Colour

import cv2
import numpy as np
cap = cv2.VideoCapture(0)
#BGR
luc = [
    ([17, 15, 100], [50, 56, 200],'RED'),
    ([86, 31, 4], [220, 88, 50], "B"),
    ([25, 146, 190], [62, 174, 250],"Y"),
    ([103, 86, 65], [145, 133, 128],"GRAY"),
    ([40, 210, 100],[40, 200, 30], "GREEN")
]
while(cap.isOpened):
    _, frame = cap.read()
    for (lower, upper, colour) in luc:
        lower = np.array(lower, dtype = "uint8")
        upper = np.array(upper, dtype = "uint8")
        mask = cv2.inRange(frame, lower, upper)
        kernel = np.ones((5,5),'int')
        dilated = cv2.dilate(mask,kernel)
        res = cv2.bitwise_and(frame,frame, mask=mask)
        ret,thrshed = cv2.threshold(cv2.cvtColor(res,cv2.COLOR_BGR2GRAY),3,255,cv2.THRESH_BINARY)
        contours,hier = cv2.findContours(thrshed,cv2.RETR_LIST,cv2.CHAIN_APPROX_SIMPLE)
        for cnt in contours:
            area = cv2.contourArea(cnt)
            if area > 100:
                print(colour)
        # cv2.imshow("frames", np.hstack([frame, res]))
        cv2.imshow("frame", frame)
    k = cv2.waitKey(5) & 0xFF
    if k == 27:
        break
cap.release()
cv2.destroyAllWindows()