def get_we_parameter(vocab, w2v_file):
w2v_reader = BigFile(w2v_file)
ndims = w2v_reader.ndims
we = []
# we.append([0]*ndims)
for i in range(len(vocab)):
try:
vec = w2v_reader.read_one(vocab.idx2word[i])
except:
vec = np.random.uniform(-1, 1, ndims)
we.append(vec)
print('getting pre-trained parameter for word embedding initialization', np.shape(we))
return np.array(we)
def process(options, collection, featname_1, featname_2, sub_collections):
rootpath = options.rootpath
target_feat_dir = os.path.join(rootpath, collection, 'FeatureData', featname_1+"_"+featname_2)
if os.path.exists(target_feat_dir):
if options.overwrite:
logger.info('%s exists! overwrite.', target_feat_dir)
else:
logger.info('%s exists! quit.', target_feat_dir)
sys.exit(0)
else:
os.makedirs(target_feat_dir)
target_feat_file = os.path.join(target_feat_dir, 'id.feature.txt')
sub_collections = sub_collections.split('@')
with open(target_feat_file, 'w') as fw_feat:
for collect in sub_collections:
feat_dir_1 = os.path.join(rootpath, collect, 'FeatureData', featname_1)
feat_dir_2 = os.path.join(rootpath, collect, 'FeatureData', featname_2)
featfile_1 = BigFile(feat_dir_1)
featfile_2 = BigFile(feat_dir_2)
print(">>> Process %s" % collect)
progbar = Progbar(len(featfile_1.names))
for name in featfile_1.names:
feat_1 = featfile_1.read_one(name)
feat_2 = featfile_2.read_one(name)
fw_feat.write('%s %s\n' % (name, ' '.join(['%g'%x for x in feat_1+feat_2])))
progbar.add(1)
# transform txt to bin format
txt2bin(len(feat_1)+len(feat_2), target_feat_file, target_feat_dir, options.overwrite)
ln_target_feat_dir = os.path.join(rootpath, collection, 'FeatureData', 'resnext101-resnet152')
os.system('ln -s %s %s' % (target_feat_dir, ln_target_feat_dir))
def process(options, collection, featname, sub_collections, set_style):
rootpath = options.rootpath
target_feat_dir = os.path.join(rootpath, collection, 'FeatureData',
featname)
target_img_file = os.path.join(rootpath, collection, set_style,
collection + '.txt')
if os.path.exists(target_feat_dir):
if options.overwrite:
logger.info('%s exists! overwrite.', target_feat_dir)
else:
logger.info('%s exists! quit.', target_feat_dir)
sys.exit(0)
else:
os.makedirs(target_feat_dir)
target_feat_file = os.path.join(target_feat_dir, 'id.feature.txt')
target_id_file = os.path.join(target_feat_dir, 'id.txt')
sub_collections = sub_collections.split('@')
img_ids = []
with open(target_feat_file, 'w') as fw_feat, open(target_id_file,
'w') as fw_id:
for collect in sub_collections:
feat_dir = os.path.join(rootpath, collect, 'FeatureData', featname)
featfile = BigFile(feat_dir)
print(">>> Process %s" % collect)
progbar = Progbar(len(featfile.names))
for name in featfile.names:
feat = featfile.read_one(name)
fw_feat.write('%s %s\n' %
(name, ' '.join(['%g' % x for x in feat])))
progbar.add(1)
img_ids.extend(featfile.names)
fw_id.write(' '.join(img_ids))
if os.path.exists(target_img_file):
logger.info('%s exists! quit.', target_img_file)
return 0
else:
if not os.path.exists(os.path.dirname(target_img_file)):
os.makedirs(os.path.dirname(target_img_file))
with open(target_img_file, 'w') as fw_img:
fw_img.write('\n'.join(img_ids) + '\n')
