python工具方法 17 labelme标注的json文件转voc数据再转训练列表

支持一次性将labelme标注的json文件转化为训练列表，使用json2trainline，传入labelme_path即可

# -*- coding: utf-8 -*-

import os
import numpy as np
import codecs
import json
from glob import glob
import cv2
import shutil
from sklearn.model_selection import train_test_split
import shutil
import xml.etree.ElementTree as ET
from os import getcwd
def myprint(strr):
    print(strr)
def json2trainLine(myprint,labelme_path):
    myprint('开始加载目录，生成voc格式数据集')
    labelme_path=labelme_path+'/'
    have_json=json_label2voc(myprint,labelme_path)
    if have_json==1:
        myprint('操作完成！')
        myprint('开始将voc格式目录转化为训练列表文件')
        voc2train_line(labelme_path)
        myprint('操作完成！')
def json_label2voc(myprint,labelme_path = "pcb object detect/",saved_path = "voc_pcb/"):
    if os.path.exists(saved_path):
        shutil.rmtree(saved_path)
        
    if not os.