python - How to detect black and gray from an image -

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i trying program detect hue of black (and slight gray), having difficulties trying find upper hue vector (the upper_hue variable) allow me extract hues of black out extracting other colors. seems work pictures black shoes or umbrella, there has problems photos of roads brightness varies.

i trying find upper hue range allow program robust against this, risks getting non-black colors.

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what upper hue vector of values black , gray. if isn't issue, way solve this?

code:

import cv2 import numpy np import imutils  def color_seg(choice):     if choice == 'blue':         lower_hue = np.array([100,30,30])         upper_hue = np.array([150,148,255])     elif choice == 'white':         lower_hue = np.array([0,0,0])         upper_hue = np.array([0,0,255])     elif choice == 'black':         lower_hue = np.array([0,0,0])         upper_hue = np.array([50,50,100])     return lower_hue, upper_hue   # take each frame frame = cv2.imread('images/black0.jpg') #frame = cv2.imread('images/road_1.jpg')  frame = imutils.resize(frame, height = 300) chosen_color = 'black'   # convert bgr hsv hsv = cv2.cvtcolor(frame, cv2.color_bgr2hsv)  # define range of color in hsv lower_hue, upper_hue = color_seg(chosen_color)   # threshold hsv image blue colors mask = cv2.inrange(hsv, lower_hue, upper_hue)   cv2.imshow('frame',frame) cv2.imshow('mask',mask)  cv2.waitkey(0)


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