GaussianBlur module not found on OpenCV 2.4

Question

I'm trying to do a gussian filter on a video stream with Python OpenCV but I get the error:

blur = cv.GaussianBlur(dst, (5, 5), 0)
AttributeError: 'module' object has no attribute 'GaussianBlur'

I'm pretty sure gaussian blur should work with openCV 2.4 so I must be doing something wrong. The code otherwise does what I want it to if I comment out the gaussian blur line.

Here's the whole thing:

import sys
from math import sin, cos, sqrt, pi
import cv2.cv as cv
import urllib2

if __name__ == '__main__':
    try: fn = sys.argv[1]
    except: fn = 0

def nothing(*args):
    pass

cv.NamedWindow("Source", 1)
cv.NamedWindow("Hough", 1)
cv.CreateTrackbar("rho","Hough",1,10, nothing)
cv.CreateTrackbar("thresh","Hough",1,1000, nothing)
cv.CreateTrackbar("cThresh1","Hough",0,500, nothing)
cv.CreateTrackbar("cThresh2","Hough",0,500, nothing)

while True:
    url = 'http://192.168.5.1:8080/shot.jpg'
    filedata = urllib2.urlopen(url).read()
    imagefiledata = cv.CreateMatHeader(1, len(filedata), cv.CV_8UC1)
    cv.SetData(imagefiledata, filedata, len(filedata))
    src = cv.DecodeImageM(imagefiledata, cv.CV_LOAD_IMAGE_GRAYSCALE)

#Get Image  
    dst = cv.CreateImage(cv.GetSize(src), 8, 1)
    color_dst = cv.CreateImage(cv.GetSize(src), 8, 3)
    storage = cv.CreateMemStorage(0)
    lines = 0

#blur
    blur = cv.GaussianBlur(dst, (5, 5), 0)

#Canny    
cThresh1 = cv.GetTrackbarPos('cThresh1', 'Hough')
cThresh2 = cv.GetTrackbarPos('cThresh2', 'Hough')
cv.Canny(src, dst, cThresh1, cThresh2, 5)
cv.CvtColor(blur, color_dst, cv.CV_GRAY2BGR)

#Hough     
    rho = cv.GetTrackbarPos('rho', 'Hough')
    thresh = cv.GetTrackbarPos('thresh', 'Hough')
    lines = cv.HoughLines2(dst, storage, cv.CV_HOUGH_STANDARD, rho, pi / 180, thresh, 0, 0)

    for (rho, theta) in lines[:100]:
            a = cos(theta)
            b = sin(theta)
            x0 = a * rho 
            y0 = b * rho
            pt1 = (cv.Round(x0 + 1000*(-b)), cv.Round(y0 + 1000*(a)))
            pt2 = (cv.Round(x0 - 1000*(-b)), cv.Round(y0 - 1000*(a)))
            cv.Line(color_dst, pt1, pt2, cv.RGB(255, 0, 0), 3, 8)

#Display Video  
    cv.ShowImage("Source", src)
    cv.ShowImage("Hough", color_dst)
    if cv.WaitKey(10) == 27:
        break

score 7 · Accepted Answer · edited May 23 '17 at 11:45

7

OpenCV has two modules , cv and cv2.

For cv, image is loaded as cvMat while for cv2, it is loaded as numpy array. So all operations are done on numpy arrays in cv2 module. It simplifies several things.

What is different between all these OpenCV Python interfaces?

So simply:

import cv2
import numpy as np

img = cv2.imread('image.jpg')
gaussian_blur = cv2.GaussianBlur(img,(5,5),0)

This is sufficient for you to get the blurred result.

Check out : Smoothing Techniques in OpenCV

Also, check the documentation.

edited May 23 '17 at 11:45

Community

1
1

answered Jun 28 '12 at 18:29

Abid Rahman K

51,886
31
146
157

Thanks! got it working. I'm going to guess that the blur output is a numpy array also so I'll have to redo the whole code? – JDD Jun 28 '12 at 19:23
yeah. every output in new cv2 module is either an `numpy array` ( all images ), or `lists` ( like contours) or `tuples` ( like points etc ) or `dictionary` ( output of moments). – Abid Rahman K Jun 28 '12 at 19:27

score 2 · Answer 2 · answered Feb 07 '13 at 12:39

2

Gaussian Blur in cv -- import cv2.cv as cv

cv.Smooth(src, dst, cv.CV_GAUSSIAN, 5, 5)

but Gaussian Blur in cv2 -- import cv2

dst = cv2.GaussianBlur(src,(5,5),0)

answered Feb 07 '13 at 12:39

Abdo

600
6
9

GaussianBlur module not found on OpenCV 2.4

2 Answers2