DAMASK_EICMD/processing/post/imageData.py

185 lines
7.6 KiB
Python
Executable File
Raw Blame History

This file contains ambiguous Unicode characters

This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

#!/usr/bin/env python
# -*- coding: UTF-8 no BOM -*-
import os,sys,string
import numpy as np
from optparse import OptionParser
from PIL import Image, ImageDraw, ImageOps
import damask
scriptID = string.replace('$Id$','\n','\\n')
scriptName = os.path.splitext(scriptID.split()[1])[0]
# --------------------------------------------------------------------
# MAIN
# --------------------------------------------------------------------
parser = OptionParser(option_class=damask.extendableOption, usage='%prog options [file[s]]', description = """
Generate PNG image from data in given column (or 2D data of overall table).
""", version = scriptID)
parser.add_option('-l','--label',
dest = 'label',
type = 'string', metavar = 'string',
help = 'column containing data [all]')
parser.add_option('-r','--range',
dest = 'range',
type = 'float', nargs = 2, metavar = 'float float',
help = 'data range (min max) [auto]')
parser.add_option('--gap', '--transparent',
dest = 'gap',
type = 'float', metavar = 'float',
help = 'value to treat as transparent [%default]')
parser.add_option('-d','--dimension',
dest = 'dimension',
type = 'int', nargs = 2, metavar = 'int int',
help = 'data dimension (width height) [native]')
parser.add_option('--color',
dest = 'color',
type = 'string', metavar = 'string',
help = 'color scheme [%default]')
parser.add_option('--invert',
dest = 'invert',
action = 'store_true',
help = 'invert color scheme')
parser.add_option('--abs',
dest = 'abs',
action = 'store_true',
help = 'magnitude of values')
parser.add_option('--log',
dest = 'log',
action = 'store_true',
help = 'log10 of values')
parser.add_option('--fliplr',
dest = 'flipLR',
action = 'store_true',
help = 'flip around vertical axis')
parser.add_option('--flipud',
dest = 'flipUD',
action = 'store_true',
help = 'flip around horizontal axis')
parser.add_option('--crop',
dest = 'crop',
type = 'int', nargs = 4, metavar = 'int int int int',
help = 'pixels cropped on left, right, top, bottom')
parser.add_option('-N','--pixelsize',
dest = 'pixelsize',
type = 'int', metavar = 'int',
help = 'pixel per data point')
parser.add_option('-x','--pixelsizex',
dest = 'pixelsizex',
type = 'int', metavar = 'int',
help = 'pixel per data point along x')
parser.add_option('-y','--pixelsizey',
dest = 'pixelsizey',
type = 'int', metavar = 'int',
help = 'pixel per data point along y')
parser.add_option('--show',
dest = 'show',
action = 'store_true',
help = 'show resulting image')
parser.set_defaults(label = None,
range = [0.0,0.0],
gap = None,
dimension = [],
abs = False,
log = False,
flipLR = False,
flipUD = False,
color = "gray",
invert = False,
crop = [0,0,0,0],
pixelsize = 1,
pixelsizex = 1,
pixelsizey = 1,
show = False,
)
(options,filenames) = parser.parse_args()
if options.pixelsize > 1: (options.pixelsizex,options.pixelsizey) = [options.pixelsize]*2
# --- color palette ---------------------------------------------------------------------------------
theMap = damask.Colormap(predefined = options.color)
if options.invert: theMap = theMap.invert()
theColors = np.uint8(np.array(theMap.export(format = 'list',steps = 256))*255)
# --- loop over input files -------------------------------------------------------------------------
if filenames == []: filenames = [None]
for name in filenames:
try:
table = damask.ASCIItable(name = name,
buffered = False,
labeled = options.label != None,
readonly = True)
except: continue
table.croak(damask.util.emph(scriptName)+(': '+name if name else ''))
# ------------------------------------------ read header ------------------------------------------
table.head_read()
# ------------------------------------------ process data ------------------------------------------
missing_labels = table.data_readArray(options.label)
if len(missing_labels) > 0:
table.croak('column {} not found.'.format(options.label))
table.close(dismiss = True) # close ASCIItable and remove empty file
continue
# convert data to values between 0 and 1 and arrange according to given options
if options.dimension != []: table.data = table.data.reshape(options.dimension[1],options.dimension[0])
if options.abs: table.data = np.abs(table.data)
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.flipUD: table.data = np.flipud(table.data)
mask = np.logical_or(table.data == options.gap, np.isnan(table.data)) if options.gap else np.logical_not(np.isnan(table.data)) # mask gap and NaN (if gap present)
if np.all(np.array(options.range) == 0.0):
options.range = [table.data[mask].min(),
table.data[mask].max()]
table.croak('data range: {0} {1}'.format(*options.range))
delta = max(options.range) - min(options.range)
avg = 0.5*(max(options.range) + min(options.range))
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
table.data = (table.data - min(options.range)) / \
(max(options.range) - min(options.range))
table.data = np.clip(table.data,0.0,1.0).\
repeat(options.pixelsizex,axis = 1).\
repeat(options.pixelsizey,axis = 0)
mask = mask.\
repeat(options.pixelsizex,axis = 1).\
repeat(options.pixelsizey,axis = 0)
(height,width) = table.data.shape
table.croak('image dimension: {0} x {1}'.format(width,height))
im = Image.fromarray(np.dstack((theColors[np.array(255*table.data,dtype = np.uint8)],
255*mask.astype(np.uint8))), 'RGBA').\
crop(( options.crop[0],
options.crop[2],
width -options.crop[1],
height-options.crop[3]))
# ------------------------------------------ output result -----------------------------------------
im.save(sys.stdout if not name else
os.path.splitext(name)[0]+ \
('' if options.label == None else '_'+options.label)+ \
'.png',
format = "PNG")
table.close() # close ASCII table
if options.show: im.show()