def timeChallenge():
im = io.imread('zebra.png')
t1=time.time()
a3.gaussianBlur(im,2, 3)
print time.time()-t1, 'seconds for Gaussian Blur'
t2=time.time()
a3.convolve(im, a3.gauss2D())
print time.time()-t2, 'seconds for Convolve'
import a3
import imageIO as io
import time
zebra = io.imread('zebra.png')
print 'Begin separable Gaussian'
start = time.time()
zebra1 = a3.gaussianBlur(zebra, 3, 3)
end = time.time()
print end - start, 'seconds'
print 'Begin 2D Gaussian'
start = time.time()
zebra2 = a3.convolve(zebra, a3.gauss2D(3, 3))
end = time.time()
print end - start, 'seconds'
io.imwrite(zebra1, 'zebraSeparableGaussian.png')
io.imwrite(zebra2, 'zebra2DGaussian.png')
def test_equal():
im=io.imread('pru.png')
out1=a3.convolve(im, a3.gauss2D())
out2=a3.gaussianBlur(im,2, 3)
res=abs(out1-out2);
return (sum(res.flatten())<0.1)
def test_gaussianBlur():
im=io.imread('pru.png')
out=a3.gaussianBlur(im, 2,3)
io.imwrite(out, 'my_gaussBlur.png')