35 lines
1.4 KiB
Python
35 lines
1.4 KiB
Python
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import xml.etree.ElementTree as ET
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from os import getcwd
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sets=[('2007', 'train'), ('2007', 'val'), ('2007', 'test')]
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classes = ["aeroplane", "bicycle", "bird", "boat", "bottle", "bus", "car", "cat", "chair", "cow", "diningtable", "dog", "horse", "motorbike", "person", "pottedplant", "sheep", "sofa", "train", "tvmonitor"]
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def convert_annotation(year, image_id, list_file):
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in_file = open('VOCdevkit/VOC%s/Annotations/%s.xml'%(year, image_id))
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tree=ET.parse(in_file)
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root = tree.getroot()
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for obj in root.iter('object'):
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difficult = obj.find('difficult').text
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cls = obj.find('name').text
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if cls not in classes or int(difficult)==1:
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continue
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cls_id = classes.index(cls)
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xmlbox = obj.find('bndbox')
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b = (int(xmlbox.find('xmin').text), int(xmlbox.find('ymin').text), int(xmlbox.find('xmax').text), int(xmlbox.find('ymax').text))
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list_file.write(" " + ",".join([str(a) for a in b]) + ',' + str(cls_id))
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wd = getcwd()
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for year, image_set in sets:
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image_ids = open('VOCdevkit/VOC%s/ImageSets/Main/%s.txt'%(year, image_set)).read().strip().split()
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list_file = open('%s_%s.txt'%(year, image_set), 'w')
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for image_id in image_ids:
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list_file.write('%s/VOCdevkit/VOC%s/JPEGImages/%s.jpg'%(wd, year, image_id))
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convert_annotation(year, image_id, list_file)
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list_file.write('\n')
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list_file.close()
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