def gauss_pyramid(image, levels):
'''Construct a pyramid from the image, of height levels.
image - an image of dimension (r,c) and dtype float.
levels - a positive integer that specifies the number of reductions you should
do. So, if levels = 0, you should return a list containing just the
input image. If levels = 1, you should do one reduction, etc.
len(output) = levels + 1
output - a list of arrays of dtype np.float. The first element of the list is
layer 0 of the pyramid (the image itself). output[1] is layer 1 of the
pyramid (image reduced once), etc.
Consult the lecture and tutorial videos for more details about Gaussian Pyramids.
'''
output = [[] for i in range(levels+1)]
output[0] = image
for i in range(1, levels+1):
output[i] = part0.reduce(output[i-1])
return output
def gauss_pyramid(image, levels):
'''
Construct a pyramid from the image, of height levels.
image - an image of dimension (r,c) and dtype float.
levels - a positive integer that specifies the number of reductions you should
do. So, if levels = 0, you should return a list containing just the
input image. If levels = 1, you should do one reduction, etc.
len(output) = levels + 1
output - a list of arrays of dtype np.float. The first element of the list is
layer 0 of the pyramid (the image itself). output[1] is layer 1 of the
pyramid (image reduced once), etc.
'''
output = [image]
last_image = image
for i in range(levels):
last_image = part0.reduce(last_image);
output.append(last_image)
return output
