import cv2
import mediapipe as mp
import  time

mpDraw = mp.solutions.drawing_utils
mpPose = mp.solutions.pose
pose = mpPose.Pose()



cap = cv2.VideoCapture('VIDEO/4.mp4')
pTime = 0
while True:
    success, img = cap.read()
    img = cv2.resize(img, (0, 0), fx=0.5, fy=0.5)
    imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
    results = pose.process(imgRGB)
    # print(results.pose_landmarks)
    if results.pose_landmarks:
        mpDraw.draw_landmarks(img, results.pose_landmarks,mpPose.POSE_CONNECTIONS)
        for id, lm in enumerate(results.pose_landmarks.landmark):
            h, w, c =img.shape
            print(id, lm)
            cx, cy = lm.x*w, lm.y*h
            cv2.circle(img, (int(cx), int(cy)), 10, (255, 0, 0), cv2.FILLED)

    #cv2.imshow('img', img)
    cTime = time.time()
    fps = 1/(cTime-pTime)
    pTime = cTime

    cv2.putText(img, str(int(fps)), (70,50), cv2.FONT_HERSHEY_PLAIN, 3, (0, 255, 0), 3)
    cv2.imshow('Video', img)

    cv2.waitKey(1)

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,False,
                                     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)
                lmlist.append([id, cx, cy])
                if draw:
                    cv2.circle(img, (int(cx), int(cy)), 10, (255, 0, 0), cv2.FILLED)

        return lmlist



def main():
    cap = cv2.VideoCapture('VIDEO/1.mp4')
    pTime = 0
    detector = poseDetector()

    while True:
        success, img = cap.read()
        img = cv2.resize(img, (0, 0), fx=0.5, fy=0.5)
        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, (0, 255, 0), 3)
            cv2.imshow('Image', img)

            cv2.waitKey(1)


if __name__ == "__main__":
    main()