Giter Club home page Giter Club logo

geo_image_processing_tutorial's Introduction

Geologic Image Processing Tutorial - Transform 2020

You can find a recording of this tutorial at: https://www.youtube.com/watch?v=3ZvRVB6Eeq4&feature=youtu.be

This repository contains the material for the geologic image processing tutorial given on June 11th, 2020 at the Transform 2020 virtual conference.

There's also an upcoming workshop held by the Nordic Sedimentary Research Group that will use this tutorial.

Binder Setup

If you don't have a local python setup yet, you can run this tutorial in your browser by clicking Binder

However, there is a limit to how many people can use binder for this repo at any given time. If you're comfortable running things locally, consider following the instructions below. Getting a local python installation set up will also allow you to work with your own data.

Conda Setup

The easiest way to get a complete local installation is to use Anaconda. You can find an overview and download link on their main page as well as more complete installation instructions.

To create the conda environment for this tutorial run:

conda env create -f environment.yml

The environment is called t20-thu-images to match the Transform2020 slack channel and avoid conflicts with other tutorial's environment names. To switch to that environment, you'd use:

conda activate t20-thu-images

or select the environment when starting anaconda from the gui launcher. After that, you'd launch jupyter notebook and select the first notebook in this tutorial.

Manual Setup

Alternatively, the requirements for this are quite minimal, and you may already have what you need installed. This depends on:

  • rasterio
  • matplotlib
  • scipy
  • scikit-image
  • jupyter

Any relatively recent version of the above libraries should be fine. We're not depending on any bleeding-edge functionality. In principle, these examples should work with python 2.7 as well as 3.5 or greater. However, things have not been tested extensively with python 2.7, and I'd recommend using python 3.5 or greater if you're setting things up from scratch.

geo_image_processing_tutorial's People

Contributors

joferkington avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.