Colordetect.py

# Imports
import cv2 
import numpy as np
import pandas as pd 
import argparse 
import sys

sys.path.append('/usr/local/lib/python2.7/site-packages')

# 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 (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 colors
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 colors we will display text in black color
        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 if user presses esc key
    if cv2.waitKey(20) & 0xFF == 27:
        break
cv2.destroyAllWindows()