chore: import upstream snapshot with attribution
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wehub-resource-sync
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/*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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namespace opencv_test { namespace {
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typedef testing::TestWithParam<std::tuple<int, Size> > HasNonZeroAllZeros;
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TEST_P(HasNonZeroAllZeros, hasNonZeroAllZeros)
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{
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const int type = std::get<0>(GetParam());
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const Size size = std::get<1>(GetParam());
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Mat m = Mat::zeros(size, type);
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EXPECT_FALSE(hasNonZero(m));
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}
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INSTANTIATE_TEST_CASE_P(Core, HasNonZeroAllZeros,
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testing::Combine(
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testing::Values(CV_8UC1, CV_8SC1, CV_16UC1, CV_16SC1, CV_32SC1, CV_32FC1, CV_64FC1),
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testing::Values(Size(1, 1), Size(320, 240), Size(127, 113), Size(1, 113))
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)
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);
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typedef testing::TestWithParam<std::tuple<int, Size> > HasNonZeroNegZeros;
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TEST_P(HasNonZeroNegZeros, hasNonZeroNegZeros)
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{
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const int type = std::get<0>(GetParam());
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const Size size = std::get<1>(GetParam());
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Mat m = Mat(size, type);
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m.setTo(Scalar::all(-0.));
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EXPECT_FALSE(hasNonZero(m));
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}
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INSTANTIATE_TEST_CASE_P(Core, HasNonZeroNegZeros,
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testing::Combine(
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testing::Values(CV_32FC1, CV_64FC1),
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testing::Values(Size(1, 1), Size(320, 240), Size(127, 113), Size(1, 113))
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)
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);
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typedef testing::TestWithParam<std::tuple<int, Size> > HasNonZeroLimitValues;
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TEST_P(HasNonZeroLimitValues, hasNonZeroLimitValues)
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{
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const int type = std::get<0>(GetParam());
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const Size size = std::get<1>(GetParam());
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Mat m = Mat(size, type);
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m.setTo(Scalar::all(std::numeric_limits<double>::infinity()));
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EXPECT_TRUE(hasNonZero(m));
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m.setTo(Scalar::all(-std::numeric_limits<double>::infinity()));
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EXPECT_TRUE(hasNonZero(m));
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m.setTo(Scalar::all(std::numeric_limits<double>::quiet_NaN()));
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EXPECT_TRUE(hasNonZero(m));
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m.setTo((CV_MAT_DEPTH(type) == CV_64F) ? Scalar::all(std::numeric_limits<double>::epsilon()) : Scalar::all(std::numeric_limits<float>::epsilon()));
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EXPECT_TRUE(hasNonZero(m));
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m.setTo((CV_MAT_DEPTH(type) == CV_64F) ? Scalar::all(std::numeric_limits<double>::min()) : Scalar::all(std::numeric_limits<float>::min()));
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EXPECT_TRUE(hasNonZero(m));
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m.setTo((CV_MAT_DEPTH(type) == CV_64F) ? Scalar::all(std::numeric_limits<double>::denorm_min()) : Scalar::all(std::numeric_limits<float>::denorm_min()));
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EXPECT_TRUE(hasNonZero(m));
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}
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INSTANTIATE_TEST_CASE_P(Core, HasNonZeroLimitValues,
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testing::Combine(
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testing::Values(CV_32FC1, CV_64FC1),
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testing::Values(Size(1, 1), Size(320, 240), Size(127, 113), Size(1, 113))
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)
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);
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typedef testing::TestWithParam<std::tuple<int, Size> > HasNonZeroRandom;
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TEST_P(HasNonZeroRandom, hasNonZeroRandom)
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{
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const int type = std::get<0>(GetParam());
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const Size size = std::get<1>(GetParam());
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RNG& rng = theRNG();
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const size_t N = std::min(100, size.area());
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for(size_t i = 0 ; i<N ; ++i)
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{
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const int nz_pos_x = rng.uniform(0, size.width);
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const int nz_pos_y = rng.uniform(0, size.height);
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Mat m = Mat::zeros(size, type);
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Mat nzROI = Mat(m, Rect(nz_pos_x, nz_pos_y, 1, 1));
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nzROI.setTo(Scalar::all(1));
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EXPECT_TRUE(hasNonZero(m));
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}
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}
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INSTANTIATE_TEST_CASE_P(Core, HasNonZeroRandom,
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testing::Combine(
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testing::Values(CV_8UC1, CV_8SC1, CV_16UC1, CV_16SC1, CV_32SC1, CV_32FC1, CV_64FC1),
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testing::Values(Size(1, 1), Size(320, 240), Size(127, 113), Size(1, 113))
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)
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);
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typedef testing::TestWithParam<tuple<int, int, bool> > HasNonZeroNd;
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TEST_P(HasNonZeroNd, hasNonZeroNd)
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{
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const int type = get<0>(GetParam());
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const int ndims = get<1>(GetParam());
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const bool continuous = get<2>(GetParam());
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RNG& rng = theRNG();
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const size_t N = 10;
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for(size_t i = 0 ; i<N ; ++i)
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{
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std::vector<size_t> steps(ndims);
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std::vector<int> sizes(ndims);
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size_t totalBytes = 1;
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for(int dim = 0 ; dim<ndims ; ++dim)
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{
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const bool isFirstDim = (dim == 0);
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const bool isLastDim = (dim+1 == ndims);
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const int length = rng.uniform(1, 64);
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steps[dim] = (isLastDim ? 1 : static_cast<size_t>(length))*CV_ELEM_SIZE(type);
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sizes[dim] = (isFirstDim || continuous) ? length : rng.uniform(1, length);
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totalBytes *= steps[dim]*static_cast<size_t>(sizes[dim]);
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}
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std::vector<unsigned char> buffer(totalBytes);
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void* data = buffer.data();
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Mat m = Mat(ndims, sizes.data(), type, data, steps.data());
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std::vector<Range> nzRange(ndims);
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for(int dim = 0 ; dim<ndims ; ++dim)
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{
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const int pos = rng.uniform(0, sizes[dim]);
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nzRange[dim] = Range(pos, pos+1);
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}
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Mat nzROI = Mat(m, nzRange.data());
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nzROI.setTo(Scalar::all(1));
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const int nzCount = countNonZero(m);
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EXPECT_EQ((nzCount>0), hasNonZero(m));
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}
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}
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INSTANTIATE_TEST_CASE_P(Core, HasNonZeroNd,
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testing::Combine(
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testing::Values(CV_8UC1),
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testing::Values(2, 3),
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testing::Values(true, false)
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)
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);
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}} // namespace
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