AHM2013-Simple-ITK - Revision history

Ibanez: /* Attendee Preparation */

2013-01-08T23:04:49Z

Attendee Preparation

2013-01-08T21:59:42Z

Run the environment

2013-01-08T20:55:38Z

Fixed misspelling

2013-01-08T17:28:57Z

Attendee Preparation

2013-01-08T03:55:18Z

Install SimpleITK 0.6rc1

2013-01-08T03:54:28Z

Summary

2013-01-08T03:47:28Z

Summary

2013-01-08T03:47:16Z

Background

2013-01-08T01:31:51Z

Background

2013-01-08T01:25:11Z

Install SimpleITK 0.6rc1

← Older revision		Revision as of 23:04, 8 January 2013
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	== Attendee Preparation ==		== Attendee Preparation ==
		+
		+	You can set up your own environment or you can use a server that has been set up for the group in the conference room.
		+
		+	=== Using the Common Server ===
		+
		+	* Look for the WiFi : "aleph"
		+	* When asked for a security key, use: d9c57e4ea7
		+	* Once connected to the Wifi open your Web browser
		+	* Go to the URL: http://10.42.0.1
		+	* Select the user number that has been assigned to you.
		+	* At that point you should see an iPython notebook interface in your web browser.
		+
		+	=== Setting up your Own Environment ===
		+
		+	Follow the instructions below to set up your own environment.

	Attendees are encouraged to setup a python environment to follow along during this session.		Attendees are encouraged to setup a python environment to follow along during this session.

@@ Line 54: / Line 54: @@
 To launch:
+ cd SimpleITK-Notebooks
   ~/sitkpy/bin/ipython notebook --pylab=inline
 Note: On Linux platforms you may be able to obtain many of these packages as system packages which may suffice ( Ubuntu 12+).
 Note: On Window platforms some of these packages should be obtained as binary downloads and installed.

@@ Line 21: / Line 21: @@
 Under the best of circumstances (tested on OSX 10.8 and 10.7.5) this environment can be setup with the following:
-  sudo pip install virutalenv
+  sudo pip install virtualenv
   virtualenv ~/sitkpy --no-site-packages
   ~/sitkpy/bin/pip install ipython

@@ Line 19: / Line 19: @@
 Attendees are encouraged to setup a python environment to follow along during this session.
-Under the best of circumstances (tested on OSX 10.8) this environment can be setup with the following:
+Under the best of circumstances (tested on OSX 10.8 and 10.7.5) this environment can be setup with the following:
   sudo pip install virutalenv
@@ Line 25: / Line 25: @@
   ~/sitkpy/bin/pip install ipython
   ~/sitkpy/bin/pip install ipython[zmq]
-  ~/sitkpy/bin/pip install Tornado
+  ~/sitkpy/bin/pip install tornado
   ~/sitkpy/bin/pip install numpy
   ~/sitkpy/bin/pip install matplotlib

@@ Line 36: / Line 36: @@
 Use easy_install to install or upgrade:
-  ~/sitkpy/bin/easy_install -U
+  ~/sitkpy/bin/easy_install -U SimpleITK-0.6.0.rc1_gc9d89-py$(python version)-$(OS)-$(arch).egg
 If there is not a built distribution for your system you will need to build SimpleITK:

@@ Line 13: / Line 13: @@
 == Summary ==
-This presentation will consist of a slide presentation covering the fundamental concepts and style of SimpleITK. Along with the numerous Python specific features available. Then interactive demonstration of SimpleITK with be done in the iPython notebook environment utilizing the pylab functionality to demonstrate algorithms in ITK along with Pythonic work flows.
+This session will consists of interactive demonstrations of the fundamental concepts and style of SimpleITK along with showing the latest features in the 0.6 release. The presentation will make use of matplotlib and the Scientific Python environment to illustrate a Pythonic workflow to perform common image tasks and segmentation.
 == Attendee Preparation ==

← Older revision		Revision as of 03:47, 8 January 2013
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	This presentation will consist of a slide presentation covering the fundamental concepts and style of SimpleITK. Along with the numerous Python specific features available. Then interactive demonstration of SimpleITK with be done in the iPython notebook environment utilizing the pylab functionality to demonstrate algorithms in ITK along with Pythonic work flows.		This presentation will consist of a slide presentation covering the fundamental concepts and style of SimpleITK. Along with the numerous Python specific features available. Then interactive demonstration of SimpleITK with be done in the iPython notebook environment utilizing the pylab functionality to demonstrate algorithms in ITK along with Pythonic work flows.
−

	== Attendee Preparation ==		== Attendee Preparation ==

@@ Line 5: / Line 5: @@
 == Background ==
-SimpleITK is an abstraction layer on top of ITK which provides Python bindings for many of the algorithms in ITK. The tool is under active development and recent additions have focus on providing a more Pythonic interface to Image class, numerous additional algorithms, and the addition of transforms and interpolators.
+SimpleITK is an abstraction layer on top of ITK which provides Python bindings for many of the algorithms in ITK. The tool is under active development and recent additions have focus on providing a more Pythonic interface to the Image class, numerous additional algorithms, along with the addition of transforms and interpolators.
-SimpleITK is a build option in Slicer3D when using ITKv4. It can provide access to many powerful algorithms to Slicer as python modules or image manipulation via python interpreter.
+SimpleITK is currently a build option in Slicer3D when using ITKv4. It can provide access to many powerful algorithms in Slicer as python modules or SimpleITK can be used in the Python Interactor for image manipulation and segmentation.
-Version 0.6.0rc01 is scheduled available for binary download on January 6th.
+Version 0.6.0rc01 is currently available as a binary download.
 == Summary ==

@@ Line 42: / Line 42: @@
 If there is not a built distribution for your system you will need to build SimpleITK:
 http://www.itk.org/Wiki/ITK_Release_4/SimpleITK/GettingStarted#Build_It_Yourself
 ===Download the course material===