PoseModule.py

import cv2
import mediapipe as mp
import time
import math
import numpy as np


class PoseDetector:
    def __init__(self, mode = False,maxHands=1,modelComplexity=1, upBody = False, smooth=True, detectionCon = 0.5, trackCon = 0.5):

        self.mode = mode
        self.maxHands = maxHands
        self.modelComplex = modelComplexity
        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.maxHands, self.modelComplex,  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)
        #print(results.pose_landmarks)
        if self.results.pose_landmarks:
            if draw:
                self.mpDraw.draw_landmarks(img, self.results.pose_landmarks, self.mpPose.POSE_CONNECTIONS)

        return img

    def getPosition(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 findAngle(self,img,p1,p2,p3, draw=True):


        #finding the landmarks

        x1,y1=self.lmList[p1][1:]
        x2,y2=self.lmList[p2][1:]
        x3,y3=self.lmList[p3][1:]

        #calculating the angle between those landmarks
        angle=math.degrees(math.atan2(y3-y2,x3-x2)-
                         math.atan2(y1-y2,x1-x2))
        
        if angle<0:
            angle+=360
        
        # data = open("index.html", 'r')
        # s=data.read().format(a=angle, b=angle , c=angle, d=angle)
        print(angle)
        # with open("output.txt", "w") as txt_file:
        #     for line in yogaAngles:
        #         txt_file.write(" ".join(line) + "\n") 

        if draw:
             cv2.circle(img, (x1, y1), 5, (255, 0, 0), cv2.FILLED)
             cv2.circle(img, (x2, y2), 5, (255, 0, 0), cv2.FILLED)
             cv2.circle(img, (x3, y3), 5, (255, 0, 0), cv2.FILLED)
             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('videos/a.mp4')
    pTime = 0
    detector = PoseDetector()
    while True:
        success, img = cap.read()
        img = detector.findPose(img)
        lmList = detector.getPosition(img)
        print(lmList)

        cTime = time.time()
        fps = 1 / (cTime - pTime)
        pTime = cTime

        cv2.putText(img, str(int(fps)), (50, 50), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 0, 0), 3)
        cv2.imshow("Image", img)
        cv2.waitKey(1)



if __name__ == "__main__":
    main()