OpenCv_Cascade.py

import cv2

cap = cv2.VideoCapture(0)
while(True):
    ret, frame = cap.read()
    # --------CASCADE---------

    # Convert to Greyscale
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    # Denoise (also try bluring, this is expensive )
    denoised = cv2.fastNlMeansDenoising(gray, h=3, templateWindowSize=7, searchWindowSize=21)
    # Apply threshold
    thresholded = cv2.adaptiveThreshold(denoised, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 115, 1)
    # Mirror image
    mirrored = cv2.flip(thresholded, 1)
    # --------***---------

    cv2.imshow('frame', mirrored)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break
cap.release()
cv2.destroyAllWindows()