handtracker.py

import cv2
import mediapipe as mp
import time


#opening camera feed
captureVideo = cv2.VideoCapture(0)

mpHand = mp.solutions.hands
hands = mpHand.Hands() #objects
mpDraw = mp.solutions.drawing_utils

pTime = 0
cTime = 0


while True:
    success, img = captureVideo.read()

    imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
    results = hands.process(imgRGB)
    #extract the hands
    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
                cx, cy = int(lm.x*w), int(lm.y*h)
                #print(id, cx,cy)
                #if id == 4:
                 #   cv2.circle(img, (cx,cy), 25, (255,67,200), cv2.FILLED)

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

    cTime = time.time()
    fps = 1/(cTime-pTime)
    pTime = cTime

    cv2.putText(img, str(int(fps)), (10,70), cv2.FONT_HERSHEY_PLAIN,3, (255,0,255), 3)




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