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import json import os import argparse from tqdm import tqdm 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) with open(path, 'r') as 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__": """ python json2txt_nomalize.py --json-dir my_datasets/color_rings/jsons --save-dir my_datasets/color_rings/txts --classes "cat,dogs" """ parser = argparse.ArgumentParser(description='json convert to txt params') parser.add_argument('--json-dir', type=str,default="E:\\before", help='json path dir') parser.add_argument('--save-dir', type=str,default="E:\\yolov5_txt", help='txt save dir') parser.add_argument('--classes', type=str,default="a1", 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)
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