json文件批量转为txt文件

小鱼儿 2024-04-01 15:01 112阅读 0赞

### json文件批量转为txt文件 ###

#### 1 批量json标注文件: ####

![在这里插入图片描述][35da1dc3938940dfb57352530c15abd2.png]

#### 2 json所对应的各个图片： ####

![在这里插入图片描述][76d5c5cdacb84419b36cd3d55770af4e.png]

#### 3 每个json文件内容: ####

[
     {
        
      "type": 1,
      "x": 1168,
      "y": 639,
      "width": 457,
      "height": 245,
      "segmentation": []
     },
     {
        
      "type": 1,
      "x": 831,
      "y": 626,
      "width": 77,
      "height": 57,
      "segmentation": []
     },
     {
        
      "type": 1,
      "x": 810,
      "y": 627,
      "width": 36,
      "height": 48,
      "segmentation": []
     },
     {
        
      "type": 2,
      "x": 753,
      "y": 628,
      "width": 44,
      "height": 52,
      "segmentation": []
     },
     {
        
      "type": 1,
      "x": 615,
      "y": 619,
      "width": 31,
      "height": 22,
      "segmentation": []
     }
    ]

#### 4 代码转换（python） ####

import os
    import json
    from PIL import Image
    
    
    json_dir = 'D:/train/label_json'  # json文件路径
    out_dir = 'D:/train/label_txt/'  # 输出的 txt 文件路径
    
    
    def get_json(json_file, filename):
        # 读取 json 文件数据
        with open(json_file, 'r') as load_f:
            content = json.load(load_f)
    
        file_path = 'D:/train/image/'+filename+'.jpg' # 每个json文件对应的图片文件路径
        img = Image.open(file_path)
        # imgSize = img.size  # 大小/尺寸
        image_width = img.width  # 图片的宽
        image_height = img.height  # 图片的高
    
        filename_txt = out_dir + filename+'.txt'
    
        # 创建txt文件
        fp = open(filename_txt, mode="w", encoding="utf-8")
        # 将数据写入文件
        #fp.close()
        for t in content:
            if(t['type']<=7):
                # 计算 yolo 数据格式所需要的中心点的 相对 x, y 坐标, w,h 的值
                x = (t['x'] + t['width']/ 2) / image_width #归一化
                y = (t['y']+ t['height']/ 2 )/ image_height #归一化
                w = t['width']/ image_width #归一化
                h = t['height'] / image_height #归一化
                fp = open(filename_txt, mode="r+", encoding="utf-8")
                file_str = str(t['type']-1) + ' ' + str(round(x, 6)) + ' ' + str(round(y, 6)) + ' ' + str(round(w, 6)) + \
                           ' ' + str(round(h, 6))
                line_data = fp.readlines()
    
                if len(line_data) != 0:
                    fp.write('\n' + file_str)
                else:
                    fp.write(file_str)
                fp.close()
    
    def main():
        files = os.listdir(json_dir)  # 得到文件夹下的所有文件名称
        s = []
        for file in files:  # 遍历文件夹
            filename = file.split('.')[0]
            get_json(json_dir+'/'+file, filename)
    
    
    if __name__ == '__main__':
        main()

#### 5 转换成功后txt文件： ####

![在这里插入图片描述][2f47ddc225604141bc9f51faa216a36f.png]

#### 6 转换成功后txt文件内容： ####

0 0.727344 0.705093 0.238021 0.226852
    0 0.452865 0.606019 0.040104 0.052778
    0 0.43125 0.602778 0.01875 0.044444
    1 0.403646 0.605556 0.022917 0.048148
    0 0.328385 0.583333 0.016146 0.02037

[35da1dc3938940dfb57352530c15abd2.png]: https://image.dandelioncloud.cn/pgy_files/images/2024/04/01/b85477242982413f82d40958f04a70ea.png
[76d5c5cdacb84419b36cd3d55770af4e.png]: https://image.dandelioncloud.cn/pgy_files/images/2024/04/01/9cb1a18908854272ac6e7ba0f70ce826.png
[2f47ddc225604141bc9f51faa216a36f.png]: https://image.dandelioncloud.cn/pgy_files/images/2024/04/01/a96a5ab1fd4d431d951c516dd0b3ae8f.png