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DAMASK_EICMD
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added “gap” value to render pieces of resulting image transparent.

This commit is contained in:
Philip Eisenlohr 2015-07-07 14:53:55 +00:00
parent 66564c1f75
commit f8658ffea1
1 changed files with 15 additions and 7 deletions
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22
processing/post/imageData.py
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@ -4,7 +4,7 @@
import os,sys,string import os,sys,string
import numpy as np import numpy as np
from optparse import OptionParser from optparse import OptionParser
from PIL import Image, ImageDraw from PIL import Image, ImageDraw, ImageOps
import damask import damask
scriptID = string.replace('$Id$','\n','\\n') scriptID = string.replace('$Id$','\n','\\n')
@ -23,6 +23,8 @@ parser.add_option('-l','--label', dest='label', type='string',
help='column containing data [all])') help='column containing data [all])')
parser.add_option('-r','--range', dest='range', type='float', nargs=2, parser.add_option('-r','--range', dest='range', type='float', nargs=2,
help='data range (min max) [auto]') help='data range (min max) [auto]')
parser.add_option('--gap', '--transparent', dest='gap', type='float',
help='value to treat as transparent [%default]')
parser.add_option('-d','--dimension', dest='dimension', type='int', nargs=2, parser.add_option('-d','--dimension', dest='dimension', type='int', nargs=2,
help='data dimension (width height) [native]') help='data dimension (width height) [native]')
parser.add_option('--abs', dest='abs', action='store_true', parser.add_option('--abs', dest='abs', action='store_true',
@ -50,6 +52,7 @@ parser.add_option('-y','--pixelsizey', dest='pixelsizey', type='int',
parser.set_defaults(label = None, parser.set_defaults(label = None,
range = [0.0,0.0], range = [0.0,0.0],
gap = None,
dimension = [], dimension = [],
abs = False, abs = False,
log = False, log = False,
@ -111,13 +114,16 @@ for name in filenames:
if options.log: table.data = np.log10(table.data);options.range = np.log10(options.range) if options.log: table.data = np.log10(table.data);options.range = np.log10(options.range)
if options.flipLR: table.data = np.fliplr(table.data) if options.flipLR: table.data = np.fliplr(table.data)
if options.flipUD: table.data = np.flipud(table.data) if options.flipUD: table.data = np.flipud(table.data)
mask = np.where(table.data != options.gap,True,False) if options.gap != None else np.ones_like(table.data,dtype='bool')
if np.all(np.array(options.range) == 0.0): if np.all(np.array(options.range) == 0.0):
options.range = [table.data.min(),table.data.max()] options.range = [table.data[mask].min(),
file['croak'].write('data range: %g -- %g\n'%(options.range[0],options.range[1])) table.data[mask].max()]
file['croak'].write('data range: %g – %g\n'%(options.range[0],options.range[1]))
delta = max(options.range) - min(options.range) delta = max(options.range) - min(options.range)
avg = 0.5*(max(options.range) + min(options.range)) avg = 0.5*(max(options.range) + min(options.range))
print delta,avg,delta/avg
if delta * 1e8 <= avg: # delta around numerical noise if delta * 1e8 <= avg: # delta around numerical noise
options.range = [min(options.range) - 0.5*avg, max(options.range) + 0.5*avg] # extend range to have actual data centered within options.range = [min(options.range) - 0.5*avg, max(options.range) + 0.5*avg] # extend range to have actual data centered within
@ -125,12 +131,14 @@ for name in filenames:
(max(options.range) - min(options.range)) (max(options.range) - min(options.range))
table.data = np.clip(table.data,0.0,1.0).\ table.data = np.clip(table.data,0.0,1.0).\
repeat(options.pixelsizex,axis=1).\ repeat(options.pixelsizex,axis = 1).\
repeat(options.pixelsizey,axis=0) repeat(options.pixelsizey,axis = 0)
(height,width) = table.data.shape (height,width) = table.data.shape
file['croak'].write('image dimension: %i x %i\n'%(width,height))
im = Image.fromarray(theColors[np.array(255*table.data,dtype='i')], 'RGB').\ im = Image.fromarray(np.dstack((theColors[np.array(255*table.data,dtype=np.uint8)],
255*mask.astype(np.uint8))), 'RGBA').\
crop(( options.crop[0], crop(( options.crop[0],
options.crop[2], options.crop[2],
width -options.crop[1], width -options.crop[1],