new_contents: # Visualize an RGB image in all potential colorspaces as one glance
  
  import os
  import cv2
  import numpy as np
  from plantcv.plantcv import params
  from plantcv.plantcv import resize
  from plantcv.plantcv import plot_image
  from plantcv.plantcv import fatal_error
  from plantcv.plantcv import print_image
  from plantcv.plantcv import rgb2gray_hsv
  from plantcv.plantcv import rgb2gray_lab
  
  
  def colorspace(rgb_img):
      """ Visualize an RGB image in all potential colorspaces
  
      Inputs:
      rgb_img      = RGB image data
  
      Returns:
      plotting_img = Plotting image containing the original image and L,A,B,H,S, and V colorspaces
  
      :param segmented_img: numpy.ndarray
      :return labeled_img: numpy.ndarray
  
      """
  
      if not np.shape(rgb_img)[2] == 3:
          fatal_error("Input image is not RGB!")
  
      # Store and disable debug mode
      debug = params.debug
      params.debug = None
  
      # Initialize grayscale images list, rgb images list, plotting coordinates
      colorspace_names = ["H", "S", "V", "L", "A", "B"]
      all_colorspaces = []
      rgb_imgs = []
      y = int(np.shape(rgb_img)[0] / 2)
      x = int(np.shape(rgb_img)[1] / 2)
  
      # Loop through and create grayscale imgs from each colorspace
      for i in range(0, 3):
          channel = colorspace_names[i]
          all_colorspaces.append(rgb2gray_hsv(rgb_img=rgb_img, channel=channel))
      for i in range(3, 6):
          channel = colorspace_names[i]
          all_colorspaces.append(rgb2gray_lab(rgb_img=rgb_img, channel=channel))
  
      # Plot labels of each colorspace on the corresponding img
      for i, colorspace in enumerate(all_colorspaces):
          converted_img = cv2.cvtColor(colorspace, cv2.COLOR_GRAY2RGB)
          labeled = cv2.putText(img=converted_img, text=colorspace_names[i], org=(x, y),
                                fontFace=cv2.FONT_HERSHEY_SIMPLEX,
                                fontScale=params.text_size, color=(255, 0, 255), thickness=params.text_thickness)
          rgb_imgs.append(labeled)
  
      # Compile images together including a larger version of the original image
      all_imgs = np.vstack([np.hstack([rgb_imgs[0], rgb_imgs[1], rgb_imgs[2]]),
                            np.hstack([rgb_imgs[3], rgb_imgs[4], rgb_imgs[5]])])
      plotting_img = np.hstack([resize(img=rgb_img, resize_x=2, resize_y=2), all_imgs])
  
      # Reset debug mode
      params.debug = debug
  
      if params.debug == "print":
          # If debug is print, save the image to a file
          print_image(plotting_img, os.path.join(params.debug_outdir, str(params.device) + "_vis_colorspaces.png"))
      elif params.debug == "plot":
          # If debug is plot, print to the plotting device
          plot_image(plotting_img)
  
      return plotting_img
  
subject: Create colorspaces.py