From 3c506497c206eaeddef49e3697b70ff66eddd10e Mon Sep 17 00:00:00 2001 From: Teseo Schneider Date: Tue, 21 May 2019 12:27:21 -0400 Subject: [PATCH 01/34] initial commit --- doc/index.md | 4 ++++ environment.yml | 7 +++++++ mkdocs.yml | 52 +++++++++++++++++++++++++++++++++++++++++++++++++ 3 files changed, 63 insertions(+) create mode 100644 doc/index.md create mode 100644 environment.yml create mode 100644 mkdocs.yml diff --git a/doc/index.md b/doc/index.md new file mode 100644 index 0000000..7c4810c --- /dev/null +++ b/doc/index.md @@ -0,0 +1,4 @@ +Backbox simulations +======= + +Blackbox simulations in python \ No newline at end of file diff --git a/environment.yml b/environment.yml new file mode 100644 index 0000000..f9565a8 --- /dev/null +++ b/environment.yml @@ -0,0 +1,7 @@ +channels: + - conda-forge +dependencies: + - numpy + - scipy + - pythreejs + - igl \ No newline at end of file diff --git a/mkdocs.yml b/mkdocs.yml new file mode 100644 index 0000000..355924d --- /dev/null +++ b/mkdocs.yml @@ -0,0 +1,52 @@ +site_name: blackbox-course +site_url: 'https://geometryprocessing.github.io/blackbox-course/' +repo_name: 'geometryprocessing/blackbox-course' +repo_url: 'https://github.com/geometryprocessing/blackbox-course' +edit_uri: '../https://github.com/geometryprocessing/blackbox-course/edit/docs/docs/' +site_description: "Blackbox simulations in python" +# strict: true +docs_dir: 'doc' +remote_branch: 'master' +theme: + name: material + favicon: 'favicon.ico' + logo: + icon: ' ' + palette: + primary: 'light black' + accent: 'black' +extra: + social: + - type: 'github' + link: 'https://geometryprocessing.github.io/blackbox-course/' +markdown_extensions: + - codehilite + - footnotes + - admonition + - toc: + permalink: true + - markdown.extensions.smarty + - markdown.extensions.toc: + permalink: true + - pymdownx.arithmatex + - pymdownx.betterem: + smart_enable: all + - pymdownx.caret + - pymdownx.critic + - pymdownx.details + - pymdownx.inlinehilite + - pymdownx.magiclink: + repo_url_shorthand: true + repo_url_shortener: true + user: polyfem + repo: polyfem + - pymdownx.mark + - pymdownx.smartsymbols + - pymdownx.superfences + - pymdownx.tasklist: + custom_checkbox: true + - pymdownx.tilde +extra_javascript: + - 'https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.0/MathJax.js?config=TeX-MML-AM_CHTML' +nav: + - Home: index.md From 737561e343cd4778b4e785107f4d2a9c35699f23 Mon Sep 17 00:00:00 2001 From: Teseo Schneider Date: Wed, 22 May 2019 16:02:54 -0400 Subject: [PATCH 02/34] added description --- doc/index.md | 51 +++++++++++++++++++++++++++++++++++++++++++++++++-- 1 file changed, 49 insertions(+), 2 deletions(-) diff --git a/doc/index.md b/doc/index.md index 7c4810c..44c990d 100644 --- a/doc/index.md +++ b/doc/index.md @@ -1,4 +1,51 @@ -Backbox simulations +Geometry Computing with Python ======= -Blackbox simulations in python \ No newline at end of file +This course is based on efficient C++ libraries binded to python. +The main philosophy is to use `NumPy` arrays as a common interface, making them highly composable with each-other as well as existing scientific computing packages. + +All libraries are part of **conda forge**. We advise to add `conda forge` to your conda channels: +```bash +conda config --add channels conda-forge +``` + +# Introduction +Many disciplines of computer science have access to high level libraries allowing researchers and engineers to quickly produce prototypes. For instance, in machine learning, one can construct complex, state-of-the-art models which run on the GPU in a few lines of Python. + +In the field of geometric computing, however such high-level libraries are sparse. As a result, writing prototypes in geometry is time consuming and difficult even for advanced users. + +In this course, we present a set of easy-to-use Python packages for applications in geometric computing. We have designed these libraries to have a shallow learning curve, while also enabling programmers to easily accomplish a wide variety of complex tasks. Furthermore, the libraries we present share NumPy arrays as a common interface, making them highly composable with each-other as well as existing scientific computing packages. Finally, our libraries are blazing fast, doing most of the heavy computations in C++ with a minimal constant-overhead interface to Python. + +In the course, we will present a set of real-world examples from geometry processing, physical simulation, and geometric deep learning. Each example is prototypical of a common task in research or industry and is implemented in a few lines of code. By the end of the course, attendees will have exposure to a swiss-army-knife of simple, composable, and high-performance tools for geometric computing. + +# Libigl + +!!! warning + Windows is currently unsupported, we expect to have it soon + +**Libigl** is a simple python and C++ geometry processing library. We have a wide functionality including construction of sparse discrete differential geometry operators and finite-elements matrices such as the cotangent Laplacian and diagonalized mass matrix, and simple facet and edge-based topology data structures. + +It can be easily install trough conda: +```bash +conda install igl +``` + +[Jupiter Notebook](https://github.com/geometryprocessing/libigl-python-bindings/blob/master/tutorial/tutorials.ipynb) + +[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/geometryprocessing/libigl-python-bindings/master?filepath=tutorial%2Ftutorials.ipynb) + + +# Polyfempy + +**Polyfem** is a polyvalent easy to use C++ finite element library. + + +It can be easily install trough conda: +```bash +conda install polyfempy +``` + + +[Jupiter Notebook](https://github.com/polyfem/polyfem.github.io/blob/docs/docs/python_examples.ipynb) + +[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/polyfem/polyfem.github.io.git/docs?filepath=docs%2Fpython_examples.ipynb). \ No newline at end of file From 771603b143fb5ff260989475c6023e6c4d44accc Mon Sep 17 00:00:00 2001 From: Teseo Schneider Date: Wed, 22 May 2019 16:03:48 -0400 Subject: [PATCH 03/34] - matplotlib --- environment.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/environment.yml b/environment.yml index f9565a8..b5d71e3 100644 --- a/environment.yml +++ b/environment.yml @@ -4,4 +4,5 @@ dependencies: - numpy - scipy - pythreejs + - matplotlib - igl \ No newline at end of file From d06e0240a3b207a64450762f5fb28033f03d3fb8 Mon Sep 17 00:00:00 2001 From: Teseo Schneider Date: Wed, 22 May 2019 16:06:57 -0400 Subject: [PATCH 04/34] removed old stuff --- mkdocs.yml | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/mkdocs.yml b/mkdocs.yml index 355924d..37f7784 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -1,9 +1,9 @@ -site_name: blackbox-course -site_url: 'https://geometryprocessing.github.io/blackbox-course/' -repo_name: 'geometryprocessing/blackbox-course' -repo_url: 'https://github.com/geometryprocessing/blackbox-course' -edit_uri: '../https://github.com/geometryprocessing/blackbox-course/edit/docs/docs/' -site_description: "Blackbox simulations in python" +site_name: geometric-computing-python +site_url: 'https://geometryprocessing.github.io/geometric-computing-python/' +repo_name: 'geometryprocessing/geometric-computing-python' +repo_url: 'https://github.com/geometryprocessing/geometric-computing-python' +edit_uri: '../https://github.com/geometryprocessing/geometric-computing-python/edit/docs/docs/' +site_description: "Geometry Computing with Python" # strict: true docs_dir: 'doc' remote_branch: 'master' @@ -18,7 +18,7 @@ theme: extra: social: - type: 'github' - link: 'https://geometryprocessing.github.io/blackbox-course/' + link: 'https://geometryprocessing.github.io/geometric-computing-python/' markdown_extensions: - codehilite - footnotes From 409bc0b743d67eaa530e134b052792f42be96add Mon Sep 17 00:00:00 2001 From: Teseo Schneider Date: Wed, 22 May 2019 16:39:38 -0400 Subject: [PATCH 05/34] refactored --- doc/igl.md | 19 +++++++++++++++++++ doc/index.md | 40 ++++++++-------------------------------- doc/polyfem.md | 18 ++++++++++++++++++ mkdocs.yml | 2 ++ 4 files changed, 47 insertions(+), 32 deletions(-) create mode 100644 doc/igl.md create mode 100644 doc/polyfem.md diff --git a/doc/igl.md b/doc/igl.md new file mode 100644 index 0000000..8d52a9c --- /dev/null +++ b/doc/igl.md @@ -0,0 +1,19 @@ +Libigl +====== + +[![Anaconda-Server Badge](https://anaconda.org/conda-forge/igl/badges/downloads.svg)](https://anaconda.org/conda-forge/igl) +[![Anaconda-Server Badge](https://anaconda.org/conda-forge/igl/badges/installer/conda.svg)](https://conda.anaconda.org/conda-forge) + +!!! warning + Windows is currently unsupported, we expect to have it soon + +**Libigl** is a simple python and C++ geometry processing library. We have a wide functionality including construction of sparse discrete differential geometry operators and finite-elements matrices such as the cotangent Laplacian and diagonalized mass matrix, and simple facet and edge-based topology data structures. + +It can be easily install trough conda: +```bash +conda install igl +``` + +[Jupiter Notebook](https://github.com/geometryprocessing/libigl-python-bindings/blob/master/tutorial/tutorials.ipynb) + +[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/geometryprocessing/libigl-python-bindings/master?filepath=tutorial%2Ftutorials.ipynb) \ No newline at end of file diff --git a/doc/index.md b/doc/index.md index 44c990d..992e7be 100644 --- a/doc/index.md +++ b/doc/index.md @@ -4,12 +4,18 @@ Geometry Computing with Python This course is based on efficient C++ libraries binded to python. The main philosophy is to use `NumPy` arrays as a common interface, making them highly composable with each-other as well as existing scientific computing packages. -All libraries are part of **conda forge**. We advise to add `conda forge` to your conda channels: +All libraries are part of [**conda forge**](https://conda-forge.org/). We advise to add `conda forge` to your conda channels: ```bash conda config --add channels conda-forge ``` -# Introduction +Here is the list: + + - [igl](igl.md) + - [polyfem](polyfem.md) + + +# Motivation Many disciplines of computer science have access to high level libraries allowing researchers and engineers to quickly produce prototypes. For instance, in machine learning, one can construct complex, state-of-the-art models which run on the GPU in a few lines of Python. In the field of geometric computing, however such high-level libraries are sparse. As a result, writing prototypes in geometry is time consuming and difficult even for advanced users. @@ -18,34 +24,4 @@ In this course, we present a set of easy-to-use Python packages for applications In the course, we will present a set of real-world examples from geometry processing, physical simulation, and geometric deep learning. Each example is prototypical of a common task in research or industry and is implemented in a few lines of code. By the end of the course, attendees will have exposure to a swiss-army-knife of simple, composable, and high-performance tools for geometric computing. -# Libigl - -!!! warning - Windows is currently unsupported, we expect to have it soon - -**Libigl** is a simple python and C++ geometry processing library. We have a wide functionality including construction of sparse discrete differential geometry operators and finite-elements matrices such as the cotangent Laplacian and diagonalized mass matrix, and simple facet and edge-based topology data structures. - -It can be easily install trough conda: -```bash -conda install igl -``` - -[Jupiter Notebook](https://github.com/geometryprocessing/libigl-python-bindings/blob/master/tutorial/tutorials.ipynb) - -[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/geometryprocessing/libigl-python-bindings/master?filepath=tutorial%2Ftutorials.ipynb) - - -# Polyfempy - -**Polyfem** is a polyvalent easy to use C++ finite element library. - - -It can be easily install trough conda: -```bash -conda install polyfempy -``` - - -[Jupiter Notebook](https://github.com/polyfem/polyfem.github.io/blob/docs/docs/python_examples.ipynb) -[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/polyfem/polyfem.github.io.git/docs?filepath=docs%2Fpython_examples.ipynb). \ No newline at end of file diff --git a/doc/polyfem.md b/doc/polyfem.md new file mode 100644 index 0000000..5089ace --- /dev/null +++ b/doc/polyfem.md @@ -0,0 +1,18 @@ +Polyfempy +========= + +[![Anaconda-Server Badge](https://anaconda.org/conda-forge/polyfempy/badges/downloads.svg)](https://anaconda.org/conda-forge/polyfempy) +[![Anaconda-Server Badge](https://anaconda.org/conda-forge/polyfempy/badges/installer/conda.svg)](https://conda.anaconda.org/conda-forge) + +**Polyfem** is a polyvalent easy to use C++ finite element library. + + +It can be easily install trough conda: +```bash +conda install polyfempy +``` + + +[Jupiter Notebook](https://github.com/polyfem/polyfem.github.io/blob/docs/docs/python_examples.ipynb) + +[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/polyfem/polyfem.github.io.git/docs?filepath=docs%2Fpython_examples.ipynb). \ No newline at end of file diff --git a/mkdocs.yml b/mkdocs.yml index 37f7784..785ba33 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -50,3 +50,5 @@ extra_javascript: - 'https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.0/MathJax.js?config=TeX-MML-AM_CHTML' nav: - Home: index.md + - Libigl: igl.md + - Polyfem: polyfem.md From 75b2fbc6cc1ad6e932fb7232816eb5924fc04b0f Mon Sep 17 00:00:00 2001 From: Teseo Schneider Date: Wed, 22 May 2019 16:41:02 -0400 Subject: [PATCH 06/34] Fixed site name --- mkdocs.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/mkdocs.yml b/mkdocs.yml index 785ba33..1b38f08 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -1,4 +1,4 @@ -site_name: geometric-computing-python +site_name: Geometric Computing with Python site_url: 'https://geometryprocessing.github.io/geometric-computing-python/' repo_name: 'geometryprocessing/geometric-computing-python' repo_url: 'https://github.com/geometryprocessing/geometric-computing-python' From 88997db46c19fd3225943b2dfadc1d5666834483 Mon Sep 17 00:00:00 2001 From: Teseo Schneider Date: Wed, 22 May 2019 17:02:11 -0400 Subject: [PATCH 07/34] fixed typo --- doc/igl.md | 2 +- doc/polyfem.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/doc/igl.md b/doc/igl.md index 8d52a9c..3e30250 100644 --- a/doc/igl.md +++ b/doc/igl.md @@ -14,6 +14,6 @@ It can be easily install trough conda: conda install igl ``` -[Jupiter Notebook](https://github.com/geometryprocessing/libigl-python-bindings/blob/master/tutorial/tutorials.ipynb) +[Jupyter Notebook](https://github.com/geometryprocessing/libigl-python-bindings/blob/master/tutorial/tutorials.ipynb) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/geometryprocessing/libigl-python-bindings/master?filepath=tutorial%2Ftutorials.ipynb) \ No newline at end of file diff --git a/doc/polyfem.md b/doc/polyfem.md index 5089ace..69acbce 100644 --- a/doc/polyfem.md +++ b/doc/polyfem.md @@ -13,6 +13,6 @@ conda install polyfempy ``` -[Jupiter Notebook](https://github.com/polyfem/polyfem.github.io/blob/docs/docs/python_examples.ipynb) +[Jupyter Notebook](https://github.com/polyfem/polyfem.github.io/blob/docs/docs/python_examples.ipynb) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/polyfem/polyfem.github.io.git/docs?filepath=docs%2Fpython_examples.ipynb). \ No newline at end of file From 5b21928f086e34e73141b42a48851854db0995ea Mon Sep 17 00:00:00 2001 From: Teseo Schneider Date: Thu, 23 May 2019 12:51:50 -0400 Subject: [PATCH 08/34] updated index --- doc/index.md | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/doc/index.md b/doc/index.md index 992e7be..c879803 100644 --- a/doc/index.md +++ b/doc/index.md @@ -13,6 +13,9 @@ Here is the list: - [igl](igl.md) - [polyfem](polyfem.md) + - TetWild (coming soon) + - ABC dataset CAD Processing (coming soon) + - 3D Viewer (coming soon) # Motivation @@ -25,3 +28,5 @@ In this course, we present a set of easy-to-use Python packages for applications In the course, we will present a set of real-world examples from geometry processing, physical simulation, and geometric deep learning. Each example is prototypical of a common task in research or industry and is implemented in a few lines of code. By the end of the course, attendees will have exposure to a swiss-army-knife of simple, composable, and high-performance tools for geometric computing. +# Contact +This course is a group endeavor by Sebastian Koch, Teseo Schneider, Francis Williams, and Daniele Panozzo. Please contact us if you have questions or comments. For troubleshooting, please post an issue on github. We are grateful to the authors of all open source C++ libraries we are using, pybind11, Jupyter, and many others. \ No newline at end of file From 6a40d3cb1f5bc03eeb89748d4e9688cf9a7791b3 Mon Sep 17 00:00:00 2001 From: Teseo Schneider Date: Fri, 24 May 2019 09:45:54 -0400 Subject: [PATCH 09/34] fixed title and contact --- doc/index.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/doc/index.md b/doc/index.md index c879803..9ad7c9f 100644 --- a/doc/index.md +++ b/doc/index.md @@ -1,4 +1,4 @@ -Geometry Computing with Python +Geometric Computing with Python ======= This course is based on efficient C++ libraries binded to python. @@ -29,4 +29,4 @@ In the course, we will present a set of real-world examples from geometry proces # Contact -This course is a group endeavor by Sebastian Koch, Teseo Schneider, Francis Williams, and Daniele Panozzo. Please contact us if you have questions or comments. For troubleshooting, please post an issue on github. We are grateful to the authors of all open source C++ libraries we are using, pybind11, Jupyter, and many others. \ No newline at end of file +This course is a group endeavor by Sebastian Koch, Teseo Schneider, Francis Williams, and Daniele Panozzo. Please contact us if you have questions or comments. For troubleshooting, please post an issue on github. We are grateful to the authors of all open source C++ libraries we are using. In particular,libigl, tetwild, polyfem, pybind11, and Jupyter. \ No newline at end of file From 9acb5bc3e973b04df70c1fe80e9c0761a89dc37c Mon Sep 17 00:00:00 2001 From: Teseo Schneider Date: Fri, 24 May 2019 09:52:19 -0400 Subject: [PATCH 10/34] missing space --- doc/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/index.md b/doc/index.md index 9ad7c9f..62435bd 100644 --- a/doc/index.md +++ b/doc/index.md @@ -29,4 +29,4 @@ In the course, we will present a set of real-world examples from geometry proces # Contact -This course is a group endeavor by Sebastian Koch, Teseo Schneider, Francis Williams, and Daniele Panozzo. Please contact us if you have questions or comments. For troubleshooting, please post an issue on github. We are grateful to the authors of all open source C++ libraries we are using. In particular,libigl, tetwild, polyfem, pybind11, and Jupyter. \ No newline at end of file +This course is a group endeavor by Sebastian Koch, Teseo Schneider, Francis Williams, and Daniele Panozzo. Please contact us if you have questions or comments. For troubleshooting, please post an issue on github. We are grateful to the authors of all open source C++ libraries we are using. In particular, libigl, tetwild, polyfem, pybind11, and Jupyter. \ No newline at end of file From 365e02c831195315dc94cc8e83f0bb05987249b8 Mon Sep 17 00:00:00 2001 From: Teseo Schneider Date: Wed, 29 May 2019 13:51:10 -0400 Subject: [PATCH 11/34] new polyfem description --- doc/polyfem.md | 18 +++++++++++++++++- 1 file changed, 17 insertions(+), 1 deletion(-) diff --git a/doc/polyfem.md b/doc/polyfem.md index 69acbce..3d51242 100644 --- a/doc/polyfem.md +++ b/doc/polyfem.md @@ -4,7 +4,23 @@ Polyfempy [![Anaconda-Server Badge](https://anaconda.org/conda-forge/polyfempy/badges/downloads.svg)](https://anaconda.org/conda-forge/polyfempy) [![Anaconda-Server Badge](https://anaconda.org/conda-forge/polyfempy/badges/installer/conda.svg)](https://conda.anaconda.org/conda-forge) -**Polyfem** is a polyvalent easy to use C++ finite element library. +PolyFEM is a simple C++ and Python finite element library. We provide a wide set of common PDEs including: + + - Laplace + - Helmholtz + - Linear Elasticity + - Saint-Venant Elasticity + - Neo-Hookean Elasticity + - Stokes + +PolyFEM simplicity lies on the interface: just pick a problem, select some boundary condition, and solve. No need to construct complicated function spaces, or learn a new scripting language: everything is set-up trough a [JSON interface](documentation.md) or trough the [Setting class](polyfempy_doc.md) in python. + + +For instance, PolyFEM seamlessly integrates quad/hexes and tri/tets of order up to 4, and integrate state-of-the-art techniques such as the adaptive $p$-refinement presented in "Decoupling Simulation Accuracy from Mesh Quality" or the spline and polygonal bases in "Poly-Spline Finite-Element Method". + +The library is actively used in our research so expect frequent updates, fixes, and new features! + +For more information visit [https://polyfem.github.io/](https://polyfem.github.io/) or the [Python section](https://polyfem.github.io/python/). It can be easily install trough conda: From f6fc301ac656967de696cb67a6499a4cab72065d Mon Sep 17 00:00:00 2001 From: Teseo Schneider Date: Wed, 29 May 2019 13:52:19 -0400 Subject: [PATCH 12/34] fixed links --- doc/polyfem.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/polyfem.md b/doc/polyfem.md index 3d51242..db30779 100644 --- a/doc/polyfem.md +++ b/doc/polyfem.md @@ -13,7 +13,7 @@ PolyFEM is a simple C++ and Python finite element library. We provide a wide set - Neo-Hookean Elasticity - Stokes -PolyFEM simplicity lies on the interface: just pick a problem, select some boundary condition, and solve. No need to construct complicated function spaces, or learn a new scripting language: everything is set-up trough a [JSON interface](documentation.md) or trough the [Setting class](polyfempy_doc.md) in python. +PolyFEM simplicity lies on the interface: just pick a problem, select some boundary condition, and solve. No need to construct complicated function spaces, or learn a new scripting language: everything is set-up trough a [JSON interface](https://polyfem.github.io/documentation/) or trough the [Setting class](https://polyfem.github.io/polyfempy_doc/) in python. For instance, PolyFEM seamlessly integrates quad/hexes and tri/tets of order up to 4, and integrate state-of-the-art techniques such as the adaptive $p$-refinement presented in "Decoupling Simulation Accuracy from Mesh Quality" or the spline and polygonal bases in "Poly-Spline Finite-Element Method". From 88dab3ef4b89b3730d8bc4a776af6210f2881290 Mon Sep 17 00:00:00 2001 From: Teseo Schneider Date: Fri, 31 May 2019 09:45:30 -0400 Subject: [PATCH 13/34] removed windows warning --- doc/igl.md | 2 -- 1 file changed, 2 deletions(-) diff --git a/doc/igl.md b/doc/igl.md index 3e30250..ec975e8 100644 --- a/doc/igl.md +++ b/doc/igl.md @@ -4,8 +4,6 @@ Libigl [![Anaconda-Server Badge](https://anaconda.org/conda-forge/igl/badges/downloads.svg)](https://anaconda.org/conda-forge/igl) [![Anaconda-Server Badge](https://anaconda.org/conda-forge/igl/badges/installer/conda.svg)](https://conda.anaconda.org/conda-forge) -!!! warning - Windows is currently unsupported, we expect to have it soon **Libigl** is a simple python and C++ geometry processing library. We have a wide functionality including construction of sparse discrete differential geometry operators and finite-elements matrices such as the cotangent Laplacian and diagonalized mass matrix, and simple facet and edge-based topology data structures. From 54ba1d847ff2807dec82bc570c527c40e1c331fa Mon Sep 17 00:00:00 2001 From: Teseo Schneider Date: Thu, 4 Jul 2019 15:28:49 -0400 Subject: [PATCH 14/34] added viewer and triwild --- doc/index.md | 5 +++-- doc/meshplot.md | 16 ++++++++++++++++ doc/wildmeshing.md | 16 ++++++++++++++++ environment.yml | 7 ++++--- mkdocs.yml | 2 ++ 5 files changed, 41 insertions(+), 5 deletions(-) create mode 100644 doc/meshplot.md create mode 100644 doc/wildmeshing.md diff --git a/doc/index.md b/doc/index.md index 62435bd..6bd0046 100644 --- a/doc/index.md +++ b/doc/index.md @@ -11,11 +11,12 @@ conda config --add channels conda-forge Here is the list: + - [3D Viewer](meshplot) + - [Wildmeshing](wildmeshing) - [igl](igl.md) - [polyfem](polyfem.md) - - TetWild (coming soon) - ABC dataset CAD Processing (coming soon) - - 3D Viewer (coming soon) + # Motivation diff --git a/doc/meshplot.md b/doc/meshplot.md new file mode 100644 index 0000000..9b2dbce --- /dev/null +++ b/doc/meshplot.md @@ -0,0 +1,16 @@ +Meshplot +======== + +[![Anaconda-Server Badge](https://anaconda.org/conda-forge/meshplot/badges/downloads.svg)](https://anaconda.org/conda-forge/meshplot) +[![Anaconda-Server Badge](https://anaconda.org/conda-forge/meshplot/badges/installer/conda.svg)](https://conda.anaconda.org/conda-forge) + +Meshplot is a simple, and fast 2d and 3d mesh viewer based on `pythreejs`. + +It can be easily install trough conda: +```bash +conda install meshplot +``` + + + + diff --git a/doc/wildmeshing.md b/doc/wildmeshing.md new file mode 100644 index 0000000..cd6ed69 --- /dev/null +++ b/doc/wildmeshing.md @@ -0,0 +1,16 @@ +Wildmeshing +=========== + +[![Anaconda-Server Badge](https://anaconda.org/conda-forge/wildmeshing/badges/downloads.svg)](https://anaconda.org/conda-forge/wildmeshing) +[![Anaconda-Server Badge](https://anaconda.org/conda-forge/wildmeshing/badges/installer/conda.svg)](https://conda.anaconda.org/conda-forge) + +Wildmeshing is a simple and robust 2d and 3d meshing package. + +It can be easily install trough conda: +```bash +conda install wildmeshing +``` + +[Jupyter Notebook](https://github.com/wildmeshing/wildmeshing-python/blob/master/examples/tutorial.ipynb) + +[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/wildmeshing/wildmeshing-python/master?filepath=examples%2Ftutorial.ipynb) diff --git a/environment.yml b/environment.yml index b5d71e3..7c9c1fa 100644 --- a/environment.yml +++ b/environment.yml @@ -3,6 +3,7 @@ channels: dependencies: - numpy - scipy - - pythreejs - - matplotlib - - igl \ No newline at end of file + - igl + - polyfem + - meshplot + - wildmeshing \ No newline at end of file diff --git a/mkdocs.yml b/mkdocs.yml index 1b38f08..ad8ad1c 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -50,5 +50,7 @@ extra_javascript: - 'https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.0/MathJax.js?config=TeX-MML-AM_CHTML' nav: - Home: index.md + - Meshplot: meshplot.md + - Wildmeshing: wildmeshing.md - Libigl: igl.md - Polyfem: polyfem.md From a9e88e56b1d7a9ed9cad48edf3f6711a5f64fddf Mon Sep 17 00:00:00 2001 From: Teseo Schneider Date: Thu, 4 Jul 2019 16:16:26 -0400 Subject: [PATCH 15/34] added notebook for meshplot --- doc/meshplot.md | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/doc/meshplot.md b/doc/meshplot.md index 9b2dbce..a3dbf90 100644 --- a/doc/meshplot.md +++ b/doc/meshplot.md @@ -11,6 +11,7 @@ It can be easily install trough conda: conda install meshplot ``` - +[Jupyter Notebook](https://github.com/skoch9/meshplot/blob/master/examples/tutorial.ipynb) + +[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/skoch9/meshplot/master?filepath=examples%2Ftutorial.ipynb) - From 3d10f9b44c03cd43cfc4ee3e9132c49752e3cb09 Mon Sep 17 00:00:00 2001 From: Teseo Schneider Date: Thu, 11 Jul 2019 14:02:40 -0400 Subject: [PATCH 16/34] added url --- doc/meshplot.md | 3 +++ 1 file changed, 3 insertions(+) diff --git a/doc/meshplot.md b/doc/meshplot.md index a3dbf90..e87f4e2 100644 --- a/doc/meshplot.md +++ b/doc/meshplot.md @@ -6,6 +6,9 @@ Meshplot Meshplot is a simple, and fast 2d and 3d mesh viewer based on `pythreejs`. +For more information visit [https://skoch9.github.io/meshplot/](https://skoch9.github.io/meshplot/). + + It can be easily install trough conda: ```bash conda install meshplot From be344df50299f1f3c2fe51f2b689e965a0ad31b8 Mon Sep 17 00:00:00 2001 From: Teseo Schneider Date: Fri, 19 Jul 2019 19:43:02 -0400 Subject: [PATCH 17/34] added wildmeshing notebook --- doc/index.md | 9 +- doc/plot_to_md.py | 25 ++ doc/polyfem.md | 2 +- doc/wildmeshing-notebook.ipynb | 275 ++++++++++++ mkdocs.yml | 9 +- rocket.svg | 19 + small.stl | 758 +++++++++++++++++++++++++++++++++ 7 files changed, 1094 insertions(+), 3 deletions(-) create mode 100644 doc/plot_to_md.py create mode 100644 doc/wildmeshing-notebook.ipynb create mode 100644 rocket.svg create mode 100644 small.stl diff --git a/doc/index.md b/doc/index.md index 6bd0046..5854397 100644 --- a/doc/index.md +++ b/doc/index.md @@ -7,8 +7,15 @@ The main philosophy is to use `NumPy` arrays as a common interface, making them All libraries are part of [**conda forge**](https://conda-forge.org/). We advise to add `conda forge` to your conda channels: ```bash conda config --add channels conda-forge + +conda install mehsplot +conda install igl +conda install wildmeshing +conda install polyfempy ``` + + Here is the list: - [3D Viewer](meshplot) @@ -30,4 +37,4 @@ In the course, we will present a set of real-world examples from geometry proces # Contact -This course is a group endeavor by Sebastian Koch, Teseo Schneider, Francis Williams, and Daniele Panozzo. Please contact us if you have questions or comments. For troubleshooting, please post an issue on github. We are grateful to the authors of all open source C++ libraries we are using. In particular, libigl, tetwild, polyfem, pybind11, and Jupyter. \ No newline at end of file +This course is a group endeavor by Sebastian Koch, Teseo Schneider, Francis Williams, ChengChen Li, and Daniele Panozzo. Please contact us if you have questions or comments. For troubleshooting, please post an issue on github. We are grateful to the authors of all open source C++ libraries we are using. In particular, libigl, tetwild, polyfem, pybind11, and Jupyter. \ No newline at end of file diff --git a/doc/plot_to_md.py b/doc/plot_to_md.py new file mode 100644 index 0000000..cdab88a --- /dev/null +++ b/doc/plot_to_md.py @@ -0,0 +1,25 @@ +import meshplot +import json + +first = True +meshplot.rendertype = "STATIC" + +def mp_to_md(self): + global first + if first: + first = False + res = self.to_html(imports=True, html_frame=False) + else: + res = self.to_html(imports=False, html_frame=False) + + return res + +def lis_to_md(self): + res = "" + for row in self: + for e in row: + res += e.to_html() + return res + +get_ipython().display_formatter.formatters["text/html"].for_type(meshplot.Viewer, mp_to_md) +#get_ipython().display_formatter.formatters["text/html"].for_type(list, lis_to_md) diff --git a/doc/polyfem.md b/doc/polyfem.md index db30779..27cde5b 100644 --- a/doc/polyfem.md +++ b/doc/polyfem.md @@ -31,4 +31,4 @@ conda install polyfempy [Jupyter Notebook](https://github.com/polyfem/polyfem.github.io/blob/docs/docs/python_examples.ipynb) -[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/polyfem/polyfem.github.io.git/docs?filepath=docs%2Fpython_examples.ipynb). \ No newline at end of file +[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/polyfem/polyfem.github.io.git/docs?filepath=docs%2Fpython_examples.ipynb) \ No newline at end of file diff --git a/doc/wildmeshing-notebook.ipynb b/doc/wildmeshing-notebook.ipynb new file mode 100644 index 0000000..348c637 --- /dev/null +++ b/doc/wildmeshing-notebook.ipynb @@ -0,0 +1,275 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Wildmeshing tutorial" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This is a jupyter notebook. The \"real\" notebook can be found [here](https://github.com/wildmeshing/wildmeshing-python/blob/master/examples/tutorial.ipynb)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Wild meshing is a package that contains robust 2D and 3D meshing algorithms.\n", + "\n", + "It has 4 main functions:\n", + "\n", + " - `tetrahedralize`\n", + " - `triangulate`\n", + " - `triangulate_data`\n", + " - `triangulate_svg`" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "To use it just import it!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import wildmeshing as wm" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We also import meshplot to visualize" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import meshplot as mp" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## File based API" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "`tetrahedralize` and `triangulate` takes as input a path and write the output to a file using these parameters\n", + " \n", + " - `input`: Input segments in .obj format (for `triangulate`) and input surface mesh in .off/.obj/.stl/.ply format (for `tetrahedralize`).\n", + " - `feature_input` default \"\": Input feature json file (only for `triangulate`)\n", + " - `output`, default \"\": output path" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## `numpy` based API" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "`triangulate_data` uses `numpy` arrays as input and output:\n", + "\n", + "- `V`: Input vertices\n", + "- `E`: Input edges\n", + "- `feature_info`, default `none`: Json string containing the features" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "`triangulate_svg` reads an SVG and returns `numpy` arrays:\n", + "\n", + "- `svg_path`: Path for the input SVG file" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Common options" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "All function have a common list of parameters:\n", + "\n", + "- `stop_quality`, default -1: Specify max AMIPS energy for stopping mesh optimization\n", + "- `max_its`, default 80: Max number of mesh optimization iterations\n", + "- `stage`, default 1 in 2D and 2 in 3D: Specify envelope stage\n", + "- `epsilon`, default -1: Relative envelope $\\epsilon_r$. Absolute $\\epsilon = \\epsilon_r \\cdot d$, where $d$ is the diagonal of the bounding box\n", + "- `edge_length_r`, default 1/20: Relative target edge length $\\ell_r$. Absolute $\\ell=\\ell_r \\cdot d$, where $d$ is the diagonal of the bounding box\n", + "- `mute_log`, default false: Mute prints" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Triangulation" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The 2D meshing supports high order, therefore it has these additional options:\n", + "\n", + "- `feature_epsilon`, default 1e-3: Relative feature envelope mu_r. Absolute mu, default mu_r * diagonal_of_bbox (only for `triangulate`)\n", + "- `flat_feature_angle`, default 10: Desired minimal angle\n", + "- `cut_outside`, default false: Remove \"outside part\"\n", + "- `skip_eps`, default false: Skip saving eps\n", + "- `hole_file`, default \"\": Input a .xyz file for specifying points inside holes you want to remove\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "V, F, nodes, F_nodes = wm.triangulate_svg(\"rocket.svg\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#The resulting mesh\n", + "mp.plot(V, F)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#The resulting mesh with the high-order nodes:\n", + "p = mp.plot(V, F, return_plot=True)\n", + "p.add_points(nodes, shading={\"point_size\": 10})\n", + "p" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The previous mesh also outside triangles, to avoid this we enable the option `cut_outside`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "V, F, nodes, F_nodes = wm.triangulate_svg(\"rocket.svg\", cut_outside=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "p = mp.plot(V, F, return_plot=True)\n", + "p.add_points(nodes, shading={\"point_size\": 10})\n", + "p" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "I we want to carve out the window we need to speficy a point inside" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "V, F, nodes, F_nodes = wm.triangulate_svg(\"rocket.svg\", cut_outside=True, hole_pts=[[255, 165]])\n", + "p = mp.plot(V, F, return_plot=True)\n", + "p.add_points(nodes, shading={\"point_size\": 10})\n", + "p.add_points(np.array([255, 165]), shading={\"point_size\": 30, \"point_color\": \"green\"})\n", + "p" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Tetrahedralization (alpha)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The tetrahedralization part is still under developement, for the moment it supports only files as input and output. Since it is more costly and complicated it has an additional input:\n", + "\n", + "- `skip_simplify`, default false: Skips the mesh simplification" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "wm.tetrahedralize(\"small.stl\", \"out.msh\")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.7" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/mkdocs.yml b/mkdocs.yml index ad8ad1c..8131b3f 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -46,11 +46,18 @@ markdown_extensions: - pymdownx.tasklist: custom_checkbox: true - pymdownx.tilde +plugins: + - mknotebooks: + execute: true + preamble: 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shading={\"point_color\": \"red\", \"point_size\": 5})" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + " Meshing" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "vs, tris, nodes, F_nodes = wm.triangulate_svg(\"plane_hole.svg\", cut_outside=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "p = mp.plot(vs, tris, return_plot=True)\n", + "p.add_points(V, shading={\"point_color\": \"red\", \"point_size\": 2})\n", + "p.add_points(nodes, shading={\"point_color\": \"green\", \"point_size\": 2})" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + " " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Sidesets" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "solver = pf.Solver()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "solver.set_high_order_mesh(vs, tris, nodes, F_nodes)\n", + "\n", + "sp, sl, s = solver.get_boundary_sidesets()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "p=mp.plot(sp, np.zeros((0,3)), return_plot=True)\n", + "\n", + "p.add_edges(sp, sl)\n", + "\n", + "e1 = sl[s[:,0] == 1, :]\n", + "e2 = sl[s[:,0] == 2, :]\n", + "e3 = sl[s[:,0] == 3, :]\n", + "e4 = sl[s[:,0] == 4, :]\n", + "\n", + "p.add_points((sp[e1[:, 0], :]+sp[e1[:, 1], :])/2, shading={\"point_color\": \"red\", \"point_size\": 0.1})\n", + "p.add_points((sp[e2[:, 0], :]+sp[e2[:, 1], :])/2, shading={\"point_color\": \"green\", \"point_size\": 0.1})\n", + "p.add_points((sp[e3[:, 0], :]+sp[e3[:, 1], :])/2, shading={\"point_color\": \"blue\", \"point_size\": 0.1})\n", + "p.add_points((sp[e4[:, 0], :]+sp[e4[:, 1], :])/2, shading={\"point_color\": \"black\", \"point_size\": 0.1})" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Setup" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "settings = pf.Settings()\n", + "problem = pf.Problem()\n", + "\n", + "settings.set_pde(pf.PDEs.NonLinearElasticity)\n", + "\n", + "settings.discr_order = 2\n", + "\n", + "settings.set_material_params(\"E\", 210000)\n", + "settings.set_material_params(\"nu\", 0.3)\n", + "\n", + "problem.set_x_symmetric(1)\n", + "problem.set_y_symmetric(2)\n", + "problem.set_force(3, [100, 0])\n", + "\n", + "settings.set_problem(problem)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Solving!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "solver.settings(settings)\n", + "solver.solve()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Plotting results" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "sol_pts, sol_tri, disp = solver.get_sampled_solution()\n", + "misises, _ = solver.get_sampled_mises_avg()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "mp.plot(sol_pts+disp, sol_tri, misises, shading={\"wireframe\": False})" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.7" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/doc/index.md b/doc/index.md index 5854397..7de5a35 100644 --- a/doc/index.md +++ b/doc/index.md @@ -7,7 +7,11 @@ The main philosophy is to use `NumPy` arrays as a common interface, making them All libraries are part of [**conda forge**](https://conda-forge.org/). We advise to add `conda forge` to your conda channels: ```bash conda config --add channels conda-forge +``` + +Then just install them +```bash conda install mehsplot conda install igl conda install wildmeshing @@ -15,15 +19,22 @@ conda install polyfempy ``` +Here you can find more details and examples of the libraries: + +- [3D Viewer](meshplot) +- [Wildmeshing](wildmeshing) +- [igl](igl.md) +- [polyfem](polyfem.md) +- ABC dataset CAD Processing (coming soon) -Here is the list: - - [3D Viewer](meshplot) - - [Wildmeshing](wildmeshing) - - [igl](igl.md) - - [polyfem](polyfem.md) - - ABC dataset CAD Processing (coming soon) +And here the final notebooks and slides used in our presentation: +- Introduction +- Visualization, CAD Processing, and Machine Learning +- [Meshing and Simulation](Polyfem-2d) +- All together +- Closing remarks # Motivation diff --git a/doc/wildmeshing.md b/doc/wildmeshing.md index cd6ed69..deae20e 100644 --- a/doc/wildmeshing.md +++ b/doc/wildmeshing.md @@ -11,6 +11,13 @@ It can be easily install trough conda: conda install wildmeshing ``` -[Jupyter Notebook](https://github.com/wildmeshing/wildmeshing-python/blob/master/examples/tutorial.ipynb) -[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/wildmeshing/wildmeshing-python/master?filepath=examples%2Ftutorial.ipynb) +For more information visit [https://wildmeshing.github.io/](https://wildmeshing.github.io/) or the [Python section](https://wildmeshing.github.io/wildmeshing-notebook/). + + + + +[Jupyter Notebook](https://github.com/wildmeshing/wildmeshing.github.io/blob/doc/doc/wildmeshing-notebook.ipynb) + +[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/wildmeshing/wildmeshing.github.io/doc?filepath=doc%2Fwildmeshing-notebook.ipynb) + diff --git a/mkdocs.yml b/mkdocs.yml index 8131b3f..882cc87 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -55,9 +55,10 @@ extra_javascript: - 'https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.0/MathJax.js?config=TeX-MML-AM_CHTML' nav: - Home: index.md - - Meshplot: meshplot.md - - Wildmeshing: - - Intro: wildmeshing.md - - Notebook: wildmeshing-notebook.ipynb - - Libigl: igl.md - - Polyfem: polyfem.md + - Libraries: + - Meshplot: meshplot.md + - Wildmeshing: wildmeshing.md + - Libigl: igl.md + - Polyfem: polyfem.md + - Material: + - Polyfem 2D example: Polyfem-2d.ipynb diff --git a/plane_hole.svg b/plane_hole.svg new file mode 100644 index 0000000..13a95df --- /dev/null +++ b/plane_hole.svg @@ -0,0 +1,9 @@ + + + + + + From a94a31b4ff9031afdfbe3bd70f5a92d473afc1ab Mon Sep 17 00:00:00 2001 From: Teseo Schneider Date: Mon, 22 Jul 2019 09:38:16 -0400 Subject: [PATCH 19/34] cleaning up --- doc/index.md | 2 +- doc/wildmeshing-notebook.ipynb | 275 ------------ environment.yml | 6 +- rocket.svg | 19 - small.stl | 758 --------------------------------- 5 files changed, 4 insertions(+), 1056 deletions(-) delete mode 100644 doc/wildmeshing-notebook.ipynb delete mode 100644 rocket.svg delete mode 100644 small.stl diff --git a/doc/index.md b/doc/index.md index 7de5a35..259c3c4 100644 --- a/doc/index.md +++ b/doc/index.md @@ -32,7 +32,7 @@ And here the final notebooks and slides used in our presentation: - Introduction - Visualization, CAD Processing, and Machine Learning -- [Meshing and Simulation](Polyfem-2d) +- [Meshing and Simulation](Polyfem-2d) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/geometryprocessing/geometric-computing-python/doc?filepath=doc%2FPolyfem-2d.ipynb) - All together - Closing remarks diff --git a/doc/wildmeshing-notebook.ipynb b/doc/wildmeshing-notebook.ipynb deleted file mode 100644 index 348c637..0000000 --- a/doc/wildmeshing-notebook.ipynb +++ /dev/null @@ -1,275 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Wildmeshing tutorial" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This is a jupyter notebook. The \"real\" notebook can be found [here](https://github.com/wildmeshing/wildmeshing-python/blob/master/examples/tutorial.ipynb)." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Wild meshing is a package that contains robust 2D and 3D meshing algorithms.\n", - "\n", - "It has 4 main functions:\n", - "\n", - " - `tetrahedralize`\n", - " - `triangulate`\n", - " - `triangulate_data`\n", - " - `triangulate_svg`" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "To use it just import it!" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import wildmeshing as wm" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We also import meshplot to visualize" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import meshplot as mp" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## File based API" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "`tetrahedralize` and `triangulate` takes as input a path and write the output to a file using these parameters\n", - " \n", - " - `input`: Input segments in .obj format (for `triangulate`) and input surface mesh in .off/.obj/.stl/.ply format (for `tetrahedralize`).\n", - " - `feature_input` default \"\": Input feature json file (only for `triangulate`)\n", - " - `output`, default \"\": output path" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## `numpy` based API" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "`triangulate_data` uses `numpy` arrays as input and output:\n", - "\n", - "- `V`: Input vertices\n", - "- `E`: Input edges\n", - "- `feature_info`, default `none`: Json string containing the features" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "`triangulate_svg` reads an SVG and returns `numpy` arrays:\n", - "\n", - "- `svg_path`: Path for the input SVG file" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Common options" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "All function have a common list of parameters:\n", - "\n", - "- `stop_quality`, default -1: Specify max AMIPS energy for stopping mesh optimization\n", - "- `max_its`, default 80: Max number of mesh optimization iterations\n", - "- `stage`, default 1 in 2D and 2 in 3D: Specify envelope stage\n", - "- `epsilon`, default -1: Relative envelope $\\epsilon_r$. Absolute $\\epsilon = \\epsilon_r \\cdot d$, where $d$ is the diagonal of the bounding box\n", - "- `edge_length_r`, default 1/20: Relative target edge length $\\ell_r$. Absolute $\\ell=\\ell_r \\cdot d$, where $d$ is the diagonal of the bounding box\n", - "- `mute_log`, default false: Mute prints" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Triangulation" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The 2D meshing supports high order, therefore it has these additional options:\n", - "\n", - "- `feature_epsilon`, default 1e-3: Relative feature envelope mu_r. Absolute mu, default mu_r * diagonal_of_bbox (only for `triangulate`)\n", - "- `flat_feature_angle`, default 10: Desired minimal angle\n", - "- `cut_outside`, default false: Remove \"outside part\"\n", - "- `skip_eps`, default false: Skip saving eps\n", - "- `hole_file`, default \"\": Input a .xyz file for specifying points inside holes you want to remove\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "V, F, nodes, F_nodes = wm.triangulate_svg(\"rocket.svg\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "#The resulting mesh\n", - "mp.plot(V, F)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "#The resulting mesh with the high-order nodes:\n", - "p = mp.plot(V, F, return_plot=True)\n", - "p.add_points(nodes, shading={\"point_size\": 10})\n", - "p" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The previous mesh also outside triangles, to avoid this we enable the option `cut_outside`" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "V, F, nodes, F_nodes = wm.triangulate_svg(\"rocket.svg\", cut_outside=True)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "p = mp.plot(V, F, return_plot=True)\n", - "p.add_points(nodes, shading={\"point_size\": 10})\n", - "p" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "I we want to carve out the window we need to speficy a point inside" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np\n", - "V, F, nodes, F_nodes = wm.triangulate_svg(\"rocket.svg\", cut_outside=True, hole_pts=[[255, 165]])\n", - "p = mp.plot(V, F, return_plot=True)\n", - "p.add_points(nodes, shading={\"point_size\": 10})\n", - "p.add_points(np.array([255, 165]), shading={\"point_size\": 30, \"point_color\": \"green\"})\n", - "p" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Tetrahedralization (alpha)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The tetrahedralization part is still under developement, for the moment it supports only files as input and output. Since it is more costly and complicated it has an additional input:\n", - "\n", - "- `skip_simplify`, default false: Skips the mesh simplification" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "wm.tetrahedralize(\"small.stl\", \"out.msh\")" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.7" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/environment.yml b/environment.yml index 7c9c1fa..c852cc1 100644 --- a/environment.yml +++ b/environment.yml @@ -3,7 +3,7 @@ channels: dependencies: - numpy - scipy - - igl - - polyfem - meshplot - - wildmeshing \ No newline at end of file + - igl + - 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5.26010130548196 -vertex -25.7500000012148 -3.15 0.260101305481947 -endloop -endfacet -endsolid From 6a6451f41f3ddb325ea7f13ed4b4eed17cd62c69 Mon Sep 17 00:00:00 2001 From: Teseo Schneider Date: Mon, 22 Jul 2019 09:42:25 -0400 Subject: [PATCH 20/34] added p for plotting --- doc/Polyfem-2d.ipynb | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/doc/Polyfem-2d.ipynb b/doc/Polyfem-2d.ipynb index 538cf7c..017d198 100644 --- a/doc/Polyfem-2d.ipynb +++ b/doc/Polyfem-2d.ipynb @@ -31,7 +31,8 @@ "\n", "p=mp.plot(V, np.zeros((0,3)), return_plot=True)\n", "p.add_edges(V, L, shading={})\n", - "p.add_points(V, shading={\"point_color\": \"red\", \"point_size\": 5})" + "p.add_points(V, shading={\"point_color\": \"red\", \"point_size\": 5})\n", + "p" ] }, { @@ -58,7 +59,8 @@ "source": [ "p = mp.plot(vs, tris, return_plot=True)\n", "p.add_points(V, shading={\"point_color\": \"red\", \"point_size\": 2})\n", - "p.add_points(nodes, shading={\"point_color\": \"green\", \"point_size\": 2})" + "p.add_points(nodes, shading={\"point_color\": \"green\", \"point_size\": 2})\n", + "p" ] }, { @@ -113,7 +115,8 @@ "p.add_points((sp[e1[:, 0], :]+sp[e1[:, 1], :])/2, shading={\"point_color\": \"red\", \"point_size\": 0.1})\n", "p.add_points((sp[e2[:, 0], :]+sp[e2[:, 1], :])/2, shading={\"point_color\": \"green\", \"point_size\": 0.1})\n", "p.add_points((sp[e3[:, 0], :]+sp[e3[:, 1], :])/2, shading={\"point_color\": \"blue\", \"point_size\": 0.1})\n", - "p.add_points((sp[e4[:, 0], :]+sp[e4[:, 1], :])/2, shading={\"point_color\": \"black\", \"point_size\": 0.1})" + "p.add_points((sp[e4[:, 0], :]+sp[e4[:, 1], :])/2, shading={\"point_color\": \"black\", \"point_size\": 0.1})\n", + "p" ] }, { From aff4d71c7a04f715654615ae1c347b9b18534aec Mon Sep 17 00:00:00 2001 From: Teseo Schneider Date: Mon, 22 Jul 2019 11:49:29 -0400 Subject: [PATCH 21/34] added all example --- L.npy | Bin 1152 -> 0 bytes V.npy | Bin 1232 -> 0 bytes doc/All.ipynb | 235 + doc/index.md | 2 +- doc/mesh.obj | 101773 ++++++++++++++++++++++++++++++++++++++++++ doc/plane_hole.svg | 9 + mesh.obj | 101773 ++++++++++++++++++++++++++++++++++++++++++ mkdocs.yml | 1 + 8 files changed, 203792 insertions(+), 1 deletion(-) delete mode 100644 L.npy delete mode 100644 V.npy create mode 100644 doc/All.ipynb create mode 100644 doc/mesh.obj create mode 100644 doc/plane_hole.svg create mode 100644 mesh.obj diff --git a/L.npy b/L.npy deleted file mode 100644 index 05cf9a6d1c07c8dab23840bd5736584a9e4cc494..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1152 zcmbWxIZpxs5I|w@zVG{7&jrN`5fSk=b{ZQCD??WUwes6TwN{D#_E+WCdeqq0pUdx2qf_}@ zCdj5U!FTZA=}Iukm`$`c)7nC7E3Iv`w$s`{YbUKfrrq4Nht^(N`)KW_b%54ET8C&I zrgenYQCi1n9jA4I)=65YXq~2YhSphH=V+a$HJ}%8G3FAj%e1c0x=L$EYl_x1y@u;C zGqi5dx=HI6t=qKj(3+)pF&A@>);z8Iv=(SRptVTrAzi|wn8&o9(0WSi8Lj8EUeJ0; F{{o%!EGhs1 diff --git a/V.npy b/V.npy deleted file mode 100644 index f93b77ffdec47e477b4272b3236249f90f4172b1..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1232 zcmbW1Pe>F|9LF_5SPz;f8HAYIG_eQq&>wL@FN#88kt`2{W!;@!wcRymRVeM!p&ElO zoqk(~u0=Nw;$9VGkihcvB07W~7P{2IG%xM`zV9dPKorg8$LD?C_r2eH!_4y=lh-Fy zYs+%Wij(!q8Q&SOox$8yCvH2rd4JJQms0b7)@zK9qzh%QK3<+l-}UNz@$$8}-S5Wj z2loFy9TloSL3W7iz3k8nBDM8|tIk(2KKclCx5`!bJ>;sYA2A-RqPjmZKDESEcUm5= zyI$b+D0PKd(=_IFPr_SC81bV_r|S--i!N@U^GN z@7-pvD=*>O2C#qETjYxuc)m(h;jMGXTRX^iA5L?h^Z`D#!%XX+kneoWtfmg(-8J~& zEArJjjI#+&9G;>S!M!rJUBJbMTG3ZE33IVk-be>3aKd^f^!KjO*UpYVIrw{R@N t!{(gg>)$KBU(=uPSP|pGF>@Z_(A=wVVEPo6`x1_sK7~WmhwyLzk6+U^PB{Po diff --git a/doc/All.ipynb b/doc/All.ipynb new file mode 100644 index 0000000..bec5fdb --- /dev/null +++ b/doc/All.ipynb @@ -0,0 +1,235 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import math\n", + "import igl\n", + "import meshplot as mp\n", + "import wildmeshing as wm\n", + "import polyfempy as pf" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Read the mesh" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "V, F = igl.read_triangle_mesh(\"mesh.obj\")\n", + "mp.plot(V, F)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Get mesh bounding box and center" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "minn = np.min(V, axis=0)\n", + "maxx = np.max(V, axis=0)\n", + "\n", + "center = (minn+maxx)/2" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Function to select sidesets:\n", + "\n", + "- Sideset 2: $z$-component close to the bottom boundary `minn[2]` and larger than $y$ of center\n", + "- Sideset 3: $z$-component close to the bottom boundary `minn[2]` and smaller than $y$ of center" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "def sideset(p):\n", + " if abs(p[2] - minn[2]) < 0.5:\n", + " if p[1] > center[1]:\n", + " return 2\n", + " else:\n", + " return 3\n", + " return 1" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Wildmeshing tetrahedralization" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "wm.tetrahedralize(\"mesh.obj\", \"out.mesh\", mute_log=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Loading the mesh" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "solver = pf.Solver()\n", + "solver.load_mesh_from_path(\"out.mesh\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Using the previous function as sidesets and visualization for confirmation" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "solver.set_boundary_side_set_from_bary(sideset)\n", + "\n", + "ps, ts, s = solver.get_boundary_sidesets()\n", + "\n", + "col = np.zeros_like(s)\n", + "col[s==2] = 2\n", + "col[s==3] = 3\n", + "\n", + "mp.plot(ps, ts, col, shading={\"wireframe\": False})" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Setup the problem" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "settings = pf.Settings()\n", + "problem = pf.Problem()\n", + "\n", + "settings.set_pde(pf.PDEs.LinearElasticity)\n", + "\n", + "settings.set_material_params(\"E\", 200)\n", + "settings.set_material_params(\"nu\", 0.35)\n", + "\n", + "\n", + "problem.set_displacement(2, [0, 0, 0])\n", + "problem.set_force(3, [0, 0.5, 0])\n", + "\n", + "settings.set_problem(problem)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Solve!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "solver.settings(settings)\n", + "solver.solve()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Visualization of displacement and stresses" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "p, t, d = solver.get_sampled_solution()\n", + "m, _ = solver.get_sampled_mises_avg()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "mp.plot(p+d, t, m, shading={\"wireframe\": False})" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.3" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/doc/index.md b/doc/index.md index 259c3c4..49e9828 100644 --- a/doc/index.md +++ b/doc/index.md @@ -33,7 +33,7 @@ And here the final notebooks and slides used in our presentation: - Introduction - Visualization, CAD Processing, and Machine Learning - [Meshing and Simulation](Polyfem-2d) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/geometryprocessing/geometric-computing-python/doc?filepath=doc%2FPolyfem-2d.ipynb) -- All together +- [All together](All) - Closing remarks diff --git a/doc/mesh.obj b/doc/mesh.obj new file mode 100644 index 0000000..e9ff4ae --- /dev/null +++ b/doc/mesh.obj @@ -0,0 +1,101773 @@ +v -34.824175 -72.811317 -29.319378 +v -34.861571 -73.152000 -29.337000 +v -91.884429 -73.152000 -29.337000 +v -92.075000 -69.850000 -26.035000 +v -31.539797 -69.850000 -26.035000 +v 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19430//21494 +f 1295//21685 19366//21430 19367//21431 +f 19159//21223 19315//21379 19442//21506 +f 25//21687 19334//21398 19366//21430 +f 19315//21379 18962//21026 19442//21506 +f 19333//21397 63//21693 19371//21435 +f 19366//21430 19072//21136 19367//21431 +f 1245//21635 19323//21387 19426//21490 +f 19336//21400 19065//21129 19442//21506 +f 19385//21449 1136//21632 19427//21491 +f 19433//21497 19064//21128 19437//21501 +f 18962//21026 19336//21400 19442//21506 +f 19087//21151 19433//21497 19437//21501 +f 19071//21135 19333//21397 19371//21435 +f 19334//21398 19072//21136 19366//21430 +f 18960//21024 19423//21487 19454//21518 +f 19423//21487 19194//21258 19454//21518 +f 19068//21132 19385//21449 19427//21491 diff --git a/mkdocs.yml b/mkdocs.yml index 882cc87..12f8713 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -62,3 +62,4 @@ nav: - Polyfem: polyfem.md - Material: - Polyfem 2D example: Polyfem-2d.ipynb + - igl, MeshCAD, Polyfem 3D example: All.ipynb From 352c9939e87efab03678e769889d4214a01d29e5 Mon Sep 17 00:00:00 2001 From: Teseo Schneider Date: Mon, 22 Jul 2019 12:46:37 -0400 Subject: [PATCH 22/34] added binder --- doc/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/index.md b/doc/index.md index 49e9828..92cd284 100644 --- a/doc/index.md +++ b/doc/index.md @@ -33,7 +33,7 @@ And here the final notebooks and slides used in our presentation: - Introduction - Visualization, CAD Processing, and Machine Learning - [Meshing and Simulation](Polyfem-2d) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/geometryprocessing/geometric-computing-python/doc?filepath=doc%2FPolyfem-2d.ipynb) -- [All together](All) +- [All together](All) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/geometryprocessing/geometric-computing-python/doc?filepath=doc%2FAll.ipynb) - Closing remarks From 7bf04a791a242f6e2a1b1ad278d0293b98b3002a Mon Sep 17 00:00:00 2001 From: Teseo Schneider Date: Mon, 22 Jul 2019 14:02:21 -0400 Subject: [PATCH 23/34] missing files --- L.npy | Bin 0 -> 1152 bytes V.npy | Bin 0 -> 1232 bytes doc/L.npy | Bin 0 -> 1152 bytes doc/V.npy | Bin 0 -> 1232 bytes 4 files changed, 0 insertions(+), 0 deletions(-) create mode 100644 L.npy create mode 100644 V.npy create mode 100644 doc/L.npy create mode 100644 doc/V.npy diff --git a/L.npy b/L.npy new file mode 100644 index 0000000000000000000000000000000000000000..05cf9a6d1c07c8dab23840bd5736584a9e4cc494 GIT binary patch literal 1152 zcmbWxIZpxs5I|w@zVG{7&jrN`5fSk=b{ZQCD??WUwes6TwN{D#_E+WCdeqq0pUdx2qf_}@ zCdj5U!FTZA=}Iukm`$`c)7nC7E3Iv`w$s`{YbUKfrrq4Nht^(N`)KW_b%54ET8C&I zrgenYQCi1n9jA4I)=65YXq~2YhSphH=V+a$HJ}%8G3FAj%e1c0x=L$EYl_x1y@u;C zGqi5dx=HI6t=qKj(3+)pF&A@>);z8Iv=(SRptVTrAzi|wn8&o9(0WSi8Lj8EUeJ0; F{{o%!EGhs1 literal 0 HcmV?d00001 diff --git a/V.npy b/V.npy new file mode 100644 index 0000000000000000000000000000000000000000..f93b77ffdec47e477b4272b3236249f90f4172b1 GIT binary patch literal 1232 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100644 --- a/doc/igl.md +++ b/doc/igl.md @@ -12,6 +12,10 @@ It can be easily install trough conda: conda install igl ``` + +For more information visit [https://geometryprocessing.github.io/libigl-python-bindings/](https://geometryprocessing.github.io/libigl-python-bindings/) or the [C++ website](https://libigl.github.io/). + + [Jupyter Notebook](https://github.com/geometryprocessing/libigl-python-bindings/blob/master/tutorial/tutorials.ipynb) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/geometryprocessing/libigl-python-bindings/master?filepath=tutorial%2Ftutorials.ipynb) \ No newline at end of file From b2976ac4cc02f1c2cdf5e12039d9cd96084553e4 Mon Sep 17 00:00:00 2001 From: Teseo Schneider Date: Tue, 23 Jul 2019 09:53:41 -0400 Subject: [PATCH 25/34] fixed polyfem 2d --- doc/Polyfem-2d.ipynb | 48 +++++++++++++------------------------------- 1 file changed, 14 insertions(+), 34 deletions(-) diff --git a/doc/Polyfem-2d.ipynb b/doc/Polyfem-2d.ipynb index 017d198..01dc64b 100644 --- a/doc/Polyfem-2d.ipynb +++ b/doc/Polyfem-2d.ipynb @@ -1,5 +1,12 @@ { "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Imports" + ] + }, { "cell_type": "code", "execution_count": null, @@ -17,7 +24,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Load some data" + "## Load Data" ] }, { @@ -39,7 +46,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - " Meshing" + "## Meshing" ] }, { @@ -62,19 +69,13 @@ "p.add_points(nodes, shading={\"point_color\": \"green\", \"point_size\": 2})\n", "p" ] + } }, { "cell_type": "markdown", "metadata": {}, "source": [ - " " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Sidesets" + "## Sidesets for Boundary Conditions" ] }, { @@ -123,16 +124,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Setup" + "## Problem and Settings Setup" ] }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, { "cell_type": "code", "execution_count": null, @@ -160,7 +154,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Solving!" + "## Solving!" ] }, { @@ -177,7 +171,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Plotting results" + "## Results" ] }, { @@ -198,20 +192,6 @@ "source": [ "mp.plot(sol_pts+disp, sol_tri, misises, shading={\"wireframe\": False})" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { From b7bf87365d7e33255259c89c09689f09b3ef1b8e Mon Sep 17 00:00:00 2001 From: Teseo Schneider Date: Thu, 25 Jul 2019 10:26:28 -0400 Subject: [PATCH 26/34] fix --- doc/Polyfem-2d.ipynb | 1 - 1 file changed, 1 deletion(-) diff --git a/doc/Polyfem-2d.ipynb b/doc/Polyfem-2d.ipynb index 01dc64b..fe46a18 100644 --- a/doc/Polyfem-2d.ipynb +++ b/doc/Polyfem-2d.ipynb @@ -69,7 +69,6 @@ "p.add_points(nodes, shading={\"point_color\": \"green\", \"point_size\": 2})\n", "p" ] - } }, { "cell_type": "markdown", From 1bb5e770c39eee890c90de7d3dc38e76f17a9af8 Mon Sep 17 00:00:00 2001 From: Teseo Schneider Date: Thu, 25 Jul 2019 14:06:57 -0400 Subject: [PATCH 27/34] updated general example --- doc/All.ipynb | 257 ++++++++++++++++++++++++++++++++++++++++---------- doc/index.md | 4 +- mkdocs.yml | 2 +- 3 files changed, 210 insertions(+), 53 deletions(-) diff --git a/doc/All.ipynb b/doc/All.ipynb index bec5fdb..c2e92db 100644 --- a/doc/All.ipynb +++ b/doc/All.ipynb @@ -1,9 +1,24 @@ { "cells": [ + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Imports" + ] + }, { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "slideshow": { + "slide_type": "-" + } + }, "outputs": [], "source": [ "import numpy as np\n", @@ -16,15 +31,23 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, "source": [ - "Read the mesh" + "## Read the Mesh" ] }, { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "slideshow": { + "slide_type": "-" + } + }, "outputs": [], "source": [ "V, F = igl.read_triangle_mesh(\"mesh.obj\")\n", @@ -33,86 +56,122 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, "source": [ - "Get mesh bounding box and center" + "## Tetrahedralization with Wildmeshing" ] }, { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "slideshow": { + "slide_type": "-" + } + }, "outputs": [], "source": [ - "minn = np.min(V, axis=0)\n", - "maxx = np.max(V, axis=0)\n", - "\n", - "center = (minn+maxx)/2" + "wm.tetrahedralize(\"mesh.obj\", \"out.mesh\", mute_log=True)" ] }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, "source": [ - "Function to select sidesets:\n", - "\n", - "- Sideset 2: $z$-component close to the bottom boundary `minn[2]` and larger than $y$ of center\n", - "- Sideset 3: $z$-component close to the bottom boundary `minn[2]` and smaller than $y$ of center" + "## Loading the Mesh in Polyfem" ] }, { "cell_type": "code", - "execution_count": 1, - "metadata": {}, + "execution_count": null, + "metadata": { + "slideshow": { + "slide_type": "-" + } + }, "outputs": [], "source": [ - "def sideset(p):\n", - " if abs(p[2] - minn[2]) < 0.5:\n", - " if p[1] > center[1]:\n", - " return 2\n", - " else:\n", - " return 3\n", - " return 1" + "solver = pf.Solver()\n", + "solver.load_mesh_from_path(\"out.mesh\")" ] }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, "source": [ - "Wildmeshing tetrahedralization" + "## Advanced Sidesets" ] }, { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "slideshow": { + "slide_type": "-" + } + }, "outputs": [], "source": [ - "wm.tetrahedralize(\"mesh.obj\", \"out.mesh\", mute_log=True)" + "minn = np.min(V, axis=0)\n", + "maxx = np.max(V, axis=0)\n", + "\n", + "center = (minn+maxx)/2" ] }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "slideshow": { + "slide_type": "-" + } + }, "source": [ - "Loading the mesh" + "Function to select sidesets:\n", + "\n", + "- Sideset 2: $z$-component close to the bottom boundary `minn[2]` and larger than $y$ of center\n", + "- Sideset 3: $z$-component close to the bottom boundary `minn[2]` and smaller than $y$ of center" ] }, { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "slideshow": { + "slide_type": "-" + } + }, "outputs": [], "source": [ - "solver = pf.Solver()\n", - "solver.load_mesh_from_path(\"out.mesh\")" + "def sideset(p):\n", + " if abs(p[2] - minn[2]) < 0.5:\n", + " if p[1] > center[1]:\n", + " return 2\n", + " else:\n", + " return 3\n", + " return 1" ] }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, "source": [ - "Using the previous function as sidesets and visualization for confirmation" + "## Loading a Visualizing Sidesets" ] }, { @@ -122,21 +181,21 @@ "outputs": [], "source": [ "solver.set_boundary_side_set_from_bary(sideset)\n", - "\n", "ps, ts, s = solver.get_boundary_sidesets()\n", "\n", - "col = np.zeros_like(s)\n", - "col[s==2] = 2\n", - "col[s==3] = 3\n", - "\n", + "col = np.zeros_like(s); col[s==2] = 2; col[s==3] = 3\n", "mp.plot(ps, ts, col, shading={\"wireframe\": False})" ] }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, "source": [ - "Setup the problem" + "## Setup Problem" ] }, { @@ -162,9 +221,13 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, "source": [ - "Solve!" + "## Solve!" ] }, { @@ -179,9 +242,13 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, "source": [ - "Visualization of displacement and stresses" + "## Visualization of Results" ] }, { @@ -191,16 +258,59 @@ "outputs": [], "source": [ "p, t, d = solver.get_sampled_solution()\n", - "m, _ = solver.get_sampled_mises_avg()" + "m = np.linalg.norm(d, axis=1)\n", + "\n", + "mp.plot(p+d, t, m, shading={\"wireframe\": False})" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Isolines" ] }, { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "slideshow": { + "slide_type": "-" + } + }, "outputs": [], "source": [ - "mp.plot(p+d, t, m, shading={\"wireframe\": False})" + "p_uni, indices, inverse = np.unique(p, return_index=True, return_inverse=True, axis=0)\n", + "\n", + "t_uni = np.array([inverse[t[:, 0]], inverse[t[:, 1]], inverse[t[:, 2]], inverse[t[:, 3]]]).transpose()\n", + "d_uni = d[indices, :]\n", + "m_uni = m[indices]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [], + "source": [ + "adj, _ = igl.tet_tet_adjacency(t_uni)\n", + "\n", + "igl_faces = [[0,1,2], [0,1,3], [1,2,3], [2,0,3]]\n", + "surf = []\n", + "for t in range(adj.shape[0]):\n", + " for f in range(adj.shape[1]):\n", + " face = igl_faces[f]\n", + " if adj[t, f] == -1:\n", + " surf += [[t_uni[t, face[0]], t_uni[t, face[1]], t_uni[t, face[2]]]]\n", + "surf = np.array(surf)" ] }, { @@ -208,10 +318,50 @@ "execution_count": null, "metadata": {}, "outputs": [], + "source": [ + "iso_p, iso_l = igl.isolines(p_uni+d_uni, surf, m_uni, 20)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Plot!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "slideshow": { + "slide_type": "-" + } + }, + "outputs": [], + "source": [ + "p = mp.plot(p_uni+d_uni, surf, m_uni, shading={\"wireframe\": False}, return_plot=True)\n", + "p.add_edges(iso_p, iso_l, shading={\"line_color\": \"white\"})\n", + "p" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "slideshow": { + "slide_type": "skip" + } + }, + "outputs": [], "source": [] } ], "metadata": { + "celltoolbar": "Slideshow", "kernelspec": { "display_name": "Python 3", "language": "python", @@ -228,6 +378,13 @@ "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.3" + }, + "rise": { + "progress": false, + "scroll": true, + "slidenumber": false, + "theme": "while", + "transition": "none" } }, "nbformat": 4, diff --git a/doc/index.md b/doc/index.md index 92cd284..8d00be4 100644 --- a/doc/index.md +++ b/doc/index.md @@ -12,7 +12,7 @@ conda config --add channels conda-forge Then just install them ```bash -conda install mehsplot +conda install meshplot conda install igl conda install wildmeshing conda install polyfempy @@ -48,4 +48,4 @@ In the course, we will present a set of real-world examples from geometry proces # Contact -This course is a group endeavor by Sebastian Koch, Teseo Schneider, Francis Williams, ChengChen Li, and Daniele Panozzo. Please contact us if you have questions or comments. For troubleshooting, please post an issue on github. We are grateful to the authors of all open source C++ libraries we are using. In particular, libigl, tetwild, polyfem, pybind11, and Jupyter. \ No newline at end of file +This course is a group endeavor by Sebastian Koch, Teseo Schneider, Francis Williams, Chengchen Li, and Daniele Panozzo. Please contact us if you have questions or comments. For troubleshooting, please post an issue on github. We are grateful to the authors of all open source C++ libraries we are using. In particular, libigl, tetwild, polyfem, pybind11, and Jupyter. \ No newline at end of file diff --git a/mkdocs.yml b/mkdocs.yml index 12f8713..98b3422 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -62,4 +62,4 @@ nav: - Polyfem: polyfem.md - Material: - Polyfem 2D example: Polyfem-2d.ipynb - - igl, MeshCAD, Polyfem 3D example: All.ipynb + - All together: All.ipynb From 38ad64d8dac18022b92ad761347bfdd7e7f0ee56 Mon Sep 17 00:00:00 2001 From: Teseo Schneider Date: Fri, 26 Jul 2019 11:36:31 -0400 Subject: [PATCH 28/34] better tools --- doc/index.md | 7 ++++--- mkdocs.yml | 8 ++++++-- 2 files changed, 10 insertions(+), 5 deletions(-) diff --git a/doc/index.md b/doc/index.md index 8d00be4..395dc49 100644 --- a/doc/index.md +++ b/doc/index.md @@ -31,10 +31,11 @@ Here you can find more details and examples of the libraries: And here the final notebooks and slides used in our presentation: - Introduction -- Visualization, CAD Processing, and Machine Learning +- Visualization and Geometry Processing +- CAD and Machine Learning - [Meshing and Simulation](Polyfem-2d) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/geometryprocessing/geometric-computing-python/doc?filepath=doc%2FPolyfem-2d.ipynb) -- [All together](All) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/geometryprocessing/geometric-computing-python/doc?filepath=doc%2FAll.ipynb) -- Closing remarks +- [Ultimate Example](All) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/geometryprocessing/geometric-computing-python/doc?filepath=doc%2FAll.ipynb) +- Closing Remarks # Motivation diff --git a/mkdocs.yml b/mkdocs.yml index 98b3422..f69f48d 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -61,5 +61,9 @@ nav: - Libigl: igl.md - Polyfem: polyfem.md - Material: - - Polyfem 2D example: Polyfem-2d.ipynb - - All together: All.ipynb + # - Introduction: todo + # - Visualization and Geometry Processing: todo + # - CAD and Machine Learning: todo + - Meshing and Simulation: Polyfem-2d.ipynb + - Ultimate Example: All.ipynb + # - Closing Remarks: todo From 55c7ae2d27e89a52f38594dfb7f4634da784e281 Mon Sep 17 00:00:00 2001 From: Teseo Schneider Date: Fri, 26 Jul 2019 11:38:07 -0400 Subject: [PATCH 29/34] removed edit url --- mkdocs.yml | 1 - 1 file changed, 1 deletion(-) diff --git a/mkdocs.yml b/mkdocs.yml index f69f48d..fe6f0fb 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -2,7 +2,6 @@ site_name: Geometric Computing with Python site_url: 'https://geometryprocessing.github.io/geometric-computing-python/' repo_name: 'geometryprocessing/geometric-computing-python' repo_url: 'https://github.com/geometryprocessing/geometric-computing-python' -edit_uri: '../https://github.com/geometryprocessing/geometric-computing-python/edit/docs/docs/' site_description: "Geometry Computing with Python" # strict: true docs_dir: 'doc' From 10f80fd43ac86485586d56f7a4bbcc137c1b0472 Mon Sep 17 00:00:00 2001 From: Sebastian Koch Date: Mon, 29 Jul 2019 23:20:00 +0200 Subject: [PATCH 30/34] Add CAD/Basic Tutorials, update existing Notebooks --- doc/All.ipynb | 23 +- doc/Polyfem-2d.ipynb | 27 +- doc/cad_ml.ipynb | 514 + doc/data/armadillo.obj | 129725 +++++++++++++++ doc/data/beetle.off | 58546 +++++++ doc/data/bumpy.off | 3748 + doc/data/bunny.obj | 10451 ++ doc/data/camelhead.off | 34087 ++++ doc/data/cow.off | 8284 + doc/data/decimated-max-selection.dmat | 5273 + doc/data/decimated-max.obj | 15812 ++ doc/data/ml/ABC/models/m_022_0.9606.dat | Bin 0 -> 2130646 bytes doc/data/ml/ABC/processed/test_data.pt | Bin 0 -> 4168749 bytes .../ml/ABC/processed/test_data_normals.pt | Bin 0 -> 4764109 bytes doc/data/ml/ABC/processed/train_data.pt | Bin 0 -> 6245397 bytes .../ml/ABC/processed/train_data_normals.pt | Bin 0 -> 7137421 bytes doc/data/ml/ABC/raw/test_data/dummy.txt | 1 + doc/data/ml/ABC/raw/test_label/dummy.txt | 1 + doc/data/ml/ABC/raw/train_data/dummy.txt | 1 + doc/data/ml/ABC/raw/train_label/dummy.txt | 1 + doc/data/test1.step | 5589 + doc/index.md | 8 +- doc/plot_to_md.py | 14 +- doc/utils.py | 467 + doc/viz_basic.ipynb | 389 + environment.yml | 18 +- mkdocs.yml | 4 +- 27 files changed, 272941 insertions(+), 42 deletions(-) create mode 100644 doc/cad_ml.ipynb create mode 100644 doc/data/armadillo.obj create mode 100644 doc/data/beetle.off create mode 100644 doc/data/bumpy.off create mode 100644 doc/data/bunny.obj create mode 100755 doc/data/camelhead.off create mode 100644 doc/data/cow.off create mode 100644 doc/data/decimated-max-selection.dmat create mode 100644 doc/data/decimated-max.obj create mode 100644 doc/data/ml/ABC/models/m_022_0.9606.dat create mode 100644 doc/data/ml/ABC/processed/test_data.pt create mode 100644 doc/data/ml/ABC/processed/test_data_normals.pt create mode 100644 doc/data/ml/ABC/processed/train_data.pt create mode 100644 doc/data/ml/ABC/processed/train_data_normals.pt create mode 100644 doc/data/ml/ABC/raw/test_data/dummy.txt create mode 100644 doc/data/ml/ABC/raw/test_label/dummy.txt create mode 100644 doc/data/ml/ABC/raw/train_data/dummy.txt create mode 100644 doc/data/ml/ABC/raw/train_label/dummy.txt create mode 100644 doc/data/test1.step create mode 100644 doc/utils.py create mode 100644 doc/viz_basic.ipynb diff --git a/doc/All.ipynb b/doc/All.ipynb index c2e92db..23255f1 100644 --- a/doc/All.ipynb +++ b/doc/All.ipynb @@ -51,7 +51,7 @@ "outputs": [], "source": [ "V, F = igl.read_triangle_mesh(\"mesh.obj\")\n", - "mp.plot(V, F)" + "mp.plot(V, F, shading={\"wireframe\": True})" ] }, { @@ -184,7 +184,7 @@ "ps, ts, s = solver.get_boundary_sidesets()\n", "\n", "col = np.zeros_like(s); col[s==2] = 2; col[s==3] = 3\n", - "mp.plot(ps, ts, col, shading={\"wireframe\": False})" + "mp.plot(ps, ts, col)" ] }, { @@ -260,7 +260,7 @@ "p, t, d = solver.get_sampled_solution()\n", "m = np.linalg.norm(d, axis=1)\n", "\n", - "mp.plot(p+d, t, m, shading={\"wireframe\": False})" + "mp.plot(p+d, t, m)" ] }, { @@ -343,25 +343,12 @@ }, "outputs": [], "source": [ - "p = mp.plot(p_uni+d_uni, surf, m_uni, shading={\"wireframe\": False}, return_plot=True)\n", - "p.add_edges(iso_p, iso_l, shading={\"line_color\": \"white\"})\n", - "p" + "p = mp.plot(p_uni+d_uni, surf, m_uni, return_plot=True)\n", + "p.add_edges(iso_p, iso_l, shading={\"line_color\": \"white\"})" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "slideshow": { - "slide_type": "skip" - } - }, - "outputs": [], - "source": [] } ], "metadata": { - "celltoolbar": "Slideshow", "kernelspec": { "display_name": "Python 3", "language": "python", diff --git a/doc/Polyfem-2d.ipynb b/doc/Polyfem-2d.ipynb index fe46a18..6ba1ecf 100644 --- a/doc/Polyfem-2d.ipynb +++ b/doc/Polyfem-2d.ipynb @@ -37,9 +37,8 @@ "L = np.load(\"L.npy\")\n", "\n", "p=mp.plot(V, np.zeros((0,3)), return_plot=True)\n", - "p.add_edges(V, L, shading={})\n", - "p.add_points(V, shading={\"point_color\": \"red\", \"point_size\": 5})\n", - "p" + "p.add_edges(V, L, shading={});\n", + "p.add_points(V, shading={\"point_color\": \"red\", \"point_size\": 10})" ] }, { @@ -64,10 +63,9 @@ "metadata": {}, "outputs": [], "source": [ - "p = mp.plot(vs, tris, return_plot=True)\n", - "p.add_points(V, shading={\"point_color\": \"red\", \"point_size\": 2})\n", - "p.add_points(nodes, shading={\"point_color\": \"green\", \"point_size\": 2})\n", - "p" + "p = mp.plot(vs, tris, shading={\"wireframe\": True}, return_plot=True)\n", + "p.add_points(V, shading={\"point_color\": \"red\", \"point_size\": 2});\n", + "p.add_points(nodes, shading={\"point_color\": \"green\", \"point_size\": 2})" ] }, { @@ -105,18 +103,17 @@ "source": [ "p=mp.plot(sp, np.zeros((0,3)), return_plot=True)\n", "\n", - "p.add_edges(sp, sl)\n", + "p.add_edges(sp, sl);\n", "\n", "e1 = sl[s[:,0] == 1, :]\n", "e2 = sl[s[:,0] == 2, :]\n", "e3 = sl[s[:,0] == 3, :]\n", "e4 = sl[s[:,0] == 4, :]\n", "\n", - "p.add_points((sp[e1[:, 0], :]+sp[e1[:, 1], :])/2, shading={\"point_color\": \"red\", \"point_size\": 0.1})\n", - "p.add_points((sp[e2[:, 0], :]+sp[e2[:, 1], :])/2, shading={\"point_color\": \"green\", \"point_size\": 0.1})\n", - "p.add_points((sp[e3[:, 0], :]+sp[e3[:, 1], :])/2, shading={\"point_color\": \"blue\", \"point_size\": 0.1})\n", - "p.add_points((sp[e4[:, 0], :]+sp[e4[:, 1], :])/2, shading={\"point_color\": \"black\", \"point_size\": 0.1})\n", - "p" + "p.add_points((sp[e1[:, 0], :]+sp[e1[:, 1], :])/2, shading={\"point_color\": \"red\", \"point_size\": 0.1});\n", + "p.add_points((sp[e2[:, 0], :]+sp[e2[:, 1], :])/2, shading={\"point_color\": \"green\", \"point_size\": 0.1});\n", + "p.add_points((sp[e3[:, 0], :]+sp[e3[:, 1], :])/2, shading={\"point_color\": \"blue\", \"point_size\": 0.1});\n", + "p.add_points((sp[e4[:, 0], :]+sp[e4[:, 1], :])/2, shading={\"point_color\": \"black\", \"point_size\": 0.1})" ] }, { @@ -189,7 +186,7 @@ "metadata": {}, "outputs": [], "source": [ - "mp.plot(sol_pts+disp, sol_tri, misises, shading={\"wireframe\": False})" + "mp.plot(sol_pts+disp, sol_tri, misises)" ] } ], @@ -209,7 +206,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.7" + "version": "3.7.3" } }, "nbformat": 4, diff --git a/doc/cad_ml.ipynb b/doc/cad_ml.ipynb new file mode 100644 index 0000000..2683518 --- /dev/null +++ b/doc/cad_ml.ipynb @@ -0,0 +1,514 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CAD Processing" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Installation\n", + "\n", + "The ABC dataset offers 1 Million CAD files and a specialized library to process the files and generate arbitrary dense meshes and point clouds. The library can be installed with `conda install -c pythonocc -c oce -c dlr-sc -c conda-forge -c tpaviot -c skoch9 cadmesh`. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Import" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import cadmesh as cm\n", + "import meshplot as mp\n", + "import numpy as np\n", + "import igl" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Meshing CAD files" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "m_coarse = cm.mesh_model(\"data/test1.step\", max_size=4e-5)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "mp.plot(m_coarse[\"vertices\"], m_coarse[\"face_indices\"], shading={\"wireframe\": True, \"wire_width\": 1.0})" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "m_dense = cm.mesh_model(\"data/test1.step\", max_size=2e-5)\n", + "mp.plot(m_dense[\"vertices\"], m_dense[\"face_indices\"], shading={\"wireframe\": True, \"wire_width\": 1.0})" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Ground Truth Quantities" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from utils import read_model\n", + "\n", + "m = read_model(\"data/test1_trimesh.obj\", \"data/test1_features.yml\")\n", + "\n", + "# Average normals at vertices with multiple normals\n", + "av_normals = cm.get_averaged_normals(m)\n", + "\n", + "# Determine normals with uniform weighting in libigl\n", + "normals = igl.per_vertex_normals(m[\"vertices\"], m[\"face_indices\"].astype(\"int64\"))\n", + "\n", + "# Plot the model\n", + "p = mp.plot(m[\"vertices\"], m[\"face_indices\"], return_plot=True)\n", + "\n", + "# Add normals to the plot\n", + "p.add_lines(m[\"vertices\"], m[\"vertices\"] + normals * 2.0, shading={\"line_color\": \"red\"});\n", + "p.add_lines(m[\"vertices\"], m[\"vertices\"] + av_normals * 2.0, shading={\"line_color\": \"black\"})" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Feature Curves and Patches" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Retrieve the surface patches\n", + "c = np.zeros(m[\"face_indices\"].shape[0])\n", + "for i, fe in enumerate(m[\"features\"][\"surfaces\"]):\n", + " for j in fe[\"face_indices\"]:\n", + " c[j] = i\n", + "\n", + "# Visualize the patches\n", + "mp.plot(m[\"vertices\"], m[\"face_indices\"], c)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Retrieve the surface patch types\n", + "t_map = {\"Plane\": 0, \"Cylinder\": 1, \"Cone\": 2, \"Sphere\": 3, \"Torus\": 4, \"Bezier\": 5,\n", + " \"BSpline\": 6, \"Revolution\": 7,\"Extrusion\": 8, \"Other\": 9}\n", + "\n", + "c1 = np.zeros(m[\"face_indices\"].shape[0])\n", + "for i, fe in enumerate(m[\"features\"][\"surfaces\"]):\n", + " t = t_map[fe[\"type\"]]\n", + " for j in fe[\"face_indices\"]:\n", + " c1[j] = t\n", + "\n", + "# Visualize the patch types\n", + "mp.plot(m[\"vertices\"], m[\"face_indices\"], c1)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Retrieve the surface patch vertices\n", + "c2 = np.zeros(m[\"vertices\"].shape[0])\n", + "for i, fe in enumerate(m[\"features\"][\"surfaces\"]):\n", + " for j in fe[\"vert_indices\"]:\n", + " c2[j] = i\n", + "\n", + "# Visualize the vertices\n", + "mp.plot(m[\"vertices\"], c=c2, shading={\"point_size\": 10.})" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Retrieve the sharp features\n", + "lines = []\n", + "for i, fe in enumerate(m[\"features\"][\"curves\"]):\n", + " if fe[\"sharp\"]:\n", + " for j in range(len(fe[\"vert_indices\"])-1):\n", + " lines.append([fe[\"vert_indices\"][j], fe[\"vert_indices\"][j+1]]) \n", + "\n", + "# Visualize the sharp features \n", + "p = mp.plot(m[\"vertices\"], m[\"face_indices\"], c, return_plot=True)\n", + "p.add_edges(m[\"vertices\"], np.array(lines), shading={\"line_color\": \"red\", \"line_width\": 2.5})" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Machine Learning" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Installation\n", + "\n", + "For the learning examples we use [Pytorch](https://pytorch.org/) and [Pytorch Geometric](https://pytorch-geometric.readthedocs.io/en/latest/) that can be installed according to their documentation." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Import" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import torch\n", + "import torch.nn.functional as F\n", + "from torch.nn import Sequential as Seq, Dropout, Linear as Lin\n", + "import torch_geometric.transforms as T\n", + "from torch_geometric.data import DataLoader\n", + "from torch_geometric.nn import DynamicEdgeConv\n", + "\n", + "from utils import MLP\n", + "from utils import ABCDataset\n", + "import meshplot as mp\n", + "import numpy as np" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Data Loading and Visualization" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "tf_train = T.Compose([\n", + " T.FixedPoints(100),\n", + " T.RandomTranslate(0.002),\n", + " T.RandomRotate(15, axis=0),\n", + " T.RandomRotate(15, axis=1),\n", + " T.RandomRotate(15, axis=2)\n", + "])\n", + "tf_test = T.Compose([\n", + " T.FixedPoints(2000)\n", + "])\n", + "tf_pre = T.NormalizeScale()\n", + "\n", + "typ = \"Curves\"\n", + "train_dataset = ABCDataset(\"data/ml/ABC\", train=True, typ=typ, transform=tf_train, pre_transform=tf_pre)\n", + "test_dataset = ABCDataset(\"data/ml/ABC\", train=False, typ=typ, transform=tf_test, pre_transform=tf_pre)\n", + "\n", + "train_loader = DataLoader(train_dataset, batch_size=5, shuffle=True, num_workers=6)\n", + "test_loader = DataLoader(test_dataset, batch_size=5, shuffle=False, num_workers=6)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "dataset = test_dataset\n", + "#print(len(dataset), dataset.num_classes, dataset.num_node_features)\n", + "\n", + "d = dataset[4]\n", + "v = d.pos.cpu().numpy()\n", + "y = d.y.cpu().numpy()\n", + "\n", + "if typ == \"Curves\":\n", + " p = mp.plot(v, c=-y, shading={\"point_size\": 0.15})\n", + "\n", + "if typ == \"Normals\":\n", + " c = y * 0.5 + 0.5\n", + " c = np.linalg.norm(c, axis=1)\n", + " p = mp.plot(v, c=c, shading={\"point_size\": 0.15}, return_plot=True)\n", + "\n", + " p.add_lines(v, v + y * 0.05)\n", + "p" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Initializing the Network" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "class Net(torch.nn.Module):\n", + " def __init__(self, out_channels, k=30, aggr='max', typ='Curves'):\n", + " super(Net, self).__init__()\n", + "\n", + " self.conv1 = DynamicEdgeConv(MLP([2 * 3, 64, 64]), k, aggr)\n", + " self.conv2 = DynamicEdgeConv(MLP([2 * 64, 64, 64]), k, aggr)\n", + " self.conv3 = DynamicEdgeConv(MLP([2 * 64, 64, 64]), k, aggr)\n", + " self.lin1 = MLP([3 * 64, 1024])\n", + "\n", + " self.mlp = Seq(\n", + " MLP([1024, 256]), Dropout(0.5), MLP([256, 128]), Dropout(0.5),\n", + " Lin(128, out_channels))\n", + "\n", + " def forward(self, data):\n", + " pos, batch = data.pos, data.batch\n", + " x1 = self.conv1(pos, batch)\n", + " x2 = self.conv2(x1, batch)\n", + " x3 = self.conv3(x2, batch)\n", + " out = self.lin1(torch.cat([x1, x2, x3], dim=1))\n", + " out = self.mlp(out)\n", + " if typ == \"Curves\":\n", + " return F.log_softmax(out, dim=1)\n", + " if typ == \"Normals\":\n", + " return F.normalize(out, p=2, dim=-1)\n", + "\n", + "device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\n", + "model = Net(train_dataset.num_classes, k=30).to(device)\n", + "optimizer = torch.optim.Adam(model.parameters(), lr=0.001)\n", + "scheduler = torch.optim.lr_scheduler.StepLR(optimizer, step_size=20, gamma=0.8)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Defining the Train and Test Procedures" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "class Cosine_Loss(torch.nn.Module):\n", + " \n", + " def __init__(self):\n", + " super(Cosine_Loss,self).__init__()\n", + " \n", + " def forward(self, x, y):\n", + " dotp = torch.mul(x, y).sum(1)\n", + " angle = torch.sum(torch.acos(torch.abs(dotp))) / x.shape[0]\n", + " loss = torch.sum(1 - dotp.pow(2)) / x.shape[0]\n", + " return loss, angle\n", + "\n", + "cosine_loss = Cosine_Loss()\n", + "\n", + "\n", + "def train():\n", + " model.train()\n", + "\n", + " total_loss = correct_nodes = total_nodes = 0\n", + " for i, data in enumerate(train_loader):\n", + " data = data.to(device)\n", + " optimizer.zero_grad()\n", + " out = model(data)\n", + " if typ == \"Curves\":\n", + " loss = F.nll_loss(out, data.y)\n", + " if typ == \"Normals\":\n", + " loss, angle = cosine_loss(out, data.y)\n", + " loss.backward()\n", + " optimizer.step()\n", + " total_loss += loss.item()\n", + " if typ == \"Curves\":\n", + " correct_nodes += out.max(dim=1)[1].eq(data.y).sum().item()\n", + " total_nodes += data.num_nodes\n", + " acc = correct_nodes / total_nodes\n", + " if typ == \"Normals\":\n", + " acc = angle.item()*180/np.pi\n", + " \n", + " print('[{}/{}] Loss: {:.4f}, Train Accuracy: {:.4f}'.format(i + 1, len(train_loader), total_loss / 10, acc))\n", + " \n", + " total_loss = correct_nodes = total_nodes = 0\n", + "\n", + "\n", + "def test(loader):\n", + " model.eval()\n", + "\n", + " correct_nodes = total_nodes = 0\n", + " for data in loader:\n", + " data = data.to(device)\n", + " with torch.no_grad():\n", + " out = model(data)\n", + " \n", + " if typ == \"Curves\":\n", + " pred = out.max(dim=1)[1]\n", + " correct_nodes += pred.eq(data.y).sum().item()\n", + " total_nodes += data.num_nodes\n", + " \n", + " if typ == \"Normals\":\n", + " _, angle = cosine_loss(out, data.y)\n", + " correct_nodes += angle.item() * 180 / np.pi\n", + " total_nodes += 1\n", + " \n", + " return correct_nodes / total_nodes" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Running the Training and Saving the Model" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "for epoch in range(1, 2):\n", + " train()\n", + " acc = test(test_loader)\n", + " print('Epoch: {:02d}, Accuracy: {:.4f}'.format(epoch, acc))\n", + " torch.save(model.state_dict(), \"data/ml/ABC/models/%02i_%.2f.dat\"%(epoch, acc))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Loading a Model" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "model = Net(train_dataset.num_classes, k=30)\n", + "model.load_state_dict(torch.load(\"data/ml/ABC/models/m_022_0.9606.dat\", map_location='cpu'));" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Result Visualization" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "loader = test_loader\n", + "\n", + "for d in loader:\n", + " with torch.no_grad():\n", + " out = model(d.to(device))\n", + " \n", + " m = 4\n", + " v = d.pos[d.batch == m].cpu().numpy()\n", + " y = d.y[d.batch == m].cpu().numpy()\n", + " \n", + " \n", + " if typ == \"Curves\":\n", + " e = out.max(dim=1)[1][d.batch == m].cpu().numpy()\n", + " p = mp.subplot(v, c=-y, shading={\"point_size\": 0.15}, s=[1, 2, 0])\n", + " mp.subplot(v, c=-e, shading={\"point_size\": 0.15}, s=[1, 2, 1], data=p)\n", + "\n", + " if typ == \"Normals\":\n", + " n = out[d.batch == m].cpu().numpy()\n", + " nc = n * 0.5 + 0.5\n", + " nc = np.linalg.norm(nc, axis=1)\n", + " c = y * 0.5 + 0.5\n", + " c = np.linalg.norm(c, axis=1)\n", + " p = mp.subplot(v, c=-c, shading={\"point_size\": 0.15}, s=[1, 2, 0])\n", + " mp.subplot(v, c=-nc, shading={\"point_size\": 0.15}, s=[1, 2, 1], data=p)\n", + "\n", + " p.rows[0][0].add_lines(v, v + y * 0.05)\n", + " p.rows[0][1].add_lines(v, v + n * 0.05)\n", + " break\n", + "p" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "acc = test(test_loader)\n", + "print('Accuracy: {:.4f}'.format(acc))" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python (course)", + "language": "python", + "name": "course" + }, + "language_info": { + 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