.txt(yolo)和.xml(VOC)数据集标签格式互相转换
前言:博主在处理目标检测数据集时,经常需要将标签进行不同格式的转换,因此整理了以下代码,以供参考和保存。
一、实现将txt格式转换成xml格式:
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# 将txt格式转换成xml格式数据集
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from xml.dom.minidom import Document
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import os
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import cv2
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def makexml(picPath, txtPath, xmlPath): # txt所在文件夹路径,xml文件保存路径,图片所在文件夹路径
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"""此函数用于将yolo格式txt标注文件转换为voc格式xml标注文件
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在自己的标注图片文件夹下建三个子文件夹,分别命名为picture、txt、xml
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"""
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#创建字典用来对类型进行转换,要与classes.txt文件中的类对应,且顺序要一致
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dic = {'0': "person", '1': "car", '2': "bike", '3': "color_cone",
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'4': "car_stop", '5': "bump", '6': "hole", '7': "animal"}
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files = os.listdir(txtPath)
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for i, name in enumerate(files):
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xmlBuilder = Document()
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annotation = xmlBuilder.createElement("annotation") # 创建annotation标签
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xmlBuilder.appendChild(annotation)
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txtFile = open(txtPath name)
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txtList = txtFile.readlines()
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img = cv2.imread(picPath name[0:-4] ".png") # 注意这里的图片后缀,.jpg/.png
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Pheight, Pwidth, Pdepth = img.shape
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folder = xmlBuilder.createElement("folder") # folder标签
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foldercontent = xmlBuilder.createTextNode("datasetRGB")
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folder.appendChild(foldercontent)
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annotation.appendChild(folder)
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filename = xmlBuilder.createElement("filename") # filename标签
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filenamecontent = xmlBuilder.createTextNode(name[0:-4] ".png")
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filename.appendChild(filenamecontent)
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annotation.appendChild(filename)
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size = xmlBuilder.createElement("size") # size标签
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width = xmlBuilder.createElement("width") # size子标签width
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widthcontent = xmlBuilder.createTextNode(str(Pwidth))
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width.appendChild(widthcontent)
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size.appendChild(width)
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height = xmlBuilder.createElement("height") # size子标签height
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heightcontent = xmlBuilder.createTextNode(str(Pheight))
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height.appendChild(heightcontent)
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size.appendChild(height)
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depth = xmlBuilder.createElement("depth") # size子标签depth
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depthcontent = xmlBuilder.createTextNode(str(Pdepth))
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depth.appendChild(depthcontent)
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size.appendChild(depth)
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annotation.appendChild(size)
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for j in txtList:
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oneline = j.strip().split(" ")
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object = xmlBuilder.createElement("object") # object 标签
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picname = xmlBuilder.createElement("name") # name标签
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namecontent = xmlBuilder.createTextNode(dic[oneline[0]])
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picname.appendChild(namecontent)
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object.appendChild(picname)
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pose = xmlBuilder.createElement("pose") # pose标签
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posecontent = xmlBuilder.createTextNode("Unspecified")
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pose.appendChild(posecontent)
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object.appendChild(pose)
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truncated = xmlBuilder.createElement("truncated") # truncated标签
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truncatedContent = xmlBuilder.createTextNode("0")
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truncated.appendChild(truncatedContent)
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object.appendChild(truncated)
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difficult = xmlBuilder.createElement("difficult") # difficult标签
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difficultcontent = xmlBuilder.createTextNode("0")
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difficult.appendChild(difficultcontent)
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object.appendChild(difficult)
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bndbox = xmlBuilder.createElement("bndbox") # bndbox标签
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xmin = xmlBuilder.createElement("xmin") # xmin标签
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mathData = int(((float(oneline[1])) * Pwidth 1) - (float(oneline[3])) * 0.5 * Pwidth)
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xminContent = xmlBuilder.createTextNode(str(mathData))
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xmin.appendChild(xminContent)
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bndbox.appendChild(xmin)
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ymin = xmlBuilder.createElement("ymin") # ymin标签
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mathData = int(((float(oneline[2])) * Pheight 1) - (float(oneline[4])) * 0.5 * Pheight)
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yminContent = xmlBuilder.createTextNode(str(mathData))
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ymin.appendChild(yminContent)
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bndbox.appendChild(ymin)
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xmax = xmlBuilder.createElement("xmax") # xmax标签
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mathData = int(((float(oneline[1])) * Pwidth 1) (float(oneline[3])) * 0.5 * Pwidth)
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xmaxContent = xmlBuilder.createTextNode(str(mathData))
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xmax.appendChild(xmaxContent)
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bndbox.appendChild(xmax)
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ymax = xmlBuilder.createElement("ymax") # ymax标签
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mathData = int(((float(oneline[2])) * Pheight 1) (float(oneline[4])) * 0.5 * Pheight)
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ymaxContent = xmlBuilder.createTextNode(str(mathData))
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ymax.appendChild(ymaxContent)
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bndbox.appendChild(ymax)
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object.appendChild(bndbox) # bndbox标签结束
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annotation.appendChild(object)
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f = open(xmlPath name[0:-4] ".xml", 'w')
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xmlBuilder.writexml(f, indent='\t', newl='\n', addindent='\t', encoding='utf-8')
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f.close()
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if __name__ == "__main__":
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picPath = "C:\\data\\ir_det_dataset\\Images\\fir\\" # 图片所在文件夹路径,后面的\\一定要带上
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txtPath = "C:\\data\\ir_det_dataset\\labels\\fir\\" # txt所在文件夹路径,后面的\\一定要带上
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xmlPath = "C:\\data\\ir_det_dataset\\xml\\fir\\" # xml文件保存路径,后面的\\一定要带上
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makexml(picPath, txtPath, xmlPath)
转换之后第一行可能会出现<?xml version="1.0" encoding="utf-8"?>,这行代码声明所用的xml版本是1.0,用xml传输数据时的字符编码是utf-8,如果想去除第一行可以采用以下代码:
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import os
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def file_name(input_dir,output_dir,spile):
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for root, dirs, files in os.walk(input_dir):
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for item in files:
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f = open(input_dir item, "r", encoding='UTF-8')
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content = f.read()
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content = content.replace('<?xml version="1.0" encoding="utf-8"?>', spile)
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with open(os.path.join(output_dir, item), 'w',encoding='UTF-8') as fval:
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fval.write(content)
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f.close()
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if __name__ == '__main__':
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input_dir = "C:\\data\\ir_det_dataset\\xml\\fir\\" #旧文件夹
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output_dir = "C:\\data\\ir_det_dataset\\xml\\fir\\xml\\" #新文件夹
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file_name(input_dir, output_dir, "")
二、实现将txt格式转换成xml格式:
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import xml.etree.ElementTree as ET
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import os
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classes = ["person", "car", "bike", "color_cone", "car_stop", "bump", "hole", "animal"]
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# 和自己classes.txt中的类别要一个一个地对应
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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
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y = (box[2] box[3]) / 2.0
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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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w = w * dw
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y = y * dh
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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):
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in_file = open("C:\\data\\ir_det_dataset\\Images\\fir\\xml\\%s.xml" % (image_id), encoding='UTF-8')
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# in_file输入要转换的文件路径
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out_file = open("C:\\data\\ir_det_dataset\\Images\\fir\\txt\\%s.txt" % (image_id), 'w')
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# out_file输出转换后的文件路径
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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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w = int(size.find('width').text)
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h = int(size.find('height').text)
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for obj in root.iter('object'):
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cls = obj.find('name').text
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# print(cls)
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if cls not in classes:
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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 = (float(xmlbox.find('xmin').text), float(xmlbox.find('xmax').text), float(xmlbox.find('ymin').text),
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float(xmlbox.find('ymax').text))
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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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CURRENT_DIR = os.path.dirname(os.path.abspath(__file__))
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xml_path = os.path.join(CURRENT_DIR, "C:\\data\\ir_det_dataset\\Images\\fir\\xml\\")
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# xml文件路径
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# xml list
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img_xmls = os.listdir(xml_path)
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for img_xml in img_xmls:
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label_name = img_xml.split('.')[0]
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print(label_name)
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convert_annotation(label_name)
以上代码同时参考了其他博主,第一次发帖如有侵权请联系删除~
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