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Correct parameters given in function get_gaussian_filter() #3

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Correct parameters given in function get_gaussian_filter() #3

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f39fb5d
shape and sigma arguments issue resolved
krshrimali May 22, 2018
31c92cd
Merge pull request #1 from krshrimali/krshrimali-patch-1
krshrimali May 22, 2018
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10 changes: 7 additions & 3 deletions brisque_features.py
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Original file line number Diff line number Diff line change
@@ -1,12 +1,16 @@
# Python code for BRISQUE model
# Original paper title: No-Reference Image Quality Assessment in the Spatial Domain
# Link: http://ieeexplore.ieee.org/document/6272356/

# To-Do : Verify and add rest functions from https://github.com/RentTheRunway/Eigenstyle/tree/master/brisque_revised
# Add understandable comments.

import cv2
import numpy as np
from scipy import ndimage
import math

def get_gaussian_filter():
def get_gaussian_filter(shape, sigma):
[m,n] = [(ss - 1.0) / 2.0 for ss in (shape,shape)]
[y,x] = np.ogrid[-m:m+1,-n:n+1]
window = np.exp( -(x*x + y*y) / (2.0*sigma*sigma) )
Expand Down Expand Up @@ -38,7 +42,7 @@ def lmom(X):

def compute_features(im):
im = im.astype(np.float)
window = get_gaussian_filter()
window = get_gaussian_filter(5, 0.5) # shape - (shape, shape) = window size and sigma = 0.5 (generally)
scalenum = 2
feat = []
for itr_scale in range(scalenum):
Expand All @@ -64,4 +68,4 @@ def compute_features(im):

im = ndimage.imread('example.bmp', flatten=True)
feat = compute_features(im)
print feat
print(feat) # for python3.6 support