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Make SuperpixelSegmentation.py, FeatureExtraction.pyPredict.py also work within the context of girder / HistomicsTK. In particular allow them to get their inputs from and write their outputs to girder.
This might be achieved by emulating HistomicsTK/histomicstk/cli/SuperpixelSegmentation.py. Don't forget to output centroid information too. As a short cut, can we download from girder only if the data are not already present? Consult with David about whether this is too much data for girder -- including whether all input SVSs from the biologists would be stored there too.
The text was updated successfully, but these errors were encountered:
Make
SuperpixelSegmentation.py
,FeatureExtraction.py
Predict.py
also work within the context of girder / HistomicsTK. In particular allow them to get their inputs from and write their outputs to girder.This might be achieved by emulating HistomicsTK/histomicstk/cli/SuperpixelSegmentation.py. Don't forget to output centroid information too. As a short cut, can we download from girder only if the data are not already present? Consult with David about whether this is too much data for girder -- including whether all input SVSs from the biologists would be stored there too.
The text was updated successfully, but these errors were encountered: