rm pagexml2imag
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<?xml version="1.0" encoding="UTF-8"?>
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<projectDescription>
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<name>toolbox_pagexml2img</name>
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<comment></comment>
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<projects>
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</projects>
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<buildSpec>
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<buildCommand>
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<name>org.python.pydev.PyDevBuilder</name>
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<arguments>
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</arguments>
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</buildCommand>
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</buildSpec>
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<natures>
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<nature>org.python.pydev.pythonNature</nature>
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</natures>
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<linkedResources>
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<link>
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<name>setup.py</name>
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<type>1</type>
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<location>/home/vahid/workspace/toolbox_pagexml2img/setup.py</location>
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</link>
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</linkedResources>
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</projectDescription>
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<?xml version="1.0" encoding="UTF-8" standalone="no"?>
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<?eclipse-pydev version="1.0"?><pydev_project>
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<pydev_pathproperty name="org.python.pydev.PROJECT_SOURCE_PATH">
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<path>/${PROJECT_DIR_NAME}</path>
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</pydev_pathproperty>
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<pydev_property name="org.python.pydev.PYTHON_PROJECT_VERSION">python interpreter</pydev_property>
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<pydev_property name="org.python.pydev.PYTHON_PROJECT_INTERPRETER">Default</pydev_property>
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</pydev_project>
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from pagexml2img import *
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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],[255,0,0],[0,255,0],[0,0,255]])
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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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for jj in root1.iter('{http://schema.primaresearch.org/PAGE/gts/pagecontent/2010-03-19}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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for nn in root1.iter('{http://schema.primaresearch.org/PAGE/gts/pagecontent/2010-03-19}TextRegion'):
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c_t_in=[]
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for ll in nn.iter('{http://schema.primaresearch.org/PAGE/gts/pagecontent/2010-03-19}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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for nn in root1.iter('{http://schema.primaresearch.org/PAGE/gts/pagecontent/2010-03-19}ImageRegion'):
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c_i_in=[]
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for ll in nn.iter('{http://schema.primaresearch.org/PAGE/gts/pagecontent/2010-03-19}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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for nn in root1.iter('{http://schema.primaresearch.org/PAGE/gts/pagecontent/2010-03-19}SeparatorRegion'):
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c_s_in=[]
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for ll in nn.iter('{http://schema.primaresearch.org/PAGE/gts/pagecontent/2010-03-19}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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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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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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for jj in root1.iter('{http://schema.primaresearch.org/PAGE/gts/pagecontent/2010-03-19}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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for nn in root1.iter('{http://schema.primaresearch.org/PAGE/gts/pagecontent/2010-03-19}TextRegion'):
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c_t_in=[]
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for ll in nn.iter('{http://schema.primaresearch.org/PAGE/gts/pagecontent/2010-03-19}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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for nn in root1.iter('{http://schema.primaresearch.org/PAGE/gts/pagecontent/2010-03-19}ImageRegion'):
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c_i_in=[]
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for ll in nn.iter('{http://schema.primaresearch.org/PAGE/gts/pagecontent/2010-03-19}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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for nn in root1.iter('{http://schema.primaresearch.org/PAGE/gts/pagecontent/2010-03-19}SeparatorRegion'):
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c_s_in=[]
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for ll in nn.iter('{http://schema.primaresearch.org/PAGE/gts/pagecontent/2010-03-19}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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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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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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Binary file not shown.
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Metadata-Version: 1.0
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Name: pagexml2img
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Version: 1.0
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Summary: UNKNOWN
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Home-page: UNKNOWN
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Author: UNKNOWN
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Author-email: UNKNOWN
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License: UNKNOWN
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Description-Content-Type: UNKNOWN
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Description: UNKNOWN
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Platform: UNKNOWN
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setup.py
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pagexml2img/__init__.py
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pagexml2img/pagexml2img.py
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pagexml2img.egg-info/PKG-INFO
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pagexml2img.egg-info/SOURCES.txt
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pagexml2img.egg-info/dependency_links.txt
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pagexml2img.egg-info/top_level.txt
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pagexml2img
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