如何高效使用python生成labelme空白json文件

• 生成空白的json文件：主要用于模型训练时必须要有标注文件的情况，因此生成对应负样本的空白标注文件

import numpy as np
import os
import cv2
import base64
import json

def main():
    img_path = '图片路径'
    save_json_add = '保存json文件的路径'
    imagelist = os.listdir(img_path)
    for image in imagelist:
        image_pre, ext = os.path.splitext(image)
        img_file = img_path + image
        img = cv2.imdecode(np.fromfile(img_file, dtype=np.uint8), cv2.IMREAD_COLOR)
        print(img_file)
        height, width, channel = img.shape
        j = {
            "version": "4.5.6",
            "flags": {},
            "shapes": [],
            "imagePath": "{}.jpg".format(image_pre),
            "imageData": None,
            "imageHeight": height,
            "imageWidth": width
        }
        if not os.path.exists(save_json_add):
            os.makedirs(save_json_add)
        json_path = save_json_add + image_pre + '.json'
        with open(json_path, 'w') as f:
            json.dump(j, f, indent=6)
        print('json_success')

if __name__ == '__main__':
    main()