numpyeigen
data-science-ipython-notebooks
| numpyeigen | data-science-ipython-notebooks | |
|---|---|---|
| 1 | 1 | |
| 127 | 26,490 | |
| - | - | |
| 6.8 | 0.0 | |
| 8 months ago | about 2 months ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
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numpyeigen
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Show HN: Point Cloud Utils – A Python library for 3D point clouds and meshes
This is a utility library I slowly built up during my PhD and has become my swiss army knife for processing 3D data. It's super easy to install (only depends on NumPy and SciPy).
The goal of the library to have an extremely simple API for geometry processing which uses NumPy arrays as a core data structure (so it can be dropped into whatever numerical codebase you're working with).
Most of the library is written in C++ using a custom binding framework (https://github.com/fwilliams/numpyeigen) that I wrote which avoids copies when converting NumPy arrays to Eigen Matrix types.
Happy to answer any questions you might have about it and I hope Point Cloud Utils is useful to you!
data-science-ipython-notebooks
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Beginner in Python for Data Science
data science ipython notebooks
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