135 lines
5.3 KiB
Python
Executable File
135 lines
5.3 KiB
Python
Executable File
#!/usr/bin/env python2.7
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# -*- coding: UTF-8 no BOM -*-
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import os,sys
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import numpy as np
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from optparse import OptionParser
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from PIL import Image
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import damask
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scriptName = os.path.splitext(os.path.basename(__file__))[0]
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scriptID = ' '.join([scriptName,damask.version])
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# --------------------------------------------------------------------
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# MAIN
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# --------------------------------------------------------------------
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parser = OptionParser(option_class=damask.extendableOption, usage='%prog options [file[s]]', description = """
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Generate PNG image from data in given column vector containing RGB tuples.
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""", version = scriptID)
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parser.add_option('-l','--label',
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dest = 'label',
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type = 'string', metavar = 'string',
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help = 'column containing RGB triplet')
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parser.add_option('-d','--dimension',
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dest = 'dimension',
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type = 'int', nargs = 2, metavar = 'int int',
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help = 'data dimension (width height)')
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parser.add_option('--fliplr',
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dest = 'flipLR',
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action = 'store_true',
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help = 'flip around vertical axis')
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parser.add_option('--flipud',
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dest = 'flipUD',
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action = 'store_true',
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help = 'flip around horizontal axis')
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parser.add_option('--crop',
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dest = 'crop',
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type = 'int', nargs = 4, metavar = ' '.join(['int']*4),
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help = 'pixels cropped on left, right, top, bottom')
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parser.add_option('-N','--pixelsize',
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dest = 'pixelsize',
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type = 'int', metavar = 'int',
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help = 'pixels per data point')
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parser.add_option('-x','--pixelsizex',
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dest = 'pixelsizex',
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type = 'int', metavar = 'int',
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help = 'pixels per data point along x')
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parser.add_option('-y','--pixelsizey',
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dest = 'pixelsizey',
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type = 'int', metavar = 'int',
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help = 'pixels per data point along y')
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parser.add_option('--show',
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dest = 'show',
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action = 'store_true',
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help = 'show resulting image')
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parser.set_defaults(label = None,
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dimension = [],
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flipLR = False,
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flipUD = False,
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crop = [0,0,0,0],
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pixelsize = 1,
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pixelsizex = 1,
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pixelsizey = 1,
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show = False,
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)
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(options,filenames) = parser.parse_args()
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if options.dimension == []: parser.error('dimension of data array missing')
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if options.pixelsize > 1: (options.pixelsizex,options.pixelsizey) = [options.pixelsize]*2
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# --- loop over input files -------------------------------------------------------------------------
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if filenames == []: filenames = [None]
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for name in filenames:
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try:
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table = damask.ASCIItable(name = name,
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buffered = False,
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labeled = options.label is not None,
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readonly = True)
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except: continue
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damask.util.report(scriptName,name)
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# ------------------------------------------ read header ------------------------------------------
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table.head_read()
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# ------------------------------------------ process data ------------------------------------------
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errors = []
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missing_labels = table.data_readArray(options.label)
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if len(missing_labels) > 0:
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errors.append('column{} {} not found'.format('s' if len(missing_labels) > 1 else '',
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', '.join(missing_labels)))
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if table.label_dimension(options.label) != 3:
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errors.append('column {} does not have dimension'.format(options.label))
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if errors != []:
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damask.util.croak(errors)
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table.close(dismiss = True) # close ASCII table file handles and delete output file
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continue
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# convert data to shape and arrange according to given options
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if options.dimension != []: table.data = table.data.reshape(options.dimension[1],options.dimension[0],3)
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if options.flipLR: table.data = np.fliplr(table.data)
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if options.flipUD: table.data = np.flipud(table.data)
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table.data = table.data.repeat(options.pixelsizex,axis=1).\
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repeat(options.pixelsizey,axis=0)
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table.data *= 1. if np.any(table.data > 1.0) else 255.0 # ensure 8 bit data range
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(height,width,bands) = table.data.shape
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damask.util.croak('image dimension: {0} x {1}'.format(width,height))
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im = Image.fromarray(table.data.astype('uint8'), 'RGB').\
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crop(( options.crop[0],
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options.crop[2],
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width -options.crop[1],
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height-options.crop[3]))
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# ------------------------------------------ output result -----------------------------------------
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im.save(os.path.splitext(name)[0]+ \
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('_'+options.label if options.label else '')+ \
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'.png' if name else sys.stdout,
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format = "PNG")
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table.close() # close ASCII table
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if options.show: im.show()
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