yolov8 pose keypoint解读

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yolov8进行关键点检测的代码如下：

from ultralytics import YOLO# Load a model
model = YOLO('yolov8n.pt')  # pretrained YOLOv8n model# Run batched inference on a list of images
results = model(['im1.jpg', 'im2.jpg'])  # return a list of Results objects# Process results list
for result in results:boxes = result.boxes  # Boxes object for bounding box outputsmasks = result.masks  # Masks object for segmentation masks outputskeypoints = result.keypoints  # Keypoints object for pose outputsprobs = result.probs  # Probs object for classification outputsresult.show()  # display to screenresult.save(filename='result.jpg')  # save to disk

输出的keypoint顺序如下：
“keypoints”: [“nose”,“left_eye”,“right_eye”,“left_ear”,“right_ear”,“left_shoulder”,“right_shoulder”,“left_elbow”,“right_elbow”,“left_wrist”,“right_wrist”,“left_hip”,“right_hip”,“left_knee”,“right_knee”,“left_ankle”,“right_ankle”],

对两张图进行测试：
：

对应的输出格式如下，没有检测到的为（0，0）：

第二张图片

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