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 https://github.com/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)
makeHeavyFootprint(*args, **kwargs)	Overloaded function.
mergeFootprints(arg0, arg1)
mergeHeavyFootprints(*args, **kwargs)	Overloaded function.
setMaskFromFootprintList(mask, footprints, ...)

Classes

Footprint
FootprintControl
FootprintMergeList
FootprintSet
GaussianPsf
HeavyFootprintCtrl
HeavyFootprintD
HeavyFootprintF
HeavyFootprintI
HeavyFootprintU
MultibandFootprint(filters, 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