this trainable Weka scripting is quite a nice tool and I’m really happy how fast one can produce quite reasonable segmentations. However, sometimes users would get an error ‘Could not apply Classifier’ and some strange errors (like OutOfBoundException in the log. Since I’m also experiencing that Weka scripts sometime happen to fail and sometimes works.
So my first question is to you experienced guys out there: am I correct, that the source of the errors are usually the input images for training/testing? Are there any cross-influences with filters which are only compatible to certain image formats?
So, I experienced dependency on image size (pixel x pixel; maybe an memory issue), image depth (8-bit …32-bit) and binary/RGB and image format (e.g. png vs. tif, but not sure on that). However, I’m really just trying to read symptoms. Maybe some of you know more about the limitations? For me it’s quite a pitty and cumbersome to find out what works and not, because I got different batches of images (with different formats and settings e.g.), but basically with similar image content/structures. Also I couldn’t find out a good strategy to convert 'error’images to 'working’images.
Maybe it would also be a good opportunity and try to collect all the experiences with the script in this new topic - together with you guys! So one could put that on the wiki later on.