HandTrackmain.py

import cv2
import mediapipe as mp
import time

cap = cv2.VideoCapture(0)

mpHands = mp.solutions.hands # a formality to before before using this module
hands = mpHands.Hands(False)
mpDraw = mp.solutions.drawing_utils #to display red dots on each important hand landmark
prevTime = 0 
currentTime = 0


while True:
    success, img = cap.read()
    #send in rgb image to hands objecct
    imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)  
    result = hands.process(imgRGB)
    #print(result.multi_hand_landmarks) #to detect position of the hand

    if result.multi_hand_landmarks: #if a hand is detected
        for handLms in result.multi_hand_landmarks:
            #extract the information of each visible hand (coordinates)
            for id,landmark in enumerate(handLms.landmark):
                print(id, landmark)
                height, width, imgchannels=img.shape
                cposX, cposY = int(landmark, cposX*width), int (cposY*height)
                print(id, cposX, cposY) #will print position of every landmark if id is not included
                if id ==0: #will highlight the specified landmark on screen, usefule for extracting data of only 1 part of the hand
                    cv2.circle(img, (cposX, cposY), 15, (255,0,255), cv2.FILLED)



            mpDraw.draw_landmarks(img, handLms, mpHands.HAND_CONNECTIONS) #display original image with hand landmarks connected with HANDS_CONNECTIONS
    currentTime = time.time()
    fps = 1/(currentTime - prevTime)
    prevTime = currentTime

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

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