健身内卷现象？Python编程助力网友掌握标准俯卧撑技巧

import cv2 import mediapipe as mp import math  class poseDetector() :  def __init__(self, mode=False, complexity=1, smooth_landmarks=True, enable_segmentation=False, smooth_segmentation=True, detectionCon=0.5, trackCon=0.5):  self.mode = mode  self.complexity = complexity self.smooth_landmarks = smooth_landmarks self.enable_segmentation = enable_segmentation self.smooth_segmentation = smooth_segmentation 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.complexity, self.smooth_landmarks, self.enable_segmentation, self.smooth_segmentation, 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): #finding height, width of the image printed h, w, c = img.shape #Determining the pixels of the landmarks 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 Angle angle = math.degrees(math.atan2(y3-y2, x3-x2) -  math.atan2(y1-y2, x1-x2)) if angle < 0: angle += 360 if angle > 180: angle = 360 - angle elif angle > 180: angle = 360 - angle # 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), 5, (0,0,255), cv2.FILLED) cv2.circle(img, (x1, y1), 15, (0,0,255), 2) cv2.circle(img, (x2, y2), 5, (0,0,255), cv2.FILLED) cv2.circle(img, (x2, y2), 15, (0,0,255), 2) cv2.circle(img, (x3, y3), 5, (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(): detector = poseDetector() cap = cv2.VideoCapture(0) while cap.isOpened(): ret, img = cap.read() #ret is just the return variable, not much in there that we will use.  if ret:  img = detector.findPose(img) cv2.imshow('Pose Detection', img) if cv2.waitKey(10) & 0xFF == ord('q'): break  cap.release() cv2.destroyAllWindows()  if __name__ == "__main__": main()

import cv2 import mediapipe as mp import numpy as np import PoseModule as pm    cap = cv2.VideoCapture(0) detector = pm.poseDetector() count = 0 direction = 0 form = 0 feedback = "Fix Form"   while cap.isOpened(): ret, img = cap.read() #640 x 480 #Determine dimensions of video - Help with creation of box in Line 43 width = cap.get(3) # float `width` height = cap.get(4) # float `height` # print(width, height)  img = detector.findPose(img, False) lmList = detector.findPosition(img, False) # print(lmList) if len(lmList) != 0: elbow = detector.findAngle(img, 11, 13, 15) shoulder = detector.findAngle(img, 13, 11, 23) hip = detector.findAngle(img, 11, 23,25)  #Percentage of success of pushup per = np.interp(elbow, (90, 160), (0, 100))  #Bar to show Pushup progress bar = np.interp(elbow, (90, 160), (380, 50))  #Check to ensure right form before starting the program if elbow > 160 and shoulder > 40 and hip > 160: form = 1  #Check for full range of motion for the pushup if form == 1: if per == 0: if elbow <= 90 and hip > 160: feedback = "Up" if direction == 0: count += 0.5 direction = 1 else: feedback = "Fix Form"  if per == 100: if elbow > 160 and shoulder > 40 and hip > 160: feedback = "Down" if direction == 1: count += 0.5 direction = 0 else: feedback = "Fix Form" # form = 0    print(count)  #Draw Bar if form == 1: cv2.rectangle(img, (580, 50), (600, 380), (0, 255, 0), 3) cv2.rectangle(img, (580, int(bar)), (600, 380), (0, 255, 0), cv2.FILLED) cv2.putText(img, f'{int(per)}%', (565, 430), cv2.FONT_HERSHEY_PLAIN, 2, (255, 0, 0), 2)   #Pushup counter cv2.rectangle(img, (0, 380), (100, 480), (0, 255, 0), cv2.FILLED) cv2.putText(img, str(int(count)), (25, 455), cv2.FONT_HERSHEY_PLAIN, 5, (255, 0, 0), 5)  #Feedback  cv2.rectangle(img, (500, 0), (640, 40), (255, 255, 255), cv2.FILLED) cv2.putText(img, feedback, (500, 40 ), cv2.FONT_HERSHEY_PLAIN, 2, (0, 255, 0), 2)   cv2.imshow('Pushup counter', img) if cv2.waitKey(10) & 0xFF == ord('q'): break  cap.release() cv2.destroyAllWindows()