#!/usr/bin/env python # -*- coding: UTF-8 no BOM -*- import os,sys,math,string import numpy as np from optparse import OptionParser from PIL import Image 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 geometry description and from stacked 8bit tiff images. No orientation info is used. Microstructure index is based on gray scale value (1...256). """, version = scriptID) parser.add_option('--homogenization', dest='homogenization', type='int', metavar = 'int', help='homogenization index for configuration [%default]') parser.set_defaults(homogenization = 1) (options,filenames) = parser.parse_args() #--- setup file handles --------------------------------------------------------------------------- files = [] for name in filenames: if os.path.exists(name): files.append({'name':name, 'input':open(name), 'output':open(name+'_tmp','w'), 'croak':sys.stdout, }) #--- loop over input files ------------------------------------------------------------------------ for file in files: file['croak'].write('\033[1m' + scriptName + '\033[0m: ' + (file['name'] if file['name'] != 'STDIN' else '') + '\n') info = { 'grid': np.ones (3,'i'), 'size': np.zeros(3,'d'), 'origin': np.zeros(3,'d'), 'microstructures': 0, 'homogenization': options.homogenization, } ImageFile=Image.open(file['input']) i=0 a=[] while True: try: ImageFile.seek(i) a.append(np.array(ImageFile.transpose(Image.FLIP_TOP_BOTTOM))) i+=1 except EOFError: break # http://docs.scipy.org/doc/scipy/reference/ndimage.html # http://scipy-lectures.github.io/advanced/image_processing/ imarray=np.asarray(a) info['grid'] = np.array(imarray.shape)[::-1] info['size'] = np.array(imarray.shape,'d')[::-1] info['microstructures']=len(np.unique(imarray)) #--- report --------------------------------------------------------------------------------------- file['croak'].write('grid a b c: %s\n'%(' x '.join(map(str,info['grid']))) + 'size x y z: %s\n'%(' x '.join(map(str,info['size']))) + 'origin x y z: %s\n'%(' : '.join(map(str,info['origin']))) + 'homogenization: %i\n'%info['homogenization'] + 'microstructures: %i\n\n'%info['microstructures']) if np.any(info['grid'] < 1): file['croak'].write('invalid grid a b c.\n') continue if np.any(info['size'] <= 0.0): file['croak'].write('invalid size x y z.\n') continue #--- write data ----------------------------------------------------------------------------------- header = [' '.join([scriptID] + sys.argv[1:]), "grid\ta %i\tb %i\tc %i"%(info['grid'][0],info['grid'][1],info['grid'][2]), "size\tx %f\ty %f\tz %f"%(info['size'][0],info['size'][1],info['size'][2]), "origin\tx %f\ty %f\tz %f"%(info['origin'][0],info['origin'][1],info['origin'][2]), "microstructures\t%i"%info['microstructures'], "homogenization\t%i"%info['homogenization'], ] file['output'].write('\n'.join(['%i\theader'%(len(header))] + header) + '\n') np.savetxt(file['output'],imarray.reshape([info['grid'][1]*info['grid'][2],info['grid'][0]]), fmt='%0'+str(1+int(math.log10(np.amax(imarray))))+'d' #--- output finalization -------------------------------------------------------------------------- if file['name'] != 'STDIN': file['output'].close() os.rename(file['name']+'_tmp', os.path.splitext(file['name'])[0] +'.geom')