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