# pip install pandas opencv-python


import cv2
import pandas as pd

# --------------------------------------------------------------------------

pic = int(input("enter your pic no"))
img_path = f"E:\downloads\Color detection-20210813T073902Z-001\Color detection\\pic{pic}.jpg"
csv_path = 'E:\downloads\Color detection-20210813T073902Z-001\Color detection\\colors.csv'

# reading csv file
index = ['color', 'color_name', 'hex', 'R', 'G', 'B']
df = pd.read_csv(csv_path, names=index, header=None)

# reading image
img = cv2.imread(img_path)
img = cv2.resize(img, (800,600))

#declaring global variables
clicked = False
r = g = b = xpos = ypos = 0

#function to calculate minimum distance from all colors and get the most matching color
def get_color_name(R,G,B):
	minimum = 1000
	for i in range(len(df)):
		d = abs(R - int(df.loc[i,'R'])) + abs(G - int(df.loc[i,'G'])) + abs(B - int(df.loc[i,'B']))
		if d <= minimum:
			minimum = d
			cname = df.loc[i, 'color_name']

	return cname

#function to get x,y coordinates of mouse double click
def draw_function(event, x, y, flags, params):
	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)

# creating window
cv2.namedWindow('image')
cv2.setMouseCallback('image', draw_function)

while True:
	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 = 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)

	if cv2.waitKey(20) & 0xFF == 27:
		break

cv2.destroyAllWindows()
eb8e2c160f0d4efac00923eda0d52d24f3dbb71f
<mask token>


def draw_function(event, x, y, flags, params):
    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)


<mask token>

<mask token>


def get_color_name(R, G, B):
    minimum = 1000
    for i in range(len(df)):
        d = abs(R - int(df.loc[i, 'R'])) + abs(G - int(df.loc[i, 'G'])) + abs(
            B - int(df.loc[i, 'B']))
        if d <= minimum:
            minimum = d
            cname = df.loc[i, 'color_name']
    return cname


def draw_function(event, x, y, flags, params):
    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)


<mask token>

<mask token>


def get_color_name(R, G, B):
    minimum = 1000
    for i in range(len(df)):
        d = abs(R - int(df.loc[i, 'R'])) + abs(G - int(df.loc[i, 'G'])) + abs(
            B - int(df.loc[i, 'B']))
        if d <= minimum:
            minimum = d
            cname = df.loc[i, 'color_name']
    return cname


def draw_function(event, x, y, flags, params):
    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 True:
    cv2.imshow('image', img)
    if clicked:
        cv2.rectangle(img, (20, 20), (600, 60), (b, g, r), -1)
        text = get_color_name(r, g, b) + ' R=' + str(r) + ' G=' + str(g
            ) + ' B=' + str(b)
        cv2.putText(img, text, (50, 50), 2, 0.8, (255, 255, 255), 2, cv2.
            LINE_AA)
        if r + g + b >= 600:
            cv2.putText(img, text, (50, 50), 2, 0.8, (0, 0, 0), 2, cv2.LINE_AA)
    if cv2.waitKey(20) & 255 == 27:
        break
cv2.destroyAllWindows()

import cv2
import pandas as pd
pic = int(input('enter your pic no'))
img_path = (
    f'E:\\downloads\\Color detection-20210813T073902Z-001\\Color detection\\pic{pic}.jpg'
    )
csv_path = (
    'E:\\downloads\\Color detection-20210813T073902Z-001\\Color detection\\colors.csv'
    )
index = ['color', 'color_name', 'hex', 'R', 'G', 'B']
df = pd.read_csv(csv_path, names=index, header=None)
img = cv2.imread(img_path)
img = cv2.resize(img, (800, 600))
clicked = False
r = g = b = xpos = ypos = 0


def get_color_name(R, G, B):
    minimum = 1000
    for i in range(len(df)):
        d = abs(R - int(df.loc[i, 'R'])) + abs(G - int(df.loc[i, 'G'])) + abs(
            B - int(df.loc[i, 'B']))
        if d <= minimum:
            minimum = d
            cname = df.loc[i, 'color_name']
    return cname


def draw_function(event, x, y, flags, params):
    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 True:
    cv2.imshow('image', img)
    if clicked:
        cv2.rectangle(img, (20, 20), (600, 60), (b, g, r), -1)
        text = get_color_name(r, g, b) + ' R=' + str(r) + ' G=' + str(g
            ) + ' B=' + str(b)
        cv2.putText(img, text, (50, 50), 2, 0.8, (255, 255, 255), 2, cv2.
            LINE_AA)
        if r + g + b >= 600:
            cv2.putText(img, text, (50, 50), 2, 0.8, (0, 0, 0), 2, cv2.LINE_AA)
    if cv2.waitKey(20) & 255 == 27:
        break
cv2.destroyAllWindows()

# pip install pandas opencv-python


import cv2
import pandas as pd

# --------------------------------------------------------------------------

pic = int(input("enter your pic no"))
img_path = f"E:\downloads\Color detection-20210813T073902Z-001\Color detection\\pic{pic}.jpg"
csv_path = 'E:\downloads\Color detection-20210813T073902Z-001\Color detection\\colors.csv'

# reading csv file
index = ['color', 'color_name', 'hex', 'R', 'G', 'B']
df = pd.read_csv(csv_path, names=index, header=None)

# reading image
img = cv2.imread(img_path)
img = cv2.resize(img, (800,600))

#declaring global variables
clicked = False
r = g = b = xpos = ypos = 0

#function to calculate minimum distance from all colors and get the most matching color
def get_color_name(R,G,B):
	minimum = 1000
	for i in range(len(df)):
		d = abs(R - int(df.loc[i,'R'])) + abs(G - int(df.loc[i,'G'])) + abs(B - int(df.loc[i,'B']))
		if d <= minimum:
			minimum = d
			cname = df.loc[i, 'color_name']

	return cname

#function to get x,y coordinates of mouse double click
def draw_function(event, x, y, flags, params):
	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)

# creating window
cv2.namedWindow('image')
cv2.setMouseCallback('image', draw_function)

while True:
	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 = 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)

	if cv2.waitKey(20) & 0xFF == 27:
		break

cv2.destroyAllWindows()