yolov8获取关键点坐标

要获取yolov8的关键点坐标，你可以按照以下步骤进行操作：

1. 导入所需的库和模型：

from ultralytics import YOLO
import torch

# 检查是否有可用的GPU设备，如果有则使用GPU，否则使用CPU
device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')

# 载入预训练模型，这里以yolov8l-pose.pt为例
model = YOLO(r'C:\Users\lonng\Downloads\yolov8l-pose.pt')

# 切换计算设备
model.to(device)

2. 进行预测并获取结果：

# 传入要进行预测的图像路径
img_path = '11.jpg'
results = model(img_path)

# 输出结果的长度和第一个结果
print(len(results), results<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
-  *1* *2* *3* [yolov8 人体姿态关键点检测](https://blog.csdn.net/weixin_42357472/article/details/131240364)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 100%"]
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