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Open Source Computer Vision Library
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459 lines
17 KiB
459 lines
17 KiB
/*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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CV_UNUSED(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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CV_UNUSED(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); |
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return testListerHaarAppl.invoke(); |
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} |
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bool nvidia_NCV_Hypotheses_Filtration(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 testListerHypFiltration("Hypotheses Filtration", outputLevel); |
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NCVTestSourceProvider<Ncv32u> testSrcRandom_32u(2010, 0, 0xFFFFFFFF, 2048, 2048); |
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generateHypothesesFiltrationTests(testListerHypFiltration, testSrcRandom_32u, 512); |
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return testListerHypFiltration.invoke(); |
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} |
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bool nvidia_NCV_Visualization(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 testListerVisualize("Visualization", outputLevel); |
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NCVTestSourceProvider<Ncv8u> testSrcRandom_8u(2010, 0, 255, 2048, 2048); |
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NCVTestSourceProvider<Ncv32u> testSrcRandom_32u(2010, 0, RAND_MAX, 2048, 2048); |
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generateDrawRectsTests(testListerVisualize, testSrcRandom_8u, testSrcRandom_32u, 2048, 2048); |
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generateDrawRectsTests(testListerVisualize, testSrcRandom_32u, testSrcRandom_32u, 2048, 2048); |
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return testListerVisualize.invoke(); |
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}
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