點選檢視程式碼
# -*- coding: utf-8 -*-
import json
import os
import argparse
from tqdm import tqdm
import glob
import cv2
import numpy as np
def convert_label_json(json_dir, save_dir, classes):
json_paths = os.listdir(json_dir)
classes = classes.split(',')
for json_path in tqdm(json_paths):
# for json_path in json_paths:
path = os.path.join(json_dir, json_path)
# print(path)
with open(path, 'r') as load_f:
print(load_f)
json_dict = json.load(load_f, )
h, w = json_dict['imageHeight'], json_dict['imageWidth']
# save txt path
txt_path = os.path.join(save_dir, json_path.replace('json', 'txt'))
txt_file = open(txt_path, 'w')
for shape_dict in json_dict['shapes']:
label = shape_dict['label']
label_index = classes.index(label)
points = shape_dict['points']
points_nor_list = []
for point in points:
points_nor_list.append(point[0] / w)
points_nor_list.append(point[1] / h)
points_nor_list = list(map(lambda x: str(x), points_nor_list))
points_nor_str = ' '.join(points_nor_list)
label_str = str(label_index) + ' ' + points_nor_str + '\n'
txt_file.writelines(label_str)
if __name__ == "__main__":
parser = argparse.ArgumentParser(description='json convert to txt params')
parser.add_argument('--json-dir', type=str, default='D:/work/wugong/ultralytics-main/ultralytics/mydata/segdata/labels/json', help='json path dir')
parser.add_argument('--save-dir', type=str, default='D:/work/wugong/ultralytics-main/ultralytics/mydata/segdata/labels/txt', help='txt save dir')
parser.add_argument('--classes', type=str, default='HuaHen, BianXing, QueShi, YiWu, YangHua, ZangWu, LouTong, ZhanXi, ZaZhi, _background_', help='classes')
args = parser.parse_args()
json_dir = args.json_dir
save_dir = args.save_dir
classes = args.classes
convert_label_json(json_dir, save_dir, classes)