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Merge pull request #26022 from Kumataro:fix26016
Imgproc: use double to determine whether the corners points are within src #26022 close #26016 Related https://github.com/opencv/opencv_contrib/pull/3778 ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake
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@ -475,7 +475,14 @@ public:
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template<typename _Tp2> operator Rect_<_Tp2>() const;
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//! checks whether the rectangle contains the point
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bool contains(const Point_<_Tp>& pt) const;
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/*! @warning After OpenCV 4.11.0, when calling Rect.contains() with cv::Point2f / cv::Point2d point, point should not convert/round to int.
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* ```
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* Rect_<int> r(0,0,500,500); Point_<float> pt(250.0f, 499.9f);
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* r.contains(pt) returns false.(OpenCV 4.10.0 or before)
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* r.contains(pt) returns true. (OpenCV 4.11.0 or later)
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* ```
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*/
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template<typename _Tp2> inline bool contains(const Point_<_Tp2>& pt) const;
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_Tp x; //!< x coordinate of the top-left corner
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_Tp y; //!< y coordinate of the top-left corner
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@ -1861,12 +1868,29 @@ Rect_<_Tp>::operator Rect_<_Tp2>() const
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return Rect_<_Tp2>(saturate_cast<_Tp2>(x), saturate_cast<_Tp2>(y), saturate_cast<_Tp2>(width), saturate_cast<_Tp2>(height));
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}
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template<typename _Tp> inline
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bool Rect_<_Tp>::contains(const Point_<_Tp>& pt) const
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template<typename _Tp> template<typename _Tp2> inline
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bool Rect_<_Tp>::contains(const Point_<_Tp2>& pt) const
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{
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return x <= pt.x && pt.x < x + width && y <= pt.y && pt.y < y + height;
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}
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// See https://github.com/opencv/opencv/issues/26016
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template<> template<> inline
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bool Rect_<int>::contains(const Point_<double>& pt) const
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{
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// std::numeric_limits<int>::digits is 31.
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// std::numeric_limits<double>::digits is 53.
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// So conversion int->double does not lead to accuracy errors.
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const Rect_<double> _rect(static_cast<double>(x), static_cast<double>(y), static_cast<double>(width), static_cast<double>(height));
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return _rect.contains(pt);
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}
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template<> template<> inline
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bool Rect_<int>::contains(const Point_<float>& _pt) const
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{
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// std::numeric_limits<float>::digits is 24.
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// std::numeric_limits<double>::digits is 53.
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// So conversion float->double does not lead to accuracy errors.
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return contains(Point_<double>(static_cast<double>(_pt.x), static_cast<double>(_pt.y)));
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}
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template<typename _Tp> static inline
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Rect_<_Tp>& operator += ( Rect_<_Tp>& a, const Point_<_Tp>& b )
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@ -908,7 +908,22 @@ TYPED_TEST_P(Rect_Test, Overflows) {
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EXPECT_EQ(R(), R(20, 0, 10, 10) & R(0, num_lowest, 10, 10));
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EXPECT_EQ(R(), R(num_lowest, 0, 10, 10) & R(0, num_lowest, 10, 10));
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}
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REGISTER_TYPED_TEST_CASE_P(Rect_Test, Overflows);
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// See https://github.com/opencv/opencv/issues/26016
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// Rect_<int>.contains(Point_<float/double>) needs template specialization.
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// This is test for a point on the edge and its nearest points.
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template<typename T> T cv_nexttoward(T v, T v2);
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template<> int cv_nexttoward<int>(int v, int v2) { CV_UNUSED(v); return v2; }
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template<> float cv_nexttoward<float>(float v, float v2) { return std::nextafter(v,v2); }
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template<> double cv_nexttoward<double>(double v, double v2) { return std::nexttoward(v,v2); }
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TYPED_TEST_P(Rect_Test, OnTheEdge) {
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Rect_<int> rect(0,0,500,500);
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TypeParam h = static_cast<TypeParam>(rect.height);
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ASSERT_TRUE ( rect.contains( Point_<TypeParam>(250, cv_nexttoward(h, h - 1))));
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ASSERT_FALSE( rect.contains( Point_<TypeParam>(250, cv_nexttoward(h, h ))));
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ASSERT_FALSE( rect.contains( Point_<TypeParam>(250, cv_nexttoward(h, h + 1))));
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}
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REGISTER_TYPED_TEST_CASE_P(Rect_Test, Overflows, OnTheEdge);
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typedef ::testing::Types<int, float, double> RectTypes;
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INSTANTIATE_TYPED_TEST_CASE_P(Negative_Test, Rect_Test, RectTypes);
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@ -96,7 +96,9 @@ struct RoiPredicate
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bool operator()( const KeyPoint& keyPt ) const
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{
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return !r.contains( keyPt.pt );
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// workaround for https://github.com/opencv/opencv/issues/26016
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// To keep its behaviour, keyPt.pt casts to Point_<int>.
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return !r.contains( Point_<int>(keyPt.pt) );
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}
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Rect r;
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@ -65,4 +65,31 @@ TEST(Imgproc_CornerSubPix, out_of_image_corners)
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ASSERT_TRUE(Rect(0, 0, image.cols, image.rows).contains(corners.front()));
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}
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// See https://github.com/opencv/opencv/issues/26016
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TEST(Imgproc_CornerSubPix, corners_on_the_edge)
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{
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cv::Mat image(500, 500, CV_8UC1);
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cv::Size win(1, 1);
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cv::Size zeroZone(-1, -1);
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cv::TermCriteria criteria;
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std::vector<cv::Point2f> cornersOK1 = { cv::Point2f(250, std::nextafter(499.5f, 499.5f - 1.0f)) };
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EXPECT_NO_THROW( cv::cornerSubPix(image, cornersOK1, win, zeroZone, criteria) ) << cornersOK1;
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std::vector<cv::Point2f> cornersOK2 = { cv::Point2f(250, 499.5f) };
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EXPECT_NO_THROW( cv::cornerSubPix(image, cornersOK2, win, zeroZone, criteria) ) << cornersOK2;
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std::vector<cv::Point2f> cornersOK3 = { cv::Point2f(250, std::nextafter(499.5f, 499.5f + 1.0f)) };
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EXPECT_NO_THROW( cv::cornerSubPix(image, cornersOK3, win, zeroZone, criteria) ) << cornersOK3;
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std::vector<cv::Point2f> cornersOK4 = { cv::Point2f(250, std::nextafter(500.0f, 500.0f - 1.0f)) };
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EXPECT_NO_THROW( cv::cornerSubPix(image, cornersOK4, win, zeroZone, criteria) ) << cornersOK4;
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std::vector<cv::Point2f> cornersNG1 = { cv::Point2f(250, 500.0f) };
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EXPECT_ANY_THROW( cv::cornerSubPix(image, cornersNG1, win, zeroZone, criteria) ) << cornersNG1;
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std::vector<cv::Point2f> cornersNG2 = { cv::Point2f(250, std::nextafter(500.0f, 500.0f + 1.0f)) };
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EXPECT_ANY_THROW( cv::cornerSubPix(image, cornersNG2, win, zeroZone, criteria) ) << cornersNG2;
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}
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}} // namespace
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@ -67,9 +67,11 @@ TEST(SurfFeaturesFinder, CanFindInROIs)
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int tl_rect_count = 0, br_rect_count = 0, bad_count = 0;
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for (const auto &keypoint : roi_features.keypoints)
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{
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if (rois[0].contains(keypoint.pt))
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// Workaround for https://github.com/opencv/opencv/issues/26016
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// To keep its behaviour, keypoint.pt casts to Point_<int>.
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if (rois[0].contains(Point_<int>(keypoint.pt)))
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tl_rect_count++;
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else if (rois[1].contains(keypoint.pt))
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else if (rois[1].contains(Point_<int>(keypoint.pt)))
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br_rect_count++;
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else
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bad_count++;
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