to do tomorrow

[dalessioluca]

Merge 60 into 55 and then 55 into master

USE THE DATALOADER I HAVE.
JUST SAVE ON CPU AND LOAD TO GPU EVERY BATCH
put the result of the tiling function on CPU if necessary

LOAD CKPT FROM HERE USE PRETRAINED TO OBTAIN GOOD SEGMENTATION
ld-results-bucket/merfish_june25_v7

graphclustering 65
#TODO: Compute median density of connected components so that resolution parameter is about 1
self.reference_density = AUCH

NAMEDTUPLE 151

#TODO: this might be too slow. Eliminate torch.bincount.
new_dict = self.params
new_dict["filter_by_size"] = (min_size, max_size)
new_membership = old_2_new[self.membership]
return self._replace(membership=new_membership, params=new_dict, sizes=torch.bincount(new_membership))