话不多收，直接上代码，这个我也是找了好久的，分享不易，给个鼓励！（记得点赞收藏）

大家可以直接使用此代码转换你自己的数据集，路径换成你自己的就行了，注意路径格式！

1、我们的关键点数据集是coco格式的，也就是要把json文件转成txt格式的，代码如下：

import os
import json# 将目标检测框的信息转为yolo格式
def cc2yolo_bbox(img_width, img_height, bbox):dw = 1. / img_widthdh = 1. / img_heightx = bbox[0] + bbox[2] / 2.0y = bbox[1] + bbox[3] / 2.0w = bbox[2]h = bbox[3]x = format(x * dw, '.5f')w = format(w * dw, '.5f')y = format(y * dh, '.5f')h = format(h * dh, '.5f')return (x, y, w, h)# 将关键点keypoints的信息转为yolo格式
def cc2yolo_keypoints(img_width, img_height, keypoints):list = []dw = 1. / img_widthdh = 1. / img_heightkeypoint_num = len(keypoints)for i in range(keypoint_num):if i % 3 == 0:list.append(format(keypoints[i] * dw, '.5f'))if i % 3 == 1:list.append(format(keypoints[i] * dh, '.5f'))if i % 3 == 2:list.append(keypoints[i])result = tuple(list)return resultjson_file_path = r'E:\AI\pose\person_keypoints_val2017.json'
data = json.load(open(json_file_path, 'r'))
yolo_anno_path = r'E:\AI\pose\txt\/'
if not os.path.exists(yolo_anno_path):os.makedirs(yolo_anno_path)cate_id_map = {}
num = 0
for cate in data['categories']:cate_id_map[cate['id']] = numnum += 1success_count = 0  # 初始化成功转换的计数器for img in data['images']:filename = img['file_name']img_width = img['width']img_height = img['height']img_id = img['id']yolo_txt_name = filename.split('.')[0] + '.txt'with open(yolo_anno_path + yolo_txt_name, 'w') as f:for anno in data['annotations']:if anno['image_id'] == img_id:f.write(str(cate_id_map[anno['category_id']]) + ' ')bbox_info = cc2yolo_bbox(img_width, img_height, anno['bbox'])keypoints_info = cc2yolo_keypoints(img_width, img_height, anno['keypoints'])for item in bbox_info:f.write(item + ' ')for item in keypoints_info:f.write(str(item) + ' ')f.write('\n')# 打印转换成功的提示，并增加计数器print(f'成功转换: {filename}')success_count += 1  # 增加成功转换的计数# 打印总共成功转换的文件数量
print(f'总共成功转换了 {success_count} 个文件')

2、结果成功！