[LSST|dm-users 636] Detection and Measurement of Postage Stamp
Will Dawson
will at dawsonresearch.com
Mon May 11 14:41:53 PDT 2015
I am trying to use DM Stack detect and analyze in object in a small postage stamp (see attached example, log scale). I know I can use lsst.afw.detection.Threshold() with lsst.afw.detection.FootprintSet() to create a footprint for the detected object. But I also (first) tried lsst.meas.algorithms.SourceDetectionTask(config=detectSourcesConfig, "other args") with config set as:
detectSourcesConfig = measAlg.SourceDetectionConfig(thresholdType='value’)
or
detectSourcesConfig = measAlg.SourceDetectionConfig(thresholdType='value',thresholdValue=0)
and got the error at the end of this email. I am not entirely sure how to parse this error statement, but if I had to guess: no objects are being detected because it is trying to estimate the background based on this stamp which contains primary just the object thus when it does image - background there is nothing above threshold left to detect. Or it chokes when trying to estimate the background.
Is there an option to run lsst.meas.algorithms.SourceDetectionTask with the background estimation/ subtraction process turned off? For example when detecting objects on an image that already has the background subtracted. Perhaps the only option is to stick with the detection.FootprintSet method.
Thanks,
Will
---------------------------------------------------------------------------
InvalidParameterError Traceback (most recent call last)
<ipython-input-66-d08d86b9540f> in <module>()
2 # catalog atually stores stuff)
3 table = afwTable.SourceTable.make(schema)
----> 4 catalog = detect.makeSourceCatalog(table, exposure, sigma=3)
/Users/dawson/lsst/DarwinX86/pipe_base/10.0+2/python/lsst/pipe/base/timer.pyc in wrapper(self, *args, **keyArgs)
116 logInfo(obj = self, prefix = func.__name__ + "Start")
117 try:
--> 118 res = func(self, *args, **keyArgs)
119 finally:
120 logInfo(obj = self, prefix = func.__name__ + "End")
/Users/dawson/lsst/DarwinX86/meas_algorithms/10.0+2/python/lsst/meas/algorithms/detection.pyc in run(self, table, exposure, doSmooth, sigma, clearMask)
313 raise ValueError("Table has incorrect Schema")
314 fpSets = self.detectFootprints(exposure=exposure, doSmooth=doSmooth, sigma=sigma,
--> 315 clearMask=clearMask)
316 sources = afwTable.SourceCatalog(table)
317 table.preallocate(fpSets.numPos + fpSets.numNeg) # not required, but nice
/Users/dawson/lsst/DarwinX86/pipe_base/10.0+2/python/lsst/pipe/base/timer.pyc in wrapper(self, *args, **keyArgs)
116 logInfo(obj = self, prefix = func.__name__ + "Start")
117 try:
--> 118 res = func(self, *args, **keyArgs)
119 finally:
120 logInfo(obj = self, prefix = func.__name__ + "End")
/Users/dawson/lsst/DarwinX86/meas_algorithms/10.0+2/python/lsst/meas/algorithms/detection.pyc in detectFootprints(self, exposure, doSmooth, sigma, clearMask)
443 fpSets.background = bkgd
444 self.log.log(self.log.INFO, "Resubtracting the background after object detection")
--> 445 mi -= bkgd.getImageF()
446 del mi
447
/Users/dawson/lsst/DarwinX86/afw/10.0+3/python/lsst/afw/math/mathLib.pyc in getImageF(self, *args)
5736 getImageF(Background self) -> boost::shared_ptr< lsst::afw::image::Image< float > >
5737 """
-> 5738 return _mathLib.Background_getImageF(self, *args)
5739
5740 def getImageI(self, *args):
InvalidParameterError:
File "src/math/Interpolate.cc", line 60, in std::pair<std::vector<double>, std::vector<double> > lsst::afw::math::(anonymous namespace)::recenter(const std::vector<double> &, const std::vector<double> &)
You must provide at least 1 point {0}
File "src/math/BackgroundMI.cc", line 196, in void lsst::afw::math::BackgroundMI::_setGridColumns(const Interpolate::Style, const lsst::afw::math::UndersampleStyle, const int, const std::vector<int> &) const
setting _gridcolumns {1}
lsst::pex::exceptions::InvalidParameterError: 'You must provide at least 1 point {0}; setting _gridcolumns {1}'
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