DAMASK_EICMD/processing/post/imageDataRGB.py

135 lines
5.3 KiB
Python
Executable File

#!/usr/bin/env python2
# -*- coding: UTF-8 no BOM -*-
import os,sys
import numpy as np
from optparse import OptionParser
from PIL import Image
import damask
scriptName = os.path.splitext(os.path.basename(__file__))[0]
scriptID = ' '.join([scriptName,damask.version])
# --------------------------------------------------------------------
# MAIN
# --------------------------------------------------------------------
parser = OptionParser(option_class=damask.extendableOption, usage='%prog options [file[s]]', description = """
Generate PNG image from data in given column vector containing RGB tuples.
""", version = scriptID)
parser.add_option('-l','--label',
dest = 'label',
type = 'string', metavar = 'string',
help = 'column containing RGB triplet')
parser.add_option('-d','--dimension',
dest = 'dimension',
type = 'int', nargs = 2, metavar = 'int int',
help = 'data dimension (width height)')
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 = ' '.join(['int']*4),
help = 'pixels cropped on left, right, top, bottom')
parser.add_option('-N','--pixelsize',
dest = 'pixelsize',
type = 'int', metavar = 'int',
help = 'pixels per data point')
parser.add_option('-x','--pixelsizex',
dest = 'pixelsizex',
type = 'int', metavar = 'int',
help = 'pixels per data point along x')
parser.add_option('-y','--pixelsizey',
dest = 'pixelsizey',
type = 'int', metavar = 'int',
help = 'pixels per data point along y')
parser.add_option('--show',
dest = 'show',
action = 'store_true',
help = 'show resulting image')
parser.set_defaults(label = None,
dimension = [],
flipLR = False,
flipUD = False,
crop = [0,0,0,0],
pixelsize = 1,
pixelsizex = 1,
pixelsizey = 1,
show = False,
)
(options,filenames) = parser.parse_args()
if options.dimension == []: parser.error('dimension of data array missing')
if options.pixelsize > 1: (options.pixelsizex,options.pixelsizey) = [options.pixelsize]*2
# --- loop over input files -------------------------------------------------------------------------
if filenames == []: filenames = [None]
for name in filenames:
try:
table = damask.ASCIItable(name = name,
buffered = False,
labeled = options.label is not None,
readonly = True)
except: continue
damask.util.report(scriptName,name)
# ------------------------------------------ read header ------------------------------------------
table.head_read()
# ------------------------------------------ process data ------------------------------------------
errors = []
missing_labels = table.data_readArray(options.label)
if len(missing_labels) > 0:
errors.append('column{} {} not found'.format('s' if len(missing_labels) > 1 else '',
', '.join(missing_labels)))
if table.label_dimension(options.label) != 3:
errors.append('column {} does not have dimension'.format(options.label))
if errors != []:
damask.util.croak(errors)
table.close(dismiss = True) # close ASCII table file handles and delete output file
continue
# convert data to shape and arrange according to given options
if options.dimension != []: table.data = table.data.reshape(options.dimension[1],options.dimension[0],3)
if options.flipLR: table.data = np.fliplr(table.data)
if options.flipUD: table.data = np.flipud(table.data)
table.data = table.data.repeat(options.pixelsizex,axis=1).\
repeat(options.pixelsizey,axis=0)
table.data *= 1. if np.any(table.data > 1.0) else 255.0 # ensure 8 bit data range
(height,width,bands) = table.data.shape
damask.util.croak('image dimension: {0} x {1}'.format(width,height))
im = Image.fromarray(table.data.astype('uint8'), 'RGB').\
crop(( options.crop[0],
options.crop[2],
width -options.crop[1],
height-options.crop[3]))
# ------------------------------------------ output result -----------------------------------------
im.save(os.path.splitext(name)[0]+ \
('_'+options.label if options.label else '')+ \
'.png' if name else sys.stdout,
format = "PNG")
table.close() # close ASCII table
if options.show: im.show()