_heavyFootprintContinued.py

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# This file is part of afw.
#
# Developed for the LSST Data Management System.
# This product includes software developed by the LSST Project
# (https://www.lsst.org).
# See the COPYRIGHT file at the top-level directory of this distribution
# for details of code ownership.
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
import numpy as np
 
from lsst.utils import TemplateMeta
 
from ._detection import HeavyFootprintI, HeavyFootprintF, HeavyFootprintD, HeavyFootprintU
 
__all__ = []  # import this module only for its side effects
 
 
class HeavyFootprint(metaclass=TemplateMeta):  # noqa: F811
    def addTo(self, image):
        """Add this heavy footprint to an image.
 
        Parameters
        ----------
        image : `lsst.afw.image`
        """
        indices = self.spans.indices()
        image.array[indices[0, :] - image.getY0(),
                    indices[1, :] - image.getX0()] += self.getImageArray()
 
    def addTo(self, image): …
    def subtractFrom(self, image):
        """Subtract this heavy footprint from an image.
 
        Parameters
        ----------
        image : `lsst.afw.image`
        """
        indices = self.spans.indices()
        image.array[indices[0, :] - image.getY0(),
                    indices[1, :] - image.getX0()] -= self.getImageArray()
 
    def subtractFrom(self, image): …
    def extractImage(self, fill=np.nan, bbox=None, imageType=None):
        """Create a 2D image of a HeavyFootprint
 
        Parameters
        ----------
        fill: number
            Number to fill the pixels in the image that are not
            contained in `heavy`.
        bbox : `Box2I`
            Bounding box of the output image.
        imageType : `type`
            This should be either a `MaskedImage` or `Image` and describes
            the type of the output image.
            If `imageType` is `None` then `Image` will be used.
 
        Returns
        -------
        image : `lsst.afw.image.MaskedImage` or `lsst.afw.image.Image`
            An image defined by `bbox` and padded with `fill` that
            contains the projected flux in `heavy`.
        """
        # Prevent circular import
        from lsst.afw.image import Image
        if imageType is None:
            imageType = Image
        if bbox is None:
            bbox = self.getBBox()
        image = imageType(bbox, dtype=self.getImageArray().dtype)
        image.set(fill)
        self.insert(image)
        return image
 
 
    def extractImage(self, fill=np.nan, bbox=None, imageType=None): …
HeavyFootprint.register(np.int32, HeavyFootprintI)
HeavyFootprint.register(np.float32, HeavyFootprintF)
HeavyFootprint.register(np.float64, HeavyFootprintD)
HeavyFootprint.register(np.uint16, HeavyFootprintU)
class HeavyFootprint(metaclass=TemplateMeta):  # noqa: F811 …