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main.py
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main.py
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import cv2 # image loading and displaying
import pandas as pd # quick calculation
import argparse # taking arguments
# 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)
height, width, _ = img.shape
max_distance = height * width
print("Press Esc to exit the program")
# declaring global variables (are 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 = max_distance
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_LBUTTONDOWN:
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)
# driver code
cv2.namedWindow("Photo")
cv2.setMouseCallback("Photo", draw_function)
while True:
cv2.imshow("Photo", img)
if clicked:
cv2.rectangle(img, (20, 20), (750, 60), (b, g, r), -1)
colorName = getColorName(r, g, b) + " R=" + str(r) + " G=" + str(g) + " B=" + str(b)
cv2.putText(img, colorName, (50, 50), 2, 0.8, (255, 255, 255), 2, cv2.LINE_AA)
if r + g + b >= 600:
cv2.putText(img, colorName, (50, 50), 2, 0.8, (0, 0, 0), 2, cv2.LINE_AA)
clicked = False
# Exit Program if esc key is pressed
if cv2.waitKey(20) & 0xFF == 27:
break
cv2.destroyAllWindows()