lsst.afw.detection

Module for manipulating detected pixels.

Using lsst.afw.detection

• Using lsst.afw.detection.Footprint to represent detection areas

Contributing

lsst.afw.detection is developed at lsst/afw. You can find Jira issues for this module under the afw component.

Python API reference

lsst.afw.detection Package

Functions

createThreshold(value[, type, polarity])
footprintToBBoxList(arg0)
footprintsToNumpy(catalog[, bbox, shape, ...])	Convert all of the footprints in a catalog into a boolean array.
makeHeavyFootprint(*args, **kwargs)	Overloaded function.
mergeFootprints(arg0, arg1)
mergeHeavyFootprints(*args, **kwargs)	Overloaded function.
setMaskFromFootprintList(mask, footprints, ...)
writeFootprintAsDefects(fd, foot)	Write foot as a set of Defects to fd

Classes

Footprint
FootprintControl
FootprintMergeList
FootprintSet
GaussianPsf
HeavyFootprintCtrl
HeavyFootprintD
HeavyFootprintF
HeavyFootprintI
HeavyFootprintU
InvalidPsfError(arg, *args, **kwds)
MultibandFootprint(bands, singles)	Multiband Footprint class
PeakCatalog
PeakColumnView
PeakRecord
PeakTable
Psf
Threshold

Class Inheritance Diagram

lsst.afw.detection.utils Module

Functions

writeFootprintAsDefects(fd, foot)	Write foot as a set of Defects to fd
footprintsToNumpy(catalog[, bbox, shape, ...])	Convert all of the footprints in a catalog into a boolean array.