前言

在yolo预标注的时候，想把保存的txt转换成labelme中segment的json，于是写了下面的脚本。

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1.引入库

完整代码：

import os
import json
from tqdm import tqdmdef get_image_size(image_path):from PIL import Imagewith Image.open(image_path) as img:width, height = img.sizereturn width, heightdef txt_to_json(txt_file, image_folder):image_file = os.path.join(image_folder, os.path.splitext(os.path.basename(txt_file))[0] + '.png')image_width, image_height = get_image_size(image_file)shapes = []with open(txt_file, 'r') as f:for line in f:coords = line.strip().split()if len(coords) > 1:  # 至少包含 x 和 y 两个坐标label = coords[0]points = [[float(coords[i]) * image_width, float(coords[i+1]) * image_height] for i in range(1, len(coords), 2)]shape = {"label": 'stone',"points": points,"group_id": None,"shape_type": "polygon","flags": {}}shapes.append(shape)return {"version": "5.1.1","flags": {},"shapes": shapes,"imagePath": os.path.basename(image_file),"imageData": None,"imageHeight": image_height,"imageWidth": image_width}def convert_folder_to_json(folder_path, image_folder, output_folder):os.makedirs(output_folder, exist_ok=True)for filename in tqdm(os.listdir(folder_path)):if filename.endswith('.txt'):txt_file = os.path.join(folder_path, filename)json_output_file = os.path.join(output_folder, os.path.splitext(filename)[0] + '.json')json_data = txt_to_json(txt_file, image_folder)with open(json_output_file, 'w') as json_file:json.dump(json_data, json_file, indent=4)if __name__ == '__main__':folder_path = r'C:\Users\Lenovo\Downloads\predict3\labels'  # 修改为你的标签文件夹路径image_folder = r'C:\Users\Lenovo\Downloads\predict3\images'  # 修改为你的图片文件夹路径output_folder = r'C:\Users\Lenovo\Downloads\predict3\labels_json'  # 修改为你的输出文件夹路径convert_folder_to_json(folder_path, image_folder, output_folder)

注：这里imageData非常难搞，因为labelme有加密格式，所以设置成null也是可以运行的。

注:这里只写了一个标签，大家可以根据"label": label再修改对应的！