LSSTApplications
17.0+124,17.0+14,17.0+73,18.0.0+37,18.0.0+80,18.0.0-4-g68ffd23+4,18.1.0-1-g0001055+12,18.1.0-1-g03d53ef+5,18.1.0-1-g1349e88+55,18.1.0-1-g2505f39+44,18.1.0-1-g5315e5e+4,18.1.0-1-g5e4b7ea+14,18.1.0-1-g7e8fceb+4,18.1.0-1-g85f8cd4+48,18.1.0-1-g8ff0b9f+4,18.1.0-1-ga2c679d+1,18.1.0-1-gd55f500+35,18.1.0-10-gb58edde+2,18.1.0-11-g0997b02+4,18.1.0-13-gfe4edf0b+12,18.1.0-14-g259bd21+21,18.1.0-19-gdb69f3f+2,18.1.0-2-g5f9922c+24,18.1.0-2-gd3b74e5+11,18.1.0-2-gfbf3545+32,18.1.0-26-g728bddb4+5,18.1.0-27-g6ff7ca9+2,18.1.0-3-g52aa583+25,18.1.0-3-g8ea57af+9,18.1.0-3-gb69f684+42,18.1.0-3-gfcaddf3+6,18.1.0-32-gd8786685a,18.1.0-4-gf3f9b77+6,18.1.0-5-g1dd662b+2,18.1.0-5-g6dbcb01+41,18.1.0-6-gae77429+3,18.1.0-7-g9d75d83+9,18.1.0-7-gae09a6d+30,18.1.0-9-gc381ef5+4,w.2019.45
LSSTDataManagementBasePackage
|
Classes | |
class | _RgbImageF |
class | AsinhMapping |
class | asinhMappingF |
class | AsinhZScaleMapping |
class | LinearMapping |
class | Mapping |
class | ZScaleMapping |
Functions | |
def | computeIntensity (imageR, imageG=None, imageB=None) |
def | makeRGB (imageR, imageG=None, imageB=None, minimum=0, dataRange=5, Q=8, fileName=None, saturatedBorderWidth=0, saturatedPixelValue=None, xSize=None, ySize=None, rescaleFactor=None) |
def | displayRGB (rgb, show=True) |
def | writeRGB (fileName, rgbImage) |
def | __init__ (self, minimum, dataRange, Q) |
def | RgbImageF (imageR, imageG, imageB, mapping) |
Variables | |
minimum | |
dataRange | |
Q | |
def lsst.afw.display.rgb.rgbContinued.__init__ | ( | self, | |
minimum, | |||
dataRange, | |||
Q | |||
) |
Deprecated object used to support legacy API
Definition at line 476 of file rgbContinued.py.
def lsst.afw.display.rgb.rgbContinued.computeIntensity | ( | imageR, | |
imageG = None , |
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imageB = None |
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) |
Return a naive total intensity from the red, blue, and green intensities Parameters ---------- imageR : `lsst.afw.image.MaskedImage`, `lsst.afw.image.Image`, or `numpy.ndarray`, (Nx, Ny) intensity of image that'll be mapped to red; or intensity if imageG and imageB are None imageG : `lsst.afw.image.MaskedImage`, `lsst.afw.image.Image`, or `numpy.ndarray`, (Nx, Ny) intensity of image that'll be mapped to green; or None imageB : `lsst.afw.image.MaskedImage`, `lsst.afw.image.Image`, or `numpy.ndarray`, (Nx, Ny) intensity of image that'll be mapped to blue; or None Returns ------- image : type of ``imageR``, ``imageG``, and `imageB``
Definition at line 30 of file rgbContinued.py.
def lsst.afw.display.rgb.rgbContinued.displayRGB | ( | rgb, | |
show = True |
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) |
Display an rgb image using matplotlib Parameters ---------- rgb The RGB image in question show : `bool` If `True`, call `matplotlib.pyplot.show()`
Definition at line 432 of file rgbContinued.py.
def lsst.afw.display.rgb.rgbContinued.makeRGB | ( | imageR, | |
imageG = None , |
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imageB = None , |
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minimum = 0 , |
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dataRange = 5 , |
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Q = 8 , |
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fileName = None , |
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saturatedBorderWidth = 0 , |
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saturatedPixelValue = None , |
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xSize = None , |
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ySize = None , |
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rescaleFactor = None |
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) |
Make a set of three images into an RGB image using an asinh stretch and optionally write it to disk Parameters ---------- imageR imageG imageB minimum : `float` or sequence of `float` dataRange Q : `int` fileName : `str` The output file. The suffix defines the format, and must be supported by matplotlib saturatedBorderWidth If saturatedBorderWidth is non-zero, replace saturated pixels with ``saturatedPixelValue``. Note that replacing saturated pixels requires that the input images be `lsst.afw.image.MaskedImage`. saturatedPixelValue xSize ySize rescaleFactor
Definition at line 387 of file rgbContinued.py.
def lsst.afw.display.rgb.rgbContinued.RgbImageF | ( | imageR, | |
imageG, | |||
imageB, | |||
mapping | |||
) |
Deprecated legacy API
Definition at line 494 of file rgbContinued.py.
def lsst.afw.display.rgb.rgbContinued.writeRGB | ( | fileName, | |
rgbImage | |||
) |
Write an RGB image to disk Parameters ---------- fileName : `str` The output file. The suffix defines the format, and must be supported by matplotlib Most versions of matplotlib support png and pdf (although the eps/pdf/svg writers may be buggy, possibly due an interaction with useTeX=True in the matplotlib settings). If your matplotlib bundles pil/pillow you should also be able to write jpeg and tiff files. rgbImage The image, as made by e.g. makeRGB
Definition at line 449 of file rgbContinued.py.
lsst.afw.display.rgb.rgbContinued.dataRange |
Definition at line 478 of file rgbContinued.py.
lsst.afw.display.rgb.rgbContinued.minimum |
Definition at line 477 of file rgbContinued.py.
lsst.afw.display.rgb.rgbContinued.Q |
Definition at line 479 of file rgbContinued.py.