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103 lines
3.7 KiB
Python
103 lines
3.7 KiB
Python
# 标签xml转txt以及无xml的负样本空txt
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import xml.etree.ElementTree as ET
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import os, cv2
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from os import getcwd
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sets = ['train', 'val', 'test']
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classes = ['tag', 'bandage', 'word', 'package']
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def convert(size, box):
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dw = 1. / (size[0])
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dh = 1. / (size[1])
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x = (box[0] + box[1]) / 2.0 - 1
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y = (box[2] + box[3]) / 2.0 - 1
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w = box[1] - box[0]
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h = box[3] - box[2]
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x = x * dw
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y = y * dh
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w = w * dw
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h = h * dh
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return x, y, w, h
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def convert_annotation(image_id, imgname_list, label_path, Annotation_path, image_path):
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out_file = open(label_path + '%s.txt' % (image_id), 'w')
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if os.path.exists(Annotation_path + '%s.xml' % (image_id)):
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try:
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in_file = open(Annotation_path + '%s.xml' % (image_id), encoding='UTF-8')
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tree = ET.parse(in_file)
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root = tree.getroot()
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size = root.find('size')
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# if size!=None:
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# w = int(size.find('width').text)
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# h = int(size.find('height').text)
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# else:
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img_name = image_id + ".jpg"
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img_path = image_path + f"{img_name}"
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img_data_ = cv2.imread(img_path)
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h, w = img_data_.shape[0], img_data_.shape[1]
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for obj in root.iter('object'):
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# difficult = obj.find('difficult').text
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# difficult = obj.find('Difficult').text
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cls = obj.find('name').text
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# cls = cls[:13]
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# print("cls:", cls, len(cls))
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# if cls not in classes or int(difficult) == 1:
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# continue
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try:
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cls_id = classes.index(cls)
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xmlbox = obj.find('bndbox')
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b = (
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float(xmlbox.find('xmin').text), float(xmlbox.find('xmax').text),
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float(xmlbox.find('ymin').text),
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float(xmlbox.find('ymax').text))
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b1, b2, b3, b4 = b
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# 标注越界修正
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if b2 > w:
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b2 = w
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if b4 > h:
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b4 = h
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b = (b1, b2, b3, b4)
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bb = convert((w, h), b)
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out_file.write(str(cls_id) + " " + " ".join([str(a) for a in bb]) + '\n')
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except Exception as e:
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print(e, image_id)
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imgname_list.append(image_id)
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except Exception as e:
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print('error:', e, image_id)
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else:
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out_file.write('\n')
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# abs_path = os.getcwd()
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image_path = '/home/lc/data_center/gift/v2/images/' # img实际存放地址
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Annotation_path = '/home/lc/data_center/gift/v2/xmls/' # xml实际存放地址
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label_path = '/home/lc/data_center/gift/v2/labels/' # 保存路径
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# wd = getcwd()
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imgname_list = []
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for image_set in sets:
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if not os.path.exists(label_path):
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os.makedirs(label_path)
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# image_ids = open('data/ImageSets/Main/%s.txt' % (image_set), encoding='gbk').read().strip().split()
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# image_ids = open('data/ImageSets/Main_0820/%s.txt' % (image_set)).read().strip().split()
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image_ids = open('/home/lc/data_center/gift/yolov10_data/Main/%s.txt' % (image_set)).read().split('\n')
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list_file = open('/home/lc/data_center/gift/yolov10_data/%s.txt' % (image_set), 'w')
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for image_id in image_ids:
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list_file.write(image_path + '%s.jpg\n' % (image_id))
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# print(image_id, "Converting...")
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convert_annotation(image_id, imgname_list, label_path, Annotation_path, image_path)
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list_file.close()
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with open('error_img.txt', 'w+') as f:
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for i_name in imgname_list:
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f.write(i_name + '\n')
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print("error imgname_list:", imgname_list)
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