Opencv项目实战：18 人体姿态检测.zip

import cv2 import mediapipe as mp import time class poseDetector(): def __init__(self, mode=False, upBody=False, smooth=True, detectionCon=0.5, trackCon=0.5): self.mode = mode self.upBody = upBody self.smooth = smooth self.detectionCon = detectionCon self.trackCon=trackCon self.mpDraw = mp.solutions.drawing_utils self.mpPose = mp.solutions.pose self.pose = self.mpPose.Pose(self.mode, self.upBody, self.smooth) def findPose(self, img, draw=True): imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB) self.results = self.pose.process(imgRGB) if self.results.pose_landmarks: if draw: self.mpDraw.draw_landmarks(img, self.results.pose_landmarks, self.mpPose.POSE_CONNECTIONS) return img def findPosition(self, img, draw=True): self.lmList = [] if self.results.pose_landmarks: for id, lm in enumerate(self.results.pose_landmarks.landmark): h, w, c = img.shape # print(id, lm) cx, cy = int(lm.x * w), int(lm.y * h) self.lmList.append([id, cx, cy]) if draw: cv2.circle(img, (cx, cy), 5, (255, 0, 0), cv2.FILLED) return self.lmList def main(): cap = cv2.VideoCapture('Pose_videos/02.mp4') pTime = 0 detector = poseDetector() while True: success, img = cap.read() img = detector.findPose(img) lmList = detector.findPosition(img, draw=False) if len(lmList) != 0: print(lmList[14]) cv2.circle(img, (lmList[14][1], lmList[14][2]), 15, (0, 0, 255), cv2.FILLED) cTime = time.time() fps = 1 / (cTime - pTime) pTime = cTime cv2.putText(img, str(int(fps)), (70, 50), cv2.FONT_HERSHEY_PLAIN, 3, (255, 0, 0), 3) cv2.imshow("Image", img) k=cv2.waitKey(1) if k==27: break if __name__ == "__main__": main()