Hi all image.sc community!
I am looking for the right tool to segment my images.
I usually like
ilastik, because allows specifying classes by direct drawing on image while training a random forest, but right now I need to train the model on a GPU (w/o GUI). I am then looking at “U-net”like models, but the ones I found are supervised by a mask in which I need to specify the class of every pixels, whereas I’d like to specify the classes only of a few pixels (in a similar way I do w ilastik).
Essentially, I would like to annotate a few landmarks in images (in local, for example by drawing on image), then transfer images and annotations on GPU cluster to train a segmentation model on it.
Which model would it be your first choice for this task?