Revision history [back]

I corrected for u from eshirima 's code as above. Here is code:

import cv2
import numpy as np

image = cv2.imread('kuju.jpg')
# I just resized the image to a quarter of its original size
#image = cv2.resize(image, (0, 0), None, .25, .25) rem it out if u want smaller size

grey = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
# Make the grey scale image have three channels
grey_3_channel = cv2.cvtColor(grey, cv2.COLOR_GRAY2BGR)

numpy_vertical = np.vstack((image, grey_3_channel))
numpy_horizontal = np.hstack((image, grey_3_channel))

numpy_vertical_concat = np.concatenate((image, grey_3_channel), axis=0)
numpy_horizontal_concat = np.concatenate((image, grey_3_channel), axis=1)

cv2.imshow('Numpy Horizontal Concat', numpy_horizontal_concat)
cv2.waitKey()

I corrected for u from eshirima 's code as above. Here is code:

import cv2
import numpy as np

image = cv2.imread('kuju.jpg')
# I just resized the image to a quarter of its original size
#image = cv2.resize(image, (0, 0), None, .25, .25) rem    #rem it out if u want smaller size

grey = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
# Make the grey scale image have three channels
grey_3_channel = cv2.cvtColor(grey, cv2.COLOR_GRAY2BGR)

numpy_vertical = np.vstack((image, grey_3_channel))
numpy_horizontal = np.hstack((image, grey_3_channel))

numpy_vertical_concat = np.concatenate((image, grey_3_channel), axis=0)
numpy_horizontal_concat = np.concatenate((image, grey_3_channel), axis=1)

cv2.imshow('Numpy Horizontal Concat', numpy_horizontal_concat)
cv2.waitKey()

I corrected for u from eshirima 's code as above. Here is code:

import cv2
import numpy as np

image = cv2.imread('kuju.jpg')
# I just resized the image to a quarter of its original size
#image = cv2.resize(image, (0, 0), None, .25, .25)    #rem it out if u want smaller size

grey = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
# Make the grey scale image have three channels
grey_3_channel = cv2.cvtColor(grey, cv2.COLOR_GRAY2BGR)

numpy_vertical = np.vstack((image, grey_3_channel))
numpy_horizontal = np.hstack((image, grey_3_channel))

numpy_vertical_concat = np.concatenate((image, grey_3_channel), axis=0)
numpy_horizontal_concat = np.concatenate((image, grey_3_channel), axis=1)

cv2.imshow('Numpy Horizontal Concat', numpy_horizontal_concat)
cv2.waitKey()