HandTracking.py

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



cap = cv2.VideoCapture(0)
pTime=0
mpHands=mp.solutions.hands
hands = mpHands.Hands()
mpDraw=mp.solutions.drawing_utils

while True:
    success, img = cap.read()
    img = cv2.flip(img, 1)
    cTime = time.time()
    fps = 1 / (cTime - pTime)
    pTime = cTime
    cv2.putText(img, str(int(fps)), (10, 70), cv2.FONT_HERSHEY_PLAIN, 1, (0, 255, 0), 2)
    # Convert the image to RGB for MediaPipe processing
    imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
    results = hands.process(imgRGB)
    #print(results.multi_hand_landmarks)
    if results.multi_hand_landmarks:
        for handLms in results.multi_hand_landmarks:
            for id,lm in enumerate(handLms.landmark):
                #print(id,lm)
                h,w,c=img.shape
                #print(id,lm.x,lm.y,lm.z)
                cx,cy=int(lm.x*w),int(lm.y*h)
                print(id,cx,cy)
                #if id==0:
                cv2.circle(img,(cx,cy),10,(255,0,255),cv2.FILLED)


            mpDraw.draw_landmarks(img,handLms, mpHands.HAND_CONNECTIONS)

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