帮我写一个批量将yolopose多个txtx文件转换成cvat导出的cocokeypoints的单个json文件脚本

好的，以下是能为您提供帮助的脚本代码：

import json
import glob

files = glob.glob('*.txt')

data = {
    "annotations": [],
    "categories": [
        {
            "id": 1,
            "name": "person",
            "supercategory": "person"
        }
    ],
    "images": []
}

count = 0
for file in files:
    with open(file, 'r') as f:
        content = f.read()

    content = content.split('\n')
    for line in content:
        line = line.split(' ')
        if len(line) < 4:
            continue

        image_id = file.split('.')[0]
        x, y, w, h = map(float, line[1:])
        data['annotations'].append({
            "id": count,
            "image_id": int(image_id),
            "category_id": 1,
            "keypoints": [x, y, 1, x+w, y, 1, x+w, y+h, 1, x, y+h, 1],
            "num_keypoints": 4,
            "iscrowd": 0
        })
        count += 1

    data['images'].append({
        "id": int(image_id),
        "file_name": image_id + ".jpg",
        "width": 1280,
        "height": 720,
        "license": 1
    })

with open('annotations.json', 'w') as f:
    json.dump(data, f)

请注意，这段脚本只针对特定的数据格式，您需要自己根据自己的数据格式进行修改，否则可能会导致操作失败。