import cv2
import numpy as np
from matplotlib import pyplot as plt
img = cv2.imread("dps3.jpg")
img2 = img
img2[:] = [32,33,34]
cv2.imshow('image',img2)
kernel = np.ones((100,100),np.float32)/10000
dst = cv2.filter2D(img,-1,kernel)
cv2.imshow('image',dst)
cv2.waitKey(0)
cv2.destroyAllWindows()


import cv2
import numpy as np

def nothing(x):
    pass

# Create a black image, a window
img = cv2.imread("dps3.jpg")
cv2.namedWindow('image')

# create trackbars for color change
cv2.createTrackbar('Smoothing','image',10,100,nothing)
dst = img

while(1):
    cv2.imshow('image',dst)
    k = cv2.waitKey(1) & 0xFF
    if k == 27:
        break
    s = cv2.getTrackbarPos('Smoothing','image')
    if s == 0:
        s = 1
    kernel = np.ones((s,s),np.float32)/(s*s)
    dst = cv2.filter2D(img,-1,kernel)
cv2.destroyAllWindows()