ML Identification of Image artifacts in DES exposures
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License: MIT License
ML Identification of Image artifacts in DES exposures
License: MIT License
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A possible way to do this could be to use skimage. It can do decent image segmentation (although I tested it on data that was much simpler than the data we're using it on)
some examples are here: http://www.scipy-lectures.org/packages/scikit-image/#image-segmentation
Preferably in such a way that we can use the GPUs to our advantage. Might be obnoxious given SLAC permissions (my SLAC laptop refused to install tensorflow via pip). I anticipate a few hiccups here.
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