ViSUS Viewer - Revision history

Admin at 18:01, 23 August 2018

2018-08-23T18:01:35Z

2018-06-04T22:58:06Z

‎Use Collection of IDX datasets

2018-06-04T22:57:25Z

2018-06-04T22:33:14Z

‎Scripting Node

2018-06-04T22:32:48Z

‎Scripting Node

2018-06-04T22:32:21Z

‎Collection of IDX datasets

2018-06-04T22:31:54Z

‎Examples using a vector field

2018-06-04T22:31:36Z

‎Example using 2D images

2018-06-04T22:31:19Z

‎Example using 2D images =

2018-06-04T22:31:07Z

‎Example using 2D images

@@ Line 177: / Line 177: @@
 In this example we created an array that is made of 4 components.
-We can map those four component to the RGBA channels of our palette enabling "Enable palette" on the Render Node.
+We can map those four component to the RGBA channels of our palette enabling "Enable palette" on the Render Node. This allows to control the visualization of B using the data in A simply varying the alpha channel in the Palette Node.
 Here are some other examples:
 *[[MIDX examples]]

@@ Line 143: / Line 143: @@
 [[File:lic_banded.png|350px|center]]
-== Use Collection of IDX datasets ==
+== Use Collections of IDX datasets ==
 Sometimes can be useful to define a collection of IDX dataset to use for interactive visualization or analysis.

@@ Line 6: / Line 6: @@
 In the window you have:
 * a toolbar that contains the most basic options
-* a left sidebar that shows the tree of datasets and visualization/computing nodes used in your workflow. Each element in this sidebar is called *node*
+* a left sidebar that shows the tree of datasets and visualization/computing nodes used in your workflow. Each element in this sidebar is called '''node'''
 * the canvas, where you can navigate and interact with the data

@@ Line 93: / Line 93: @@
 ==== Scripting Node ====
-The scripting node allows to perform operations on the data using *python*.
+The scripting node allows to perform operations on the data using '''python'''.
 This node can be added to any other node, for example a [[Volume Node]] (i.e. to produce a volume rendering of the data) or a [[Slice Node]].

@@ Line 93: / Line 93: @@
 ==== Scripting Node ====
-The scripting node allows to perform operations on the data using a javascript-like syntax.
+The scripting node allows to perform operations on the data using *python*.
 This node can be added to any other node, for example a [[Volume Node]] (i.e. to produce a volume rendering of the data) or a [[Slice Node]].

@@ Line 111: / Line 111: @@
 [[File:david_eye_emboss.png|350px|center]]
-== Examples using a vector field ==
+===== Examples using a vector field =====
 In the following examples we will use a vector field from a large scale combustion dataset.
@@ Line 118: / Line 118: @@
 A Volume Node for a vector field will visualize a volume rendering as following (using a "Gamma" palette):
-[[File:flame_vfield.png|350px]]
+[[File:flame_vfield.png|350px|center]]
 Since the data has 3 components the default visualization uses the 3 components as RGB channels.

@@ Line 107: / Line 107: @@
 [[File:david_eye.png|350px|center]]
-Using a "2D/Emboss" script you will get something like the following:
+Using a "2D/Emboss" filter script you will get something like the following:
 [[File:david_eye_emboss.png|350px|center]]

@@ Line 97: / Line 97: @@
 This node can be added to any other node, for example a [[Volume Node]] (i.e. to produce a volume rendering of the data) or a [[Slice Node]].
-===== Example using 2D images ======
+===== Example using 2D images =====
 Using the Gigapixel David dataset at the URL: http://atlantis.sci.utah.edu/mod_visus?dataset=david