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pep8 changes

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This commit is contained in:
Vighnesh Birodkar
2015-06-06 21:51:36 +05:30
parent c332fd5363
commit cf98558196
2 changed files with 8 additions and 8 deletions
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skimage/transform/_seam_carving.pyx
+5 -5
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@@ -6,7 +6,7 @@ import numpy as np
cimport numpy as cnp
cdef cnp.double_t ABSOLUTE_MAX = np.finfo(np.double).max
cdef cnp.double_t DBL_MAX = np.finfo(np.double).max
cdef find_seam_v(cnp.double_t[:, ::1] energy_img, cnp.int8_t[:, ::1] track_img,
@@ -22,10 +22,10 @@ cdef find_seam_v(cnp.double_t[:, ::1] energy_img, cnp.int8_t[:, ::1] track_img,
track_img : (M, N) ndarray
The image used to store the optimal decision made at each point while
finding a minimum cost path.
current_cost : (N, ) ndarray
current_cost : (N,) ndarray
An array to store the current cost of the optimal path for each column
in row currently being processed.
prev_cost : (N, ) ndarray
prev_cost : (N,) ndarray
An array to store the current cost of the optimal path for each column
in row prior to the one being processed.
cols : int
@@ -35,7 +35,7 @@ cdef find_seam_v(cnp.double_t[:, ::1] energy_img, cnp.int8_t[:, ::1] track_img,
Returns
-------
seam : (M, ) ndarray
seam : (M, ) ndarray of int
An array containing the index of the row of the pixel to be removed
for each column in the image.
@@ -58,7 +58,7 @@ cdef find_seam_v(cnp.double_t[:, ::1] energy_img, cnp.int8_t[:, ::1] track_img,
for row in range(1, rows):
for col in range(0, cols):
min_cost = ABSOLUTE_MAX
min_cost = DBL_MAX
for offset in range(-1, 2):
idx = col + offset