index.py

import time

import cv2
import numpy as np

print("Get read to become invisible")

# allowing camer to boot up
cap = cv2.VideoCapture(0)
time.sleep(3)
background = 0
for i in range(30):
    ret, background = cap.read()

background = np.flip(background, axis=1)

while(cap.isOpened()):
    ret, img = cap.read()

    img = np.flip(img, axis=1)
    hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
    value = (35, 35)
    blurred = cv2.GaussianBlur(hsv, value, 0)

    # locating red pixel from current frame using different
    # shades/range of red color
    lower_red = np.array([0, 120, 70])
    upper_red = np.array([10, 255, 255])
    mask1 = cv2.inRange(hsv, lower_red, upper_red)

    lower_red = np.array([170, 120, 70])
    upper_red = np.array([180, 255, 255])
    mask2 = cv2.inRange(hsv, lower_red, upper_red)

    mask = mask1 + mask2
    # masking the detected color pixed with originally captured image
    mask = cv2.morphologyEx(mask, cv2.MORPH_OPEN, np.ones((5, 5), np.uint8))

    img[np.where(mask == 255)] = background[np.where(mask == 255)]
    # display image
    cv2.imshow('Display', img)

    # esc to exit exectution
    k = cv2.waitKey(10)
    if k == 27:
        break