PoseModule.py

import cv2  #library for image processing
import mediapipe as mp  #framework for pose estimation
import time


class poseDetector():   #CREATE OBJECTS AND METHODS TO DETECT POSE

    def __init__(self, mode = False, modelComplex = 1, upBody = False, smooth = True, detectionCon = 0.5, trackCon = 0.5):
        self.mode = mode
        self.modelComplex = modelComplex
        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.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)
        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):
        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)   #Pixel values of the location of dots
                lmList.append([id, cx, cy])
                if draw:
                    cv2.circle(img, (cx,cy), 5, (255,0,0), cv2.FILLED)
            return lmList




def main():
    cap = cv2.VideoCapture('PoseVideos/run1.mp4')
    pTime = 0
    detector = poseDetector()
    while True:
        success, img = cap.read()
        img = detector.findPose(img)
        lmList = detector.findPosition(img)
        if len(lmList) != 0:
            print(lmList)
            #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) #framerate

        cv2.imshow("Image", img)
        cv2.waitKey(1)

if __name__ == "__main__":
    main()