main.py

import cv2 as cv
import mediapipe as mp
from google.protobuf.json_format import MessageToDict

cap=cv.VideoCapture(0)
#TODO: Add required mediapipe functions
mpHands = mp.solutions.hands
hands = mpHands.Hands()
mpDraw = mp.solutions.drawing_utils

while True:
    success, frame=cap.read()
    whichHands = ""
    
    frame = cv.flip(frame,1)
    imgRGB = cv.cvtColor(frame, cv.COLOR_BGR2RGB)
    results = hands.process(imgRGB)
    if results.multi_handedness:
        for idx, hand_handedness in enumerate(results.multi_handedness):
            hand_handedness_dict = MessageToDict(hand_handedness)
            whichHands = hand_handedness_dict['classification'][0]['label']


    cv.putText(frame, whichHands, (10,50),cv.FONT_HERSHEY_TRIPLEX,1,(225,0,225),thickness=1)
    cv.imshow("Hand Detection",frame)

    #TODO: Implement the functions

    if cv.waitKey(1) & 0xFF==ord('q'):
        break

cap.release()
cv.destroyAllWindows()
cv.waitKey(0)