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@ -1,146 +1,86 @@ |
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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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// This file is part of OpenCV project.
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// It is subject to the license terms in the LICENSE file found in the top-level directory
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// of this distribution and at http://opencv.org/license.html
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#include "opencv2/core/types.hpp" |
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#include "test_precomp.hpp" |
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namespace opencv_test { namespace { |
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#define IMGPROC_BOUNDINGRECT_ERROR_DIFF 1 |
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using namespace cv; |
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using namespace std; |
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#define MESSAGE_ERROR_DIFF "Bounding rectangle found by boundingRect function is incorrect." |
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class CV_BoundingRectTest: public cvtest::ArrayTest |
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{ |
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public: |
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CV_BoundingRectTest(); |
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~CV_BoundingRectTest(); |
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protected: |
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void run (int); |
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private: |
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template <typename T> void generate_src_points(vector <Point_<T> >& src, int n); |
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template <typename T> cv::Rect get_bounding_rect(const vector <Point_<T> > src); |
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template <typename T> bool checking_function_work(vector <Point_<T> >& src, int type); |
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}; |
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namespace opencv_test { namespace { |
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CV_BoundingRectTest::CV_BoundingRectTest() {} |
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CV_BoundingRectTest::~CV_BoundingRectTest() {} |
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template <typename T> void CV_BoundingRectTest::generate_src_points(vector <Point_<T> >& src, int n) |
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template <typename T> |
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cv::Rect calcBoundingRect(Mat pts) |
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{ |
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src.clear(); |
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for (int i = 0; i < n; ++i) |
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src.push_back(Point_<T>(cv::randu<T>(), cv::randu<T>())); |
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CV_Assert(pts.type() == CV_32FC2 || pts.type() == CV_32SC2); |
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CV_Assert(pts.size().width == 1 && pts.size().height > 0); |
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const int N = pts.size().height; |
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// NOTE: using ::lowest(), not ::min()
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T min_w = std::numeric_limits<T>::max(), max_w = std::numeric_limits<T>::lowest(); |
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T min_h = min_w, max_h = max_w; |
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for (int i = 0; i < N; ++i) |
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{ |
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const Point_<T> & pt = pts.at<Point_<T>>(i, 0); |
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min_w = std::min<T>(pt.x, min_w); |
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max_w = std::max<T>(pt.x, max_w); |
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min_h = std::min<T>(pt.y, min_h); |
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max_h = std::max<T>(pt.y, max_h); |
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} |
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return Rect(cvFloor(min_w), cvFloor(min_h), cvFloor(max_w) - cvFloor(min_w) + 1, cvFloor(max_h) - cvFloor(min_h) + 1); |
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} |
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template <typename T> cv::Rect CV_BoundingRectTest::get_bounding_rect(const vector <Point_<T> > src) |
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{ |
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int n = (int)src.size(); |
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T min_w = std::numeric_limits<T>::max(), max_w = std::numeric_limits<T>::min(); |
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T min_h = min_w, max_h = max_w; |
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typedef ::testing::TestWithParam<int> Imgproc_BoundingRect_Types; |
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for (int i = 0; i < n; ++i) |
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TEST_P(Imgproc_BoundingRect_Types, accuracy) |
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{ |
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const int depth = GetParam(); |
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RNG& rng = ::cvtest::TS::ptr()->get_rng(); |
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for (int k = 0; k < 1000; ++k) |
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{ |
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min_w = std::min<T>(src.at(i).x, min_w); |
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max_w = std::max<T>(src.at(i).x, max_w); |
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min_h = std::min<T>(src.at(i).y, min_h); |
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max_h = std::max<T>(src.at(i).y, max_h); |
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SCOPED_TRACE(cv::format("k=%d", k)); |
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const int sz = rng.uniform(1, 10000); |
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Mat src(sz, 1, CV_MAKETYPE(depth, 2)); |
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rng.fill(src, RNG::UNIFORM, Scalar(-100000, -100000), Scalar(100000, 100000)); |
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Rect reference; |
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if (depth == CV_32F) |
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reference = calcBoundingRect<float>(src); |
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else if (depth == CV_32S) |
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reference = calcBoundingRect<int>(src); |
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else |
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CV_Error(Error::StsError, "Test error"); |
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Rect result = cv::boundingRect(src); |
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EXPECT_EQ(reference, result); |
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} |
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return Rect((int)min_w, (int)min_h, (int)max_w-(int)min_w + 1, (int)max_h-(int)min_h + 1); |
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} |
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template <typename T> bool CV_BoundingRectTest::checking_function_work(vector <Point_<T> >& src, int type) |
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TEST_P(Imgproc_BoundingRect_Types, alignment) |
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{ |
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const int MAX_COUNT_OF_POINTS = 1000; |
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const int N = 10000; |
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for (int k = 0; k < N; ++k) |
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const int depth = GetParam(); |
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const int SZ = 100; |
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int idata[SZ]; |
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float fdata[SZ]; |
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for (int i = 0; i < SZ; ++i) |
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{ |
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RNG& rng = ts->get_rng(); |
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int n = rng.next()%MAX_COUNT_OF_POINTS + 1; |
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generate_src_points <T> (src, n); |
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cv::Rect right = get_bounding_rect <T> (src); |
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cv::Rect rect[2] = { boundingRect(src), boundingRect(Mat(src)) }; |
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for (int i = 0; i < 2; ++i) if (rect[i] != right) |
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idata[i] = i; |
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fdata[i] = (float)i; |
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} |
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for (int i = 0; i < 10; ++i) |
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{ |
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for (int len = 1; len < 40; ++len) |
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{ |
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cout << endl; cout << "Checking for the work of boundingRect function..." << endl; |
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cout << "Type of src points: "; |
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switch (type) |
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{ |
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case 0: {cout << "INT"; break;} |
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case 1: {cout << "FLOAT"; break;} |
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default: break; |
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} |
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cout << endl; |
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cout << "Src points are stored as "; if (i == 0) cout << "VECTOR" << endl; else cout << "MAT" << endl; |
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cout << "Number of points: " << n << endl; |
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cout << "Right rect (x, y, w, h): [" << right.x << ", " << right.y << ", " << right.width << ", " << right.height << "]" << endl; |
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cout << "Result rect (x, y, w, h): [" << rect[i].x << ", " << rect[i].y << ", " << rect[i].width << ", " << rect[i].height << "]" << endl; |
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cout << endl; |
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CV_Error(IMGPROC_BOUNDINGRECT_ERROR_DIFF, MESSAGE_ERROR_DIFF); |
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SCOPED_TRACE(cv::format("i=%d, len=%d", i, len)); |
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Mat sub(len, 1, CV_MAKETYPE(depth, 2), (depth == CV_32S) ? (void*)(idata + i) : (void*)(fdata + i)); |
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EXPECT_NO_THROW(boundingRect(sub)); |
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} |
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} |
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return true; |
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} |
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void CV_BoundingRectTest::run(int) |
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{ |
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vector <Point> src_veci; if (!checking_function_work(src_veci, 0)) return; |
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vector <Point2f> src_vecf; checking_function_work(src_vecf, 1); |
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} |
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INSTANTIATE_TEST_CASE_P(, Imgproc_BoundingRect_Types, ::testing::Values(CV_32S, CV_32F)); |
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TEST (Imgproc_BoundingRect, accuracy) { CV_BoundingRectTest test; test.safe_run(); } |
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TEST (Imgproc_BoundingRect, bug_24217) |
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TEST(Imgproc_BoundingRect, bug_24217) |
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{ |
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for (int image_width = 3; image_width < 20; image_width++) |
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{ |
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Alexander Smorkalov
6 months ago
committed by
GitHub