Changing the variable names of constant objects

This commit is contained in:
Ankit Agrawal
2013-08-15 14:59:58 +05:30
parent ccbca1349b
commit bea9aa4414
+15 -13
View File
@@ -14,6 +14,13 @@ def _get_filtered_image(image, n_scales, mode):
scales = np.zeros((image.shape[0], image.shape[1], n_scales),
dtype=np.double)
OCTAGON_OUTER_SHAPE = [(5, 2), (5, 3), (7, 3), (9, 4), (9, 7), (13, 7),
(15, 10)]
OCTAGON_INNER_SHAPE = [(3, 0), (3, 1), (3, 2), (5, 2), (5, 3), (5, 4), (5, 5)]
STAR_SHAPE = [1, 2, 3, 4, 6, 8, 11, 12, 16, 22, 23, 32, 45, 46, 64, 90, 128]
STAR_FILTER_SHAPE = [(1, 0), (3, 1), (4, 2), (5, 3), (7, 4), (8, 5),
(9, 6),(11, 8), (13, 10), (14, 11), (15, 12), (16, 14)]
if mode == 'DoB':
for i in range(n_scales):
n = i + 1
@@ -39,23 +46,18 @@ def _get_filtered_image(image, n_scales, mode):
# later for a much cleaner implementation.
elif mode == 'Octagon':
# TODO : Decide the shapes of Octagon filters for scales > 7
outer_shape = [(5, 2), (5, 3), (7, 3), (9, 4), (9, 7), (13, 7),
(15, 10)]
inner_shape = [(3, 0), (3, 1), (3, 2), (5, 2), (5, 3), (5, 4), (5, 5)]
for i in range(n_scales):
scales[:, :, i] = convolve(image,
_octagon_filter(outer_shape[i][0],
outer_shape[i][1], inner_shape[i][0],
inner_shape[i][1]))
_octagon_filter_kernel(OCTAGON_OUTER_SHAPE[i][0],
OCTAGON_OUTER_SHAPE[i][1], OCTAGON_INNER_SHAPE[i][0],
OCTAGON_INNER_SHAPE[i][1]))
else:
shape = [1, 2, 3, 4, 6, 8, 11, 12, 16, 22, 23, 32, 45, 46, 64, 90, 128]
filter_shape = [(1, 0), (3, 1), (4, 2), (5, 3), (7, 4), (8, 5),
(9, 6),(11, 8), (13, 10), (14, 11), (15, 12), (16, 14)]
for i in range(n_scales):
scales[:, :, i] = convolve(image,
_star_filter(shape[filter_shape[i][0]],
shape[filter_shape[i][1]]))
_star_filter_kernel(STAR_SHAPE[STAR_FILTER_SHAPE[i][0]],
STAR_SHAPE[STAR_FILTER_SHAPE[i][1]]))
return scales
@@ -74,7 +76,7 @@ def _oct(m, n):
return convex_hull_image(f).astype(int)
def _octagon_filter(mo, no, mi, ni):
def _octagon_filter_kernel(mo, no, mi, ni):
outer = (mo + 2 * no)**2 - 2 * no * (no + 1)
inner = (mi + 2 * ni)**2 - 2 * ni * (ni + 1)
outer_weight = 1.0 / (outer - inner)
@@ -107,7 +109,7 @@ def _star(a):
return selem_square + selem_triangle
def _star_filter(m, n):
def _star_filter_kernel(m, n):
c = m + m / 2 - n - n / 2
outer_star = _star(m)
inner_star = np.zeros((outer_star.shape))