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en:classifier:collage

Collage classifier

An applet is used to display a collage of images found in the collection. Treated as a browsing classifier

The following table lists all of the configuration options available for Collage.

OptionDescriptionValue
Collage Options
buttonname The label for the classifier screen and button in navigation bar. Default: Collage
geometry The dimensions of the collage canvas. For a canvas 600 pixels wide by 400 pixels high, for example, specify geometry as 600x400 Default: 600x300
verbosity Controls the quantity of output. 0=none, 3=lots. Default: 5
maxDepth Images for collaging are drawn from mirroring the underlying browse classifier. This controls the maximum depth of the mirroring process. Default: 500
maxDisplay The maximum number of images to show in the collage at any one time. Default: 25
imageType Used to control, by expressing file name extensions, which file types are used in the collage. A list of file name extensions is separated by the percent (%) symbol. Default: .jpg%.png
bgcolor The background color of the collage canvas, specified in hexadecimal form (for example #008000 results in a forest green background). Default: #96c29a
refreshDelay Rate, in milliseconds, that the collage canvas is refreshed. Default: 1500
isJava2 Used to control which run-time classes of Java are used. More advanced version of Java (i.e. Java 1.2 onwards) include more sophisticated support for controlling transparency in images, this flag helps control what happens; however the built-in Java runtime for some browsers is version 1.1. The applet is designed to, by default, auto-detect which version of Java the browser is running and act accordingly. Default: auto
imageMustNotHave Used to suppress images that should not appear in the collage, such as image buttons that make up the navigation bar. Default: hl=%x=%gt=%gc=%.pr
caption Optional captions to display below the collage canvas.
Options Inherited from BaseClassifier
buttonname The label for the classifier screen and button in navigation bar. The default is the metadata element specified with -metadata.
no_metadata_formatting Don't do any automatic metadata formatting (for sorting.)
builddir Where to put the built indexes.
outhandle The file handle to write output to. Default: STDERR
verbosity Controls the quantity of output. 0=none, 3=lots. Default: 2
en/classifier/collage.txt · Last modified: 2023/03/13 01:46 by 127.0.0.1