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import cv2
import numpy as np
import time
import os
import HandTrackingModule as htm
detector = htm.handDetector(detectionConfidence=0.85)

cap = cv2.VideoCapture(0)
cap.set(3, 1280)
cap.set(4, 720)

# Load Images
myListDirectory = os.listdir("header")
print(myListDirectory)
overlayList = []

for imPath in myListDirectory:
    image = cv2.imread(f'header/{imPath}')
    overlayList.append(image)
header = overlayList[0]

while True:
    res, frame = cap.read()
    frame = cv2.flip(frame, 1)
    frame = detector.findHands(frame)
    lmList = detector.findPosition(frame, draw=False)
    frame[0:125, 0:1280] = header
    cv2.imshow("Frame", frame)
    if cv2.waitKey(10) & 0xFF == ord('q'):
        break

cap.release()
cv2.destroyAllWindows()