GPU accelerated image processing for everyone

CLIJ2 home


Applies a Weka model using functionality of Fijis Trainable Weka Segmentation plugin.

It takes a Results Table, sorts its columns by name alphabetically and uses it as extracted features (rows correspond to feature vectors) and applies a pre-trained a Weka model. Take care that the table has been generated in the sameway as for training the model!

Categories: Segmentation, Machine Learning

Availability: Available in Fiji by activating the update sites clij and clij2. This function is part of clijx-weka_-

Usage in ImageJ macro

Ext.CLIJx_applyWekaToTable(String predictionColumnName, String loadModelFilename);

Back to CLIJ2 reference Back to CLIJ2 documentation