In [1]:

    

import cv2
import numpy as np
import matplotlib.pyplot as plt


    

In [2]:

    

help(cv2.GaussianBlur)


    

    




Help on built-in function GaussianBlur:

GaussianBlur(...)
    GaussianBlur(src, ksize, sigmaX[, dst[, sigmaY[, borderType]]]) -> dst

In [12]:

    

cd ../


    

    




/home/krshrimali/Documents/Python/tkinter

In [16]:

    

img = cv2.imread('Me1.png')
filter = cv2.GaussianBlur(img, (5,5), 0)


    

In [17]:

    

plt.subplot(121), plt.imshow(img), plt.title('Original')
plt.subplot(122), plt.imshow(filter), plt.title('Blurred')
plt.show()


    

In [22]:

    

import cv2

cap = cv2.VideoCapture(0)
fourcc = cv2.VideoWriter_fourcc(*'XVID')
out = cv2.VideoWriter('output.avi', fourcc, 20.0, (640, 480))

while True:
    ret, frame = cap.read()
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    out.write(frame)
    cv2.imshow('frame', frame)
    cv2.imshow('frame2', gray)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

cap.release()
out.release()
cv2.destroyAllWindows()


    

In [21]:

    

pwd


    

    
Out[21]:





u'/home/krshrimali/Documents/Python/tkinter/opencv'

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