prog.py

import cv2
img = cv2.imread("/home/austin/Desktop/yoda.png")
img = cv2.resize(img,(720,600))
import pandas as pd
index = ["color","color_name","hex","R","G","B"]
csv= pd.read_csv('/home/austin/colorDetection/colors.csv',names=index,header=None)
clicked=False
r=g=b=xpos=ypos=0
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
def func(event,x,y,flags,params):
	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',func)

while(1):
	cv2.imshow("image",img)
	if (clicked):
    #cv2.rectangle(image, startpoint, endpoint, color, thickness) -1 thickness fills rectangle entirely
    		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, (optional bottomLeft bool) )
   		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()