BaselineUtilsF

class lsst.meas.deblender.BaselineUtilsF

Bases: pybind11_object

Attributes Summary

ASSIGN_STRAYFLUX

STRAYFLUX_NEAREST_FOOTPRINT

STRAYFLUX_R_TO_FOOTPRINT

STRAYFLUX_TO_POINT_SOURCES_ALWAYS

STRAYFLUX_TO_POINT_SOURCES_WHEN_NECESSARY

STRAYFLUX_TRIM

Methods Summary

apportionFlux(arg0, arg1, arg2, arg3, arg4, ...)

buildSymmetricTemplate(arg0, arg1, arg2, ...)

getSignificantEdgePixels(img, sfoot, thresh)

hasSignificantFluxAtEdge(img, sfoot, thresh)

makeMonotonic(img, pk)

medianFilter(img, outimg, halfsize)

symmetrizeFootprint(foot, cx, cy)

Attributes Documentation

ASSIGN_STRAYFLUX = 1
STRAYFLUX_NEAREST_FOOTPRINT = 16
STRAYFLUX_R_TO_FOOTPRINT = 8
STRAYFLUX_TO_POINT_SOURCES_ALWAYS = 4
STRAYFLUX_TO_POINT_SOURCES_WHEN_NECESSARY = 2
STRAYFLUX_TRIM = 32

Methods Documentation

static apportionFlux(arg0: lsst.afw.image.maskedImage.MaskedImageF, arg1: lsst.afw.detection.Footprint, arg2: List[lsst.afw.image.image.ImageF], arg3: List[lsst.afw.detection.Footprint], arg4: lsst.afw.image.image.ImageF, arg5: List[bool], arg6: List[int], arg7: List[int], arg8: int, arg9: float) tuple
static buildSymmetricTemplate(arg0: lsst.afw.image.maskedImage.MaskedImageF, arg1: lsst.afw.detection.Footprint, arg2: lsst.afw.detection.PeakRecord, arg3: float, arg4: bool, arg5: bool) tuple
static getSignificantEdgePixels(img: lsst.afw.image.image.ImageF, sfoot: lsst.afw.detection.Footprint, thresh: float) lsst.afw.detection.Footprint
static hasSignificantFluxAtEdge(img: lsst.afw.image.image.ImageF, sfoot: lsst.afw.detection.Footprint, thresh: float) bool
static makeMonotonic(img: lsst.afw.image.image.ImageF, pk: lsst.afw.detection.PeakRecord) None
static medianFilter(img: lsst.afw.image.image.ImageF, outimg: lsst.afw.image.image.ImageF, halfsize: int) None
static symmetrizeFootprint(foot: lsst.afw.detection.Footprint, cx: int, cy: int) lsst.afw.detection.Footprint