import cv2

import numpy as np

cap = cv2.VideoCapture(0)

cap.set(3 , 400 )

cap.set(4 , 512 )

cap.set(10, 100 )

def empty():

pass

cv2.namedWindow("HSV")

cv2.resizeWindow( "HSV" , 400 , 400 )

cv2.createTrackbar("HUE_MIN" , "HSV" , 0 , 179 , empty )

cv2.createTrackbar("SAT_MIN" , "HSV" , 0 , 255 , empty)

cv2.createTrackbar("VALUE_MIN" , "HSV" , 0 , 255 , empty )

cv2.createTrackbar("HUE_MAX" , "HSV" , 179 , 179 , empty)

cv2.createTrackbar("SAT_MAX" , "HSV" , 255 , 255 ,empty)

cv2.createTrackbar("VALUE_MAX" , "HSV" , 255 , 255 , empty)

while True:

_ , img = cap.read()

img = cv2.resize( img , ( 400 , 400 ))

hsv_img = cv2.cvtColor( img , cv2.COLOR_BGR2HSV )

h_min = cv2.getTrackbarPos( "HUE_MIN" , "HSV" )

h_max = cv2.getTrackbarPos( "HUE_MAX" , "HSV" )

s_min = cv2.getTrackbarPos( "SAT_MIN" , "HSV" )

s_max = cv2.getTrackbarPos( "SAT_MAX" , "HSV" )

v_min = cv2.getTrackbarPos( "VALUE_MIN" , "HSV" )

v_max = cv2.getTrackbarPos( "VALUE_MAX" , "HSV" )

lower = np.array([ h_min , s_min , v_min])

higher = np.array([ h_max , s_max , v_max])

mask = cv2.inRange(hsv_img , lower , higher)

cv2.imshow( "hsv" , img )

cv2.imshow( "mask" , mask)

if cv2.waitKey(1) & 0xff == ord('q') :

break