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Optimize fast homography

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This commit is contained in:
Johannes Schönberger
2012-08-25 13:57:32 +02:00
parent af708d2e00
commit 50d184374a
1 changed files with 4 additions and 1 deletions
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skimage/transform/_project.pyx
+4 -1
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@@ -80,13 +80,15 @@ def homography(np.ndarray image, np.ndarray H, output_shape=None, int order=1,
"""
cdef np.ndarray[dtype=np.double_t, ndim=2] img = image.astype(np.double)
cdef np.ndarray[dtype=np.double_t, ndim=2, mode="c"] img = \
np.ascontiguousarray(image, dtype=np.double)
cdef np.ndarray[dtype=np.double_t, ndim=2, mode="c"] M = \
np.ascontiguousarray(np.linalg.inv(H))
if mode not in ('constant', 'wrap', 'mirror'):
raise ValueError("Invalid mode specified. Please use "
"`constant`, `wrap` or `mirror`.")
cdef char mode_c
if mode == 'constant':
mode_c = ord('C')
elif mode == 'wrap':
@@ -94,6 +96,7 @@ def homography(np.ndarray image, np.ndarray H, output_shape=None, int order=1,
elif mode == 'mirror':
mode_c = ord('M')
cdef int out_r, out_c
if output_shape is None:
out_r = img.shape[0]
out_c = img.shape[1]