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Quadrilateral bounding box to LabelImg xml generation
import numpy as np
from pathlib import Path
import xml.etree.cElementTree as ET
from PIL import Image
def create_labimg_xml(image_path, annotation_list):
image_path = Path(image_path)
img = np.array(Image.open(image_path).convert('RGB'))
annotation = ET.Element('annotation')
ET.SubElement(annotation, 'folder').text = str(image_path.parent.name)
ET.SubElement(annotation, 'filename').text = str(image_path.name)
ET.SubElement(annotation, 'path').text = str(image_path)
source = ET.SubElement(annotation, 'source')
ET.SubElement(source, 'database').text = 'Unknown'
size = ET.SubElement(annotation, 'size')
ET.SubElement(size, 'width').text = str (img.shape[1])
ET.SubElement(size, 'height').text = str(img.shape[0])
ET.SubElement(size, 'depth').text = str(img.shape[2])
ET.SubElement(annotation, 'segmented').text = '0'
for annot in annotation_list:
tmp_annot = annot.split(',')
cords, label = tmp_annot[0:-2], tmp_annot[-1]
xmin, ymin, xmax, ymax = cords[0], cords[1], cords[4], cords[5]
object = ET.SubElement(annotation, 'object')
ET.SubElement(object, 'name').text = label
ET.SubElement(object, 'pose').text = 'Unspecified'
ET.SubElement(object, 'truncated').text = '0'
ET.SubElement(object, 'difficult').text = '0'
bndbox = ET.SubElement(object, 'bndbox')
ET.SubElement(bndbox, 'xmin').text = str(xmin)
ET.SubElement(bndbox, 'ymin').text = str(ymin)
ET.SubElement(bndbox, 'xmax').text = str(xmax)
ET.SubElement(bndbox, 'ymax').text = str(ymax)
tree = ET.ElementTree(annotation)
xml_file_name = image_path.parent / (image_path.name.split('.')[0]+'.xml')
tree.write(xml_file_name)
# ----------------------------------------------------------------------------------
anotation_list = ['291,473,385,481,383,504,289,496,Hello',
'270,507,330,507,330,516,270,516,SUPERLATIVE']
create_labimg_xml('data/demo.jpg', anotation_list)
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