Gprojector turn azimuth map to equirectangler

Texture = tvtk.Texture(input_connection=img.output_port, interpolate=1) Here's all that it takes: from mayavi import mlabДЇrom tvtk.api import tvtk # python wrappers for the C++ vtk ecosystem Constructing a sphere mesh ourselves could lead to artifacts in the mapping (more on this later).ДЇor the low-level vtk work I reworked the official example found here. So in this case we can use a low-level TexturedSphereSource in order to generate a sphere which the texture can be mapped onto. This is what I call 'spherically parametrized'. In other words, pixels along x directly correspond to longitude and pixels along y directly correspond to latitude.

Looking it up in wikipedia it turns out that this is also known as an equirectangular projection. Longitude grid spacing (not an equal area projection!) Their readme says that these images haveДЄ geographic (Plate CarrГ©e) projection, which is based on an equal latitude. I'm going to use a Blue Marble image from NASA for demonstration. It turns out that if you want to map a spherically parametrized image onto a sphere you have to get your hand a little dirty and use some bare vtk, but there's actually very little work to be done and the result looks great.

(In principle we can perform the task using matplotlib, but the performance and quality is much worse compared to mayavi, see the end of this answer.) The nice scenario: sphere on a sphere Plotting trajectories is easy using 3d once you have your planet, so I'm going to concentrate on texture mapping a planet to a sphere using mayavi.

Gprojector turn azimuth map to equirectangler