代码如下,参考了这篇文章:Yolov5训练自己的数据集(详细完整版)_yolov5缔宇-优快云博客 # -*- coding: utf-8 -*- import xml.etree.ElementTree as ET import os from os import getcwd sets = ['train', 'val', 'test'] classes = ["1", "2", "3"] # 改成自己的类别 abs_path = os.getcwd() print(abs_path) def convert(size, box): dw = 1. / (size[0]) dh = 1. / (size[1]) x = (box[0] + box[1]) / 2.0 - 1 y = (box[2] + box[3]) / 2.0 - 1 w = box[1] - box[0] h = box[3] - box[2] x = x * dw w = w * dw y = y * dh h = h * dh return x, y, w, h def convert_annotation(imagesid): in_file = open('C:/Users/Lenovo/Desktop/yolov5/data/mydata/annotation/%s.xml' % imagesid, encoding='UTF-8') out_file = open('C:/Users/Lenovo/Desktop/yolov5/data/mydata/labels/%s.txt' % imagesid, 'w') tree = ET.parse(in_file) root = tree.getroot() size = root.find('size') w = int(size.find('width').text) h = int(size.find('height').text) for obj in root.iter('object'): difficult = obj.find('difficult').text # difficult = obj.find('Difficult').text cls = obj.find('name').text if cls not in classes or int(difficult) == 1: continue cls_id = classes.index(cls) xmlbox = obj.find('bndbox') b = (float(xmlbox.find('xmin').text), float(xmlbox.find('xmax').text), float(xmlbox.find('ymin').text), float(xmlbox.find('ymax').text)) b1, b2, b3, b4 = b # 标注越界修正 if b2 > w: b2 = w if b4 > h: b4 = h b = (b1, b2, b3, b4) bb = convert((w, h), b) out_file.write(str(cls_id) + " " + " ".join([str(a) for a in bb]) + '\n') wd = getcwd() for image_set in sets: if not os.path.exists('C:/Users/Lenovo/Desktop/yolov5/data/mydata/labels/'): os.makedirs('C:/Users/Lenovo/Desktop/yolov5/data/mydata/labels/') image_ids = open('C:/Users/Lenovo/Desktop/yolov5/data/mydata/dataSet/Main/%s.txt' % image_set).read().strip().split() if not os.path.exists('C:/Users/Lenovo/Desktop/yolov5/data/mydata/dataSet_path/'): os.makedirs('C:/Users/Lenovo/Desktop/yolov5/data/mydata/dataSet_path/') list_file = open('dataSet_path/%s.txt' % image_set, 'w') # 这行路径不需更改,这是相对路径 for image_id in image_ids: list_file.write('C:/Users/Lenovo/Desktop/yolov5/data/mydata/image/%s.jpg\n' % image_id) convert_annotation(image_id) list_file.close()
运行之后出现下图警报。文件的绝对路径检查过应该是没有问题,文件权限也检查过了。也看了很多大佬的文章,但是依然没能找到解决方法。求大佬给个解决方法,感谢。