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8a62b03761
C-API cleanup for OpenCV 5.x (imgproc, highgui) * imgproc: C-API cleanup * imgproc: increase cvtColor test diff threshold * imgproc: C-API cleanup pt.2 * imgproc: C-API cleanup pt.3 * imgproc: C-API cleanup pt.4 * imgproc: C-API cleanup pt.5 * imgproc: C-API cleanup pt.5 * imgproc: C-API cleanup pt.6 * highgui: C-API cleanup * highgui: C-API cleanup pt.2 * highgui: C-API cleanup pt.3 * highgui: C-API cleanup pt.3 * imgproc: C-API cleanup pt.7 * fixup! highgui: C-API cleanup pt.3 * fixup! imgproc: C-API cleanup pt.6 * imgproc: C-API cleanup pt.8 * imgproc: C-API cleanup pt.9 * fixup! imgproc: C-API cleanup pt.9 * fixup! imgproc: C-API cleanup pt.9 * fixup! imgproc: C-API cleanup pt.9 * fixup! imgproc: C-API cleanup pt.9 * fixup! imgproc: C-API cleanup pt.9 * fixup! imgproc: C-API cleanup pt.9
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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BIGDATA_TEST(Imgproc_Threshold, huge)
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{
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Mat m(65000, 40000, CV_8U);
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ASSERT_FALSE(m.isContinuous());
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uint64 i, n = (uint64)m.rows*m.cols;
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for( i = 0; i < n; i++ )
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m.data[i] = (uchar)(i & 255);
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cv::threshold(m, m, 127, 255, cv::THRESH_BINARY);
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int nz = cv::countNonZero(m); // FIXIT 'int' is not enough here (overflow is possible with other inputs)
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ASSERT_EQ((uint64)nz, n / 2);
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}
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TEST(Imgproc_Threshold, regression_THRESH_TOZERO_IPP_16085)
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{
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Size sz(16, 16);
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Mat input(sz, CV_32F, Scalar::all(2));
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Mat result;
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cv::threshold(input, result, 2.0, 0.0, THRESH_TOZERO);
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EXPECT_EQ(0, cv::norm(result, NORM_INF));
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}
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TEST(Imgproc_Threshold, regression_THRESH_TOZERO_IPP_21258)
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{
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Size sz(16, 16);
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float val = nextafterf(16.0f, 0.0f); // 0x417fffff, all bits in mantissa are 1
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Mat input(sz, CV_32F, Scalar::all(val));
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Mat result;
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cv::threshold(input, result, val, 0.0, THRESH_TOZERO);
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EXPECT_EQ(0, cv::norm(result, NORM_INF));
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}
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TEST(Imgproc_Threshold, regression_THRESH_TOZERO_IPP_21258_Min)
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{
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Size sz(16, 16);
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float min_val = -std::numeric_limits<float>::max();
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Mat input(sz, CV_32F, Scalar::all(min_val));
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Mat result;
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cv::threshold(input, result, min_val, 0.0, THRESH_TOZERO);
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EXPECT_EQ(0, cv::norm(result, NORM_INF));
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}
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TEST(Imgproc_Threshold, regression_THRESH_TOZERO_IPP_21258_Max)
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{
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Size sz(16, 16);
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float max_val = std::numeric_limits<float>::max();
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Mat input(sz, CV_32F, Scalar::all(max_val));
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Mat result;
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cv::threshold(input, result, max_val, 0.0, THRESH_TOZERO);
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EXPECT_EQ(0, cv::norm(result, NORM_INF));
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}
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}} // namespace
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