Hide experimental GSoC functions for 0.9 release

This commit is contained in:
Johannes Schönberger
2013-10-02 16:48:27 +02:00
parent 5ea79d4301
commit c414d0efd5
6 changed files with 13 additions and 12 deletions
+2 -8
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@@ -7,9 +7,7 @@ from .corner import (corner_kitchen_rosenfeld, corner_harris,
corner_peaks)
from .corner_cy import corner_moravec
from .template import match_template
from ._brief import brief, match_keypoints_brief
from .util import pairwise_hamming_distance
from .censure import keypoints_censure
__all__ = ['daisy',
'hog',
@@ -24,8 +22,4 @@ __all__ = ['daisy',
'corner_subpix',
'corner_peaks',
'corner_moravec',
'match_template',
'brief',
'pairwise_hamming_distance',
'match_keypoints_brief',
'keypoints_censure']
'match_template']
+6 -2
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@@ -9,7 +9,9 @@ from ._brief_cy import _brief_loop
def brief(image, keypoints, descriptor_size=256, mode='normal', patch_size=49,
sample_seed=1, variance=2):
"""Extract BRIEF Descriptor about given keypoints for a given image.
"""**Experimental function**.
Extract BRIEF Descriptor about given keypoints for a given image.
Parameters
----------
@@ -178,7 +180,9 @@ def brief(image, keypoints, descriptor_size=256, mode='normal', patch_size=49,
def match_keypoints_brief(keypoints1, descriptors1, keypoints2,
descriptors2, threshold=0.15):
"""Match keypoints described using BRIEF descriptors in one image to
"""**Experimental function**.
Match keypoints described using BRIEF descriptors in one image to
those in second image.
Parameters
+2 -1
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@@ -111,7 +111,8 @@ def _suppress_lines(feature_mask, image, sigma, line_threshold):
def keypoints_censure(image, min_scale=1, max_scale=7, mode='DoB',
non_max_threshold=0.15, line_threshold=10):
"""
"""**Experimental function**.
Extracts CenSurE keypoints along with the corresponding scale using
either Difference of Boxes, Octagon or STAR bi-level filter.
+3 -1
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@@ -14,7 +14,9 @@ def _mask_border_keypoints(image, keypoints, dist):
def pairwise_hamming_distance(array1, array2):
"""Calculate hamming dissimilarity measure between two sets of
"""**Experimental function**.
Calculate hamming dissimilarity measure between two sets of
vectors.
Parameters