数据集按比例划分、格式转换（xml转txt、txt转xml）和数据整合

格式转换

1. xml转yolo txt

import xml.etree.ElementTree as ET
import pickle
import os
from os import listdir, getcwd
from os.path import join
 
def convert(size, box):
    # size=(width, height)  b=(xmin, xmax, ymin, ymax)
    # x_center = (xmax+xmin)/2        y_center = (ymax+ymin)/2
    # x = x_center / width            y = y_center / height
    # w = (xmax-xmin) / width         h = (ymax-ymin) / height
    
    x_center = (box[0]+box[1])/2.0
    y_center = (box[2]+box[3])/2.0
    x = x_center / size[0]
    y = y_center / size[1]
 
    w = (box[1] - box[0]) / size[0]
    h = (box[3] - box[2]) / size[1]
 
    # print(x, y, w, h)
    return (x,y,w,h)
 
def convert_annotation(xml_files_path, save_txt_files_path, classes):  
    xml_files = os.listdir(xml_files_path)
    # print(xml_files)
    for xml_name in xml_files:
        # print(xml_name)
        xml_file = os.path.join(xml_files_path, xml_name)
        out_txt_path = os.path.join(save_txt_files_path, xml_name.split('.')[0] + '.txt')
        out_txt_f = open(out_txt_path, 'w')
        tree=ET.parse(xml_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
            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))
            # b=(xmin, xmax, ymin, ymax)
            # print(w, h, b)
            bb = convert((w,h), b)
            out_txt_f.write(str(cls_id) + " " + " ".join([str(a) for a in bb]) + '\n')
 
 
if __name__ == "__main__":
    # 把forklift_pallet的voc的xml标签文件转化为yolo的txt标签文件
    # 1、需要转化的类别
    classes = ['forklift_pallet']#注意：这里根据自己的类别名称及种类自行更改
    # 2、voc格式的xml标签文件路径
    xml_files1 = r'/home/wangmj/pallet_data/Annotations'
    # 3、转化为yolo格式的txt标签文件存储路径
    save_txt_files1 = r'/home/wangmj/pallet_data/test'
 
    convert_annotation(xml_files1, save_txt_files1, classes)

2. yolo .txt转xml

import os
import xml.etree.ElementTree as ET
from xml.etree.ElementTree import Element, SubElement
from PIL import Image


class Xml_make(object):
    def __init__(self):
        super()