python之json文件转xml文件代码示例解析

作者:袖梨 2022-06-25

本篇文章小编给大家分享一下python之json文件转xml文件代码示例解析,文章代码介绍的很详细,小编觉得挺不错的,现在分享给大家供大家参考,有需要的小伙伴们可以来看看。

json文件格式

这是yolov4模型跑出来的检测结果result.json

下面是截取的一张图的检测结果

{
 "frame_id":1, #图片的序号
 "filename":"/media/wuzhou/Gap/rgb-piglet/test/00000000.jpg", #图片的路径
 "objects": [ #该图中所有的目标:目标类别、目标名称、归一化的框的坐标(xywh格式)、置信度
  {"class_id":0, "name":"pp", "relative_coordinates":{"center_x":0.750913, "center_y":0.402691, "width":0.038380, "height":0.193304}, "confidence":0.995435}, 
  {"class_id":0, "name":"pp", "relative_coordinates":{"center_x":0.764775, "center_y":0.199255, "width":0.049979, "height":0.130169}, "confidence":0.994495}, 
  {"class_id":0, "name":"pp", "relative_coordinates":{"center_x":0.560050, "center_y":0.482614, "width":0.036331, "height":0.166377}, "confidence":0.994460}, 
  {"class_id":0, "name":"pp", "relative_coordinates":{"center_x":0.710756, "center_y":0.406446, "width":0.041782, "height":0.191297}, "confidence":0.993540}, 
  {"class_id":0, "name":"pp", "relative_coordinates":{"center_x":0.638335, "center_y":0.238725, "width":0.107689, "height":0.092282}, "confidence":0.992926}, 
  {"class_id":0, "name":"pp", "relative_coordinates":{"center_x":0.780232, "center_y":0.448454, "width":0.041550, "height":0.179540}, "confidence":0.990020}, 
  {"class_id":0, "name":"pp", "relative_coordinates":{"center_x":0.563412, "center_y":0.350035, "width":0.103184, "height":0.059460}, "confidence":0.979756}, 
  {"class_id":0, "name":"pp", "relative_coordinates":{"center_x":0.522591, "center_y":0.195170, "width":0.083014, "height":0.071478}, "confidence":0.970642}, 
  {"class_id":0, "name":"pp", "relative_coordinates":{"center_x":0.658721, "center_y":0.154640, "width":0.103852, "height":0.055686}, "confidence":0.967082}, 
  {"class_id":0, "name":"pp", "relative_coordinates":{"center_x":0.537660, "center_y":0.256810, "width":0.101619, "height":0.095211}, "confidence":0.918135}, 
  {"class_id":0, "name":"pp", "relative_coordinates":{"center_x":0.528618, "center_y":0.481005, "width":0.033226, "height":0.177723}, "confidence":0.310291}
 ] 
}, 

完整代码

代码需要指定图片的路径,例如 file_dir = "H:/rgb-piglet/five/test"

注意:result.json文件要跟图片放一起

代码生成的xml与图片在同一个路径下

import json
import time
import os
from PIL import Image
import cv2
import numpy as np

'''人为构造xml文件的格式'''
out0 ='''
    %(folder)s
    %(name)s
    %(path)s
    
        None
    
    
        %(width)d
        %(height)d
        3
    
    0
'''
out1 = '''    
        %(class)s
        Unspecified
        0
        0
        
            %(xmin)d
            %(ymin)d
            %(xmax)d
            %(ymax)d
        
    
'''

out2 = '''
'''

def read_json(json_dir):
    with open(json_dir,"r") as f:
        data = json.load(f)
        print(type(data),len(data),type(data[0]),data[0]['frame_id'])
    return data


'''txt转xml函数'''
def translate(fdir,lists): 
    source = {}
    label = {}
    data = read_json(fdir+"/result.json")
    k = 0
    for jpg in lists:
        print(jpg)
        if jpg[-4:] == '.jpg':
            image= cv2.imread(jpg)#路径不能有中文
            h,w,_ = image.shape #图片大小
            
            fxml = jpg.replace('.jpg','.xml')
            fxml = open(fxml, 'w');
            imgfile = jpg.split('/')[-1]
            source['name'] = imgfile 
            source['path'] = jpg
            source['folder'] = os.path.basename(fdir)

            source['width'] = w
            source['height'] = h
            
            fxml.write(out0 % source)
                       
            for obj in data[k]["objects"]:
                label['class'] = obj["class_id"]
                box = obj["relative_coordinates"]
                
                '''把txt上的数字(归一化)转成xml上框的坐标'''
                xmin = float(box["center_x"] - 0.5*box["width"])*w
                ymin = float(box["center_y"] - 0.5*box["height"])*h
                xmax = float(xmin + box["width"]*w)
                ymax = float(ymin + box["height"]*h)
                
                label['xmin'] = xmin
                label['ymin'] = ymin
                label['xmax'] = xmax
                label['ymax'] = ymax
                    
                fxml.write(out1 % label)
                
            k = k+1
            fxml.write(out2)

if __name__ == '__main__':
    file_dir = "H:/rgb-piglet/five/test"
    lists=[]
    for i in os.listdir(file_dir):
        if i[-3:]=='jpg':
            lists.append(file_dir+'/'+i)       
    #print(lists)
    translate(file_dir,lists)
    print('---------------Done!!!--------------')            
                

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