/*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) 2000-2008, Intel Corporation, all rights reserved. // Copyright (C) 2009, Willow Garage 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 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" #if defined _MSC_VER && _MSC_VER >= 1200 # pragma warning (disable : 4408 4201 4100) #endif static std::string path; namespace { template <class T_in, class T_out> void generateIntegralTests(NCVAutoTestLister &testLister, NCVTestSourceProvider<T_in> &src, Ncv32u maxWidth, Ncv32u maxHeight) { for (Ncv32f _i=1.0; _i<maxWidth; _i*=1.2f) { Ncv32u i = (Ncv32u)_i; char testName[80]; sprintf(testName, "LinIntImgW%dH%d", i, 2); testLister.add(new TestIntegralImage<T_in, T_out>(testName, src, i, 2)); } for (Ncv32f _i=1.0; _i<maxHeight; _i*=1.2f) { Ncv32u i = (Ncv32u)_i; char testName[80]; sprintf(testName, "LinIntImgW%dH%d", 2, i); testLister.add(new TestIntegralImage<T_in, T_out>(testName, src, 2, i)); } testLister.add(new TestIntegralImage<T_in, T_out>("LinIntImg_VGA", src, 640, 480)); } void generateSquaredIntegralTests(NCVAutoTestLister &testLister, NCVTestSourceProvider<Ncv8u> &src, Ncv32u maxWidth, Ncv32u maxHeight) { for (Ncv32f _i=1.0; _i<maxWidth; _i*=1.2f) { Ncv32u i = (Ncv32u)_i; char testName[80]; sprintf(testName, "SqIntImgW%dH%d", i, 32); testLister.add(new TestIntegralImageSquared(testName, src, i, 32)); } for (Ncv32f _i=1.0; _i<maxHeight; _i*=1.2f) { Ncv32u i = (Ncv32u)_i; char testName[80]; sprintf(testName, "SqIntImgW%dH%d", 32, i); testLister.add(new TestIntegralImageSquared(testName, src, 32, i)); } testLister.add(new TestIntegralImageSquared("SqLinIntImg_VGA", src, 640, 480)); } void generateRectStdDevTests(NCVAutoTestLister &testLister, NCVTestSourceProvider<Ncv8u> &src, Ncv32u maxWidth, Ncv32u maxHeight) { NcvRect32u rect(1,1,18,18); for (Ncv32f _i=32; _i<maxHeight/2 && _i < maxWidth/2; _i*=1.2f) { Ncv32u i = (Ncv32u)_i; char testName[80]; sprintf(testName, "RectStdDevW%dH%d", i*2, i); testLister.add(new TestRectStdDev(testName, src, i*2, i, rect, 1, true)); testLister.add(new TestRectStdDev(testName, src, i*2, i, rect, 1.5, false)); testLister.add(new TestRectStdDev(testName, src, i-1, i*2-1, rect, 1, false)); testLister.add(new TestRectStdDev(testName, src, i-1, i*2-1, rect, 2.5, true)); } testLister.add(new TestRectStdDev("RectStdDev_VGA", src, 640, 480, rect, 1, true)); } template <class T> void generateResizeTests(NCVAutoTestLister &testLister, NCVTestSourceProvider<T> &src) { for (Ncv32u i=2; i<10; ++i) { char testName[80]; sprintf(testName, "TestResize_VGA_s%d", i); testLister.add(new TestResize<T>(testName, src, 640, 480, i, true)); testLister.add(new TestResize<T>(testName, src, 640, 480, i, false)); } for (Ncv32u i=2; i<10; ++i) { char testName[80]; sprintf(testName, "TestResize_1080_s%d", i); testLister.add(new TestResize<T>(testName, src, 1920, 1080, i, true)); testLister.add(new TestResize<T>(testName, src, 1920, 1080, i, false)); } } void generateNPPSTVectorTests(NCVAutoTestLister &testLister, NCVTestSourceProvider<Ncv32u> &src, Ncv32u maxLength) { //compaction for (Ncv32f _i=256.0; _i<maxLength; _i*=1.5f) { Ncv32u i = (Ncv32u)_i; char testName[80]; sprintf(testName, "Compaction%d", i); testLister.add(new TestCompact(testName, src, i, 0xFFFFFFFF, 30)); } for (Ncv32u i=1; i<260; i++) { char testName[80]; sprintf(testName, "Compaction%d", i); testLister.add(new TestCompact(testName, src, i, 0xC001C0DE, 70)); testLister.add(new TestCompact(testName, src, i, 0xC001C0DE, 0)); testLister.add(new TestCompact(testName, src, i, 0xC001C0DE, 100)); } for (Ncv32u i=256*256-10; i<256*256+10; i++) { char testName[80]; sprintf(testName, "Compaction%d", i); testLister.add(new TestCompact(testName, src, i, 0xFFFFFFFF, 40)); } for (Ncv32u i=256*256*256-2; i<256*256*256+2; i++) { char testName[80]; sprintf(testName, "Compaction%d", i); testLister.add(new TestCompact(testName, src, i, 0x00000000, 2)); } } template <class T> void generateTransposeTests(NCVAutoTestLister &testLister, NCVTestSourceProvider<T> &src) { for (int i=2; i<64; i+=4) { for (int j=2; j<64; j+=4) { char testName[80]; sprintf(testName, "TestTranspose_%dx%d", i, j); testLister.add(new TestTranspose<T>(testName, src, i, j)); } } for (int i=1; i<128; i+=1) { for (int j=1; j<2; j+=1) { char testName[80]; sprintf(testName, "TestTranspose_%dx%d", i, j); testLister.add(new TestTranspose<T>(testName, src, i, j)); } } testLister.add(new TestTranspose<T>("TestTranspose_VGA", src, 640, 480)); testLister.add(new TestTranspose<T>("TestTranspose_HD1080", src, 1920, 1080)); //regression tests testLister.add(new TestTranspose<T>("TestTranspose_reg_0", src, 1072, 375)); } template <class T> void generateDrawRectsTests(NCVAutoTestLister &testLister, NCVTestSourceProvider<T> &src, NCVTestSourceProvider<Ncv32u> &src32u, Ncv32u maxWidth, Ncv32u maxHeight) { for (Ncv32f _i=16.0; _i<maxWidth; _i*=1.1f) { Ncv32u i = (Ncv32u)_i; Ncv32u j = maxHeight * i / maxWidth; if (!j) continue; char testName[80]; sprintf(testName, "DrawRectsW%dH%d", i, j); if (sizeof(T) == sizeof(Ncv32u)) { testLister.add(new TestDrawRects<T>(testName, src, src32u, i, j, i*j/1000+1, (T)0xFFFFFFFF)); } else if (sizeof(T) == sizeof(Ncv8u)) { testLister.add(new TestDrawRects<T>(testName, src, src32u, i, j, i*j/1000+1, (T)0xFF)); } else { ncvAssertPrintCheck(false, "Attempted to instantiate non-existing DrawRects test suite"); } } //test VGA testLister.add(new TestDrawRects<T>("DrawRects_VGA", src, src32u, 640, 480, 640*480/1000, (T)0xFF)); } void generateVectorTests(NCVAutoTestLister &testLister, NCVTestSourceProvider<Ncv32u> &src, Ncv32u maxLength) { //growth for (Ncv32f _i=10.0; _i<maxLength; _i*=1.5f) { Ncv32u i = (Ncv32u)_i; char testName[80]; sprintf(testName, "VectorGrow%d", i); testLister.add(new TestHypothesesGrow(testName, src, 20, 20, 2.2f, i, i/2, i, i/4)); testLister.add(new TestHypothesesGrow(testName, src, 10, 42, 1.2f, i, i, i, 0)); } testLister.add(new TestHypothesesGrow("VectorGrow01b", src, 10, 42, 1.2f, 10, 0, 10, 1)); testLister.add(new TestHypothesesGrow("VectorGrow11b", src, 10, 42, 1.2f, 10, 1, 10, 1)); testLister.add(new TestHypothesesGrow("VectorGrow10b", src, 10, 42, 1.2f, 10, 1, 10, 0)); testLister.add(new TestHypothesesGrow("VectorGrow00b", src, 10, 42, 1.2f, 10, 0, 10, 0)); } void generateHypothesesFiltrationTests(NCVAutoTestLister &testLister, NCVTestSourceProvider<Ncv32u> &src, Ncv32u maxLength) { for (Ncv32f _i=1.0; _i<maxLength; _i*=1.1f) { Ncv32u i = (Ncv32u)_i; char testName[80]; sprintf(testName, "HypFilter%d", i); testLister.add(new TestHypothesesFilter(testName, src, i, 3, 0.2f)); testLister.add(new TestHypothesesFilter(testName, src, i, 0, 0.2f)); testLister.add(new TestHypothesesFilter(testName, src, i, 1, 0.1f)); } } void generateHaarLoaderTests(NCVAutoTestLister &testLister) { testLister.add(new TestHaarCascadeLoader("haarcascade_eye.xml", path + "haarcascade_eye.xml")); testLister.add(new TestHaarCascadeLoader("haarcascade_frontalface_alt.xml", path + "haarcascade_frontalface_alt.xml")); testLister.add(new TestHaarCascadeLoader("haarcascade_frontalface_alt2.xml", path + "haarcascade_frontalface_alt2.xml")); testLister.add(new TestHaarCascadeLoader("haarcascade_frontalface_alt_tree.xml", path + "haarcascade_frontalface_alt_tree.xml")); testLister.add(new TestHaarCascadeLoader("haarcascade_eye_tree_eyeglasses.xml", path + "haarcascade_eye_tree_eyeglasses.xml")); } void generateHaarApplicationTests(NCVAutoTestLister &testLister, NCVTestSourceProvider<Ncv8u> &src, Ncv32u maxWidth, Ncv32u maxHeight) { (void)maxHeight; for (Ncv32u i=100; i<512; i+=41) { for (Ncv32u j=100; j<128; j+=25) { char testName[80]; sprintf(testName, "HaarAppl%d_%d", i, j); testLister.add(new TestHaarCascadeApplication(testName, src, path + "haarcascade_frontalface_alt.xml", j, i)); } } for (Ncv32f _i=20.0; _i<maxWidth; _i*=1.5f) { Ncv32u i = (Ncv32u)_i; char testName[80]; sprintf(testName, "HaarAppl%d", i); testLister.add(new TestHaarCascadeApplication(testName, src, path + "haarcascade_frontalface_alt.xml", i, i)); } } static void devNullOutput(const cv::String& msg) { (void)msg; } } bool nvidia_NPPST_Integral_Image(const std::string& test_data_path, OutputLevel outputLevel) { path = test_data_path.c_str(); ncvSetDebugOutputHandler(devNullOutput); NCVAutoTestLister testListerII("NPPST Integral Image", outputLevel); NCVTestSourceProvider<Ncv8u> testSrcRandom_8u(2010, 0, 255, 2048, 2048); NCVTestSourceProvider<Ncv32f> testSrcRandom_32f(2010, -1.0f, 1.0f, 2048, 2048); generateIntegralTests<Ncv8u, Ncv32u>(testListerII, testSrcRandom_8u, 2048, 2048); generateIntegralTests<Ncv32f, Ncv32f>(testListerII, testSrcRandom_32f, 2048, 2048); return testListerII.invoke(); } bool nvidia_NPPST_Squared_Integral_Image(const std::string& test_data_path, OutputLevel outputLevel) { path = test_data_path; ncvSetDebugOutputHandler(devNullOutput); NCVAutoTestLister testListerSII("NPPST Squared Integral Image", outputLevel); NCVTestSourceProvider<Ncv8u> testSrcRandom_8u(2010, 0, 255, 2048, 2048); generateSquaredIntegralTests(testListerSII, testSrcRandom_8u, 2048, 2048); return testListerSII.invoke(); } bool nvidia_NPPST_RectStdDev(const std::string& test_data_path, OutputLevel outputLevel) { path = test_data_path; ncvSetDebugOutputHandler(devNullOutput); NCVAutoTestLister testListerRStdDev("NPPST RectStdDev", outputLevel); NCVTestSourceProvider<Ncv8u> testSrcRandom_8u(2010, 0, 255, 2048, 2048); generateRectStdDevTests(testListerRStdDev, testSrcRandom_8u, 2048, 2048); return testListerRStdDev.invoke(); } bool nvidia_NPPST_Resize(const std::string& test_data_path, OutputLevel outputLevel) { path = test_data_path; ncvSetDebugOutputHandler(devNullOutput); NCVAutoTestLister testListerResize("NPPST Resize", outputLevel); NCVTestSourceProvider<Ncv32u> testSrcRandom_32u(2010, 0, 0xFFFFFFFF, 2048, 2048); NCVTestSourceProvider<Ncv64u> testSrcRandom_64u(2010, 0, (Ncv64u) -1, 2048, 2048); generateResizeTests(testListerResize, testSrcRandom_32u); generateResizeTests(testListerResize, testSrcRandom_64u); return testListerResize.invoke(); } bool nvidia_NPPST_Vector_Operations(const std::string& test_data_path, OutputLevel outputLevel) { path = test_data_path; ncvSetDebugOutputHandler(devNullOutput); NCVAutoTestLister testListerNPPSTVectorOperations("NPPST Vector Operations", outputLevel); NCVTestSourceProvider<Ncv32u> testSrcRandom_32u(2010, 0, 0xFFFFFFFF, 2048, 2048); generateNPPSTVectorTests(testListerNPPSTVectorOperations, testSrcRandom_32u, 2048*2048); return testListerNPPSTVectorOperations.invoke(); } bool nvidia_NPPST_Transpose(const std::string& test_data_path, OutputLevel outputLevel) { path = test_data_path; ncvSetDebugOutputHandler(devNullOutput); NCVAutoTestLister testListerTranspose("NPPST Transpose", outputLevel); NCVTestSourceProvider<Ncv32u> testSrcRandom_32u(2010, 0, 0xFFFFFFFF, 2048, 2048); NCVTestSourceProvider<Ncv64u> testSrcRandom_64u(2010, 0, (Ncv64u) -1, 2048, 2048); generateTransposeTests(testListerTranspose, testSrcRandom_32u); generateTransposeTests(testListerTranspose, testSrcRandom_64u); return testListerTranspose.invoke(); } bool nvidia_NCV_Vector_Operations(const std::string& test_data_path, OutputLevel outputLevel) { path = test_data_path; ncvSetDebugOutputHandler(devNullOutput); NCVAutoTestLister testListerVectorOperations("Vector Operations", outputLevel); NCVTestSourceProvider<Ncv32u> testSrcRandom_32u(2010, 0, 0xFFFFFFFF, 2048, 2048); generateVectorTests(testListerVectorOperations, testSrcRandom_32u, 2048*2048); return testListerVectorOperations.invoke(); } bool nvidia_NCV_Haar_Cascade_Loader(const std::string& test_data_path, OutputLevel outputLevel) { path = test_data_path; ncvSetDebugOutputHandler(devNullOutput); NCVAutoTestLister testListerHaarLoader("Haar Cascade Loader", outputLevel); generateHaarLoaderTests(testListerHaarLoader); return testListerHaarLoader.invoke(); } bool nvidia_NCV_Haar_Cascade_Application(const std::string& test_data_path, OutputLevel outputLevel) { path = test_data_path; ncvSetDebugOutputHandler(devNullOutput); NCVAutoTestLister testListerHaarAppl("Haar Cascade Application", outputLevel); NCVTestSourceProvider<Ncv8u> testSrcFacesVGA_8u(path + "group_1_640x480_VGA.pgm"); generateHaarApplicationTests(testListerHaarAppl, testSrcFacesVGA_8u, 640, 480); return testListerHaarAppl.invoke(); } bool nvidia_NCV_Hypotheses_Filtration(const std::string& test_data_path, OutputLevel outputLevel) { path = test_data_path; ncvSetDebugOutputHandler(devNullOutput); NCVAutoTestLister testListerHypFiltration("Hypotheses Filtration", outputLevel); NCVTestSourceProvider<Ncv32u> testSrcRandom_32u(2010, 0, 0xFFFFFFFF, 2048, 2048); generateHypothesesFiltrationTests(testListerHypFiltration, testSrcRandom_32u, 512); return testListerHypFiltration.invoke(); } bool nvidia_NCV_Visualization(const std::string& test_data_path, OutputLevel outputLevel) { path = test_data_path; ncvSetDebugOutputHandler(devNullOutput); NCVAutoTestLister testListerVisualize("Visualization", outputLevel); NCVTestSourceProvider<Ncv8u> testSrcRandom_8u(2010, 0, 255, 2048, 2048); NCVTestSourceProvider<Ncv32u> testSrcRandom_32u(2010, 0, RAND_MAX, 2048, 2048); generateDrawRectsTests(testListerVisualize, testSrcRandom_8u, testSrcRandom_32u, 2048, 2048); generateDrawRectsTests(testListerVisualize, testSrcRandom_32u, testSrcRandom_32u, 2048, 2048); return testListerVisualize.invoke(); }