re.txt

import cv2
import numpy as np
import pandas as pd
import argparse
import tkinter as tk
from tkinter import filedialog

# Creating argument parser to take image path from command line
ap = argparse.ArgumentParser()
ap.add_argument('-i', '--image', required=False, help="Image Path")
args = vars(ap.parse_args())

root = tk.Tk()
root.withdraw()


# Open file dialog to select an image
file_path = filedialog.askopenfilename()

if file_path:
    img_path = file_path
elif args["image"]:
    img_path = args["image"]
else:
    print("Please provide an image path")

# Reading the image with opencv
img = cv2.imread(img_path)

# 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
csv = pd.read_csv('named_colors_output.csv')

# Function to calculate minimum distance from all colors and get the most matching color
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 click
def draw_function(event, x, y, flags, param):
    if event == cv2.EVENT_MOUSEMOVE:
        global b, g, r
        b, g, r = img[y, x]
        color_scanner = np.zeros((300, 300, 3), np.uint8)
        color_scanner[:, :] = (b, g, r)
        cv2.putText(color_scanner, "B: {} G: {} R: {}".format(b, g, r), (5, 20), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 255, 255), 1)
        cv2.imshow('color_scanner', color_scanner)

cv2.namedWindow('image')
cv2.setMouseCallback('image', draw_function)


while True:
    # Set maximum size of the image
    max_size = 800 

    # Calculate the scale percent based on the maximum size and the image's original size
    scale_percent = min(max_size / img.shape[1], max_size / img.shape[0]) * 100

    # Calculate the new dimensions of the scaled image
    width = int(img.shape[1] * scale_percent / 100)
    height = int(img.shape[0] * scale_percent / 100)
    dim = (width, height)

    # Resize the image
    scaled_img = cv2.resize(img, dim, interpolation=cv2.INTER_AREA)

    # Display the scaled image
    cv2.imshow("image", scaled_img)

    # Update the color rectangle and text when the user clicks on the image
    text = ""
    if clicked:
        cv2.rectangle(img, (20, 20), (750, 60), (b, g, r), -1)
        text = getColorName(r, g, b) + ' R=' + str(r) + ' G=' + str(g) + ' B=' + str(b)

    # Set font properties
    font = cv2.FONT_HERSHEY_SIMPLEX
    font_scale = 1
    thickness = 2

# Display the text on the image
cv2.putText(scaled_img, text, (50, 50), font, font_scale, (255, 255, 255), thickness, cv2.LINE_AA)

# Press 'esc' to exit the program
k = cv2.waitKey(20) & 0xFF
if k == 27:
    break

# Press 'c' to capture the color and display it on the rectangle
if k == ord('c'):
    clicked = True