如何姿态估计

还是和前面那个由于使用的是Mediapipe，进行检测

代码部分

import cv2
import mediapipe as mpif __name__ == '__main__':mp_pose = mp.solutions.posepose = mp_pose.Pose(static_image_mode=True,model_complexity=1,smooth_landmarks=True,# enable_segmentation=True,min_detection_confidence=0.5,min_tracking_confidence=0.5)drawing = mp.solutions.drawing_utils'''mp_pose.Pose()其参数：1)static_image_mode：静态图像还是连续帧视频;2)model_complexity：人体姿态估计模型,0表示速度最快,精度最低（三者之中）,1表示速度中间，精度中间（三者之中),2表示速度最慢，精度最高（三者之中）;3)smooth_landmarks：是否平滑关键点；4)enable_segmentation：是否对人体进行抠图;5)min_detection_confidence：检测置信度阈值；6)min_tracking_confidence：各帧之间跟踪置信度阈值；'''# read img BGR to RGBimg = cv2.imread("img.png")img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)cv2.imshow("input", img)results = pose.process(img)drawing.draw_landmarks(img, results.pose_landmarks, mp_pose.POSE_CONNECTIONS)cv2.imshow("keypoint", img)drawing.plot_landmarks(results.pose_world_landmarks, mp_pose.POSE_CONNECTIONS)cv2.waitKey(0)cv2.destroyAllWindows()

看效果