Color-Identification-Images.py

#Color Identification in Images Project

#py Color-Identification-Images.py --image colorpic.py

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)

#declaring global variables (arc 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 = 1000
    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 corrdinates 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), (600,60), (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 colors 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)
    
    #Break the loop when user hits 'esc' key
    if cv2.waitKey(20) & 0xFF == 27 :
        break

cv2.destroyAllWindows()