TrainableSegmentation.Weka_Segmentation$4.run(Weka_Segmentation.java:1461)Īt .report(FutureTask.java:122)Īt .get(FutureTask.java:192)Īt (FeatureStack3D.java:1083)Īt (WekaSegmentation.java:5279)Īt trainableSegmentation.Weka_Segmentation$4.run(Weka_Segmentation.java:1461)Ĭaused by: java.lang.

Does anybody have a suggestion how to get around this? The computers I work on have 32 or 64 Gb ram and as far as I can understand my Fiji is set well above the image size in memory allocation.įredrik WARNING: core mtj jar files are not available as resources to this classloader : Java heap space I think it will be useful when you double-click the file you pasted. the total image stack is only one time point and about 200 MB. Copy the file and paste it into the directory where Weka is located.

use for practice that are small, fit into memory and are well understood. Heap Size: 80.00M Ergonomics Machine Class: server Using VM: Java HotSpot (TM) 64-Bit Server VM all described in man java -Xmxsize Specifies the maximum size (in bytes) of the memory allocation pool in bytes.

I am trying to segment a light sheet image with weka segmentation. You get the complete 23-Ebook set: Statistics Methods for Machine Learning. To fix the error Could not allocate metaspace, add the options -XX:CompressedClassSpaceSizem to set the size of the class metadata memory allocation.

Increase java heap size weka ubuntu