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main.py
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main.py
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# Manasi Bonde
import pandas as pd
import argparse
from cv2 import cv2
# creating argument parse 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)
# get dimensions of image
dimensions = img.shape
height = img.shape[0]
width = img.shape[1]
area = height*width
# declaring global variables
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 get closest matching color
def getColorName(R, G, B):
minimum = float('inf')
cname = ""
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 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)
if area <= 662000:
cv2.namedWindow('image')
else:
cv2.namedWindow('image', cv2.WINDOW_NORMAL)
cv2.setMouseCallback('image', draw_function)
while (1):
cv2.imshow('image', img)
if clicked:
recEnd = (round(width * .735), round(height * .1))
textStart = (round(width * .05), round(height * .08))
cv2.rectangle(img, (20, 20), recEnd, (b, g, r), -1)
text = getColorName(r, g, b) + ' R=' + str(r) + ' G=' + str(g) + ' B=' + str(b)
if r + g + b >= 600:
cv2.putText(img, text, textStart, cv2.FONT_HERSHEY_TRIPLEX, 1, (0, 0, 0), 1, cv2.LINE_AA)
else:
cv2.putText(img, text, textStart, cv2.FONT_HERSHEY_TRIPLEX, 1, (255, 255, 255), 1, cv2.LINE_AA)
clicked = False
# break loop when user hits esc key
if cv2.waitKey(20) & 0xFF == 27:
break
cv2.destroyWindow()