cameratograyscaleresaltredandblue.py

cameratograyscaleresaltredandblue.py

#    Copyright (c) 2022
#    Author      : Bruno Capuano
#    Create Time : 2022 June
#    Change Log  :
#    - Open the camera feed
#    - Convert the camera feed to Grayscale
#    - Resalt a specific colors >> RED and BLUE
#
#    The MIT License (MIT)
#
#    Permission is hereby granted, free of charge, to any person obtaining a copy
#    of this software and associated documentation files (the "Software"), to deal
#    in the Software without restriction, including without limitation the rights
#    to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
#    copies of the Software, and to permit persons to whom the Software is
#    furnished to do so, subject to the following conditions:
#
#    The above copyright notice and this permission notice shall be included in
#    all copies or substantial portions of the Software.
#
#    THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
#    IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
#    FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
#    AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
#    LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
#    OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
#    THE SOFTWARE.

import numpy as np
import cv2

cap = cv2.VideoCapture(0)

while True:
    # read image
    ret, img = cap.read()
    img = cv2.resize(img, (320, 240))

    #convert the BGR image to HSV colour space
    hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
    #obtain the grayscale image of the original image
    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

    # set the bounds for the red and blue hue
    lower_red = np.array([25,37,40])
    upper_red = np.array ([255, 255, 255])

    # create a mask using the bounds set
    mask = cv2.inRange(hsv, lower_red, upper_red)
    # create an inverse of the mask
    mask_inv = cv2.bitwise_not(mask)
    # Filter only the red colour from the original image using the mask(foreground)
    res = cv2.bitwise_and(img, img, mask=mask)
    # Filter the regions containing colours other than red from the grayscale image(background)
    background = cv2.bitwise_and(gray, gray, mask = mask_inv)
    # convert the one channelled grayscale background to a three channelled image
    background = np.stack((background,)*3, axis=-1)
    # add the foreground and the background
    img_ca = cv2.add(res, background)

    cv2.imshow('@ElBruno - Office', img)
    cv2.imshow('@ElBruno - Captain America', img_ca)

    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

# close camera
cap.release()
cv2.destroyAllWindows()