SDSC Expanse Notebook: Image_Processing

This README file provides instructions for Expanse users on learning about the PILLOW package, authored by Leo Gu.

The Python Imaging Library (PILLOW) adds image processing capabilities to your Python interpreter. This library provides extensive file format support, an efficient internal representation, and fairly powerful image processing capabilities. The core image library is designed for fast access to data stored in a few basic pixel formats. It should provide a solid foundation for a general image processing tool.

This chapter will give you an introduction to PILLOW packages. Enjoy!
Listof Content

• Import Module
• Launch Galyleo
• Environment Modules
• Install Modules
• Location
• Submit Ticket

Import Module:

• Image
• ImageFilter
• ImageEhance
• Sys

Launch Galyleo

For specific information about launching Galyleo, please refer to this GitHub repository.

Environment Modules

By utilizing --env-modules, we can load any software installed in Expanse. For instance, executing this command line will load CPU modules and Anaconda3 within the Jupyter session.

• CPU: --env-modules cpu/0.17.3b,anaconda3

  galyleo launch --account abc123 --partition shared --cpus 2 --memory 4 --time-limit 00:30:00 --env-modules cpu/0.17.3b,anaconda3/2021.05
  

Install Modules

To run pillow notebook, we do not need to install additional packages.

Location

Image_Processing
├──pillow.ipynb
├── README.md

Submit Ticket

If you find anything that needs to be changed, edited, or if you would like to provide feedback or contribute to the notebook, please submit a ticket by contacting us at:

Email: consult@sdsc.edu

We appreciate your input and will review your suggestions promptly!