vendor: OpenCV 5.0.0 snapshot at 755e50675d97db9b7d449d8bd6b09888646f6c6e
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Training data generation using Icosphere {#tutorial_data_generation}
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=============
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Goal
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----
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In this tutorial you will learn how to
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- Conduct a point cloud of camera view on sphere.
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- Generate training images using 3D model.
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Code
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----
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@include cnn_3dobj/samples/sphereview_data.cpp
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Explanation
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-----------
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Here is the general structure of the program:
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- Create a window.
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@code{.cpp}
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viz::Viz3d myWindow("Coordinate Frame");
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@endcode
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- Set window size as 64*64, we use this scale as default.
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@code{.cpp}
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myWindow.setWindowSize(Size(64,64));
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@endcode
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- Add coordinate axes.
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@code{.cpp}
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myWindow.showWidget("Coordinate Widget", viz::WCoordinateSystem());
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myWindow.setBackgroundColor(viz::Color::gray());
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myWindow.spin();
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@endcode
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- Create a Mesh widget, loading .ply models.
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@code{.cpp}
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viz::Mesh objmesh = viz::Mesh::load(plymodel);
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@endcode
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- Get the center of the generated mesh widget, cause some .ply files.
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@code{.cpp}
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Point3d cam_focal_point = ViewSphere.getCenter(objmesh.cloud);
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@endcode
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- Get the pose of the camera using makeCameraPoses.
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@code{.cpp}
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Affine3f cam_pose = viz::makeCameraPose(campos.at(pose)*radius+cam_focal_point, cam_focal_point, cam_y_dir*radius+cam_focal_point);
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@endcode
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- Get the transformation matrix from camera coordinate system to global.
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@code{.cpp}
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Affine3f transform = viz::makeTransformToGlobal(Vec3f(1.0f,0.0f,0.0f), Vec3f(0.0f,1.0f,0.0f), Vec3f(0.0f,0.0f,1.0f), campos.at(pose));
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viz::WMesh mesh_widget(objmesh);
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@endcode
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- Save screen shot as images.
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@code{.cpp}
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myWindow.saveScreenshot(filename);
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@endcode
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- Write images into binary files for further using in CNN training.
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@code{.cpp}
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ViewSphere.writeBinaryfile(filename, binaryPath, headerPath,(int)campos.size()*num_class, label_class, (int)(campos.at(pose).x*100), (int)(campos.at(pose).y*100), (int)(campos.at(pose).z*100), rgb_use);
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@endcode
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Results
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-------
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Here is collection images created by this demo using 4 model.
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