Hi !
A new twist on these days demos, this time:
- Open a camera feed
- Convert each frame to grayscale
- Use a hue mask to resalt colors, Blue and Red
Here is a live sample from my office.
Note: I created a mask that identifies the Captain America shield, SpyderGwen poster and Ahsoka frame, but it’s missing the Canada flag 🍁 ! Still, my guitar and working desk are converted to grayscale.
Another funny scenario !
And the sample code:
# 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() | |
Happy coding!
Greetings
El Bruno
More posts in my blog ElBruno.com.
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