def __init__(self):
with open('vocabulary-new.pkl', 'rb') as f:
self.voc = pickle.load(f)
url = 'static/'
self.imlist = vocabulary.get_img_list(url)
self.feature = vocabulary.get_feature_list(url)
self.nbr_images = len(self.imlist)
self.ndx = range(self.nbr_images)
self.maxres = 15
self.header = """
<!doctype html>
<head>
<title>Image search</title>
</head>
<body>
"""
self.footer = """
def __init__(self):
with open('vocabulary-new.pkl', 'rb') as f:
self.voc = pickle.load(f)
url = 'static/'
self.imlist = vocabulary.get_img_list(url)
self.feature = vocabulary.get_feature_list(url)
self.nbr_images = len(self.imlist)
self.ndx = range(self.nbr_images)
self.maxres = 15
self.header = """
<!doctype html>
<head>
<title>Image search</title>
</head>
<body>
"""
self.footer = """
# indx.db_commit()
#
# src = Searcher('/home/aurora/hdd/workspace/PycharmProjects/test.db', voc)
src = Searcher('test.db', voc)
# locs, descr = sift.read_feature_from_file(url+'ukbench00432.sift')
# iw = src.voc.project(descr)
# # index = range(0, iw.shape[0], 1)
# # figure, ax = plt.subplots()
# # ax.scatter(index, iw)
# # plt.show()
#
# print 'ask using a histogram...'
# print src.candidates_from_histogram(iw)[:10]
# print 'try a query...'
# print src.query(url+'ukbench00000.jpg')[:4]
imlists = vocabulary.get_img_list(url)
# images = imlists
# print images
# results = compute_ukbench_score(src, images)
# print results
nbr_results = 6
res = [w[1] for w in src.query(imlists[0])[:nbr_results]]
plot_results(src, res)
# test file match
# imlists = vocabulary.get_img_list(url)
# features_lists = vocabulary.get_feature_list(url)
# files = [(w[-17:], d[-16:]) for w, d in zip(imlists, features_lists)]
# print files
# indx.db_commit()
#
# src = Searcher('/home/aurora/hdd/workspace/PycharmProjects/test.db', voc)
src = Searcher('test.db', voc)
# locs, descr = sift.read_feature_from_file(url+'ukbench00432.sift')
# iw = src.voc.project(descr)
# # index = range(0, iw.shape[0], 1)
# # figure, ax = plt.subplots()
# # ax.scatter(index, iw)
# # plt.show()
#
# print 'ask using a histogram...'
# print src.candidates_from_histogram(iw)[:10]
# print 'try a query...'
# print src.query(url+'ukbench00000.jpg')[:4]
imlists = vocabulary.get_img_list(url)
# images = imlists
# print images
# results = compute_ukbench_score(src, images)
# print results
nbr_results = 6
res = [w[1] for w in src.query(imlists[0])[:nbr_results]]
plot_results(src, res)
# test file match
# imlists = vocabulary.get_img_list(url)
# features_lists = vocabulary.get_feature_list(url)
# files = [(w[-17:], d[-16:]) for w, d in zip(imlists, features_lists)]
# print files