dbnet ICPAR2015数据集json格式制作

• 说明
• • json格式
  • 代码

dbnet代码选自https://github.com/WenmuZhou/DBNet.pytorch，训练时数据集信息以json导入，但是官方ICPAR2015数据集下载数据是txt格式因此会出现错误：FileNotFoundError: [Errno 2] No such file or directory: ‘datasetstrain.json’ 因此进行修改

从该博主找到json数据格式http://t.csdn.cn/ZJRog。写一个脚本实现制作该json数据集

代码改编自http://t.csdn.cn/cxApa

#coding:utf-8

import json
import os

def writeToJson(filePath,data):
    fb = open(filePath,'w',encoding='utf-8')
    # json.dumps(data).decode('unicode-escape')
    fb.write(json.dumps(data,indent=2,ensure_ascii=False)) # ,encoding='utf-8'
    fb.close()

def txt2json(imagePath,txtPath,savePath):
    txtName = os.listdir(txtPath)
    imgName = os.listdir(imagePath)
    content = {}
    datalist=[]
    for i in txtName:
        with open(txtPath+'/'+i,'r', encoding='UTF-8-sig') as f:
            content1={}
            line  =  f.readlines() #忽略/n
            #print(int(i[-5:-4]) - 1)
            content1['img_name'] = imgName[int(i[-5:-4]) - 1]
            txt=[]
            for j in range(len(line)):
                content2={}
                list = line[j].splitlines()
                list = list[0].split(',')
                #print([int(list[0]),int(list[1])])
                xy=[]
                for k in [0,2,4,6]:
                    xy.append([int(list[k]),int(list[k+1])])
                content2['polygon']=xy
                content2['text']=list[8]
                if list[8]=='###':
                    content2['illegibility']=True
                else:
                    content2['illegibility']=False
                content2['language']="Latin"
                #print(content2)
                txt.append(content2)
                content2['chars']=[
                    {
                        "polygon": [],
                        "char": "",
                        "illegibility": False,
                        "language": "Latin"
                    }
                ]
            content1['annotations'] = txt
        datalist.append(content1)
    content['data_root']="datasets/train/img"
    content['data_list']=datalist
    #print(content)
    writeToJson(savePath, content)




if __name__=='__main__':
    imagePath=r'C:UsersAdministratorDesktopDBNet.pytorch-masterdatasetstrainimg'
    txtPath=r'C:UsersAdministratorDesktopDBNet.pytorch-masterdatasetstraingt'
    savePath=r'C:UsersAdministratorDesktopDBNet.pytorch-masterdatasetstrain.json'
    txt2json(imagePath,txtPath,savePath)