labelme标注后的数据根据面积过滤，把小面积的多边形改成另一种标签

修改前

代码：

点击查看代码

import cv2
import numpy as np
import json
def remove_specific_labels(json_file):# 读取JSON文件with open(json_file, 'r') as f:data = json.load(f)data_small=dataif"shapes" in data:new_shapes=[]new_shapes_small=[]# 提取闭合区域的轮廓contours = []for shape in data['shapes']:points = np.array(shape['points'], np.int32)area=cv2.contourArea(points)if(area>600):new_shapes.append(shape)else:shape["label"]="small_ban"new_shapes.append(shape)print("")# print("闭合区域的面积为", cv2.contourArea(points))# contours.append(points)data["shapes"]=new_shapes# data_small["shapes"]=new_shapes_smallwith open(json_file,'w',encoding='utf-8')as f:json.dump(data,f,ensure_ascii=False,indent=4)# with open(r"D:\gzj\pic\SEE\0827\backup\small.json",'w',encoding='utf-8')as f:#     json.dump(data_small,f,ensure_ascii=False,indent=4)
if __name__ == '__main__':remove_specific_labels(r'D:\gzj\pic\SEE\0827\Z003.json')#E:\SVN\08代码交接\granule_server_cngr_2\granule_server_cngr_2

修改后：