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