asd

import cv2

import numpy as np

from time import time

cap = cv2.VideoCapture(0)

while True:

t1 = time()

_ , frame = cap.read()

frame2hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)

lower_color = np.array([75,130,10])

upper_color = np.array([125,240,140])

mask = cv2.inRange(frame2hsv,lower_color,upper_color)

res = cv2.bitwise_and(frame, frame, mask = mask)

blur = cv2.GaussianBlur(res,(15,15),0)

cv2.imshow('Gaussian Blurring',blur)

median = cv2.medianBlur(res,15)

cv2.imshow('Median Blur',median)

bilateral = cv2.bilateralFilter(res,15,75,75)

cv2.imshow('bilateral Blur',bilateral)

cv2.imshow("frame", frame )

cv2.imshow("mask", mask )

cv2.imshow("res", res )

if cv2.waitKey(1) != -1:

break

t2=time()

print(t2-t1)

cap.release()

cv2.destroyAllWindows()

l

`import cv2`
`import numpy as np`
`from time import time`
`cap = cv2.VideoCapture(0)`
​
`while True:`
​
 `t1 = time()`
​
 `_ , frame = cap.read()`
 `frame2hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)`
 `lower_color = np.array([75,130,10])`
 `upper_color = np.array([125,240,140])`
​
 `mask = cv2.inRange(frame2hsv,lower_color,upper_color)`
 `res = cv2.bitwise_and(frame, frame, mask = mask)`
​
 `blur = cv2.GaussianBlur(res,(15,15),0)`
 `cv2.imshow('Gaussian Blurring',blur)`
​
 `median = cv2.medianBlur(res,15)`
 `cv2.imshow('Median Blur',median)`
​
 `bilateral = cv2.bilateralFilter(res,15,75,75)`
 `cv2.imshow('bilateral Blur',bilateral)`
​
 `cv2.imshow("frame", frame )`
 `cv2.imshow("mask", mask )`
 `cv2.imshow("res", res )`
 `if cv2.waitKey(1) != -1:`
 `break`
​
 `t2=time()`
 `print(t2-t1)`
​
`cap.release()`
`cv2.destroyAllWindows()` 

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