I am trying to resample my dataset in a programable filter using the vtkProbeFilter as a part of a much more complex final objective. However I couldn’t find any example to use it within ParaView and the vtkProbeFilter examples aren’t available anymore.
Would it be possible to have an example of a vtkProbeFilter where the point data of a dataset (unstructured, multiblock, composite, etc…) is proved in a given location (i.e. vtkPoints()) and output in ParaView?
My objective is to create a filter which permits to compute the boundary layer height over a wing and set the value in the wing surface. For this I need to trace normal lines from the surface, probe the velocity (the step where I am stuck), find its value and output the height in the wing’s surface . I believe that ResampleWithDataSet would add much more elements in my pipeline and I wanted to keep it as clean as possible.
I went over it and it seems to be useful for combining multiple filters. However I think that with the existing filters I won’t achieve my objective in the final format that I would like to have and my goal is to don’t use the GUI at all. This is why I was relying on the programmable filter and using the vtk library to perform the required operations.
It is better to create a programmable filter focused on the “feature gap” and do only the processing that ParaView cannot do, and then to combine them all in a custom filter.
I have been trying different filter combinations and I cannot make it work the way I would like to.
Given 2 datasets, A) one with the surface data and normal vectors and B) another with the flowfield, which would be the best approach to generate X normal lines (one per surface point) and use the ResampleWithDataSet to interpolate the point data over them?
This can be easily done with a for loop creating interpolate over line filters but this can flood the pipeline with thousands of operations (It would be ideal if it was possible to interpolate data on Glyphs )
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