CV项目肢体动作识别（三）内附完整代码和详细讲解 python

【CV项目肢体动作识别（三）内附完整代码和详细讲解】import cv2
import mediapipe as mp
import time
import math
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,self.detectionCon,self.trackCon) 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 =[PerfectMoney下载](https://www.gendan5.com/wallet/PerfectMoney.html) 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 findAngle(self, img, p1, p2, p3, draw=True): # Get the landmarks x1, y1 = self.lmList[p1][1:] x2, y2 = self.lmList[p2][1:] x3, y3 = self.lmList[p3][1:] # Calculate the Angle angle = math.degrees(math.atan2(y3 - y2, x3 - x2) - math.atan2(y1 - y2, x1 - x2)) if angle < 0: angle += 360 # print(angle) # Draw if draw: cv2.line(img, (x1, y1), (x2, y2), (255, 255, 255), 3) cv2.line(img, (x3, y3), (x2, y2), (255, 255, 255), 3) cv2.circle(img, (x1, y1), 10, (0, 0, 255), cv2.FILLED) cv2.circle(img, (x1, y1), 15, (0, 0, 255), 2) cv2.circle(img, (x2, y2), 10, (0, 0, 255), cv2.FILLED) cv2.circle(img, (x2, y2), 15, (0, 0, 255), 2) cv2.circle(img, (x3, y3), 10, (0, 0, 255), cv2.FILLED) cv2.circle(img, (x3, y3), 15, (0, 0, 255), 2) cv2.putText(img, str(int(angle)), (x2 - 50, y2 + 50), cv2.FONT_HERSHEY_PLAIN, 2, (0, 0, 255), 2) return angle

def main():

cap = cv2.VideoCapture('PoseVideos/1.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) cv2.waitKey(1)

if name == "__main__":