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General Rules and Instructions

Plagiarism Note and Late Policy

Copying code (either from other students or from external sources) is strictly prohibited! We will be using automatic anti-plagiarism tools, and any violation of this rule will lead to expulsion from the class. Late submissions will generally not be accepted. In case of serious illness or emergency, please notify Daniele and provide a relevant medical certificate.

Provided Libraries

For each assignment, you will use the geometry processing library libigl, which includes implementations of many of the algorithms presented in class. In particular you will be using the python bindings of igl.

The libigl library includes a set of tutorials, an introduction to which can be found in the two previous links. You are advised to look over the relevant tutorials before starting the implementation for the assignments; you are also encouraged to examine the source code of all the library functions that you use in your code to see how they were implemented.

No libraries apart from libigl, numpy, meshplot, and scipy are permitted unless permission is granted in advance.

Video Report

For every assignment, you have to provide a video report of a maximal lenght of 3 minutes. The video should contain either captions explaining what you did and the results of your assignment or a voice commentary. To prepare the video, I recommend to use either the recording option in NYU Zoom (you can create a call with only you, share the window with your browser, and then press record) or OBS (https://obsproject.com/). The video should be in a format playable using the VLC player (https://www.videolan.org/vlc/).

Installing igl in Python

Before we can begin, you must install igl, meshplot, and jupiter trough conda-forge

conda install -c conda-forge igl
conda install -c conda-forge meshplot
conda install scipy
conda install jupyter

Using jupyter notebook

Launch the notebook

jupyter notebook

Using jupyter lab

You need first install nodejs with version >= 12.0.0, e.g.

conda install nodejs==14.7.0 -c conda-forge

Next install jupyter lab with version < 3.0, e.g.

conda install -c conda-forge jupyterlab==2.2.0

Then install two jupyter lab extensions

jupyter labextension install jupyter-threejs
jupyter labextension install @jupyter-widgets/jupyterlab-manager

Now you will be able to launch the jupyter lab and see meshplot displays.

jupyter lab

Or you can simply download the file environment.yml uploaded to create conda env and all these should have already been set up. The first line of the yml file sets the environment's name.

conda env create -f environment.yml

To install the package manager conda we refer to its website.