DynamicDetectionConfig

class lsst.meas.algorithms.DynamicDetectionConfig

Bases: lsst.meas.algorithms.SourceDetectionConfig

Configuration for DynamicDetectionTask

Attributes Summary

adjustBackground Fiddle factor to add to the background; debugging only (float, default 0.0)
background Background re-estimation; ignored if reEstimateBackground false (ConfigurableInstance, default <class 'lsst.meas.algorithms.subtractBackground.SubtractBackgroundConfig'>)
combinedGrow Grow all footprints at the same time? This allows disconnected footprints to merge.
doBackgroundTweak Tweak background level so median PSF flux of sky objects is zero? (bool, default True)
doTempLocalBackground Enable temporary local background subtraction? (see tempLocalBackground) (bool, default True)
doTempWideBackground Do temporary wide (large-scale) background subtraction before footprint detection? (bool, default False)
history
includeThresholdMultiplier Include threshold relative to thresholdValue (float, default 1.0)
isotropicGrow Pixels should be grown as isotropically as possible (slower) (bool, default False)
minNumSources Minimum number of sky sources in statistical sample; if below this number, we refuse to modify the threshold.
minPixels detected sources with fewer than the specified number of pixels will be ignored (int, default 1)
nPeaksMaxSimple The maximum number of peaks in a Footprint before trying to replace its peaks using the temporary local background (int, default 1)
nSigmaForKernel Multiple of PSF RMS size to use for convolution kernel bounding box size; note that this is not a half-size.
nSigmaToGrow Grow detections by nSigmaToGrow * [PSF RMS width]; if 0 then do not grow (float, default 2.4)
prelimThresholdFactor Fraction of the threshold to use for first pass (to find sky objects) (float, default 0.5)
reEstimateBackground Estimate the background again after final source detection? (bool, default True)
returnOriginalFootprints Grow detections to set the image mask bits, but return the original (not-grown) footprints (bool, default False)
skyObjects Generate sky objects (ConfigurableInstance, default <class 'lsst.meas.algorithms.skyObjects.SkyObjectsConfig'>)
statsMask Mask planes to ignore when calculating statistics of image (for thresholdType=stdev) (List, default ['BAD', 'SAT', 'EDGE', 'NO_DATA'])
tempLocalBackground A local (small-scale), temporary background estimation step run between detecting above-threshold regions and detecting the peaks within them; used to avoid detecting spuerious peaks in the wings.
tempWideBackground A wide (large-scale) background estimation and removal before footprint and peak detection.
thresholdPolarity specifies whether to detect positive, or negative sources, or both (str, default 'positive')
thresholdType specifies the desired flavor of Threshold (str, default 'stdev')
thresholdValue Threshold for footprints; exact meaning and units depend on thresholdType.

Methods Summary

compare(other[, shortcut, rtol, atol, output]) Compare this configuration to another Config for equality.
formatHistory(name, **kwargs) Format a configuration field’s history to a human-readable format.
freeze() Make this config, and all subconfigs, read-only.
items() Get configurations as (field name, field value) pairs.
iteritems() Iterate over (field name, field value) pairs.
iterkeys() Iterate over field names
itervalues() Iterate over field values.
keys() Get field names.
load(filename[, root]) Modify this config in place by executing the Python code in a configuration file.
loadFromStream(stream[, root, filename]) Modify this Config in place by executing the Python code in the provided stream.
loadFromString(code[, root, filename]) Modify this Config in place by executing the Python code in the provided string.
names() Get all the field names in the config, recursively.
save(filename[, root]) Save a Python script to the named file, which, when loaded, reproduces this config.
saveToStream(outfile[, root, skipImports]) Save a configuration file to a stream, which, when loaded, reproduces this config.
saveToString([skipImports]) Return the Python script form of this configuration as an executable string.
setDefaults() Subclass hook for computing defaults.
toDict() Make a dictionary of field names and their values.
update(**kw) Update values of fields specified by the keyword arguments.
validate() Validate the Config, raising an exception if invalid.
values() Get field values.

Attributes Documentation

adjustBackground

Fiddle factor to add to the background; debugging only (float, default 0.0)

background

Background re-estimation; ignored if reEstimateBackground false (ConfigurableInstance, default <class 'lsst.meas.algorithms.subtractBackground.SubtractBackgroundConfig'>)

combinedGrow

Grow all footprints at the same time? This allows disconnected footprints to merge. (bool, default True)

doBackgroundTweak

Tweak background level so median PSF flux of sky objects is zero? (bool, default True)

doTempLocalBackground

Enable temporary local background subtraction? (see tempLocalBackground) (bool, default True)

doTempWideBackground

Do temporary wide (large-scale) background subtraction before footprint detection? (bool, default False)

history
includeThresholdMultiplier

Include threshold relative to thresholdValue (float, default 1.0)

Valid Range = [0.0,inf)

isotropicGrow

Pixels should be grown as isotropically as possible (slower) (bool, default False)

minNumSources

Minimum number of sky sources in statistical sample; if below this number, we refuse to modify the threshold. (int, default 10)

minPixels

detected sources with fewer than the specified number of pixels will be ignored (int, default 1)

Valid Range = [0,inf)

nPeaksMaxSimple

The maximum number of peaks in a Footprint before trying to replace its peaks using the temporary local background (int, default 1)

nSigmaForKernel

Multiple of PSF RMS size to use for convolution kernel bounding box size; note that this is not a half-size. The size will be rounded up to the nearest odd integer (float, default 7.0)

nSigmaToGrow

Grow detections by nSigmaToGrow * [PSF RMS width]; if 0 then do not grow (float, default 2.4)

prelimThresholdFactor

Fraction of the threshold to use for first pass (to find sky objects) (float, default 0.5)

reEstimateBackground

Estimate the background again after final source detection? (bool, default True)

returnOriginalFootprints

Grow detections to set the image mask bits, but return the original (not-grown) footprints (bool, default False)

skyObjects

Generate sky objects (ConfigurableInstance, default <class 'lsst.meas.algorithms.skyObjects.SkyObjectsConfig'>)

statsMask

Mask planes to ignore when calculating statistics of image (for thresholdType=stdev) (List, default ['BAD', 'SAT', 'EDGE', 'NO_DATA'])

tempLocalBackground

A local (small-scale), temporary background estimation step run between detecting above-threshold regions and detecting the peaks within them; used to avoid detecting spuerious peaks in the wings. (ConfigurableInstance, default <class 'lsst.meas.algorithms.subtractBackground.SubtractBackgroundConfig'>)

tempWideBackground

A wide (large-scale) background estimation and removal before footprint and peak detection. It is added back into the image after detection. The purpose is to suppress very large footprints (e.g., from large artifacts) that the deblender may choke on. (ConfigurableInstance, default <class 'lsst.meas.algorithms.subtractBackground.SubtractBackgroundConfig'>)

thresholdPolarity

specifies whether to detect positive, or negative sources, or both (str, default 'positive')

Allowed values:

'positive'
detect only positive sources
'negative'
detect only negative sources
'both'
detect both positive and negative sources
thresholdType

specifies the desired flavor of Threshold (str, default 'stdev')

Allowed values:

'variance'
threshold applied to image variance
'stdev'
threshold applied to image std deviation
'value'
threshold applied to image value
'pixel_stdev'
threshold applied to per-pixel std deviation
thresholdValue

Threshold for footprints; exact meaning and units depend on thresholdType. (float, default 5.0)

Valid Range = [0.0,inf)

Methods Documentation

compare(other, shortcut=True, rtol=1e-08, atol=1e-08, output=None)

Compare this configuration to another Config for equality.

Parameters:
other : lsst.pex.config.Config

Other Config object to compare against this config.

shortcut : bool, optional

If True, return as soon as an inequality is found. Default is True.

rtol : float, optional

Relative tolerance for floating point comparisons.

atol : float, optional

Absolute tolerance for floating point comparisons.

output : callable, optional

A callable that takes a string, used (possibly repeatedly) to report inequalities.

Returns:
isEqual : bool

True when the two lsst.pex.config.Config instances are equal. False if there is an inequality.

Notes

Unselected targets of RegistryField fields and unselected choices of ConfigChoiceField fields are not considered by this method.

Floating point comparisons are performed by numpy.allclose.

formatHistory(name, **kwargs)

Format a configuration field’s history to a human-readable format.

Parameters:
name : str

Name of a Field in this config.

kwargs

Keyword arguments passed to lsst.pex.config.history.format.

Returns:
history : str

A string containing the formatted history.

freeze()

Make this config, and all subconfigs, read-only.

items()

Get configurations as (field name, field value) pairs.

Returns:
items : list

List of tuples for each configuration. Tuple items are:

  1. Field name.
  2. Field value.
iteritems()

Iterate over (field name, field value) pairs.

Yields:
item : tuple

Tuple items are:

  1. Field name.
  2. Field value.
iterkeys()

Iterate over field names

Yields:
key : str

A field’s key (attribute name).

itervalues()

Iterate over field values.

Yields:
value : obj

A field value.

keys()

Get field names.

Returns:
names : list

List of lsst.pex.config.Field names.

load(filename, root='config')

Modify this config in place by executing the Python code in a configuration file.

Parameters:
filename : str

Name of the configuration file. A configuration file is Python module.

root : str, optional

Name of the variable in file that refers to the config being overridden.

For example, the value of root is "config" and the file contains:

config.myField = 5

Then this config’s field myField is set to 5.

Deprecated: For backwards compatibility, older config files that use root="root" instead of root="config" will be loaded with a warning printed to sys.stderr. This feature will be removed at some point.

loadFromStream(stream, root='config', filename=None)

Modify this Config in place by executing the Python code in the provided stream.

Parameters:
stream : file-like object, str, bytes, or compiled string

Stream containing configuration override code. If this is a code object, it should be compiled with mode="exec".

root : str, optional

Name of the variable in file that refers to the config being overridden.

For example, the value of root is "config" and the file contains:

config.myField = 5

Then this config’s field myField is set to 5.

Deprecated: For backwards compatibility, older config files that use root="root" instead of root="config" will be loaded with a warning printed to sys.stderr. This feature will be removed at some point.

filename : str, optional

Name of the configuration file, or None if unknown or contained in the stream. Used for error reporting.

Notes

For backwards compatibility reasons, this method accepts strings, bytes and code objects as well as file-like objects. New code should use loadFromString instead for most of these types.

loadFromString(code, root='config', filename=None)

Modify this Config in place by executing the Python code in the provided string.

Parameters:
code : str, bytes, or compiled string

Stream containing configuration override code.

root : str, optional

Name of the variable in file that refers to the config being overridden.

For example, the value of root is "config" and the file contains:

config.myField = 5

Then this config’s field myField is set to 5.

Deprecated: For backwards compatibility, older config files that use root="root" instead of root="config" will be loaded with a warning printed to sys.stderr. This feature will be removed at some point.

filename : str, optional

Name of the configuration file, or None if unknown or contained in the stream. Used for error reporting.

names()

Get all the field names in the config, recursively.

Returns:
names : list of str

Field names.

save(filename, root='config')

Save a Python script to the named file, which, when loaded, reproduces this config.

Parameters:
filename : str

Desination filename of this configuration.

root : str, optional

Name to use for the root config variable. The same value must be used when loading (see lsst.pex.config.Config.load).

saveToStream(outfile, root='config', skipImports=False)

Save a configuration file to a stream, which, when loaded, reproduces this config.

Parameters:
outfile : file-like object

Destination file object write the config into. Accepts strings not bytes.

root

Name to use for the root config variable. The same value must be used when loading (see lsst.pex.config.Config.load).

skipImports : bool, optional

If True then do not include import statements in output, this is to support human-oriented output from pipetask where additional clutter is not useful.

saveToString(skipImports=False)

Return the Python script form of this configuration as an executable string.

Parameters:
skipImports : bool, optional

If True then do not include import statements in output, this is to support human-oriented output from pipetask where additional clutter is not useful.

Returns:
code : str

A code string readable by loadFromString.

setDefaults()

Subclass hook for computing defaults.

Notes

Derived Config classes that must compute defaults rather than using the Field instances’s defaults should do so here. To correctly use inherited defaults, implementations of setDefaults must call their base class’s setDefaults.

toDict()

Make a dictionary of field names and their values.

Returns:
dict_ : dict

Dictionary with keys that are Field names. Values are Field values.

Notes

This method uses the toDict method of individual fields. Subclasses of Field may need to implement a toDict method for this method to work.

update(**kw)

Update values of fields specified by the keyword arguments.

Parameters:
kw

Keywords are configuration field names. Values are configuration field values.

Notes

The __at and __label keyword arguments are special internal keywords. They are used to strip out any internal steps from the history tracebacks of the config. Do not modify these keywords to subvert a Config instance’s history.

Examples

This is a config with three fields:

>>> from lsst.pex.config import Config, Field
>>> class DemoConfig(Config):
...     fieldA = Field(doc='Field A', dtype=int, default=42)
...     fieldB = Field(doc='Field B', dtype=bool, default=True)
...     fieldC = Field(doc='Field C', dtype=str, default='Hello world')
...
>>> config = DemoConfig()

These are the default values of each field:

>>> for name, value in config.iteritems():
...     print(f"{name}: {value}")
...
fieldA: 42
fieldB: True
fieldC: 'Hello world'

Using this method to update fieldA and fieldC:

>>> config.update(fieldA=13, fieldC='Updated!')

Now the values of each field are:

>>> for name, value in config.iteritems():
...     print(f"{name}: {value}")
...
fieldA: 13
fieldB: True
fieldC: 'Updated!'
validate()

Validate the Config, raising an exception if invalid.

Raises:
lsst.pex.config.FieldValidationError

Raised if verification fails.

Notes

The base class implementation performs type checks on all fields by calling their validate methods.

Complex single-field validation can be defined by deriving new Field types. For convenience, some derived lsst.pex.config.Field-types (ConfigField and ConfigChoiceField) are defined in lsst.pex.config that handle recursing into subconfigs.

Inter-field relationships should only be checked in derived Config classes after calling this method, and base validation is complete.

values()

Get field values.

Returns:
values : list

List of field values.