Add files via upload

Author: harshwardhan18t

colour detection mini project python/output/Screenshot (4).png

@@ -0,0 +1,70 @@
+# 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()