labelme的安装

python2.7环境

conda create --name=labelme python=2.7
source activate labelme
conda install pyqt
pip install labelme

python3环境

conda create --name=labelme python=3.6
source activate labelme
pip install labelme

如果labelme的标签是多个人打，在转换过程中需要修改路径，修改代码

import json
import os
OldJsonPath="/media/cynere/Data/坚果云/我的坚果云/json"
newJsonPath="/media/cynere/Data/坚果云/我的坚果云/newjson"

if not os.path.exists(newJsonPath):
    os.makedirs(newJsonPath)

Files=os.listdir(OldJsonPath)
for file in Files:
    path=OldJsonPath+'/'+file
    dic=json.load(open(path,encoding='utf-8'))
    dic["imagePath"]=r'/media/cynere/Data/坚果云/我的坚果云/image1'
    newpath=newJsonPath+'/'+file
    with open(newpath,'w',encoding='utf-8') as f:
        json.dump(dic,f)

通过json生成训练数据

labelme_json_to_dataset filename.json

如果需要批量转换:这个shell即可

#!/bin/bash
 dir=`ls /media/cynere/Data/坚果云/我的坚果云/newjson/`    #定义遍历的目录 
 path="/media/cynere/Data/坚果云/我的坚果云/newjson/"      #名字与上一行相同
 for i in $dir
 do
     labelme_json_to_dataset ${path}$i
     #echo $i
 done