRACE(relative ? "NORM_RELATIVE" : ""); int type = NORM_L2; if (relative == 1) type |= NORM_RELATIVE; OCL_OFF(const double cpuRes = cv::norm(src1_roi, src2_roi, type)); OCL_ON(const double gpuRes = cv::norm(usrc1_roi, usrc2_roi, type)); EXPECT_PRED3(relativeError, cpuRes, gpuRes, 1e-6); } } OCL_TEST_P(Norm, NORM_L2_2args_mask) { for (int relative = 0; relative < 2; ++relative) for (int j = 0; j < test_loop_times; j++) { generateTestData(); SCOPED_TRACE(relative ? "NORM_RELATIVE" : ""); int type = NORM_L2; if (relative == 1) type |= NORM_RELATIVE; OCL_OFF(const double cpuRes = cv::norm(src1_roi, src2_roi, type, mask_roi)); OCL_ON(const double gpuRes = cv::norm(usrc1_roi, usrc2_roi, type, umask_roi)); EXPECT_PRED3(relativeError, cpuRes, gpuRes, 1e-6); } } //////////////////////////////// UMat::dot //////////////////////////////////////////////// typedef ArithmTestBase UMatDot; OCL_TEST_P(UMatDot, Mat) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(const double cpuRes = src1_roi.dot(src2_roi)); OCL_ON(const double gpuRes = usrc1_roi.dot(usrc2_roi)); EXPECT_PRED3(relativeError, cpuRes, gpuRes, 1e-5); } } //////////////////////////////// Sqrt //////////////////////////////////////////////// typedef ArithmTestBase Sqrt; OCL_TEST_P(Sqrt, Mat) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::sqrt(src1_roi, dst1_roi)); OCL_ON(cv::sqrt(usrc1_roi, udst1_roi)); Near(1); } } //////////////////////////////// Normalize //////////////////////////////////////////////// typedef ArithmTestBase Normalize; OCL_TEST_P(Normalize, Mat) { static int modes[] = { CV_MINMAX, CV_L2, CV_L1, CV_C }; for (int j = 0; j < test_loop_times; j++) { generateTestData(); for (int i = 0, size = sizeof(modes) / sizeof(modes[0]); i < size; ++i) { OCL_OFF(cv::normalize(src1_roi, dst1_roi, 10, 110, modes[i], src1_roi.type(), mask_roi)); OCL_ON(cv::normalize(usrc1_roi, udst1_roi, 10, 110, modes[i], src1_roi.type(), umask_roi)); Near(1); } } } //////////////////////////////////////// InRange /////////////////////////////////////////////// PARAM_TEST_CASE(InRange, MatDepth, Channels, bool /*Scalar or not*/, bool /*Roi*/) { int depth; int cn; bool scalars, use_roi; cv::Scalar val1, val2; TEST_DECLARE_INPUT_PARAMETER(src1); TEST_DECLARE_INPUT_PARAMETER(src2); TEST_DECLARE_INPUT_PARAMETER(src3); TEST_DECLARE_OUTPUT_PARAMETER(dst); virtual void SetUp() { depth = GET_PARAM(0); cn = GET_PARAM(1); scalars = GET_PARAM(2); use_roi = GET_PARAM(3); } void generateTestData() { const int type = CV_MAKE_TYPE(depth, cn); Size roiSize = randomSize(1, MAX_VALUE); Border src1Border = randomBorder(0, use_roi ? MAX_VALUE : 0); randomSubMat(src1, src1_roi, roiSize, src1Border, type, -40, 40); Border src2Border = randomBorder(0, use_roi ? MAX_VALUE : 0); randomSubMat(src2, src2_roi, roiSize, src2Border, type, -40, 40); Border src3Border = randomBorder(0, use_roi ? MAX_VALUE : 0); randomSubMat(src3, src3_roi, roiSize, src3Border, type, -40, 40); Border dstBorder = randomBorder(0, use_roi ? MAX_VALUE : 0); randomSubMat(dst, dst_roi, roiSize, dstBorder, CV_8UC1, 5, 16); val1 = cv::Scalar(rng.uniform(-100.0, 100.0), rng.uniform(-100.0, 100.0), rng.uniform(-100.0, 100.0), rng.uniform(-100.0, 100.0)); val2 = cv::Scalar(rng.uniform(-100.0, 100.0), rng.uniform(-100.0, 100.0), rng.uniform(-100.0, 100.0), rng.uniform(-100.0, 100.0)); UMAT_UPLOAD_INPUT_PARAMETER(src1); UMAT_UPLOAD_INPUT_PARAMETER(src2); UMAT_UPLOAD_INPUT_PARAMETER(src3); UMAT_UPLOAD_OUTPUT_PARAMETER(dst); } void Near() { OCL_EXPECT_MATS_NEAR(dst, 0); } }; OCL_TEST_P(InRange, Mat) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::inRange(src1_roi, src2_roi, src3_roi, dst_roi)); OCL_ON(cv::inRange(usrc1_roi, usrc2_roi, usrc3_roi, udst_roi)); Near(); } } OCL_TEST_P(InRange, Scalar) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::inRange(src1_roi, val1, val2, dst_roi)); OCL_ON(cv::inRange(usrc1_roi, val1, val2, udst_roi)); Near(); } } //////////////////////////////// ConvertScaleAbs //////////////////////////////////////////////// PARAM_TEST_CASE(ConvertScaleAbs, MatDepth, Channels, bool) { int depth; int cn; bool use_roi; cv::Scalar val; TEST_DECLARE_INPUT_PARAMETER(src); TEST_DECLARE_OUTPUT_PARAMETER(dst); virtual void SetUp() { depth = GET_PARAM(0); cn = GET_PARAM(1); use_roi = GET_PARAM(2); } void generateTestData() { const int stype = CV_MAKE_TYPE(depth, cn); const int dtype = CV_MAKE_TYPE(CV_8U, cn); Size roiSize = randomSize(1, MAX_VALUE); Border srcBorder = randomBorder(0, use_roi ? MAX_VALUE : 0); randomSubMat(src, src_roi, roiSize, srcBorder, stype, -11, 11); // FIXIT: Test with minV, maxV Border dstBorder = randomBorder(0, use_roi ? MAX_VALUE : 0); randomSubMat(dst, dst_roi, roiSize, dstBorder, dtype, 5, 16); val = cv::Scalar(rng.uniform(-100.0, 100.0), rng.uniform(-100.0, 100.0), rng.uniform(-100.0, 100.0), rng.uniform(-100.0, 100.0)); UMAT_UPLOAD_INPUT_PARAMETER(src); UMAT_UPLOAD_OUTPUT_PARAMETER(dst); } void Near(double threshold = 0.) { OCL_EXPECT_MATS_NEAR(dst, threshold); } }; OCL_TEST_P(ConvertScaleAbs, Mat) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::convertScaleAbs(src_roi, dst_roi, val[0], val[1])); OCL_ON(cv::convertScaleAbs(usrc_roi, udst_roi, val[0], val[1])); Near(1); } } //////////////////////////////// ConvertFp16 //////////////////////////////////////////////// PARAM_TEST_CASE(ConvertFp16, Channels, bool) { int cn; bool fromHalf; cv::Scalar val; TEST_DECLARE_INPUT_PARAMETER(src); TEST_DECLARE_OUTPUT_PARAMETER(dst); virtual void SetUp() { cn = GET_PARAM(0); fromHalf = GET_PARAM(1); } void generateTestData() { const int stype = CV_MAKE_TYPE(fromHalf ? CV_32F : CV_16S, cn); const int dtype = CV_MAKE_TYPE(fromHalf ? CV_16S : CV_32F, cn); Size roiSize = randomSize(1, MAX_VALUE); Border srcBorder = randomBorder(0, 0); randomSubMat(src, src_roi, roiSize, srcBorder, stype, -11, 11); // FIXIT: Test with minV, maxV if (stype == CV_MAKE_TYPE(CV_16S, cn)) // eliminate NaN/Inf FP16 values { RNG dataRng(rng.next()); Mat src_i32 = cvtest::randomMat(dataRng, roiSize, CV_MAKE_TYPE(CV_32S, cn), 0, 0x7c00, false); Mat shift_i32 = cvtest::randomMat(dataRng, roiSize, src_i32.type(), -1, 1, false); // values: -1, 0 src_i32 = src_i32 + (shift_i32 * 0x8000); src_i32.convertTo(src_roi, stype); } Border dstBorder = randomBorder(0, 0); randomSubMat(dst, dst_roi, roiSize, dstBorder, dtype, 5, 16); UMAT_UPLOAD_INPUT_PARAMETER(src); UMAT_UPLOAD_OUTPUT_PARAMETER(dst); } void Near(double threshold = 0.) { OCL_EXPECT_MATS_NEAR(dst, threshold); } }; OCL_TEST_P(ConvertFp16, Mat) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::convertFp16(src_roi, dst_roi)); OCL_ON(cv::convertFp16(usrc_roi, udst_roi)); Near(1); } } //////////////////////////////// ScaleAdd //////////////////////////////////////////////// typedef ArithmTestBase ScaleAdd; OCL_TEST_P(ScaleAdd, Mat) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::scaleAdd(src1_roi, val[0], src2_roi, dst1_roi)); OCL_ON(cv::scaleAdd(usrc1_roi, val[0], usrc2_roi, udst1_roi)); Near(depth <= CV_32S ? 1 : 1e-3); } } //////////////////////////////// PatchNans //////////////////////////////////////////////// PARAM_TEST_CASE(PatchNaNs, Channels, bool) { int cn; bool use_roi; double value; TEST_DECLARE_INPUT_PARAMETER(src); virtual void SetUp() { cn = GET_PARAM(0); use_roi = GET_PARAM(1); } void generateTestData() { const int type = CV_MAKE_TYPE(CV_32F, cn); Size roiSize = randomSize(1, 10); Border srcBorder = randomBorder(0, use_roi ? MAX_VALUE : 0); randomSubMat(src, src_roi, roiSize, srcBorder, type, -40, 40); // generating NaNs roiSize.width *= cn; for (int y = 0; y < roiSize.height; ++y) { float * const ptr = src_roi.ptr(y); for (int x = 0; x < roiSize.width; ++x) ptr[x] = randomInt(-1, 1) == 0 ? std::numeric_limits::quiet_NaN() : ptr[x]; } value = randomDouble(-100, 100); UMAT_UPLOAD_INPUT_PARAMETER(src); } void Near() { OCL_EXPECT_MATS_NEAR(src, 0); } }; OCL_TEST_P(PatchNaNs, Mat) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::patchNaNs(src_roi, value)); OCL_ON(cv::patchNaNs(usrc_roi, value)); Near(); } } //////////////////////////////// Psnr //////////////////////////////////////////////// typedef ArithmTestBase Psnr; OCL_TEST_P(Psnr, Mat) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); double cpuRes = 0, gpuRes = 0; OCL_OFF(cpuRes = cv::PSNR(src1_roi, src2_roi)); OCL_ON(gpuRes = cv::PSNR(usrc1_roi, usrc2_roi)); EXPECT_PRED3(relativeError, cpuRes, gpuRes, 1e-6); } } //////////////////////////////////////// Reduce ///////////////////////////////////////////// PARAM_TEST_CASE(Reduce, std::pair, Channels, int, bool) { int sdepth, ddepth, cn, dim, dtype; bool use_roi; TEST_DECLARE_INPUT_PARAMETER(src); TEST_DECLARE_OUTPUT_PARAMETER(dst); virtual void SetUp() { const std::pair p = GET_PARAM(0); sdepth = p.first; ddepth = p.second; cn = GET_PARAM(1); dim = GET_PARAM(2); use_roi = GET_PARAM(3); } void generateTestData() { const int stype = CV_MAKE_TYPE(sdepth, cn); dtype = CV_MAKE_TYPE(ddepth, cn); Size roiSize = randomSize(1, MAX_VALUE); Border srcBorder = randomBorder(0, use_roi ? MAX_VALUE : 0); randomSubMat(src, src_roi, roiSize, srcBorder, stype, -40, 40); Size dstRoiSize = Size(dim == 0 ? roiSize.width : 1, dim == 0 ? 1 : roiSize.height); Border dstBorder = randomBorder(0, use_roi ? MAX_VALUE : 0); randomSubMat(dst, dst_roi, dstRoiSize, dstBorder, dtype, 5, 16); UMAT_UPLOAD_INPUT_PARAMETER(src); UMAT_UPLOAD_OUTPUT_PARAMETER(dst); } }; typedef Reduce ReduceSum; OCL_TEST_P(ReduceSum, Mat) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::reduce(src_roi, dst_roi, dim, CV_REDUCE_SUM, dtype)); OCL_ON(cv::reduce(usrc_roi, udst_roi, dim, CV_REDUCE_SUM, dtype)); double eps = ddepth <= CV_32S ? 1 : 7e-4; OCL_EXPECT_MATS_NEAR(dst, eps); } } typedef Reduce ReduceMax; OCL_TEST_P(ReduceMax, Mat) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::reduce(src_roi, dst_roi, dim, CV_REDUCE_MAX, dtype)); OCL_ON(cv::reduce(usrc_roi, udst_roi, dim, CV_REDUCE_MAX, dtype)); OCL_EXPECT_MATS_NEAR(dst, 0); } } typedef Reduce ReduceMin; OCL_TEST_P(ReduceMin, Mat) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::reduce(src_roi, dst_roi, dim, CV_REDUCE_MIN, dtype)); OCL_ON(cv::reduce(usrc_roi, udst_roi, dim, CV_REDUCE_MIN, dtype)); OCL_EXPECT_MATS_NEAR(dst, 0); } } typedef Reduce ReduceAvg; OCL_TEST_P(ReduceAvg, Mat) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::reduce(src_roi, dst_roi, dim, CV_REDUCE_AVG, dtype)); OCL_ON(cv::reduce(usrc_roi, udst_roi, dim, CV_REDUCE_AVG, dtype)); double eps = ddepth <= CV_32S ? 1 : 6e-6; OCL_EXPECT_MATS_NEAR(dst, eps); } } //////////////////////////////////////// Instantiation ///////////////////////////////////////// OCL_INSTANTIATE_TEST_CASE_P(Arithm, Lut, Combine(::testing::Values(CV_8U, CV_8S), OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool(), Bool())); OCL_INSTANTIATE_TEST_CASE_P(Arithm, Add, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool())); OCL_INSTANTIATE_TEST_CASE_P(Arithm, Subtract, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool())); OCL_INSTANTIATE_TEST_CASE_P(Arithm, Mul, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool())); OCL_INSTANTIATE_TEST_CASE_P(Arithm, Div, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool())); OCL_INSTANTIATE_TEST_CASE_P(Arithm, Min, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool())); OCL_INSTANTIATE_TEST_CASE_P(Arithm, Max, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool())); OCL_INSTANTIATE_TEST_CASE_P(Arithm, Absdiff, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool())); OCL_INSTANTIATE_TEST_CASE_P(Arithm, CartToPolar, Combine(testing::Values(CV_32F, CV_64F), OCL_ALL_CHANNELS, Bool())); OCL_INSTANTIATE_TEST_CASE_P(Arithm, PolarToCart, Combine(testing::Values(CV_32F, CV_64F), OCL_ALL_CHANNELS, Bool())); OCL_INSTANTIATE_TEST_CASE_P(Arithm, Transpose, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool())); OCL_INSTANTIATE_TEST_CASE_P(Arithm, Bitwise_and, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool())); OCL_INSTANTIATE_TEST_CASE_P(Arithm, Bitwise_not, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool())); OCL_INSTANTIATE_TEST_CASE_P(Arithm, Bitwise_xor, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool())); OCL_INSTANTIATE_TEST_CASE_P(Arithm, Bitwise_or, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool())); OCL_INSTANTIATE_TEST_CASE_P(Arithm, Pow, Combine(testing::Values(CV_32F, CV_64F), OCL_ALL_CHANNELS, Bool())); OCL_INSTANTIATE_TEST_CASE_P(Arithm, Compare, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool())); OCL_INSTANTIATE_TEST_CASE_P(Arithm, AddWeighted, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool())); OCL_INSTANTIATE_TEST_CASE_P(Arithm, SetIdentity, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool())); OCL_INSTANTIATE_TEST_CASE_P(Arithm, Repeat, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool())); OCL_INSTANTIATE_TEST_CASE_P(Arithm, CountNonZero, Combine(OCL_ALL_DEPTHS, testing::Values(Channels(1)), Bool())); OCL_INSTANTIATE_TEST_CASE_P(Arithm, Sum, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool())); OCL_INSTANTIATE_TEST_CASE_P(Arithm, MeanStdDev, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool())); OCL_INSTANTIATE_TEST_CASE_P(Arithm, Log, Combine(::testing::Values(CV_32F, CV_64F), OCL_ALL_CHANNELS, Bool())); OCL_INSTANTIATE_TEST_CASE_P(Arithm, Exp, Combine(::testing::Values(CV_32F, CV_64F), OCL_ALL_CHANNELS, Bool())); OCL_INSTANTIATE_TEST_CASE_P(Arithm, Phase, Combine(::testing::Values(CV_32F, CV_64F), OCL_ALL_CHANNELS, Bool())); OCL_INSTANTIATE_TEST_CASE_P(Arithm, Magnitude, Combine(::testing::Values(CV_32F, CV_64F), OCL_ALL_CHANNELS, Bool())); OCL_INSTANTIATE_TEST_CASE_P(Arithm, Flip, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool())); OCL_INSTANTIATE_TEST_CASE_P(Arithm, MinMaxIdx, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool())); OCL_INSTANTIATE_TEST_CASE_P(Arithm, MinMaxIdx_Mask, Combine(OCL_ALL_DEPTHS, ::testing::Values(Channels(1)), Bool())); OCL_INSTANTIATE_TEST_CASE_P(Arithm, Norm, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool())); OCL_INSTANTIATE_TEST_CASE_P(Arithm, Sqrt, Combine(::testing::Values(CV_32F, CV_64F), OCL_ALL_CHANNELS, Bool())); OCL_INSTANTIATE_TEST_CASE_P(Arithm, Normalize, Combine(OCL_ALL_DEPTHS, Values(Channels(1)), Bool())); OCL_INSTANTIATE_TEST_CASE_P(Arithm, InRange, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool(), Bool())); OCL_INSTANTIATE_TEST_CASE_P(Arithm, ConvertScaleAbs, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool())); OCL_INSTANTIATE_TEST_CASE_P(Arithm, ConvertFp16, Combine(OCL_ALL_CHANNELS, Bool())); OCL_INSTANTIATE_TEST_CASE_P(Arithm, ScaleAdd, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool())); OCL_INSTANTIATE_TEST_CASE_P(Arithm, PatchNaNs, Combine(OCL_ALL_CHANNELS, Bool())); OCL_INSTANTIATE_TEST_CASE_P(Arithm, Psnr, Combine(::testing::Values((MatDepth)CV_8U), OCL_ALL_CHANNELS, Bool())); OCL_INSTANTIATE_TEST_CASE_P(Arithm, UMatDot, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool())); OCL_INSTANTIATE_TEST_CASE_P(Arithm, ReduceSum, Combine(testing::Values(std::make_pair(CV_8U, CV_32S), std::make_pair(CV_8U, CV_32F), std::make_pair(CV_8U, CV_64F), std::make_pair(CV_16U, CV_32F), std::make_pair(CV_16U, CV_64F), std::make_pair(CV_16S, CV_32F), std::make_pair(CV_16S, CV_64F), std::make_pair(CV_32F, CV_32F), std::make_pair(CV_32F, CV_64F), std::make_pair(CV_64F, CV_64F)), OCL_ALL_CHANNELS, testing::Values(0, 1), Bool())); OCL_INSTANTIATE_TEST_CASE_P(Arithm, ReduceAvg, Combine(testing::Values(std::make_pair(CV_8U, CV_32S), std::make_pair(CV_8U, CV_32F), std::make_pair(CV_8U, CV_64F), std::make_pair(CV_16U, CV_32F), std::make_pair(CV_16U, CV_64F), std::make_pair(CV_16S, CV_32F), std::make_pair(CV_16S, CV_64F), std::make_pair(CV_32F, CV_32F), std::make_pair(CV_32F, CV_64F), std::make_pair(CV_64F, CV_64F)), OCL_ALL_CHANNELS, testing::Values(0, 1), Bool())); OCL_INSTANTIATE_TEST_CASE_P(Arithm, ReduceMax, Combine(testing::Values(std::make_pair(CV_8U, CV_8U), std::make_pair(CV_16U, CV_16U), std::make_pair(CV_16S, CV_16S), std::make_pair(CV_32F, CV_32F), std::make_pair(CV_64F, CV_64F)), OCL_ALL_CHANNELS, testing::Values(0, 1), Bool())); OCL_INSTANTIATE_TEST_CASE_P(Arithm, ReduceMin, Combine(testing::Values(std::make_pair(CV_8U, CV_8U), std::make_pair(CV_16U, CV_16U), std::make_pair(CV_16S, CV_16S), std::make_pair(CV_32F, CV_32F), std::make_pair(CV_64F, CV_64F)), OCL_ALL_CHANNELS, testing::Values(0, 1), Bool())); // T-API BUG (haveOpenCL() is false): modules/core/src/matrix.cpp:212: error: (-215) u->refcount == 0 in function deallocate OCL_TEST(Normalize, DISABLED_regression_5876_inplace_change_type) { double initial_values[] = {1, 2, 5, 4, 3}; float result_values[] = {0, 0.25, 1, 0.75, 0.5}; Mat m(Size(5, 1), CV_64FC1, initial_values); Mat result(Size(5, 1), CV_32FC1, result_values); UMat um; m.copyTo(um); UMat uresult; result.copyTo(uresult); OCL_ON(normalize(um, um, 1, 0, NORM_MINMAX, CV_32F)); EXPECT_EQ(0, cvtest::norm(um, uresult, NORM_INF)); } } } // namespace cvtest::ocl #endif // HAVE_OPENCL