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pymascdb

  • Installation
  • Data Download
  • Data Description
    • MASCDB triplet data
    • MASCDB camera-wise data
    • MASCDB Zarr store
  • Tutorials
    • Startup with pymascdb
    • MASCDB precooked retrievals
    • Classification training set from Praz et al, 2017
    • Snowflake images
  • Contributors Guidelines
  • Maintainers Guidelines
  • Project Contributors
  • MASCDB API
    • mascdb package
  • Repository
  • Suggest edit
  • Open issue
  • .rst

Welcome to MASCDB documentation!

Contents

  • Welcome to MASCDB documentation!
  • Documentation
  • Indices and tables

Welcome to MASCDB documentation!#

mascdb is a Python library that offers a simple and intuitive API to manipulate the data and the images of a database of snowflake and snow crystal pictures collected by a MASC (Multi-Angle Snowflake Camera) in various locations worldwide.

Note

This project is under active development.

Documentation#

  • Installation
    • Virtual Environment Creation
    • Installation for standard users
    • Installation for contributors
    • Optional dependencies
    • Analyze MASCDB data on Jupyter Notebooks
  • Data Download
  • Data Description
    • MASCDB triplet data
    • MASCDB camera-wise data
    • MASCDB Zarr store
  • Tutorials
    • Startup with pymascdb
    • MASCDB precooked retrievals
    • Classification training set from Praz et al, 2017
    • Snowflake images
  • Contributors Guidelines
    • Issue Reporting Guidelines
    • Contributing process
    • Code review checklist
    • Credits
  • Maintainers Guidelines
    • Core contributors
    • Versions Guidelines
    • Documentation
    • Package Release
    • Reviewing Process
    • Continuous Integration
  • Project Contributors
  • MASCDB API
    • mascdb package

Indices and tables#

  • Index

  • Module Index

  • Search Page

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Installation

Contents
  • Welcome to MASCDB documentation!
  • Documentation
  • Indices and tables

By Gionata Ghiggi, Jacopo Grazioli

© Copyright LTE - Environmental Remote Sensing Lab - EPFL.