POSE_ESTIMATION.py

import cv2
import mediapipe as mp

cap = cv2.VideoCapture(0)
mpDraw = mp.solutions.drawing_utils
mpPose = mp.solutions.pose
pose = mpPose.Pose()
while True:
    success, img = cap.read()
    imgRgb = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
    results = pose.process(imgRgb)
    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
            cx, cy = int(lm.x * w), int(lm.y * h)
            cv2.circle(img, (cx, cy), 9, (0, 0, 255), cv2.FILLED)

    cv2.imshow('VID', img)

    cv2.waitKey(1)