Name | molesq JSON |
Version |
0.4.0
JSON |
| download |
home_page | https://github.com/clbarnes/molesq |
Summary | Implementation of moving least squares for ND point and image deformation |
upload_time | 2021-09-09 15:33:08 |
maintainer | |
docs_url | None |
author | Chris L. Barnes |
requires_python | >=3.7, <4.0 |
license | |
keywords |
|
VCS |
|
bugtrack_url |
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requirements |
No requirements were recorded.
|
Travis-CI |
No Travis.
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coveralls test coverage |
No coveralls.
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# MoLeSq
Pronounced like "mollusc".
A python implementation of the Moving Least Squares algorithm
for transforming sets of points from one space to another,
as published in [Schaefer et al. (2006)][1].
Repackaged from [implementation by Casey Schneider-Mizell][2].
[1]: https://doi.org/10.1145/1179352.1141920
[2]: https://github.com/ceesem/catalysis/blob/master/catalysis/transform.py
## Usage
Control points and points of interest are given as numpy arrays.
```python
from molesq import Transformer
tran = Transformer(my_control_points, my_deformed_control_points)
deformed = tran.transform(my_points_of_interest)
undeformed = tran.transform(deformed, reverse=True)
```
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"description": "# MoLeSq\n\nPronounced like \"mollusc\".\n\nA python implementation of the Moving Least Squares algorithm\nfor transforming sets of points from one space to another,\nas published in [Schaefer et al. (2006)][1].\n\nRepackaged from [implementation by Casey Schneider-Mizell][2].\n\n[1]: https://doi.org/10.1145/1179352.1141920\n[2]: https://github.com/ceesem/catalysis/blob/master/catalysis/transform.py\n\n## Usage\n\nControl points and points of interest are given as numpy arrays.\n\n```python\nfrom molesq import Transformer\n\ntran = Transformer(my_control_points, my_deformed_control_points)\ndeformed = tran.transform(my_points_of_interest)\n\nundeformed = tran.transform(deformed, reverse=True)\n\n```\n\n\n",
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