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fast-simplification-0.1.0
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مشاهده بیشترتوضیحات
Wrapper around the Fast-Quadric-Mesh-Simplification library.
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | fast-simplification-0.1.0 |
| نام | fast-simplification |
| نسخه کتابخانه | 0.1.0 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Alex Kaszynski |
| ایمیل نویسنده | akascap@gmail.com |
| آدرس صفحه اصلی | https://github.com/pyvista/fast-simplification |
| آدرس اینترنتی | https://pypi.org/project/fast-simplification/ |
| مجوز | MIT |
Python Fast-Quadric-Mesh-Simplification Wrapper
===============================================
This is a python wrapping of the `Fast-Quadric-Mesh-Simplification Library
<https://github.com/sp4cerat/Fast-Quadric-Mesh-Simplification/>`_. Having
arrived at the same problem as the original author, but needing a Python
library, this project seeks to extend the work of the original library while
adding integration to Python and the `PyVista
<https://github.com/pyvista/pyvista>`_ project.
.. image:: https://github.com/pyvista/fast-simplification/raw/main/doc/images/simplify_demo.png
Basic Usage
-----------
The basic interface is quite straightforward and can work directly
with arrays of points and triangles:
.. code:: python
points = [[ 0.5, -0.5, 0.0],
[ 0.0, -0.5, 0.0],
[-0.5, -0.5, 0.0],
[ 0.5, 0.0, 0.0],
[ 0.0, 0.0, 0.0],
[-0.5, 0.0, 0.0],
[ 0.5, 0.5, 0.0],
[ 0.0, 0.5, 0.0],
[-0.5, 0.5, 0.0]]
faces = [[0, 1, 3],
[4, 3, 1],
[1, 2, 4],
[5, 4, 2],
[3, 4, 6],
[7, 6, 4],
[4, 5, 7],
[8, 7, 5]]
points_out, faces_out = fast_simplification.simplify(points, faces, 0.5)
Advanced Usage
--------------
This library supports direct integration with VTK through PyVista to
provide a simplistic interface to the library. As this library
provides a 4-5x improvement to the VTK decimation algorithms.
.. code:: python
>>> from pyvista import examples
>>> mesh = examples.download_nefertiti()
>>> out = fast_simplification.simplify_mesh(mesh, target_reduction=0.9)
Compare with built-in VTK/PyVista methods:
>>> fas_sim = fast_simplification.simplify_mesh(mesh, target_reduction=0.9)
>>> dec_std = mesh.decimate(0.9) # vtkQuadricDecimation
>>> dec_pro = mesh.decimate_pro(0.9) # vtkDecimatePro
>>> pv.set_plot_theme('document')
>>> pl = pv.Plotter(shape=(2, 2), window_size=(1000, 1000))
>>> pl.add_text('Original', 'upper_right', color='w')
>>> pl.add_mesh(mesh, show_edges=True)
>>> pl.camera_position = cpos
>>> pl.subplot(0, 1)
>>> pl.add_text(
... 'Fast-Quadric-Mesh-Simplification\n~2.2 seconds', 'upper_right', color='w'
... )
>>> pl.add_mesh(fas_sim, show_edges=True)
>>> pl.camera_position = cpos
>>> pl.subplot(1, 0)
>>> pl.add_mesh(dec_std, show_edges=True)
>>> pl.add_text(
... 'vtkQuadricDecimation\n~9.5 seconds', 'upper_right', color='w'
... )
>>> pl.camera_position = cpos
>>> pl.subplot(1, 1)
>>> pl.add_mesh(dec_pro, show_edges=True)
>>> pl.add_text(
... 'vtkDecimatePro\n11.4~ seconds', 'upper_right', color='w'
... )
>>> pl.camera_position = cpos
>>> pl.show()
Comparison to other libraries
-----------------------------
The `pyfqmr <https://github.com/Kramer84/pyfqmr-Fast-Quadric-Mesh-Reduction>`_
library wraps the same header file as this library and has similar capabilities.
In this library, the decision was made to write the Cython layer on top of an
additional C++ layer rather than directly interfacing with wrapper from Cython.
This results in a mild performance improvement.
Reusing the example above:
.. code:: python
Set up a timing function.
>>> import pyfqmr
>>> vertices = mesh.points
>>> faces = mesh.faces.reshape(-1, 4)[:, 1:]
>>> def time_pyfqmr():
... mesh_simplifier = pyfqmr.Simplify()
... mesh_simplifier.setMesh(vertices, faces)
... mesh_simplifier.simplify_mesh(
... target_count=out.n_faces, aggressiveness=7, verbose=0
... )
... vertices_out, faces_out, normals_out = mesh_simplifier.getMesh()
... return vertices_out, faces_out, normals_out
Now, time it and compare with the non-VTK API of this library:
.. code:: python
>>> timeit time_pyfqmr()
2.75 s ± 5.35 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)
>>> timeit vout, fout = fast_simplification.simplify(vertices, faces, 0.9)
2.05 s ± 3.18 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)
Additionally, the ``fast-simplification`` library has direct plugins
to the ``pyvista`` library, making it easy to read and write meshes:
.. code:: python
>>> import pyvista
>>> import fast_simplification
>>> mesh = pyvista.read('my_mesh.stl')
>>> simple = fast_simplification.simplify_mesh(mesh)
>>> simple.save('my_simple_mesh.stl')
Since both libraries are based on the same core C++ code, feel free to
use whichever gives you the best performance and interoperability.
نحوه نصب
نصب پکیج whl fast-simplification-0.1.0:
pip install fast-simplification-0.1.0.whl
نصب پکیج tar.gz fast-simplification-0.1.0:
pip install fast-simplification-0.1.0.tar.gz