__getitem__(self, subfilter) | lsst.pipe.tasks.dcrModel.DcrModel | |
__init__(self, modelImages, filterInfo=None) | lsst.pipe.tasks.dcrModel.DcrModel | |
__len__(self) | lsst.pipe.tasks.dcrModel.DcrModel | |
__setitem__(self, subfilter, maskedImage) | lsst.pipe.tasks.dcrModel.DcrModel | |
assign(self, dcrSubModel, bbox=None) | lsst.pipe.tasks.dcrModel.DcrModel | |
buildMatchedTemplate(self, warpCtrl, exposure=None, visitInfo=None, bbox=None, wcs=None, mask=None) | lsst.pipe.tasks.dcrModel.DcrModel | |
calculateNoiseCutoff(self, maskedImage, statsCtrl, regularizeSigma, convergenceMaskPlanes="DETECTED", mask=None) | lsst.pipe.tasks.dcrModel.DcrModel | |
clampModel(self, subfilter, newModel, bbox, statsCtrl, regularizeSigma, modelClampFactor, convergenceMaskPlanes="DETECTED") | lsst.pipe.tasks.dcrModel.DcrModel | |
conditionDcrModel(self, subfilter, newModel, bbox, gain=1.) | lsst.pipe.tasks.dcrModel.DcrModel | |
dcrNumSubfilters | lsst.pipe.tasks.dcrModel.DcrModel | |
filterInfo | lsst.pipe.tasks.dcrModel.DcrModel | |
fromDataRef(cls, dataRef, dcrNumSubfilters) | lsst.pipe.tasks.dcrModel.DcrModel | |
fromImage(cls, maskedImage, dcrNumSubfilters, filterInfo=None) | lsst.pipe.tasks.dcrModel.DcrModel | |
getBBox(self) | lsst.pipe.tasks.dcrModel.DcrModel | |
getReferenceImage(self, bbox=None) | lsst.pipe.tasks.dcrModel.DcrModel | |
modelImages | lsst.pipe.tasks.dcrModel.DcrModel | |
regularizeModel(self, bbox, mask, statsCtrl, regularizeSigma, clampFrequency, convergenceMaskPlanes="DETECTED") | lsst.pipe.tasks.dcrModel.DcrModel | |