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Merge pull request #2616 from SpecLad:merge-2.4
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534f9623f2
@ -1608,7 +1608,7 @@ void CV_StereoCalibrationTest::run( int )
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Mat _M1, _M2, _D1, _D2;
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vector<Mat> _R1, _R2, _T1, _T2;
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calibrateCamera( objpt, imgpt1, imgsize, _M1, _D1, _R1, _T1, 0 );
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calibrateCamera( objpt, imgpt2, imgsize, _M2, _D2, _R2, _T1, 0 );
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calibrateCamera( objpt, imgpt2, imgsize, _M2, _D2, _R2, _T2, 0 );
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undistortPoints( _imgpt1, _imgpt1, _M1, _D1, Mat(), _M1 );
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undistortPoints( _imgpt2, _imgpt2, _M2, _D2, Mat(), _M2 );
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@ -1361,7 +1361,6 @@ TEST_P(ElemWiseTest, accuracy)
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op->op(src, dst, mask);
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double maxErr = op->getMaxErr(depth);
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vector<int> pos;
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ASSERT_PRED_FORMAT2(cvtest::MatComparator(maxErr, op->context), dst0, dst) << "\nsrc[0] ~ " <<
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cvtest::MatInfo(!src.empty() ? src[0] : Mat()) << "\ntestCase #" << testIdx << "\n";
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}
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@ -215,8 +215,6 @@ int CV_KDTreeTest_CPP::findNeighbors( Mat& points, Mat& neighbors )
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const int emax = 20;
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Mat neighbors2( neighbors.size(), CV_32SC1 );
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int j;
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vector<float> min(points.cols, static_cast<float>(minValue));
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vector<float> max(points.cols, static_cast<float>(maxValue));
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for( int pi = 0; pi < points.rows; pi++ )
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{
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// 1st way
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@ -3525,7 +3525,6 @@ void HOGDescriptor::groupRectangles(std::vector<cv::Rect>& rectList, std::vector
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std::vector<cv::Rect_<double> > rrects(nclasses);
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std::vector<int> numInClass(nclasses, 0);
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std::vector<double> foundWeights(nclasses, DBL_MIN);
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std::vector<double> totalFactorsPerClass(nclasses, 1);
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int i, j, nlabels = (int)labels.size();
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for( i = 0; i < nlabels; i++ )
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@ -898,6 +898,10 @@ This 3D Widget defines a point cloud. ::
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WCloud(InputArray cloud, InputArray colors);
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//! All points in cloud have the same color
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WCloud(InputArray cloud, const Color &color = Color::white());
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//! Each point in cloud is mapped to a color in colors, normals are used for shading
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WCloud(InputArray cloud, InputArray colors, InputArray normals);
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//! All points in cloud have the same color, normals are used for shading
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WCloud(InputArray cloud, const Color &color, InputArray normals);
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};
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viz::WCloud::WCloud
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@ -918,6 +922,22 @@ Constructs a WCloud.
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Points in the cloud belong to mask when they are set to (NaN, NaN, NaN).
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.. ocv:function:: WCloud(InputArray cloud, InputArray colors, InputArray normals)
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:param cloud: Set of points which can be of type: ``CV_32FC3``, ``CV_32FC4``, ``CV_64FC3``, ``CV_64FC4``.
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:param colors: Set of colors. It has to be of the same size with cloud.
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:param normals: Normals for each point in cloud. Size and type should match with the cloud parameter.
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Points in the cloud belong to mask when they are set to (NaN, NaN, NaN).
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.. ocv:function:: WCloud(InputArray cloud, const Color &color, InputArray normals)
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:param cloud: Set of points which can be of type: ``CV_32FC3``, ``CV_32FC4``, ``CV_64FC3``, ``CV_64FC4``.
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:param color: A single :ocv:class:`Color` for the whole cloud.
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:param normals: Normals for each point in cloud. Size and type should match with the cloud parameter.
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Points in the cloud belong to mask when they are set to (NaN, NaN, NaN).
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.. note:: In case there are four channels in the cloud, fourth channel is ignored.
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viz::WCloudCollection
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@ -320,8 +320,15 @@ namespace cv
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public:
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//! Each point in cloud is mapped to a color in colors
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WCloud(InputArray cloud, InputArray colors);
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//! All points in cloud have the same color
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WCloud(InputArray cloud, const Color &color = Color::white());
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//! Each point in cloud is mapped to a color in colors, normals are used for shading
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WCloud(InputArray cloud, InputArray colors, InputArray normals);
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//! All points in cloud have the same color, normals are used for shading
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WCloud(InputArray cloud, const Color &color, InputArray normals);
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};
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class CV_EXPORTS WPaintedCloud: public Widget3D
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@ -49,11 +49,29 @@
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/// Point Cloud Widget implementation
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cv::viz::WCloud::WCloud(InputArray cloud, InputArray colors)
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{
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WCloud cloud_widget(cloud, colors, cv::noArray());
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*this = cloud_widget;
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}
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cv::viz::WCloud::WCloud(InputArray cloud, const Color &color)
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{
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WCloud cloud_widget(cloud, Mat(cloud.size(), CV_8UC3, color));
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*this = cloud_widget;
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}
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cv::viz::WCloud::WCloud(InputArray cloud, const Color &color, InputArray normals)
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{
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WCloud cloud_widget(cloud, Mat(cloud.size(), CV_8UC3, color), normals);
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*this = cloud_widget;
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}
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cv::viz::WCloud::WCloud(cv::InputArray cloud, cv::InputArray colors, cv::InputArray normals)
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{
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CV_Assert(!cloud.empty() && !colors.empty());
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vtkSmartPointer<vtkCloudMatSource> cloud_source = vtkSmartPointer<vtkCloudMatSource>::New();
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cloud_source->SetColorCloud(cloud, colors);
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cloud_source->SetColorCloudNormals(cloud, colors, normals);
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cloud_source->Update();
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vtkSmartPointer<vtkPolyDataMapper> mapper = vtkSmartPointer<vtkPolyDataMapper>::New();
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@ -69,12 +87,7 @@ cv::viz::WCloud::WCloud(InputArray cloud, InputArray colors)
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actor->SetMapper(mapper);
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WidgetAccessor::setProp(*this, actor);
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}
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cv::viz::WCloud::WCloud(InputArray cloud, const Color &color)
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{
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WCloud cloud_widget(cloud, Mat(cloud.size(), CV_8UC3, color));
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*this = cloud_widget;
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}
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@ -248,6 +248,22 @@ TEST(Viz, show_sampled_normals)
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viz.spin();
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}
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TEST(Viz, show_cloud_shaded_by_normals)
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{
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Mesh mesh = Mesh::load(get_dragon_ply_file_path());
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computeNormals(mesh, mesh.normals);
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Affine3d pose = Affine3d().rotate(Vec3d(0, 0.8, 0));
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WCloud cloud(mesh.cloud, Color::white(), mesh.normals);
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cloud.setRenderingProperty(SHADING, SHADING_GOURAUD);
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Viz3d viz("show_cloud_shaded_by_normals");
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viz.showWidget("cloud", cloud, pose);
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viz.showWidget("text2d", WText("Cloud shaded by normals", Point(20, 20), 20, Color::green()));
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viz.spin();
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}
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TEST(Viz, show_trajectories)
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{
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std::vector<Affine3d> path = generate_test_trajectory<double>(), sub0, sub1, sub2, sub3, sub4, sub5;
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