I\'m trying to convert a 2D Numpy array, representing a black-and-white image, into a 3-channel OpenCV array (i.e. an RGB image).
Based on code samples and the docs
This is what worked for me...
import cv2
import numpy as np
#Created an image (really an ndarray) with three channels
new_image = np.ndarray((3, num_rows, num_cols), dtype=int)
#Did manipulations for my project where my array values went way over 255
#Eventually returned numbers to between 0 and 255
#Converted the datatype to np.uint8
new_image = new_image.astype(np.uint8)
#Separated the channels in my new image
new_image_red, new_image_green, new_image_blue = new_image
#Stacked the channels
new_rgb = np.dstack([new_image_red, new_image_green, new_image_blue])
#Displayed the image
cv2.imshow("WindowNameHere", new_rgbrgb)
cv2.waitKey(0)