python使用openvc检测人体姿态

摄像头或者视频输出检测人体姿态

import cv2
import mediapipe as mp
import time
"""封装1肢体检测"""
class poseDetector():
    def __init__(self,mode = False,complexity = 1,smooth_landmarks = True,enable_segmentation = False,smooth_segmentation = True,detection = 0.5,tracking = 0.5):
        self.mode = mode
        self.complexity = complexity
        self.smooth_landmarks = smooth_landmarks
        self.enable_segmentation = enable_segmentation
        self.smooth_segmentation = smooth_segmentation
        self.detection = detection
        self.tracking =tracking

        self.mpDraw = mp.solutions.drawing_utils
        self.mpPose = mp.solutions.pose
        self.pose = self.mpPose.Pose(self.mode,self.complexity,self.smooth_landmarks,self.enable_segmentation,self.smooth_segmentation,self.detection,self.tracking)
    def findPose(self,frame,draw=True):
        imgRGB = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
        self.results = self.pose.process(imgRGB)
        if self.results.pose_landmarks:
            if draw:
                self.mpDraw.draw_landmarks(frame, self.results.pose_landmarks, self.mpPose.POSE_CONNECTIONS)
        return frame

    def findPosition(self,frame,draw=True):
        lmList =[]
        if self.results.pose_landmarks:
            for id, lm in enumerate(self.results.pose_landmarks.landmark):
                h,w,c = frame.shape
                print("id=",id)
                print("lm=",lm)
                cx,cy=int(lm.x*w),int(lm.y*h)
                print("cx and cy = ",cx,cy)
                lmList.append([id,cx,cy])
                if draw:
                    cv2.circle(frame, (cx, cy), 2, (255, 0, 0), cv2.FILLED)
                    # if id==0:
                    #     cv2.circle(frame, (cx, cy), 5, (0, 0, 255), cv2.FILLED)
                    # else:
                    #     cv2.circle(frame,(cx,cy),2,(255,0,0),cv2.FILLED)
        return lmList
def main():
    #视频检测
    # cap = cv2.VideoCapture('C:/zk/work/code/python/opencv4/opencv_tutorial_data-master/images/01.mp4')
    #摄像头检测
    cap = cv2.VideoCapture(0)
    pTime = 0
    detector = poseDetector()
    while True:
        ret, frame = cap.read()
        frame = detector.findPose(frame)
        lmList = detector.findPosition(frame,draw=False)
        if len(lmList) != 0:
            print(lmList[0])
            cv2.circle(frame, (lmList[0][1], lmList[0][2]), 5, (255, 0, 0), cv2.FILLED)
        cTime = time.time()
        fps = 1 / (cTime - pTime)
        pTime = cTime
        cv2.putText(frame, str(int(fps)), (70, 50), cv2.FONT_HERSHEY_PLAIN, 3, (255, 0, 0), 3)
        cv2.imshow('Image', frame)
        c = cv2.waitKey(1)
        if c == 27:
            break

if __name__ == "__main__":
    main()