CLIJ2
GPU accelerated image processing for everyone
applyWekaToTable
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_-0.32.0.1.jar.
Usage in ImageJ macro
Ext.CLIJx_applyWekaToTable(String predictionColumnName, String loadModelFilename);