labelme从json文件提取points到txt文件

最近查csdn关于labelme提取json矩形框的坐标比较少，自己写了点处理数据的代码，右键run即可

需要更改的地方
dir_json = ‘D:/JiaWong_result/json/’
dir_txt = ‘D:/JiaWong_result/res/’
改你自己的文件夹！是文件夹不是文件

第一步：写个代码看看路径对不对

import os

dir_json = 'D:/JiaWong_result/json/'
dir_txt = 'D:/JiaWong_result/res/'
if not os.path.exists(dir_txt):
    os.makedirs(dir_txt)
list_json = os.listdir(dir_json)
for cnt,json_name in enumerate(list_json):
    print('cnt=%d,name=%s'%(cnt,json_name))
    path_json = dir_json + json_name
    path_txt = dir_txt + json_name.replace('.json','.txt')
    print(path_json,path_txt)

cnt=7556,name=7557.json
D:/JiaWong_result/json/7557.json D:/JiaWong_result/res/7557.txt

用来检测是否正确提取了文件的路径，看起来对了

第二步：批量处理

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

import os
import json
import numpy as np

dir_json = 'D:/JiaWong_result/json/'
dir_txt = 'D:/JiaWong_result/res/'



# 单个json文件提取坐标至txt
def json2txt(path_json,path_txt):
    with open(path_json,'r',encoding="utf_8") as path_json:
        jsonx=json.load(path_json)
        with open(path_txt,'w+') as ftxt:
            for shape in jsonx['shapes']:
                if (shape['shape_type'] == 'rectangle' and shape['label'] == 'citrus'):
                    xy=np.array(shape['points'])
                    # label=str(shape['label'])
                    strxy = ''
                    for m,n in xy:
                        strxy+=str(m)+' '+str(n)+' '
                    # strxy+=label
                    ftxt.writelines(strxy+"n")

if __name__ == "__main__":
    #批量转换
    if not os.path.exists(dir_txt):
        os.makedirs(dir_txt)
    list_json = os.listdir(dir_json)
    for cnt,json_name in enumerate(list_json):
        print('cnt=%d,name=%s'%(cnt,json_name))
        path_json = dir_json + json_name
        path_txt = dir_txt + json_name.replace('.json','.txt')
        print(path_json,path_txt)
        json2txt(path_json, path_txt)

points全部正确提取了