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import cv2
import pandas as pd
img_path =r"D:\downloard2.0\color-identification-main\image3.jpg"
re = cv2.imread(img_path)
img=cv2.resize(re,(1200,800))
# declaring global variables (are used later on)
clicked = False
r = g = b = x_pos = y_pos = 0
# Reading csv file with pandas and giving names to each column
index = ["color", "color_name", "hex", "R", "G", "B"]
csv = pd.read_csv('D:\downloard2.0\color-identification-main\colors.csv', names=index, header=None)
# function to calculate minimum distance from all colors and get the most matching color
def get_color_name(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, x_pos, y_pos, clicked
clicked = True
x_pos = x
y_pos = 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 True:
cv2.imshow("image", img)
if clicked:
# cv2.rectangle(image, start point, 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 = get_color_name(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 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()