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Mesh2Vec | ||
======== | ||
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Installation | ||
------------- | ||
Quickstart | ||
----------- | ||
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<h1 align="center">mesh2vec</h1> | ||
<p align="center">Turn CAE Mesh Data Into Vectors</p> | ||
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<p align="center"> | ||
<a href="https://github.com/renumics/mesh2vec"><img src="https://img.shields.io/github/license/renumics/mesh2vec" height="20"/></a> | ||
<a href="https://github.com/renumics/mesh2vec"><img src="https://img.shields.io/pypi/pyversions/renumics-mesh2vec" height="20"/></a> | ||
<a href="https://github.com/renumics/mesh2vec"><img src="https://img.shields.io/pypi/wheel/renumics-mesh2vec" height="20"/></a> | ||
</p> | ||
<h3 align="center"> | ||
<a href="https://renumics.github.io/mesh2vec/"><b>Latest Documentation</b></a> | ||
</h3> | ||
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## 🚀 Introduction | ||
Mesh2vec is a tool that facilitates the import of Computer-Aided Engineering (CAE) mesh data from [LS-DYNA](https://www.ansys.com/de-de/products/structures/ansys-ls-dyna) . | ||
It utilizes various metrics of elements and their surrounding neighborhood to aggregate feature vectors for each element. | ||
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## ⏱️ Quickstart | ||
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### Installation | ||
1. Create and activate a [virtual environment](https://packaging.python.org/en/latest/guides/installing-using-pip-and-virtual-environments/). | ||
2. Use the following command to install mesh2vec into your environment: | ||
``pip install mesh2vec`` | ||
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Documentation | ||
--------------- | ||
[Documentation](https://readthedocs.org/...) | ||
```bash | ||
pip install mesh2vec | ||
``` | ||
3. Please make sure you have an environment variable ANSA_EXECUTABLE set pointing to your ANSA executable to use ANSA depended features like shell and feature import. | ||
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### Load Mesh | ||
```python | ||
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from pathlib import Path | ||
from mesh2vec.mesh2vec_cae import Mesh2VecCae | ||
m2v = Mesh2VecCae.from_ansa_shell(4, | ||
Path("data/hat/Hatprofile.k"), | ||
json_mesh_file=Path("data/hat/cached_hat_key.json")) | ||
``` | ||
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### Add element features | ||
```python | ||
m2v.add_features_from_ansa( | ||
["aspect", "warpage"], | ||
Path("data/hat/Hatprofile.k"), | ||
json_mesh_file=Path("data/hat/cached_hat_key.json")) | ||
``` | ||
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### Aggregate | ||
```python | ||
import numpy as np | ||
m2v.aggregate("aspect", [0,2,3], np.nanmean) | ||
``` | ||
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### Extract Feature Vectors | ||
```python | ||
m2v.to_dataframe() | ||
``` | ||
![data frame with feature vectors](docs/source/_static/m2v.to_df.png) | ||
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### Optional: Visualize a single aggregated feature on mesh | ||
```python | ||
m2v.get_visualization_plotly("aspect-nanmean-2") | ||
``` | ||
![3d mesh plot of agggredated](docs/source/_static/hat_aspect_3_plot.png) | ||
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""" | ||
Quick Start Example | ||
==================== | ||
""" | ||
# pylint: disable=pointless-statement | ||
from pathlib import Path | ||
import numpy as np | ||
from mesh2vec.mesh2vec_cae import Mesh2VecCae | ||
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# %% | ||
# Load Shell from ANSA | ||
# ----------------------------------------------------- | ||
m2v = Mesh2VecCae.from_ansa_shell( | ||
4, | ||
Path("../../data/hat/Hatprofile.k"), | ||
json_mesh_file=Path("../../data/hat/cached_hat_key.json"), | ||
) | ||
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# %% | ||
# Add element features | ||
# ------------------------ | ||
m2v.add_features_from_ansa( | ||
["aspect", "warpage"], | ||
Path("../../data/hat/Hatprofile.k"), | ||
json_mesh_file=Path("../../data/hat/cached_hat_key.json"), | ||
) | ||
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# %% | ||
# Aggregate | ||
# --------------------------- | ||
m2v.aggregate("aspect", [0, 2, 3], np.nanmean) | ||
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# %% | ||
# Extract Feature Vector | ||
# ----------------------- | ||
m2v.to_dataframe() | ||
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# %% | ||
# Visualize a single feature | ||
# --------------------------- | ||
m2v.get_visualization_plotly("aspect-nanmean-2") |
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