格式转化——Labelme标注好的json文件批量转为png（标签）文件（物体为红色，背景为黑色）和jpg原图

作用如题目，批量将标注好的json文件转成png标签，jpg原图，其中标签时红黑图。

代码如下：

import argparse
import base64
import json
import os
import os.path as osp
import imgviz
import PIL.Image
import yaml
from labelme.logger import logger
from labelme import utils'''single json file'''
def main():logger.warning("This script is aimed to demonstrate how to convert the ""JSON file to a single image dataset.")logger.warning("It won't handle multiple JSON files to generate a ""real-use dataset.")parser = argparse.ArgumentParser()#parser.add_argument("json_file")parser.add_argument('--jsonfiles', nargs='?', const=True, default="datasets//before", help='resume most recent training') #设置输入路径  将default里面的路径转成json文件下的路径parser.add_argument("-o", "--out", default="datasets//png")  #设置输出路径 default里面的路径改为要存放标签png和原图jpg的路径args = parser.parse_args()import globjsonfiles = glob.glob(args.jsonfiles+"/*.json")print(jsonfiles)for json_file in jsonfiles:if args.out is None:out_dir = osp.basename(json_file).replace(".", "_")out_dir = osp.join(osp.dirname(json_file), out_dir)else:out_dir = args.outif not osp.exists(out_dir):os.mkdir(out_dir)data = json.load(open(json_file))imageData = data.get("imageData")if not imageData:imagePath = os.path.join(os.path.dirname(json_file), data["imagePath"])with open(imagePath, "rb") as f:imageData = f.read()imageData = base64.b64encode(imageData).decode("utf-8")img = utils.img_b64_to_arr(imageData)label_name_to_value = {"_background_": 0}for shape in sorted(data["shapes"], key=lambda x: x["label"]):label_name = shape["label"]if label_name in label_name_to_value:label_value = label_name_to_value[label_name]else:label_value = len(label_name_to_value)label_name_to_value[label_name] = label_valuelbl, _ = utils.shapes_to_label(img.shape, data["shapes"], label_name_to_value)label_names = [None] * (max(label_name_to_value.values()) + 1)for name, value in label_name_to_value.items():label_names[value] = namelbl_viz = imgviz.label2rgb(label=lbl, image=imgviz.asgray(img), label_names=label_names, loc="rb")label_name  = json_file.split('\\')[-1].replace('.json','.png')image_name  = json_file.split('\\')[-1].replace('.json','.jpg')PIL.Image.fromarray(img).save(osp.join(out_dir, image_name))utils.lblsave(osp.join(out_dir, label_name), lbl)PIL.Image.fromarray(lbl_viz).save(osp.join(out_dir, "label_viz.png"))with open(osp.join(out_dir, "label_names.txt"), "w") as f:for lbl_name in label_names:f.write(lbl_name + "\n")# 生成info.yaml文件# logger.warning('info.yaml is being replaced by label_names.txt')# info = dict(label_names=label_names)# with open(osp.join(out_dir, 'info.yaml'), 'w') as f:#     yaml.safe_dump(info, f, default_flow_style=False)logger.info("Saved to: {}".format(out_dir))if __name__ == "__main__":main()