使用Pandas和OpenCV进行颜色检测 源代码与数据集

import cv2 import numpy as np import pandas as pd import argparse #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) #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 = 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,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(1): cv2.imshow("image",img) if (clicked): #cv2.rectangle(image, startpoint, 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 = getColorName(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()