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import random | |
import xml.etree.ElementTree as ET | |
import cv2 | |
import numpy as np | |
class XmlViz: | |
def __init__(self, page_xml="./page_xml.xml"): | |
self.tree = ET.parse(page_xml, parser=ET.XMLParser(encoding="utf-8")) | |
self.root = self.tree.getroot() | |
self.namespace = "{http://schema.primaresearch.org/PAGE/gts/pagecontent/2013-07-15}" | |
def visualize_xml(self, background_image): | |
overlay = background_image.copy() | |
text_polygon_dict = {} | |
for textregion in self.root.findall(f".//{self.namespace}TextRegion"): | |
fill_color = (random.randint(0, 255), random.randint(0, 255), random.randint(0, 255)) | |
for textline in textregion.findall(f".//{self.namespace}TextLine"): | |
coords = textline.find(f"{self.namespace}Coords").attrib["points"].split() | |
points = [tuple(map(int, point.split(","))) for point in coords] | |
cv2.fillPoly(overlay, [np.array(points)], fill_color) | |
text = textline.find(f"{self.namespace}TextEquiv").find(f"{self.namespace}Unicode").text | |
text_polygon_dict[text] = points | |
# Blend the overlay with the original image | |
cv2.addWeighted(overlay, 0.5, background_image, 0.5, 0, background_image) | |
return background_image, text_polygon_dict | |
if __name__ == "__main__": | |
pass | |