DAMASK_EICMD/processing/post/imageData.py

137 lines
6.5 KiB
Python
Executable File

#!/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
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',
help='column containing data [all])')
parser.add_option('-r','--range', dest='range', type='float', nargs=2,
help='data range (min max) [auto]')
parser.add_option('-d','--dimension', dest='dimension', type='int', nargs=2,
help='data dimension (width height) [native]')
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('--color', dest='color', type='string',
help='color scheme')
parser.add_option('--invert', dest='invert', action='store_true',
help='invert color scheme')
parser.add_option('--crop', dest='crop', type='int', nargs=4, metavar='LEFT RIGHT TOP BOTTOM',
help='pixels cropped on left, right, top, bottom')
parser.add_option('--show', dest='show', action='store_true',
help='show resulting image')
parser.add_option('-N','--pixelsize', dest='pixelsize', type='int',
help='pixel per data point')
parser.add_option('-x','--pixelsizex', dest='pixelsizex', type='int',
help='pixel per data point along x')
parser.add_option('-y','--pixelsizey', dest='pixelsizey', type='int',
help='pixel per data point along y')
parser.set_defaults(label = None,
range = [0.0,0.0],
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 = ['STDIN']
for name in filenames:
if name == 'STDIN':
file = {'name':'STDIN', 'input':sys.stdin, 'output':sys.stdout, 'croak':sys.stderr}
file['croak'].write('\033[1m'+scriptName+'\033[0m\n')
else:
if not os.path.exists(name): continue
file = {'name':name,
'input':open(name),
'output':open(os.path.splitext(name)[0]+\
('_%s'%(options.label) if options.label != None else '')+\
'.png','w'),
'croak':sys.stderr}
file['croak'].write('\033[1m'+scriptName+'\033[0m: '+file['name']+'\n')
table = damask.ASCIItable(file['input'],file['output'],
buffered = False, # make unbuffered ASCII_table
labels = options.label != None) # no labels when taking 2D dataset
table.head_read() # read ASCII header info
# ------------------------------------------ process data ------------------------------------------
missing_labels = table.data_readArray(options.label)
if len(missing_labels) > 0:
file['croak'].write('column %s not found...\n'%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)
if np.all(np.array(options.range) == 0.0): options.range = [table.data.min(),table.data.max()]
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)
(height,width) = table.data.shape
im = Image.fromarray(theColors[np.array(255*table.data,dtype='i')], 'RGB').\
crop(( options.crop[0],
options.crop[2],
width -options.crop[1],
height-options.crop[3]))
# ------------------------------------------ output result -----------------------------------------
im.save(file['output'],format = "PNG")
if options.show: im.show()
table.input_close() # close input ASCII table
table.output_close() # close output