import cv2
import mediapipe as mp
import pyautogui
import numpy as np


mp_hands = mp.solutions.hands
mp_drawing = mp.solutions.drawing_utils
hands = mp_hands.Hands(min_detection_confidence=0.7, min_tracking_confidence=0.7)


cap =cv2.VideoCapture(0)
screen_width, screen_height = pyautogui.size()

while cap.isOpened():
    ret,frame = cap.read()
    if not ret:
        break
    
    frame = cv2.flip(frame,1)
    h, w, c =frame.shape
    
    rgb_frame =cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
    results = hands.process(rgb_frame)