16pgce005's profile - activity

@gfx in any manner. i'm interested in understanding and the desired outcome.

ok. thanks. will try to use your suggestion.

import cv2 import numpy as np

cap = cv2.VideoCapture(0)

while(1):

_, frame = cap.read()
hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
**lower_blue = np.array([110,50,50])
upper_blue = np.array([130,255,255])**
mask = cv2.inRange(hsv, lower_blue, upper_blue)
res = cv2.bitwise_and(frame,frame, mask = mask)

cv2.imshow('frame',frame)
cv2.imshow('mask',mask)
cv2.imshow('res',res)
k = cv2.waitKey(5) & 0xFF
if k == 27:
    break

cv2.destroyAllWindows()

In the example given above, for blue colour, exact upper bound and lower bound has been defined. How to calculate it for other colours in the HSV?