add pagexml2img.py to 'train'
cneud
9 months ago
parent
3f4c30a47a
commit
63946ad403
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#! /usr/bin/env python3
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__version__= '1.0'
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import argparse
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import sys
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import os
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import numpy as np
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import warnings
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import xml.etree.ElementTree as ET
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from tqdm import tqdm
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import cv2
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with warnings.catch_warnings():
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warnings.simplefilter("ignore")
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__doc__=\
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"""
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tool to extract 2d or 3d RGB images from page xml data. In former case output will be 1
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2D image array which each class has filled with a pixel value. In the case of 3D RGB image
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each class will be defined with a RGB value and beside images a text file of classes also will be produced.
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This classes.txt file is required for dhsegment tool.
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"""
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class pagexml2img:
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def __init__(self,dir_in, out_dir,output_type):
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self.dir=dir_in
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self.output_dir=out_dir
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self.output_type=output_type
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def get_content_of_dir(self):
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"""
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Listing all ground truth page xml files. All files are needed to have xml format.
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"""
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gt_all=os.listdir(self.dir)
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self.gt_list=[file for file in gt_all if file.split('.')[ len(file.split('.'))-1 ]=='xml' ]
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def get_images_of_ground_truth(self):
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"""
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Reading the page xml files and write the ground truth images into given output directory.
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"""
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if self.output_type=='3d' or self.output_type=='3D':
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classes=np.array([ [0,0,0, 1, 0, 0, 0, 0],
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[255,0,0, 0, 1, 0, 0, 0],
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[0,255,0, 0, 0, 1, 0, 0],
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[0,0,255, 0, 0, 0, 1, 0],
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[0,255,255, 0, 0, 0, 0, 1] ])
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for index in tqdm(range(len(self.gt_list))):
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try:
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tree1 = ET.parse(self.dir+'/'+self.gt_list[index])
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root1=tree1.getroot()
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alltags=[elem.tag for elem in root1.iter()]
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link=alltags[0].split('}')[0]+'}'
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region_tags=np.unique([x for x in alltags if x.endswith('Region')])
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for jj in root1.iter(link+'Page'):
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y_len=int(jj.attrib['imageHeight'])
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x_len=int(jj.attrib['imageWidth'])
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co_text=[]
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co_sep=[]
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co_img=[]
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co_table=[]
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for tag in region_tags:
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if tag.endswith('}TextRegion') or tag.endswith('}Textregion') or tag.endswith('}textRegion') or tag.endswith('}textregion'):
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for nn in root1.iter(tag):
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for co_it in nn.iter(link+'Coords'):
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if bool(co_it.attrib)==False:
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c_t_in=[]
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for ll in nn.iter(link+'Point'):
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c_t_in.append([ int(np.float(ll.attrib['x'])) , int(np.float(ll.attrib['y'])) ])
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co_text.append(np.array(c_t_in))
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print(co_text)
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elif bool(co_it.attrib)==True and 'points' in co_it.attrib.keys():
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p_h=co_it.attrib['points'].split(' ')
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co_text.append( np.array( [ [ int(x.split(',')[0]) , int(x.split(',')[1]) ] for x in p_h] ) )
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elif tag.endswith('}ImageRegion') or tag.endswith('}Imageregion') or tag.endswith('}imageRegion') or tag.endswith('}imageregion'):
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for nn in root1.iter(tag):
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for co_it in nn.iter(link+'Coords'):
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if bool(co_it.attrib)==False:
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c_i_in=[]
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for ll in nn.iter(link+'Point'):
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c_i_in.append([ int(np.float(ll.attrib['x'])) , int(np.float(ll.attrib['y'])) ])
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co_img.append(np.array(c_i_in))
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elif bool(co_it.attrib)==True and 'points' in co_it.attrib.keys():
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p_h=co_it.attrib['points'].split(' ')
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co_img.append( np.array( [ [ int(x.split(',')[0]) , int(x.split(',')[1]) ] for x in p_h] ) )
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elif tag.endswith('}SeparatorRegion') or tag.endswith('}Separatorregion') or tag.endswith('}separatorRegion') or tag.endswith('}separatorregion'):
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for nn in root1.iter(tag):
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for co_it in nn.iter(link+'Coords'):
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if bool(co_it.attrib)==False:
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c_s_in=[]
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for ll in nn.iter(link+'Point'):
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c_s_in.append([ int(np.float(ll.attrib['x'])) , int(np.float(ll.attrib['y'])) ])
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co_sep.append(np.array(c_s_in))
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elif bool(co_it.attrib)==True and 'points' in co_it.attrib.keys():
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p_h=co_it.attrib['points'].split(' ')
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co_sep.append( np.array( [ [ int(x.split(',')[0]) , int(x.split(',')[1]) ] for x in p_h] ) )
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elif tag.endswith('}TableRegion') or tag.endswith('}tableRegion') or tag.endswith('}Tableregion') or tag.endswith('}tableregion'):
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for nn in root1.iter(tag):
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for co_it in nn.iter(link+'Coords'):
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if bool(co_it.attrib)==False:
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c_ta_in=[]
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for ll in nn.iter(link+'Point'):
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c_ta_in.append([ int(np.float(ll.attrib['x'])) , int(np.float(ll.attrib['y'])) ])
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co_table.append(np.array(c_ta_in))
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elif bool(co_it.attrib)==True and 'points' in co_it.attrib.keys():
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p_h=co_it.attrib['points'].split(' ')
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co_table.append( np.array( [ [ int(x.split(',')[0]) , int(x.split(',')[1]) ] for x in p_h] ) )
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else:
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pass
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img = np.zeros( (y_len,x_len,3) )
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img_poly=cv2.fillPoly(img, pts =co_text, color=(255,0,0))
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img_poly=cv2.fillPoly(img, pts =co_img, color=(0,255,0))
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img_poly=cv2.fillPoly(img, pts =co_sep, color=(0,0,255))
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img_poly=cv2.fillPoly(img, pts =co_table, color=(0,255,255))
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try:
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cv2.imwrite(self.output_dir+'/'+self.gt_list[index].split('-')[1].split('.')[0]+'.png',img_poly )
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except:
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cv2.imwrite(self.output_dir+'/'+self.gt_list[index].split('.')[0]+'.png',img_poly )
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except:
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pass
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np.savetxt(self.output_dir+'/../classes.txt',classes)
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if self.output_type=='2d' or self.output_type=='2D':
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for index in tqdm(range(len(self.gt_list))):
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try:
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tree1 = ET.parse(self.dir+'/'+self.gt_list[index])
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root1=tree1.getroot()
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alltags=[elem.tag for elem in root1.iter()]
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link=alltags[0].split('}')[0]+'}'
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region_tags=np.unique([x for x in alltags if x.endswith('Region')])
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for jj in root1.iter(link+'Page'):
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y_len=int(jj.attrib['imageHeight'])
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x_len=int(jj.attrib['imageWidth'])
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co_text=[]
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co_sep=[]
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co_img=[]
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co_table=[]
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for tag in region_tags:
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if tag.endswith('}TextRegion') or tag.endswith('}Textregion') or tag.endswith('}textRegion') or tag.endswith('}textregion'):
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for nn in root1.iter(tag):
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for co_it in nn.iter(link+'Coords'):
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if bool(co_it.attrib)==False:
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c_t_in=[]
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for ll in nn.iter(link+'Point'):
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c_t_in.append([ int(np.float(ll.attrib['x'])) , int(np.float(ll.attrib['y'])) ])
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co_text.append(np.array(c_t_in))
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print(co_text)
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elif bool(co_it.attrib)==True and 'points' in co_it.attrib.keys():
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p_h=co_it.attrib['points'].split(' ')
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co_text.append( np.array( [ [ int(x.split(',')[0]) , int(x.split(',')[1]) ] for x in p_h] ) )
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elif tag.endswith('}ImageRegion') or tag.endswith('}Imageregion') or tag.endswith('}imageRegion') or tag.endswith('}imageregion'):
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for nn in root1.iter(tag):
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for co_it in nn.iter(link+'Coords'):
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if bool(co_it.attrib)==False:
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c_i_in=[]
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for ll in nn.iter(link+'Point'):
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c_i_in.append([ int(np.float(ll.attrib['x'])) , int(np.float(ll.attrib['y'])) ])
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co_img.append(np.array(c_i_in))
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elif bool(co_it.attrib)==True and 'points' in co_it.attrib.keys():
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p_h=co_it.attrib['points'].split(' ')
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co_img.append( np.array( [ [ int(x.split(',')[0]) , int(x.split(',')[1]) ] for x in p_h] ) )
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elif tag.endswith('}SeparatorRegion') or tag.endswith('}Separatorregion') or tag.endswith('}separatorRegion') or tag.endswith('}separatorregion'):
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for nn in root1.iter(tag):
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for co_it in nn.iter(link+'Coords'):
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if bool(co_it.attrib)==False:
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c_s_in=[]
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for ll in nn.iter(link+'Point'):
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c_s_in.append([ int(np.float(ll.attrib['x'])) , int(np.float(ll.attrib['y'])) ])
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co_sep.append(np.array(c_s_in))
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elif bool(co_it.attrib)==True and 'points' in co_it.attrib.keys():
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p_h=co_it.attrib['points'].split(' ')
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co_sep.append( np.array( [ [ int(x.split(',')[0]) , int(x.split(',')[1]) ] for x in p_h] ) )
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elif tag.endswith('}TableRegion') or tag.endswith('}tableRegion') or tag.endswith('}Tableregion') or tag.endswith('}tableregion'):
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for nn in root1.iter(tag):
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for co_it in nn.iter(link+'Coords'):
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if bool(co_it.attrib)==False:
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c_ta_in=[]
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for ll in nn.iter(link+'Point'):
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c_ta_in.append([ int(np.float(ll.attrib['x'])) , int(np.float(ll.attrib['y'])) ])
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co_table.append(np.array(c_ta_in))
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elif bool(co_it.attrib)==True and 'points' in co_it.attrib.keys():
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p_h=co_it.attrib['points'].split(' ')
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co_table.append( np.array( [ [ int(x.split(',')[0]) , int(x.split(',')[1]) ] for x in p_h] ) )
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else:
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pass
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img = np.zeros( (y_len,x_len) )
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img_poly=cv2.fillPoly(img, pts =co_text, color=(1,1,1))
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img_poly=cv2.fillPoly(img, pts =co_img, color=(2,2,2))
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img_poly=cv2.fillPoly(img, pts =co_sep, color=(3,3,3))
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img_poly=cv2.fillPoly(img, pts =co_table, color=(4,4,4))
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try:
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cv2.imwrite(self.output_dir+'/'+self.gt_list[index].split('-')[1].split('.')[0]+'.png',img_poly )
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except:
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cv2.imwrite(self.output_dir+'/'+self.gt_list[index].split('.')[0]+'.png',img_poly )
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except:
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pass
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def run(self):
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self.get_content_of_dir()
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self.get_images_of_ground_truth()
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def main():
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parser=argparse.ArgumentParser()
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parser.add_argument('-dir_in','--dir_in', dest='inp1', default=None, help='directory of page-xml files')
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parser.add_argument('-dir_out','--dir_out', dest='inp2', default=None, help='directory where ground truth images would be written')
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parser.add_argument('-type','--type', dest='inp3', default=None, help='this defines how output should be. A 2d image array or a 3d image array encoded with RGB color. Just pass 2d or 3d. The file will be saved one directory up. 2D image array is 3d but only information of one channel would be enough since all channels have the same values.')
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options=parser.parse_args()
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possibles=globals()
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possibles.update(locals())
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x=pagexml2img(options.inp1,options.inp2,options.inp3)
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x.run()
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if __name__=="__main__":
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main()
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