Coverage for tests/test_negative.py: 18%
107 statements
« prev ^ index » next coverage.py v7.2.7, created at 2023-08-06 02:49 +0000
« prev ^ index » next coverage.py v7.2.7, created at 2023-08-06 02:49 +0000
1# This file is part of meas_algorithms.
2#
3# Developed for the LSST Data Management System.
4# This product includes software developed by the LSST Project
5# (https://www.lsst.org).
6# See the COPYRIGHT file at the top-level directory of this distribution
7# for details of code ownership.
8#
9# This program is free software: you can redistribute it and/or modify
10# it under the terms of the GNU General Public License as published by
11# the Free Software Foundation, either version 3 of the License, or
12# (at your option) any later version.
13#
14# This program is distributed in the hope that it will be useful,
15# but WITHOUT ANY WARRANTY; without even the implied warranty of
16# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
17# GNU General Public License for more details.
18#
19# You should have received a copy of the GNU General Public License
20# along with this program. If not, see <https://www.gnu.org/licenses/>.
22import unittest
24import lsst.geom
25import lsst.afw.math as afwMath
26import lsst.afw.table as afwTable
27import lsst.daf.base as dafBase
28from lsst.meas.algorithms import SourceDetectionTask
29from lsst.meas.base import SingleFrameMeasurementTask as SourceMeasurementTask
30from lsst.meas.algorithms.testUtils import plantSources
31import lsst.utils.tests
33try:
34 display
35except NameError:
36 display = False
37else:
38 import lsst.afw.display as afwDisplay
39 afwDisplay.setDefaultMaskTransparency(75)
42class NegativeMeasurementTestCase(lsst.utils.tests.TestCase):
43 """Testing detection and measurement on negative objects.
44 """
46 def _create_exposure(self):
47 bbox = lsst.geom.Box2I(lsst.geom.Point2I(256, 100), lsst.geom.Extent2I(128, 127))
48 minCounts = 2000
49 maxCounts = 20000
50 starSigma = 1.5
51 numX = 4
52 numY = 4
53 coordList = self.makeCoordList(
54 bbox=bbox,
55 numX=numX,
56 numY=numY,
57 minCounts=minCounts,
58 maxCounts=maxCounts,
59 sigma=starSigma,
60 )
61 kwid = 11
62 sky = 2000
63 addPoissonNoise = True
64 exposure = plantSources(bbox=bbox, kwid=kwid, sky=sky, coordList=coordList,
65 addPoissonNoise=addPoissonNoise)
66 return exposure, numX, numY
68 def test_detection_stdev(self):
69 """Test detection and measurement on an exposure with negative sources
70 for thresholdType="stdev".
71 """
72 exposure, numX, numY = self._create_exposure()
74 if display:
75 disp = afwDisplay.Display(frame=1)
76 disp.mtv(exposure, title=self._testMethodName + ": image with -ve sources")
78 schema = afwTable.SourceTable.makeMinimalSchema()
79 config = SourceDetectionTask.ConfigClass()
80 config.reEstimateBackground = False
81 config.thresholdPolarity = 'both'
82 detection = SourceDetectionTask(config=config, schema=schema)
83 algMetadata = dafBase.PropertyList()
84 measurement = SourceMeasurementTask(schema=schema, algMetadata=algMetadata)
86 table = afwTable.SourceTable.make(schema)
87 detections = detection.run(table, exposure)
88 sources = detections.sources
90 self.assertEqual(len(sources), numX*numY)
91 self.assertEqual(detections.numPos, numX*numY/2)
92 self.assertEqual(detections.numNeg, numX*numY/2)
94 measurement.run(sources, exposure)
96 nGoodCent = 0
97 nGoodShape = 0
98 for s in sources:
99 cent = s.getCentroid()
100 shape = s.getShape()
102 if cent[0] == cent[0] and cent[1] == cent[1]:
103 nGoodCent += 1
105 if (shape.getIxx() == shape.getIxx()
106 and shape.getIyy() == shape.getIyy()
107 and shape.getIxy() == shape.getIxy()):
108 nGoodShape += 1
110 if display:
111 xy = cent[0], cent[1]
112 disp.dot('+', *xy)
113 disp.dot(shape, *xy, ctype=afwDisplay.RED)
115 self.assertEqual(nGoodCent, numX*numY)
116 self.assertEqual(nGoodShape, numX*numY)
118 def test_significance(self):
119 """Test that negative peaks have the right significance for
120 thresholdType='stdev' for the non-convolved, non-local-background case.
121 """
122 exposure, numX, numY = self._create_exposure()
124 schema = afwTable.SourceTable.makeMinimalSchema()
125 config = SourceDetectionTask.ConfigClass()
126 config.thresholdPolarity = 'both'
127 # don't modify the image after detection.
128 config.reEstimateBackground = False
129 config.doTempLocalBackground = False
130 detection = SourceDetectionTask(config=config, schema=schema)
131 result = detection.detectFootprints(exposure, doSmooth=False)
133 bad = exposure.mask.getPlaneBitMask(config.statsMask)
134 sctrl = afwMath.StatisticsControl()
135 sctrl.setAndMask(bad)
136 stats = afwMath.makeStatistics(exposure.maskedImage, afwMath.STDEVCLIP, sctrl)
137 stddev = stats.getValue(afwMath.STDEVCLIP)
138 # Don't bother checking positive footprints: those are tested more
139 # thoroughly in test_detection.py.
140 for footprint in result.negative.getFootprints():
141 for peak in footprint.peaks:
142 point = lsst.geom.Point2I(peak.getIx(), peak.getIy())
143 value = exposure.image[point]
144 with self.subTest(str(point)):
145 self.assertFloatsAlmostEqual(peak["significance"],
146 -value/stddev, # S/N for negative peak
147 rtol=1e-7,
148 msg=str(point))
150 def makeCoordList(self, bbox, numX, numY, minCounts, maxCounts, sigma):
151 """Make a coordList for makeExposure.
152 """
153 dX = bbox.getWidth()/float(numX)
154 dY = bbox.getHeight()/float(numY)
155 minX = bbox.getMinX() + (dX/2.0)
156 minY = bbox.getMinY() + (dY/2.0)
157 dCounts = (maxCounts - minCounts)/(numX*numY/2 - 1)
159 coordList = []
160 counts = minCounts
161 for i in range(numX):
162 x = minX + (dX*i)
163 for j in range(numY):
164 y = minY + (dY*j)
165 if j%2 == 0:
166 coordList.append([x, y, counts, sigma])
167 else:
168 coordList.append([x, y, -counts, sigma])
169 counts += dCounts
170 return coordList
173class TestMemory(lsst.utils.tests.MemoryTestCase):
174 pass
177def setup_module(module):
178 lsst.utils.tests.init()
181if __name__ == "__main__": 181 ↛ 182line 181 didn't jump to line 182, because the condition on line 181 was never true
182 lsst.utils.tests.init()
183 unittest.main()