def search(self, dst_thum, debug=False):
hog_list = self.match(dst_thum, self.hog_index, hog3, LSH_hog,
eculidean_dist)
#hog_list2 = self.match2(dst_thum, self.hog_index, hog3, LSH_hog, eculidean_dist)
sift_list = self.match(dst_thum, self.sift_index, sift2, LSH_sift,
eculidean_dist)
#sift_list2 = self.match2(dst_thum, self.sift_index, sift2, LSH_sift, eculidean_dist)
local_list = blending([
(hog_list, 0.8),
(sift_list, 1),
], 5, 2)
local_list2 = ensembling([
(hog_list, 1),
(sift_list, 1),
], 5, 2)
if debug:
return [
('hog lsh', hog_list),
('sift lsh', sift_list),
('similar images (local similarity)', local_list),
('local ensembing', local_list2),
]
else:
return [
('similar images (local similarity)', local_list),
]
def search(self, dst_thum, debug=False):
phash_list = self.match(dst_thum, self.phash, phash, hamming)
ohash_list = self.match(dst_thum, self.ohash, otsu_hash, hamming)
ohash_list2 = self.match(dst_thum, self.ohash2, otsu_hash2, hamming)
hash_list = blending([
(phash_list, 1),
(ohash_list, 1),
(ohash_list2, 1),
], 1, 6)
ghisto_list = self.match(dst_thum, self.grayhisto, gray_histo,
abs_dist)
rhisto_list = self.match(dst_thum, self.rgbhisto, rgb_histo, abs_dist)
yhisto_list = self.match(dst_thum, self.yuvhisto, yuv_histo, abs_dist)
hhisto_list = self.match(dst_thum, self.hsvhisto, hsv_histo, abs_dist)
histo_list = blending([
(ghisto_list, 4),
(rhisto_list, 1),
(yhisto_list, 1),
(hhisto_list, 1),
], 5, 2)
histo_list2 = ensembling([
(ghisto_list, 3),
(rhisto_list, 1),
(yhisto_list, 1),
(hhisto_list, 1),
], 5, 6)
gist_list = self.match(dst_thum, self.gist, gist, eculidean_dist)
texture_list = blending([
(gist_list, 1),
], 5, 0.8)
if debug:
return [
('duplicate images', hash_list),
('gray', ghisto_list),
('rgb', rhisto_list),
('hsv', hhisto_list),
('yuv', yhisto_list),
('similar images (color histogram)', histo_list),
('similar images (texture)', texture_list),
]
else:
return [
('duplicate images', hash_list),
('similar images (color histogram)', histo_list),
('similar images (texture)', texture_list),
]
def search(self, dst_thum, debug=False):
phash_list = self.match(dst_thum, self.phash, phash, hamming)
ohash_list = self.match(dst_thum, self.ohash, otsu_hash, hamming)
ohash_list2 = self.match(dst_thum, self.ohash2, otsu_hash2, hamming)
hash_list = blending([(phash_list, 1),
(ohash_list, 1),
(ohash_list2, 1),
], 1, 6)
ghisto_list = self.match(dst_thum, self.grayhisto, gray_histo, abs_dist)
rhisto_list = self.match(dst_thum, self.rgbhisto, rgb_histo, abs_dist)
yhisto_list = self.match(dst_thum, self.yuvhisto, yuv_histo, abs_dist)
hhisto_list = self.match(dst_thum, self.hsvhisto, hsv_histo, abs_dist)
histo_list = blending([(ghisto_list, 4),
(rhisto_list, 1),
(yhisto_list, 1),
(hhisto_list, 1),
], 5, 2)
histo_list2 = ensembling([(ghisto_list, 3),
(rhisto_list, 1),
(yhisto_list, 1),
(hhisto_list, 1),
], 5, 6)
gist_list = self.match(dst_thum, self.gist, gist, eculidean_dist)
texture_list = blending([(gist_list, 1),
], 5, 0.8)
if debug:
return [('duplicate images', hash_list),
('gray', ghisto_list),
('rgb', rhisto_list),
('hsv', hhisto_list),
('yuv', yhisto_list),
('similar images (color histogram)', histo_list),
('similar images (texture)', texture_list),
]
else:
return [('duplicate images', hash_list),
('similar images (color histogram)', histo_list),
('similar images (texture)', texture_list),
]
def search(self, dst_thum, debug=False):
hog_list = self.match(dst_thum, self.hog_index, hog3, LSH_hog, eculidean_dist)
#hog_list2 = self.match2(dst_thum, self.hog_index, hog3, LSH_hog, eculidean_dist)
sift_list = self.match(dst_thum, self.sift_index, sift2, LSH_sift, eculidean_dist)
#sift_list2 = self.match2(dst_thum, self.sift_index, sift2, LSH_sift, eculidean_dist)
local_list = blending([(hog_list, 0.8),
(sift_list, 1),
], 5, 2)
local_list2 = ensembling([(hog_list, 1),
(sift_list, 1),
], 5, 2)
if debug:
return [
('hog lsh', hog_list),
('sift lsh', sift_list),
('similar images (local similarity)', local_list),
('local ensembing', local_list2),
]
else:
return [
('similar images (local similarity)', local_list),
]