cadic/pmeshlab repository overview

⁠
pmeshlab

Modules⁠ • Installing the application⁠ • Makefile commands⁠ • Environments⁠ • Running the application⁠ Ressources⁠

pmeshlab is a Python package that provides two high-level features:

• A simple Mesh processor
• A list of tool to convert mesh files into point cloud

You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend ZakuroCache integration.

⁠Modules

At a granular level, pmeshlab is a library that consists of the following components:

⁠Installing the application

To clone and run this application, you'll need the following installed on your computer:

• Git⁠
• Docker Desktop
  • Install Docker Desktop on Mac⁠
  • Install Docker Desktop on Windows⁠
  • Install Docker Desktop on Linux⁠
• Python⁠

Install the package:

# Clone this repository and install the code
git clone https://github.com/JeanMaximilienCadic/pmeshlab

# Go into the repository
cd pmeshlab

⁠Makefile commands

Exhaustive list of make commands:

install_wheels
sandbox_cpu
sandbox_gpu
build_sandbox
push_environment
push_container_sandbox
push_container_vanilla
pull_container_vanilla
pull_container_sandbox
build_vanilla
build_wheels
auto_branch 

⁠Environments

⁠Docker

To build and run the docker image

make build
make sandbox

⁠PythonEnv

make install_wheels

⁠Ressources

• Vanilla: https://en.wikipedia.org/wiki/Vanilla_software⁠
• Sandbox: https://en.wikipedia.org/wiki/Sandbox_(software_development)⁠
• All you need is docker: https://www.theregister.com/2014/05/23/google_containerization_two_billion/⁠
• Dev in containers : https://code.visualstudio.com/docs/remote/containers⁠
• Delta lake partitions: https://k21academy.com/microsoft-azure/data-engineer/delta-lake/⁠