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imgproc: fixed alignment issue and improved test for boundingRect
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@ -698,15 +698,16 @@ static Rect pointSetBoundingRect( const Mat& points )
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return Rect();
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#if CV_SIMD // TODO: enable for CV_SIMD_SCALABLE, loop tail related.
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const int64_t* pts = points.ptr<int64_t>();
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if( !is_float )
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{
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const int32_t* pts = points.ptr<int32_t>();
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int64_t firstval = 0;
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std::memcpy(&firstval, pts, sizeof(pts[0]) * 2);
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v_int32 minval, maxval;
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minval = maxval = v_reinterpret_as_s32(vx_setall_s64(*pts)); //min[0]=pt.x, min[1]=pt.y, min[2]=pt.x, min[3]=pt.y
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minval = maxval = v_reinterpret_as_s32(vx_setall_s64(firstval)); //min[0]=pt.x, min[1]=pt.y, min[2]=pt.x, min[3]=pt.y
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for( i = 1; i <= npoints - VTraits<v_int32>::vlanes()/2; i+= VTraits<v_int32>::vlanes()/2 )
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{
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v_int32 ptXY2 = v_reinterpret_as_s32(vx_load(pts + i));
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v_int32 ptXY2 = vx_load(pts + 2 * i);
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minval = v_min(ptXY2, minval);
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maxval = v_max(ptXY2, maxval);
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}
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@ -714,7 +715,7 @@ static Rect pointSetBoundingRect( const Mat& points )
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maxval = v_max(v_reinterpret_as_s32(v_expand_low(v_reinterpret_as_u32(maxval))), v_reinterpret_as_s32(v_expand_high(v_reinterpret_as_u32(maxval))));
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if( i <= npoints - VTraits<v_int32>::vlanes()/4 )
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{
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v_int32 ptXY = v_reinterpret_as_s32(v_expand_low(v_reinterpret_as_u32(vx_load_low(pts + i))));
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v_int32 ptXY = v_reinterpret_as_s32(v_expand_low(v_reinterpret_as_u32(vx_load_low(pts + 2 * i))));
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minval = v_min(ptXY, minval);
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maxval = v_max(ptXY, maxval);
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i += VTraits<v_int64>::vlanes()/2;
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@ -732,10 +733,10 @@ static Rect pointSetBoundingRect( const Mat& points )
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if( i < npoints )
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{
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v_int32x4 minval2, maxval2;
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minval2 = maxval2 = v_reinterpret_as_s32(v_expand_low(v_reinterpret_as_u32(v_load_low(pts + i))));
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minval2 = maxval2 = v_reinterpret_as_s32(v_expand_low(v_reinterpret_as_u32(v_load_low(pts + 2 * i))));
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for( i++; i < npoints; i++ )
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{
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v_int32x4 ptXY = v_reinterpret_as_s32(v_expand_low(v_reinterpret_as_u32(v_load_low(pts + i))));
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v_int32x4 ptXY = v_reinterpret_as_s32(v_expand_low(v_reinterpret_as_u32(v_load_low(pts + 2 * i))));
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minval2 = v_min(ptXY, minval2);
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maxval2 = v_max(ptXY, maxval2);
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}
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@ -748,11 +749,14 @@ static Rect pointSetBoundingRect( const Mat& points )
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}
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else
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{
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const float* pts = points.ptr<float>();
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int64_t firstval = 0;
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std::memcpy(&firstval, pts, sizeof(pts[0]) * 2);
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v_float32 minval, maxval;
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minval = maxval = v_reinterpret_as_f32(vx_setall_s64(*pts)); //min[0]=pt.x, min[1]=pt.y, min[2]=pt.x, min[3]=pt.y
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minval = maxval = v_reinterpret_as_f32(vx_setall_s64(firstval)); //min[0]=pt.x, min[1]=pt.y, min[2]=pt.x, min[3]=pt.y
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for( i = 1; i <= npoints - VTraits<v_float32>::vlanes()/2; i+= VTraits<v_float32>::vlanes()/2 )
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{
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v_float32 ptXY2 = v_reinterpret_as_f32(vx_load(pts + i));
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v_float32 ptXY2 = vx_load(pts + 2 * i);
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minval = v_min(ptXY2, minval);
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maxval = v_max(ptXY2, maxval);
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}
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@ -760,7 +764,7 @@ static Rect pointSetBoundingRect( const Mat& points )
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maxval = v_max(v_reinterpret_as_f32(v_expand_low(v_reinterpret_as_u32(maxval))), v_reinterpret_as_f32(v_expand_high(v_reinterpret_as_u32(maxval))));
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if( i <= npoints - VTraits<v_float32>::vlanes()/4 )
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{
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v_float32 ptXY = v_reinterpret_as_f32(v_expand_low(v_reinterpret_as_u32(vx_load_low(pts + i))));
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v_float32 ptXY = v_reinterpret_as_f32(v_expand_low(v_reinterpret_as_u32(vx_load_low(pts + 2 * i))));
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minval = v_min(ptXY, minval);
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maxval = v_max(ptXY, maxval);
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i += VTraits<v_float32>::vlanes()/4;
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@ -778,10 +782,10 @@ static Rect pointSetBoundingRect( const Mat& points )
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if( i < npoints )
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{
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v_float32x4 minval2, maxval2;
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minval2 = maxval2 = v_reinterpret_as_f32(v_expand_low(v_reinterpret_as_u32(v_load_low(pts + i))));
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minval2 = maxval2 = v_reinterpret_as_f32(v_expand_low(v_reinterpret_as_u32(v_load_low(pts + 2 * i))));
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for( i++; i < npoints; i++ )
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{
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v_float32x4 ptXY = v_reinterpret_as_f32(v_expand_low(v_reinterpret_as_u32(v_load_low(pts + i))));
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v_float32x4 ptXY = v_reinterpret_as_f32(v_expand_low(v_reinterpret_as_u32(v_load_low(pts + 2 * i))));
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minval2 = v_min(ptXY, minval2);
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maxval2 = v_max(ptXY, maxval2);
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}
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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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using namespace cv;
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using namespace std;
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namespace opencv_test { namespace {
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#define IMGPROC_BOUNDINGRECT_ERROR_DIFF 1
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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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template <typename T>
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cv::Rect calcBoundingRect(Mat pts)
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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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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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{
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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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}
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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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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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for (int i = 0; i < N; ++i)
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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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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((int)min_w, (int)min_h, (int)max_w-(int)min_w + 1, (int)max_h-(int)min_h + 1);
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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> bool CV_BoundingRectTest::checking_function_work(vector <Point_<T> >& src, int type)
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typedef ::testing::TestWithParam<int> Imgproc_BoundingRect_Types;
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TEST_P(Imgproc_BoundingRect_Types, accuracy)
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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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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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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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}
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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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TEST_P(Imgproc_BoundingRect_Types, alignment)
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{
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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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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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