def __init__(self, nnimage_file, imgClick_file, qrysim='O', n_top_img = 50, n_top_query = 30):
# load nn info with distances of images
self.img2nnimgdis = readNnData(nnimage_file, n_top_img) # format: img_id img_id dis ...
print ("[%s] %d images and these top %d nearest neighbours with distance loaded from %s" %
(self.__class__.__name__, len(self.img2nnimgdis) , n_top_img, nnimage_file))
# load query info with click of images
self.img2query_clc = readImageClickture(imgClick_file, n_top_query) # format: img_id /t query /t click ...
print ("[%s] %d images and these %d queris with click loaded from %s" %
(self.__class__.__name__, len(self.img2query_clc) , n_top_query, imgClick_file))
self.qrySimer = getQuerySimer(qrysim)
def __init__(self, nnquery_file, qryClick_file, dev_feat_path, train_feat_path, top_n=50):
# load nn info with score of query
self.qid2nnqidscore = readNnData(nnquery_file, top_n) # format: query_id query_id score ...
print ("[%s] %d queris and these top %d nearest neighbours with score loaded from %s" %
(self.__class__.__name__, len(self.qid2nnqidscore) , top_n, nnquery_file))
self.qry2img_clk = readQueryClickture(qryClick_file) # format: query_id \t image_id click ...
print ("[%s] %d queris and these click info loaded from %s" %
(self.__class__.__name__, len(self.qry2img_clk) , qryClick_file))
self.imgSimer = ImageSimer( dev_feat_path, train_feat_path )
def __init__(self, nnquery_file, qryClick_file, dev_feat_path, train_feat_path, top_n=50):
# load nn info with score of query
self.qid2nnqidscore = readNnData(nnquery_file, top_n) # format: query_id query_id score ...
print ("[%s] %d queris and these top %d nearest neighbours with score loaded from %s" %
(self.__class__.__name__, len(self.qid2nnqidscore) , top_n, nnquery_file))
self.qry2img_clk = readQueryClickture(qryClick_file) # format: query_id \t image_id click ...
print ("[%s] %d queris and these click info loaded from %s" %
(self.__class__.__name__, len(self.qry2img_clk) , qryClick_file))
self.imgSimer = ImageSimer( dev_feat_path, train_feat_path )
def __init__(self,
nnimage_file,
imgClick_file,
qrysim='O',
n_top_img=50,
n_top_query=30):
# load nn info with distances of images
self.img2nnimgdis = readNnData(
nnimage_file, n_top_img) # format: img_id img_id dis ...
print(
"[%s] %d images and these top %d nearest neighbours with distance loaded from %s"
% (self.__class__.__name__, len(
self.img2nnimgdis), n_top_img, nnimage_file))
# load query info with click of images
self.img2query_clc = readImageClickture(
imgClick_file, n_top_query) # format: img_id /t query /t click ...
print("[%s] %d images and these %d queris with click loaded from %s" %
(self.__class__.__name__, len(
self.img2query_clc), n_top_query, imgClick_file))
self.qrySimer = getQuerySimer(qrysim)
