LSSTApplications
16.0-10-g0ee56ad+5,16.0-11-ga33d1f2+5,16.0-12-g3ef5c14+3,16.0-12-g71e5ef5+18,16.0-12-gbdf3636+3,16.0-13-g118c103+3,16.0-13-g8f68b0a+3,16.0-15-gbf5c1cb+4,16.0-16-gfd17674+3,16.0-17-g7c01f5c+3,16.0-18-g0a50484+1,16.0-20-ga20f992+8,16.0-21-g0e05fd4+6,16.0-21-g15e2d33+4,16.0-22-g62d8060+4,16.0-22-g847a80f+4,16.0-25-gf00d9b8+1,16.0-28-g3990c221+4,16.0-3-gf928089+3,16.0-32-g88a4f23+5,16.0-34-gd7987ad+3,16.0-37-gc7333cb+2,16.0-4-g10fc685+2,16.0-4-g18f3627+26,16.0-4-g5f3a788+26,16.0-5-gaf5c3d7+4,16.0-5-gcc1f4bb+1,16.0-6-g3b92700+4,16.0-6-g4412fcd+3,16.0-6-g7235603+4,16.0-69-g2562ce1b+2,16.0-8-g14ebd58+4,16.0-8-g2df868b+1,16.0-8-g4cec79c+6,16.0-8-gadf6c7a+1,16.0-8-gfc7ad86,16.0-82-g59ec2a54a+1,16.0-9-g5400cdc+2,16.0-9-ge6233d7+5,master-g2880f2d8cf+3,v17.0.rc1
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.