Difference between revisions of "Learnathon 2018"

(Wednesday: Add ImageJ Server session links)
(ImageJ Server: Add link to imagej-server Jupyter notebook)
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* https://github.com/imagej/imagej-server
 
* https://github.com/imagej/imagej-server
 
* [https://github.com/imagej/imagej.py/tree/master/imagej/server imagej.server Python module]
 
* [https://github.com/imagej/imagej.py/tree/master/imagej/server imagej.server Python module]
 +
* [https://github.com/CellProfiler/notebooks/blob/master/cellprofiler_with_imagej_server.ipynb Example Jupyter notebook using imagej-server]
 
* [http://forum.imagej.net/t/remote-hpc-cluster-parallelization-support-in-scijava-plugins/10755 Remote HPC cluster parallelization support in SciJava plugins]
 
* [http://forum.imagej.net/t/remote-hpc-cluster-parallelization-support-in-scijava-plugins/10755 Remote HPC cluster parallelization support in SciJava plugins]

Revision as of 10:05, 6 June 2018

The second DAIS Learnathon took place from June 3 until June 9 2018.
This page is the Learnathon Wiki page of last years event!

Schedule

See this page!

Setting up your system

Check if you have this set up:

  • Eclipse (Neon)
  • bash / zsh
  • GIT
  • Maven
  • Gitter

Monday

Intro session...

See slides!

Start a Maven project with Eclipse

Slides online:

Git repos to clone:

  • git@github.com:imagej/example-imagej-command.git

Notes: In case you want to switch to the legacy UI (ImageJ 1), you change the dependencies section in your POM to...

<dependencies>
	<dependency>
		<groupId>net.imagej</groupId>
		<artifactId>imagej</artifactId>
	</dependency>
	<dependency>
		<groupId>net.imagej</groupId>
		<artifactId>imagej-legacy</artifactId>
	</dependency>
</dependencies>

Introduction to ImgLib2

Git repos to clone:

(Slides are contained in the repository.)


Tuesday

ImageJ2 and SciJava

ImageJ2 Ops

ImageJ Legacy

The ImageJ Legacy Course covered the topics: images, tables, regions of interest and command execution.

Jupyter Notebooks

Git

  • See the Git page!

Wednesday

KNIME Usage

  • Download and install the KNIME Analytics Platform from here

KNIME Development Introduction

Developing ImageJ Ops

ImageJ Server