BaselineUtilsF¶
- class lsst.meas.deblender.BaselineUtilsF¶
Bases:
pybind11_object
Attributes Summary
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 ¶