def index(self, query=None):
self.src = imagesearch.Searcher('testImaAdd.db', self.voc)
html = self.header
html += """
<br />
Click an image to search. <a href='?query='> Random selection </a> of images.
<br /><br />
"""
if query:
# query the database and get top images
#查询数据库，并获取前面的图像
res = self.src.query(query)[:self.maxres]
for dist, ndx in res:
imname = self.src.get_filename(ndx)
html += "<a href='?query="+imname+"'>"
html += "<img src='"+imname+"' alt='"+imname+"' width='100' height='100'/>"
print (imname+"################")
html += "</a>"
# show random selection if no query
# 如果没有查询图像则随机显示一些图像
else:
random.shuffle(self.ndx)
for i in self.ndx[:self.maxres]:
imname = self.imlist[i]
html += "<a href='?query="+imname+"'>"
html += "<img src='"+imname+"' alt='"+imname+"' width='100' height='100'/>"
print (imname+"################")
html += "</a>"
html += self.footer
return html
def index(self, query=None):
self.src = imagesearch.Searcher('web.db', self.voc)
html = self.header
html += """
<br />
Click an image to search. <a href='?query='> Random selection </a> of images.
<br /><br />
"""
if query:
# query the database and get top images
res = self.src.query(query)[:self.maxres]
for dist, ndx in res:
imname = self.src.get_filename(ndx)
html += "<a href='?query=" + imname + "'>"
html += "<img src='" + imname + "' width='100' />"
html += "</a>"
else:
# show random selection if no query
random.shuffle(self.ndx)
for i in self.ndx[:self.maxres]:
imname = self.imlist[i]
html += "<a href='?query=" + imname + "'>"
html += "<img src='" + imname + "' width='100' />"
html += "</a>"
html += self.footer
return html
def get(voc, imname):
# 显示搜索返回的图像数
maxres = 25
# 载入词汇
src = imagesearch.Searcher('testImaAdd.db', voc)
# 查询数据库，并获取前面的图像
res = src.query(imname)[:maxres]
list = []
for dist, ndx in res:
list.append(src.get_filename(ndx))
return list
import pickle
from PCV.imagesearch import imagesearch
from PCV.localdescriptors import sift
from sqlite3 import dbapi2 as sqlite
from PCV.tools.imtools import get_imlist
# 获取图像列表
imlist = get_imlist('./first500/')
nbr_images = len(imlist)
# 获取特征列表
featlist = [imlist[i][:-3] + 'sift' for i in range(nbr_images)]
# 载入词汇
f = open('./first500/vocabulary.pkl', 'rb')
voc = pickle.load(f)
f.close()
src = imagesearch.Searcher('testImaAdd.db', voc)
locs, descr = sift.read_features_from_file(featlist[0])
iw = voc.project(descr)
print('ask using a histogram...')
print(src.candidates_from_histogram(iw)[:10])
src = imagesearch.Searcher('testImaAdd.db', voc)
print('try a query...')
nbr_results = 12
res = [w[1] for w in src.query(imlist[0])[:nbr_results]]
imagesearch.plot_results(src, res)
import pickle
from PCV.imagesearch import imagesearch
from PCV.localdescriptors import sift
from sqlite3 import dbapi2 as sqlite
from PCV.tools.imtools import get_imlist
imlist = get_imlist('./first500/')
nbr_images = len(imlist)
featlist = [imlist[i][:-3] + 'sift' for i in range(nbr_images)]
f = open('./first500/vocabulary.pkl', 'rb')
voc = pickle.load(f)
f.close()
src = imagesearch.Searcher('web.db', voc)
locs, descr = sift.read_features_from_file(featlist[0])
iw = voc.project(descr)
print 'ask using a histogram...'
print src.candidates_from_histogram(iw)[:10]
src = imagesearch.Searcher('web.db', voc)
print 'try a query...'
nbr_results = 12
res = [w[1] for w in src.query(imlist[39])[:nbr_results]]
imagesearch.plot_results(src, res)