text: import cv2
  import numpy as np
  import pandas as pd
  import argparse
  
  #Creating argument parser to take image path from command line
  ap = argparse.ArgumentParser()
  ap.add_argument('-i', '--image', required=True, help="Image Path")
  args = vars(ap.parse_args())
  
  img_path = args['image']
  
  #Reading the image with opencv
  img = cv2.imread(img_path)
  img = cv2.resize(img, (800,600))
  #declaring global variables (are used later on)
  clicked = False
  r = g = b = xpos = ypos = 0
  
  #Reading csv file with pandas and giving names to each column
  index=["color","color_name","hex","R","G","B"]
  csv = pd.read_csv('colors.csv', names=index, header=None)
  
  #function to calculate minimum distance from all colors and get the most matching color
  def getColorName(R,G,B):
      minimum = 10000
      for i in range(len(csv)):
          d = abs(R- int(csv.loc[i,"R"])) + abs(G- int(csv.loc[i,"G"]))+ abs(B- int(csv.loc[i,"B"]))
          if(d<=minimum):
              minimum = d
              cname = csv.loc[i,"color_name"]
      return cname
  
  #function to get x,y coordinates of mouse double click
  def draw_function(event, x,y,flags,param):
      if event == cv2.EVENT_LBUTTONDBLCLK:
          global b,g,r,xpos,ypos, clicked
          clicked = True
          xpos = x
          ypos = y
          b,g,r = img[y,x]
          b = int(b)
          g = int(g)
          r = int(r)
         
  cv2.namedWindow('image')
  cv2.setMouseCallback('image',draw_function)
  
  while(1):
  
      cv2.imshow("image",img)
      if (clicked):
     
          #cv2.rectangle(image, startpoint, endpoint, color, thickness)-1 fills entire rectangle 
          cv2.rectangle(img,(20,20), (750,60), (b,g,r), -1)
  
          #Creating text string to display( Color name and RGB values )
          text = getColorName(r,g,b) + ' R='+ str(r) +  ' G='+ str(g) +  ' B='+ str(b)
          
          #cv2.putText(img,text,start,font(0-7),fontScale,color,thickness,lineType )
          cv2.putText(img, text,(50,50),2,0.8,(255,255,255),2,cv2.LINE_AA)
  
          #For very light colours we will display text in black colour
          if(r+g+b>=600):
              cv2.putText(img, text,(50,50),2,0.8,(0,0,0),2,cv2.LINE_AA)
              
          clicked=False
  
      #Break the loop when user hits 'esc' key    
      if cv2.waitKey(20) & 0xFF ==27:
          break
      
  cv2.destroyAllWindows()
  