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transform composition in tf with python

asked 2016-08-23 05:52:13 -0600

Anis
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Hello

In C++, it is possible to have transform composition to determine a relative transform between two transforms like follow:

tf::Transform relative_transform = init_transform.inverse() * current_transform;
distance_moved= relative_transform.getOrigin().length();

However, I could not find similar alternative in Python.

Is there any means in Python to do a similar relative transformation like the C++ code?

Thank you Anis

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answered 2016-08-23 06:55:55 -0600

Airuno2L

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The python TF library uses the transformations.py module which is really nice. If you haven't used it, the main idea is it uses 4x4 matrices to represent transformations and there are tons of functions for linear algebra and converting to different representations. It's really just a wrapper around numpy, but it does a good job.

To use it, I do from tf import transformations as t

The whole module is just that one file I linked to, the documentation/examples in the comments are really good.

It has t.inverse_matrix()instead of .inverse(). Also t.translation_from_matrix() will do what .getOrigin() does. And for .length() you would use t.vector_norm()

You can probably figure out the rest, if not I can help in the comments.

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Thank you very much, it helps a lot. I will try these hints!

Anis ( 2016-08-25 05:10:16 -0600 )edit

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Asked: 2016-08-23 05:52:13 -0600

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Last updated: Aug 23 '16

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