poseEstimationMIn.py

import cv2
import mediapipe as mp
import time

mpDraw = mp.solutions.drawing_utils
mpPose = mp.solutions.pose
"""def __init__(self,
static_image_mode=False,
model_complexity=1,
smooth_landmarks=True,
enable_segmentation=False,
smooth_segmentation=True,
min_detection_confidence=0.5,
min_tracking_confidence=0.5)"""
pose = mpPose.Pose()

wCam, hCam = 1280, 720

cap = cv2.VideoCapture(1)
cap.set(3, wCam)
cap.set(4, hCam)
pTime = 0
while True: 
    success, img = cap.read()
    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 = int(lm.x * w), int(lm.y * h)
            cv2.circle(img, (cx, cy), 4, (255, 0, 0), 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)

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