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0.4.0

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age3d

Aging 3D models

Published6 May 2023

Direct dependencies0

Transitive dependenciesNot calculated

README

Version 0.4.0 documentation

age3d

A Python Library to age 3d models by simulating the effects of weather

Overview

Age3D is a Python Library that allows for eroding of 3d models. It uses the .stl file format and incorporates Open3D functionality, allowing users to simulate material removal.

Features:

Simplified Workflow for .stl $\rightarrow$ TriangleMesh $\rightarrow$ PointCloud & BitMask
Visualization of TriangleMesh & PointCloud
Calculate Metric of TriangleMesh
Erosion Method for Aging
- Customizable Number of Passes of Simulated Erosion Particles
- Customizable lifetime of Simulated Erosion Particles

Dependencies

age3d requires the open3d Python Library which is installed during libray installation.

Installation

The recommended way to install age3d is through pip.

pip install age3d

Usage

Import the library:

import age3d

Import a .stl model where file_path points to the location:

mesh = age3d.import_mesh(file_path)

Erosion

If the mesh is low-poly, run with number_of_subdivisions > 0:

mesh = age3d.mesh_subdivision(mesh, iterations = number_of_subdivisions)

Erode the mesh:

eroded_mesh = age3d.erode(mesh)

If Erosion with customized Passes and Max Particle Lifetime:

updated_vertices, eroded_mesh = age3d.erode(mesh, iterations = 2, erosion_lifetime = 10)

Point Cloud Creation

Make a PointCloud with Red Color Points:

point_cloud = age3d.make_point_cloud(mesh, color = [255, 0, 0])

Visualization

Visualize Eroded Mesh:

eroded_mesh.compute_vertex_normals()
age3d.visualize(mesh)

eroded_mesh.compute_vertex_normals()
age3d.visualize([mesh])

Visualize Mesh & Point Cloud:

eroded_mesh.compute_vertex_normals()
age3d.visualize([mesh, point_cloud])

Visualize Mesh & Point Cloud with Wireframe:

eroded_mesh.compute_vertex_normals()
age3d.visualize([mesh, point_cloud], show_wireframe = True)

Contributing

If you encounter an issue, please feel free to raise it by opening an issue. Likewise, if you have resolved an issue, you are welcome to open a pull request.

See more at CONTRIBUTING.md

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age3d-0.4.0.tar.gz

sdist · 1,155.51 KB · Python source

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a-chaudhary/age3d

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package_version:8d3ff3498ccd2c0eba5027330965d3a01bc5dffcf94653a6529341b5afc847a1

Package details

Ecosystem: PyPI
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Release published: 6 May 2023
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First observed: 20 Oct 2026
Last observed: 20 Oct, 21:21 UTC

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