460 lines
17 KiB
C++
460 lines
17 KiB
C++
/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "test_precomp.hpp"
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#if defined _MSC_VER && _MSC_VER >= 1200
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# pragma warning (disable : 4408 4201 4100)
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#endif
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static std::string path;
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namespace {
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template <class T_in, class T_out>
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void generateIntegralTests(NCVAutoTestLister &testLister,
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NCVTestSourceProvider<T_in> &src,
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Ncv32u maxWidth, Ncv32u maxHeight)
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{
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for (Ncv32f _i=1.0; _i<maxWidth; _i*=1.2f)
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{
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Ncv32u i = (Ncv32u)_i;
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char testName[80];
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sprintf(testName, "LinIntImgW%dH%d", i, 2);
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testLister.add(new TestIntegralImage<T_in, T_out>(testName, src, i, 2));
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}
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for (Ncv32f _i=1.0; _i<maxHeight; _i*=1.2f)
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{
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Ncv32u i = (Ncv32u)_i;
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char testName[80];
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sprintf(testName, "LinIntImgW%dH%d", 2, i);
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testLister.add(new TestIntegralImage<T_in, T_out>(testName, src, 2, i));
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}
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testLister.add(new TestIntegralImage<T_in, T_out>("LinIntImg_VGA", src, 640, 480));
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}
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void generateSquaredIntegralTests(NCVAutoTestLister &testLister, NCVTestSourceProvider<Ncv8u> &src,
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Ncv32u maxWidth, Ncv32u maxHeight)
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{
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for (Ncv32f _i=1.0; _i<maxWidth; _i*=1.2f)
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{
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Ncv32u i = (Ncv32u)_i;
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char testName[80];
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sprintf(testName, "SqIntImgW%dH%d", i, 32);
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testLister.add(new TestIntegralImageSquared(testName, src, i, 32));
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}
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for (Ncv32f _i=1.0; _i<maxHeight; _i*=1.2f)
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{
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Ncv32u i = (Ncv32u)_i;
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char testName[80];
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sprintf(testName, "SqIntImgW%dH%d", 32, i);
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testLister.add(new TestIntegralImageSquared(testName, src, 32, i));
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}
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testLister.add(new TestIntegralImageSquared("SqLinIntImg_VGA", src, 640, 480));
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}
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void generateRectStdDevTests(NCVAutoTestLister &testLister, NCVTestSourceProvider<Ncv8u> &src,
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Ncv32u maxWidth, Ncv32u maxHeight)
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{
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NcvRect32u rect(1,1,18,18);
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for (Ncv32f _i=32; _i<maxHeight/2 && _i < maxWidth/2; _i*=1.2f)
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{
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Ncv32u i = (Ncv32u)_i;
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char testName[80];
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sprintf(testName, "RectStdDevW%dH%d", i*2, i);
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testLister.add(new TestRectStdDev(testName, src, i*2, i, rect, 1, true));
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testLister.add(new TestRectStdDev(testName, src, i*2, i, rect, 1.5, false));
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testLister.add(new TestRectStdDev(testName, src, i-1, i*2-1, rect, 1, false));
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testLister.add(new TestRectStdDev(testName, src, i-1, i*2-1, rect, 2.5, true));
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}
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testLister.add(new TestRectStdDev("RectStdDev_VGA", src, 640, 480, rect, 1, true));
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}
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template <class T>
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void generateResizeTests(NCVAutoTestLister &testLister, NCVTestSourceProvider<T> &src)
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{
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for (Ncv32u i=2; i<10; ++i)
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{
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char testName[80];
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sprintf(testName, "TestResize_VGA_s%d", i);
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testLister.add(new TestResize<T>(testName, src, 640, 480, i, true));
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testLister.add(new TestResize<T>(testName, src, 640, 480, i, false));
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}
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for (Ncv32u i=2; i<10; ++i)
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{
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char testName[80];
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sprintf(testName, "TestResize_1080_s%d", i);
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testLister.add(new TestResize<T>(testName, src, 1920, 1080, i, true));
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testLister.add(new TestResize<T>(testName, src, 1920, 1080, i, false));
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}
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}
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void generateNPPSTVectorTests(NCVAutoTestLister &testLister, NCVTestSourceProvider<Ncv32u> &src, Ncv32u maxLength)
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{
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//compaction
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for (Ncv32f _i=256.0; _i<maxLength; _i*=1.5f)
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{
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Ncv32u i = (Ncv32u)_i;
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char testName[80];
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sprintf(testName, "Compaction%d", i);
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testLister.add(new TestCompact(testName, src, i, 0xFFFFFFFF, 30));
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}
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for (Ncv32u i=1; i<260; i++)
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{
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char testName[80];
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sprintf(testName, "Compaction%d", i);
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testLister.add(new TestCompact(testName, src, i, 0xC001C0DE, 70));
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testLister.add(new TestCompact(testName, src, i, 0xC001C0DE, 0));
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testLister.add(new TestCompact(testName, src, i, 0xC001C0DE, 100));
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}
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for (Ncv32u i=256*256-10; i<256*256+10; i++)
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{
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char testName[80];
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sprintf(testName, "Compaction%d", i);
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testLister.add(new TestCompact(testName, src, i, 0xFFFFFFFF, 40));
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}
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for (Ncv32u i=256*256*256-2; i<256*256*256+2; i++)
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{
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char testName[80];
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sprintf(testName, "Compaction%d", i);
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testLister.add(new TestCompact(testName, src, i, 0x00000000, 2));
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}
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}
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template <class T>
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void generateTransposeTests(NCVAutoTestLister &testLister, NCVTestSourceProvider<T> &src)
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{
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for (int i=2; i<64; i+=4)
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{
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for (int j=2; j<64; j+=4)
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{
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char testName[80];
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sprintf(testName, "TestTranspose_%dx%d", i, j);
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testLister.add(new TestTranspose<T>(testName, src, i, j));
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}
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}
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for (int i=1; i<128; i+=1)
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{
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for (int j=1; j<2; j+=1)
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{
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char testName[80];
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sprintf(testName, "TestTranspose_%dx%d", i, j);
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testLister.add(new TestTranspose<T>(testName, src, i, j));
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}
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}
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testLister.add(new TestTranspose<T>("TestTranspose_VGA", src, 640, 480));
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testLister.add(new TestTranspose<T>("TestTranspose_HD1080", src, 1920, 1080));
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//regression tests
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testLister.add(new TestTranspose<T>("TestTranspose_reg_0", src, 1072, 375));
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}
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template <class T>
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void generateDrawRectsTests(NCVAutoTestLister &testLister,
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NCVTestSourceProvider<T> &src,
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NCVTestSourceProvider<Ncv32u> &src32u,
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Ncv32u maxWidth, Ncv32u maxHeight)
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{
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for (Ncv32f _i=16.0; _i<maxWidth; _i*=1.1f)
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{
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Ncv32u i = (Ncv32u)_i;
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Ncv32u j = maxHeight * i / maxWidth;
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if (!j) continue;
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char testName[80];
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sprintf(testName, "DrawRectsW%dH%d", i, j);
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if (sizeof(T) == sizeof(Ncv32u))
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{
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testLister.add(new TestDrawRects<T>(testName, src, src32u, i, j, i*j/1000+1, (T)0xFFFFFFFF));
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}
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else if (sizeof(T) == sizeof(Ncv8u))
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{
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testLister.add(new TestDrawRects<T>(testName, src, src32u, i, j, i*j/1000+1, (T)0xFF));
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}
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else
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{
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ncvAssertPrintCheck(false, "Attempted to instantiate non-existing DrawRects test suite");
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}
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}
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//test VGA
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testLister.add(new TestDrawRects<T>("DrawRects_VGA", src, src32u, 640, 480, 640*480/1000, (T)0xFF));
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}
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void generateVectorTests(NCVAutoTestLister &testLister, NCVTestSourceProvider<Ncv32u> &src, Ncv32u maxLength)
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{
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//growth
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for (Ncv32f _i=10.0; _i<maxLength; _i*=1.5f)
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{
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Ncv32u i = (Ncv32u)_i;
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char testName[80];
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sprintf(testName, "VectorGrow%d", i);
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testLister.add(new TestHypothesesGrow(testName, src, 20, 20, 2.2f, i, i/2, i, i/4));
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testLister.add(new TestHypothesesGrow(testName, src, 10, 42, 1.2f, i, i, i, 0));
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}
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testLister.add(new TestHypothesesGrow("VectorGrow01b", src, 10, 42, 1.2f, 10, 0, 10, 1));
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testLister.add(new TestHypothesesGrow("VectorGrow11b", src, 10, 42, 1.2f, 10, 1, 10, 1));
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testLister.add(new TestHypothesesGrow("VectorGrow10b", src, 10, 42, 1.2f, 10, 1, 10, 0));
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testLister.add(new TestHypothesesGrow("VectorGrow00b", src, 10, 42, 1.2f, 10, 0, 10, 0));
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}
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void generateHypothesesFiltrationTests(NCVAutoTestLister &testLister, NCVTestSourceProvider<Ncv32u> &src, Ncv32u maxLength)
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{
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for (Ncv32f _i=1.0; _i<maxLength; _i*=1.1f)
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{
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Ncv32u i = (Ncv32u)_i;
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char testName[80];
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sprintf(testName, "HypFilter%d", i);
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testLister.add(new TestHypothesesFilter(testName, src, i, 3, 0.2f));
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testLister.add(new TestHypothesesFilter(testName, src, i, 0, 0.2f));
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testLister.add(new TestHypothesesFilter(testName, src, i, 1, 0.1f));
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}
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}
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void generateHaarLoaderTests(NCVAutoTestLister &testLister)
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{
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testLister.add(new TestHaarCascadeLoader("haarcascade_eye.xml", path + "haarcascade_eye.xml"));
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testLister.add(new TestHaarCascadeLoader("haarcascade_frontalface_alt.xml", path + "haarcascade_frontalface_alt.xml"));
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testLister.add(new TestHaarCascadeLoader("haarcascade_frontalface_alt2.xml", path + "haarcascade_frontalface_alt2.xml"));
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testLister.add(new TestHaarCascadeLoader("haarcascade_frontalface_alt_tree.xml", path + "haarcascade_frontalface_alt_tree.xml"));
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testLister.add(new TestHaarCascadeLoader("haarcascade_eye_tree_eyeglasses.xml", path + "haarcascade_eye_tree_eyeglasses.xml"));
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}
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void generateHaarApplicationTests(NCVAutoTestLister &testLister, NCVTestSourceProvider<Ncv8u> &src,
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Ncv32u maxWidth, Ncv32u maxHeight)
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{
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(void)maxHeight;
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for (Ncv32u i=100; i<512; i+=41)
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{
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for (Ncv32u j=100; j<128; j+=25)
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{
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char testName[80];
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sprintf(testName, "HaarAppl%d_%d", i, j);
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testLister.add(new TestHaarCascadeApplication(testName, src, path + "haarcascade_frontalface_alt.xml", j, i));
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}
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}
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for (Ncv32f _i=20.0; _i<maxWidth; _i*=1.5f)
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{
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Ncv32u i = (Ncv32u)_i;
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char testName[80];
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sprintf(testName, "HaarAppl%d", i);
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testLister.add(new TestHaarCascadeApplication(testName, src, path + "haarcascade_frontalface_alt.xml", i, i));
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}
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}
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static void devNullOutput(const cv::String& msg)
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{
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(void)msg;
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}
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}
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bool nvidia_NPPST_Integral_Image(const std::string& test_data_path, OutputLevel outputLevel)
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{
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path = test_data_path.c_str();
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ncvSetDebugOutputHandler(devNullOutput);
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NCVAutoTestLister testListerII("NPPST Integral Image", outputLevel);
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NCVTestSourceProvider<Ncv8u> testSrcRandom_8u(2010, 0, 255, 2048, 2048);
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NCVTestSourceProvider<Ncv32f> testSrcRandom_32f(2010, -1.0f, 1.0f, 2048, 2048);
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generateIntegralTests<Ncv8u, Ncv32u>(testListerII, testSrcRandom_8u, 2048, 2048);
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generateIntegralTests<Ncv32f, Ncv32f>(testListerII, testSrcRandom_32f, 2048, 2048);
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return testListerII.invoke();
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}
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bool nvidia_NPPST_Squared_Integral_Image(const std::string& test_data_path, OutputLevel outputLevel)
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{
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path = test_data_path;
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ncvSetDebugOutputHandler(devNullOutput);
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NCVAutoTestLister testListerSII("NPPST Squared Integral Image", outputLevel);
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NCVTestSourceProvider<Ncv8u> testSrcRandom_8u(2010, 0, 255, 2048, 2048);
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generateSquaredIntegralTests(testListerSII, testSrcRandom_8u, 2048, 2048);
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return testListerSII.invoke();
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}
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bool nvidia_NPPST_RectStdDev(const std::string& test_data_path, OutputLevel outputLevel)
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{
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path = test_data_path;
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ncvSetDebugOutputHandler(devNullOutput);
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NCVAutoTestLister testListerRStdDev("NPPST RectStdDev", outputLevel);
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NCVTestSourceProvider<Ncv8u> testSrcRandom_8u(2010, 0, 255, 2048, 2048);
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generateRectStdDevTests(testListerRStdDev, testSrcRandom_8u, 2048, 2048);
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return testListerRStdDev.invoke();
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}
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bool nvidia_NPPST_Resize(const std::string& test_data_path, OutputLevel outputLevel)
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{
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path = test_data_path;
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ncvSetDebugOutputHandler(devNullOutput);
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NCVAutoTestLister testListerResize("NPPST Resize", outputLevel);
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NCVTestSourceProvider<Ncv32u> testSrcRandom_32u(2010, 0, 0xFFFFFFFF, 2048, 2048);
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NCVTestSourceProvider<Ncv64u> testSrcRandom_64u(2010, 0, (Ncv64u) -1, 2048, 2048);
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generateResizeTests(testListerResize, testSrcRandom_32u);
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generateResizeTests(testListerResize, testSrcRandom_64u);
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return testListerResize.invoke();
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}
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bool nvidia_NPPST_Vector_Operations(const std::string& test_data_path, OutputLevel outputLevel)
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{
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path = test_data_path;
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ncvSetDebugOutputHandler(devNullOutput);
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NCVAutoTestLister testListerNPPSTVectorOperations("NPPST Vector Operations", outputLevel);
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NCVTestSourceProvider<Ncv32u> testSrcRandom_32u(2010, 0, 0xFFFFFFFF, 2048, 2048);
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generateNPPSTVectorTests(testListerNPPSTVectorOperations, testSrcRandom_32u, 2048*2048);
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return testListerNPPSTVectorOperations.invoke();
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}
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bool nvidia_NPPST_Transpose(const std::string& test_data_path, OutputLevel outputLevel)
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{
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path = test_data_path;
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ncvSetDebugOutputHandler(devNullOutput);
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NCVAutoTestLister testListerTranspose("NPPST Transpose", outputLevel);
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NCVTestSourceProvider<Ncv32u> testSrcRandom_32u(2010, 0, 0xFFFFFFFF, 2048, 2048);
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NCVTestSourceProvider<Ncv64u> testSrcRandom_64u(2010, 0, (Ncv64u) -1, 2048, 2048);
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generateTransposeTests(testListerTranspose, testSrcRandom_32u);
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generateTransposeTests(testListerTranspose, testSrcRandom_64u);
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return testListerTranspose.invoke();
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}
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bool nvidia_NCV_Vector_Operations(const std::string& test_data_path, OutputLevel outputLevel)
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{
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path = test_data_path;
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ncvSetDebugOutputHandler(devNullOutput);
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NCVAutoTestLister testListerVectorOperations("Vector Operations", outputLevel);
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NCVTestSourceProvider<Ncv32u> testSrcRandom_32u(2010, 0, 0xFFFFFFFF, 2048, 2048);
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generateVectorTests(testListerVectorOperations, testSrcRandom_32u, 2048*2048);
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return testListerVectorOperations.invoke();
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}
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bool nvidia_NCV_Haar_Cascade_Loader(const std::string& test_data_path, OutputLevel outputLevel)
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{
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path = test_data_path;
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ncvSetDebugOutputHandler(devNullOutput);
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NCVAutoTestLister testListerHaarLoader("Haar Cascade Loader", outputLevel);
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generateHaarLoaderTests(testListerHaarLoader);
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return testListerHaarLoader.invoke();
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}
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bool nvidia_NCV_Haar_Cascade_Application(const std::string& test_data_path, OutputLevel outputLevel)
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{
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path = test_data_path;
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ncvSetDebugOutputHandler(devNullOutput);
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NCVAutoTestLister testListerHaarAppl("Haar Cascade Application", outputLevel);
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NCVTestSourceProvider<Ncv8u> testSrcFacesVGA_8u(path + "group_1_640x480_VGA.pgm");
|
|
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|
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();
|
|
}
|