LSST Applications g013ef56533+63812263fb,g083dd6704c+a047e97985,g199a45376c+0ba108daf9,g1fd858c14a+fde7a7a78c,g210f2d0738+db0c280453,g262e1987ae+abed931625,g29ae962dfc+058d1915d8,g2cef7863aa+aef1011c0b,g35bb328faa+8c5ae1fdc5,g3fd5ace14f+64337f1634,g47891489e3+f459a6810c,g53246c7159+8c5ae1fdc5,g54cd7ddccb+890c8e1e5d,g5a60e81ecd+d9e514a434,g64539dfbff+db0c280453,g67b6fd64d1+f459a6810c,g6ebf1fc0d4+8c5ae1fdc5,g7382096ae9+36d16ea71a,g74acd417e5+c70e70fbf6,g786e29fd12+668abc6043,g87389fa792+8856018cbb,g89139ef638+f459a6810c,g8d7436a09f+1b779678e3,g8ea07a8fe4+81eaaadc04,g90f42f885a+34c0557caf,g97be763408+9583a964dd,g98a1a72a9c+028271c396,g98df359435+530b675b85,gb8cb2b794d+4e54f68785,gbf99507273+8c5ae1fdc5,gc2a301910b+db0c280453,gca7fc764a6+f459a6810c,gd7ef33dd92+f459a6810c,gdab6d2f7ff+c70e70fbf6,ge410e46f29+f459a6810c,ge41e95a9f2+db0c280453,geaed405ab2+e3b4b2a692,gf9a733ac38+8c5ae1fdc5,w.2025.43
LSST Data Management Base Package
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_heavyFootprintContinued.py
Go to the documentation of this file.
1# This file is part of afw.
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#
19import numpy as np
20
21from lsst.utils import TemplateMeta
22
23from ._detection import HeavyFootprintI, HeavyFootprintF, HeavyFootprintD, HeavyFootprintU
24
25__all__ = [] # import this module only for its side effects
26
27
28class HeavyFootprint(metaclass=TemplateMeta): # noqa: F811
29 def addTo(self, image):
30 """Add this heavy footprint to an image.
31
32 Parameters
33 ----------
34 image : `lsst.afw.image`
35 """
36 indices = self.spans.indices()
37 image.array[indices[0, :] - image.getY0(),
38 indices[1, :] - image.getX0()] += self.getImageArray()
39
40 def subtractFrom(self, image):
41 """Subtract this heavy footprint from an image.
42
43 Parameters
44 ----------
45 image : `lsst.afw.image`
46 """
47 indices = self.spans.indices()
48 image.array[indices[0, :] - image.getY0(),
49 indices[1, :] - image.getX0()] -= self.getImageArray()
50
51 def extractImage(self, fill=np.nan, bbox=None, imageType=None):
52 """Create a 2D image of a HeavyFootprint
53
54 Parameters
55 ----------
56 fill: number
57 Number to fill the pixels in the image that are not
58 contained in `heavy`.
59 bbox : `Box2I`
60 Bounding box of the output image.
61 imageType : `type`
62 This should be either a `MaskedImage` or `Image` and describes
63 the type of the output image.
64 If `imageType` is `None` then `Image` will be used.
65
66 Returns
67 -------
68 image : `lsst.afw.image.MaskedImage` or `lsst.afw.image.Image`
69 An image defined by `bbox` and padded with `fill` that
70 contains the projected flux in `heavy`.
71 """
72 # Prevent circular import
73 from lsst.afw.image import Image
74 if imageType is None:
75 imageType = Image
76 if bbox is None:
77 bbox = self.getBBox()
78 image = imageType(bbox, dtype=self.getImageArray().dtype)
79 image.set(fill)
80 self.insert(image)
81 return image
82
83
84HeavyFootprint.register(np.int32, HeavyFootprintI)
85HeavyFootprint.register(np.float32, HeavyFootprintF)
86HeavyFootprint.register(np.float64, HeavyFootprintD)
87HeavyFootprint.register(np.uint16, HeavyFootprintU)
extractImage(self, fill=np.nan, bbox=None, imageType=None)