/usr/lib/python2.7/dist-packages/ginga/RGBMap.py is in python-ginga 2.6.1-2.
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# RGBMap.py -- color mapping
#
# Eric Jeschke (eric@naoj.org)
#
# Copyright (c) Eric R. Jeschke. All rights reserved.
# This is open-source software licensed under a BSD license.
# Please see the file LICENSE.txt for details.
#
import math
import numpy
from ginga.misc import Callback
from ginga import ColorDist
class RGBMapError(Exception):
pass
class RGBPlanes(object):
def __init__(self, rgbarr, order):
self.rgbarr = rgbarr
order = order.upper()
self.order = order
self.hasAlpha = 'A' in order
def get_slice(self, ch):
return self.rgbarr[..., self.order.index(ch.upper())]
def has_slice(self, ch):
return ch.upper() in self.order
def get_order(self):
return self.order
def get_order_indexes(self, cs):
cs = cs.upper()
return [ self.order.index(c) for c in cs ]
def get_array(self, order):
"""Get Numpy array that represents the RGB layers.
Parameters
----------
order : str
The desired order of RGB color layers.
Returns
-------
arr : ndarray
Numpy array that represents the RGB layers.
"""
order = order.upper()
if order == self.order:
return self.rgbarr
l = [ self.get_slice(c) for c in order ]
return numpy.dstack(l)
def get_size(self):
"""Returns (height, width) tuple of slice size."""
return self.get_slice('R').shape
class RGBMapper(Callback.Callbacks):
############################################################
# CODE NOTES
#
# [A] Some numpy routines have been optomized by using the out=
# parameter, which avoids having to allocate a new array for the
# result
#
def __init__(self, logger, dist=None):
Callback.Callbacks.__init__(self)
self.logger = logger
# For color and intensity maps
self.cmap = None
self.imap = None
self.arr = None
self.iarr = None
self.carr = None
self.sarr = None
self.scale_pct = 1.0
# For scaling algorithms
hashsize = 65536
if dist is None:
dist = ColorDist.LinearDist(hashsize)
self.dist = dist
self.reset_sarr(callback=False)
# For callbacks
for name in ('changed', ):
self.enable_callback(name)
def set_cmap(self, cmap, callback=True):
"""
Set the color map used by this RGBMapper.
`cmap` specifies a ColorMap object. If `callback` is True, then
any callbacks associated with this change will be invoked.
"""
self.cmap = cmap
self.calc_cmap()
self.recalc(callback=callback)
def get_cmap(self):
"""
Return the color map used by this RGBMapper.
"""
return self.cmap
def calc_cmap(self):
clst = self.cmap.clst
arr = numpy.array(clst).transpose() * 255.0
self.carr = numpy.round(arr).astype('uint8')
def invert_cmap(self, callback=True):
self.carr = numpy.fliplr(self.carr)
self.recalc(callback=callback)
def rotate_cmap(self, num, callback=True):
self.carr = numpy.roll(self.carr, num, axis=1)
self.recalc(callback=callback)
def restore_cmap(self, callback=True):
self.reset_sarr(callback=False)
self.calc_cmap()
self.recalc(callback=callback)
def get_rgb(self, index):
"""
Return a tuple of (R, G, B) values in the 0-255 range associated
mapped by the value of `index`.
"""
return tuple(self.arr[index])
def get_rgbval(self, index):
"""
Return a tuple of (R, G, B) values in the 0-255 range associated
mapped by the value of `index`.
"""
assert (index >= 0) and (index < 256), \
RGBMapError("Index must be in range 0-255 !")
index = self.sarr[index].clip(0, 255)
return (self.arr[0][index],
self.arr[1][index],
self.arr[2][index])
def set_imap(self, imap, callback=True):
"""
Set the intensity map used by this RGBMapper.
`imap` specifies an IntensityMap object. If `callback` is True, then
any callbacks associated with this change will be invoked.
"""
self.imap = imap
self.calc_imap()
self.recalc(callback=callback)
def get_imap(self):
"""
Return the intensity map used by this RGBMapper.
"""
return self.imap
def calc_imap(self):
arr = numpy.array(self.imap.ilst) * 255.0
self.iarr = numpy.round(arr).astype('uint')
def reset_sarr(self, callback=True):
self.sarr = numpy.arange(256)
self.scale_pct = 1.0
if callback:
self.make_callback('changed')
def set_sarr(self, sarr, callback=True):
assert len(sarr) == 256, \
RGBMapError("shift map length %d != 256" % (len(sarr)))
self.sarr = sarr.astype('uint')
self.scale_pct = 1.0
if callback:
self.make_callback('changed')
def get_sarr(self):
return self.sarr
def recalc(self, callback=True):
self.arr = numpy.copy(self.carr)
# Apply intensity map to rearrange colors
if self.iarr is not None:
idx = self.iarr
self.arr[0] = self.arr[0][idx]
self.arr[1] = self.arr[1][idx]
self.arr[2] = self.arr[2][idx]
# NOTE: don't reset shift array
#self.reset_sarr(callback=False)
if callback:
self.make_callback('changed')
def get_hash_size(self):
return self.dist.get_hash_size()
def set_hash_size(self, size, callback=True):
self.dist.set_hash_size(size)
if callback:
self.make_callback('changed')
def get_hash_algorithms(self):
return ColorDist.get_dist_names()
def get_hash_algorithm(self):
return str(self.dist)
def get_dist(self):
"""
Return the color distribution used by this RGBMapper.
"""
return self.dist
def set_dist(self, dist, callback=True):
self.dist = dist
if callback:
self.make_callback('changed')
def set_hash_algorithm(self, name, callback=True, **kwdargs):
hashsize = self.dist.get_hash_size()
dist = ColorDist.get_dist(name)(hashsize, **kwdargs)
self.set_dist(dist, callback=callback)
def get_order_indexes(self, order, cs):
order = order.upper()
if order == '':
# assume standard RGB order if we don't find an order
# explicitly set
return [0, 1, 2]
cs = cs.upper()
return [ order.index(c) for c in cs ]
def _get_rgbarray(self, idx, rgbobj, image_order):
# NOTE: data is assumed to be in the range 0-255 at this point
# but clip as a precaution
# See NOTE [A]: idx is always an array calculated in the caller and
# discarded afterwards
# idx = idx.clip(0, 255)
idx.clip(0, 255, out=idx)
# run it through the shift array and clip the result
# See NOTE [A]
# idx = self.sarr[idx].clip(0, 255)
idx = self.sarr[idx]
idx.clip(0, 255, out=idx)
ri, gi, bi = self.get_order_indexes(rgbobj.get_order(), 'RGB')
out = rgbobj.rgbarr
if len(idx.shape) == 2:
out[..., ri] = self.arr[0][idx]
out[..., gi] = self.arr[1][idx]
out[..., bi] = self.arr[2][idx]
else:
rj, gj, bj = self.get_order_indexes(image_order, 'RGB')
out[..., ri] = self.arr[0][idx[..., rj]]
out[..., gi] = self.arr[1][idx[..., gj]]
out[..., bi] = self.arr[2][idx[..., bj]]
def get_rgbarray(self, idx, out=None, order='RGB', image_order='RGB'):
# prepare output array
shape = idx.shape
depth = len(order)
res_shape = (shape[0], shape[1], depth)
if out is None:
out = numpy.empty(res_shape, dtype=numpy.uint8, order='C')
else:
# TODO: assertion check on shape of out
assert res_shape == out.shape, \
RGBMapError("Output array shape %s doesn't match result shape %s" % (
str(out.shape), str(res_shape)))
res = RGBPlanes(out, order)
# set alpha channel
if res.hasAlpha:
aa = res.get_slice('A')
aa.fill(255)
idx = self.get_hasharray(idx)
self._get_rgbarray(idx, res, image_order)
return res
def get_hasharray(self, idx):
return self.dist.hash_array(idx)
def _shift(self, sarr, pct, rotate=False):
n = len(sarr)
num = int(n * pct)
arr = numpy.roll(sarr, num)
if not rotate:
if num > 0:
arr[0:num] = sarr[0]
elif num < 0:
arr[n+num:n] = sarr[-1]
return arr
def _stretch(self, sarr, scale):
old_wd = len(sarr)
new_wd = int(round(scale * old_wd))
# Is there a more efficient way to do this?
xi = numpy.mgrid[0:new_wd]
iscale_x = float(old_wd) / float(new_wd)
xi = (xi * iscale_x).astype('int')
xi = xi.clip(0, old_wd-1)
newdata = sarr[xi]
return newdata
def shift(self, pct, rotate=False, callback=True):
work = self._shift(self.sarr, pct, rotate=rotate)
assert len(work) == 256, \
RGBMapError("shifted shift map is != 256")
self.sarr = work
if callback:
self.make_callback('changed')
def scale_and_shift(self, scale_pct, shift_pct, callback=True):
"""Stretch and/or shrink the color map via altering the shift map.
"""
self.sarr = numpy.arange(256)
#print "amount=%.2f location=%.2f" % (scale_pct, shift_pct)
# limit shrinkage to 5% of original size
scale = max(scale_pct, 0.050)
self.scale_pct = scale
work = self._stretch(self.sarr, scale)
n = len(work)
if n < 256:
# pad on the lowest and highest values of the shift map
m = (256 - n) // 2 + 1
barr = numpy.array([0]*m)
tarr = numpy.array([255]*m)
work = numpy.concatenate([barr, work, tarr])
work = work[:256]
# we are mimicing ds9's stretch and shift algorithm here.
# ds9 seems to cut the center out of the stretched array
# BEFORE shifting
n = len(work) // 2
work = work[n-128:n+128].astype('uint')
assert len(work) == 256, \
RGBMapError("scaled shift map is != 256")
# shift map according to the shift_pct
work = self._shift(work, shift_pct)
assert len(work) == 256, \
RGBMapError("shifted shift map is != 256")
self.sarr = work
if callback:
self.make_callback('changed')
def stretch(self, scale_factor, callback=True):
"""Stretch the color map via altering the shift map.
"""
self.scale_pct *= scale_factor
self.scale_and_shift(self.scale_pct, 0.0, callback=callback)
def copy_attributes(self, dst_rgbmap):
dst_rgbmap.set_cmap(self.cmap)
dst_rgbmap.set_imap(self.imap)
dst_rgbmap.set_hash_algorithm(str(self.dist))
def reset_cmap(self):
self.recalc()
class NonColorMapper(RGBMapper):
"""
A kind of color mapper for data that is already in RGB 24/32bpp
(0-255 per channel) form.
This mapper allows changing of color distribution and contrast
adjustment, but does no coloring.
"""
def __init__(self, logger, dist=None):
super(NonColorMapper, self).__init__(logger)
self.dist.set_hash_size(256)
self.reset_sarr(callback=False)
def _get_rgbarray(self, idx, rgbobj, image_order):
# NOTE: data is assumed to be in the range 0-255 at this point
# but clip as a precaution
# See NOTE [A]: idx is always an array calculated in the caller and
# discarded afterwards
idx.clip(0, 255, out=idx)
# run it through the shift array and clip the result
# See NOTE [A]
idx = self.sarr[idx]
idx.clip(0, 255, out=idx)
ri, gi, bi = self.get_order_indexes(rgbobj.get_order(), 'RGB')
rj, gj, bj = self.get_order_indexes(image_order, 'RGB')
out = rgbobj.rgbarr
out[..., ri] = idx[..., rj]
out[..., gi] = idx[..., gj]
out[..., bi] = idx[..., bj]
class PassThruRGBMapper(RGBMapper):
"""
A kind of color mapper for data that is already in RGB 24/32bpp
(0-255 per channel) form.
This mapper bypasses color distribution, contrast adjustment and
coloring. It is thus the most efficient one to use for maximum
speed rendering of "finished" RGB data.
"""
def __init__(self, logger, dist=None):
super(PassThruRGBMapper, self).__init__(logger)
# ignore passed in distribution
self.dist = ColorDist.LinearDist(256)
def get_hasharray(self, idx):
# data is already constrained to 0..255 and we want to
# bypass color redistribution
return idx
def _get_rgbarray(self, idx, rgbobj, image_order):
# NOTE: data is assumed to be in the range 0-255 at this point
# but clip as a precaution
# See NOTE [A]: idx is always an array calculated in the caller and
# discarded afterwards
idx.clip(0, 255, out=idx)
# bypass the shift array and skip color mapping,
# index is the final data
ri, gi, bi = self.get_order_indexes(rgbobj.get_order(), 'RGB')
rj, gj, bj = self.get_order_indexes(image_order, 'RGB')
out = rgbobj.rgbarr
out[..., ri] = idx[..., rj]
out[..., gi] = idx[..., gj]
out[..., bi] = idx[..., bj]
#END
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