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100 lines
3.7 KiB
C++
100 lines
3.7 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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// Intel License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000, Intel Corporation, 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 Intel Corporation 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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namespace opencv_test { namespace {
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class CV_LshTableBadArgTest : public cvtest::BadArgTest
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{
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protected:
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void run(int);
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void run_func(void) { }
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struct Caller
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{
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int table_number, key_size, multi_probe_level;
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Mat features;
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void operator()() const
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{
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flann::LshIndexParams indexParams(table_number, key_size, multi_probe_level);
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flann::Index lsh(features, indexParams);
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}
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};
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};
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void CV_LshTableBadArgTest::run( int /* start_from */ )
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{
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RNG &rng = ts->get_rng();
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Caller caller;
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Size featuresSize = cvtest::randomSize(rng, 10.0);
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caller.features = cvtest::randomMat(rng, featuresSize, CV_8UC1, 0, 255, false);
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caller.table_number = 12;
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caller.multi_probe_level = 2;
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int errors = 0;
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caller.key_size = 0;
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errors += run_test_case(Error::StsBadArg, "key_size is zero", caller);
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caller.key_size = static_cast<int>(sizeof(size_t) * CHAR_BIT);
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errors += run_test_case(Error::StsBadArg, "key_size is too big", caller);
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caller.key_size += cvtest::randInt(rng) % 100;
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errors += run_test_case(Error::StsBadArg, "key_size is too big", caller);
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if (errors != 0)
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ts->set_failed_test_info(cvtest::TS::FAIL_MISMATCH);
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else
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ts->set_failed_test_info(cvtest::TS::OK);
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}
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TEST(Flann_LshTable, badarg) { CV_LshTableBadArgTest test; test.safe_run(); }
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TEST(Flann_LshTable, bad_any_cast) {
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Mat features = Mat::ones(1, 64, CV_8U);
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EXPECT_NO_THROW(flann::GenericIndex<cvflann::Hamming2<unsigned char> >(
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features, cvflann::LshIndexParams()));
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}
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}} // namespace
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