Train_separate_job #6
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because axes may be wrong
n2v expects len(tiles) to match len(config['axes'])
n2v data generator normalizes the image during loading
n2v prediction does not like a time axis
to make testing easier and code more flexible
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moved training into separate job. That way, the main n2v job can run on the romeo partition and will usually be allocated resources quicker.
the training job itself now has more cores and longer wall time to ensure that training works.