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hello,
I would like to use the determine_local_basis function in curvature.py. but i'm confused about the inputs and the outputs format.
For example how should I reshape my input "normal" . How to define the proj_matrix and which tolerance should i use ?
I understand that this function is used in the function fit_curvature but i dont understand how to initiate my imputs arguments
thanks for your help,
The text was updated successfully, but these errors were encountered:
maximedieudonne
changed the title
[DOC] doc string determine_local_basis are missing
[DOC] doc string determine_local_basis is missing
Dec 6, 2021
The function is confusing indeed: I propose to add some comments to clarify. Briefly:
the normal vector should be 3 x1
the proj_matrix is obtained through the curvature_fit function. There is no tolerance but the if in determine_local_basis_function is there to avoid a projection to a null vector if the normal equal [[1],[0],[0]]
hello,
I would like to use the determine_local_basis function in curvature.py. but i'm confused about the inputs and the outputs format.
For example how should I reshape my input "normal" . How to define the proj_matrix and which tolerance should i use ?
I understand that this function is used in the function fit_curvature but i dont understand how to initiate my imputs arguments
thanks for your help,
The text was updated successfully, but these errors were encountered: