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Copy pathcode.py
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71 lines (58 loc) · 2.18 KB
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#calculate the rgb values of the pixel which we 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)
#return us the color name from RGB values
#d = abs(Red – ithRedColor) + (Green – ithGreenColor) + (Blue – ithBlueColor)
def getColorName (R, G, B):
min = 10000
for i in range(len(csv)):
d = abs(R - int(csv.loc[i,"Red"])) + abs(G - int(csv.loc[i,"Green"])) + abs(B - int(csv.loc[i,"Blue"]))
if (d <= min):
min = d
color_name = csv.loc[i, "color_name"]
return color_name
#import neccessarry modules
import cv2
import pandas as pd
import numpy as np
import argparse
#argument parser to directly give an image path from the command prompt
ap = argparse.ArgumentParser()
ap.add_argument('-i', '--image', required=True, help="Path of Image")
args = vars(ap.parse_args())
img_path = args['image']
#Reading image with opencv
img = cv2.imread(img_path)
#read the CSV file with pandas
index=["color","color_name","hex","Red","Green","Blue"]
csv = pd.read_csv('colors.csv', names=index, header=None)
clicked = False
r = g = b = xpos = ypos = 0
#Set a mouse callback event on a window
cv2.namedWindow('image')
cv2.setMouseCallback('image',draw_function)
#Display image on the window
while(True):
cv2.imshow("image",img)
if (clicked):
#draw rectangle to display text
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,(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()