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construct_CatName2vec.py
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construct_CatName2vec.py
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import root_path
import numpy as np
from tqdm import tqdm
from utils.categories_v2 import vidvrd_CatId2name,vidvrd_PredId2name,vidor_CatId2name,vidor_PredId2name,PKU_vidvrd_CatId2name
file_path = "/home/gkf/project/2D-TAN/.vector_cache/glove.6B.300d.txt" # 6B means 6 billions
with open(file_path,'r') as f:
glove6B_300d = f.readlines()
glove6B_300d = [line.strip().split(" ") for line in glove6B_300d]
print(len(glove6B_300d))
glove6B_300d_dict = {}
words_list = []
for word2vec in tqdm(glove6B_300d):
assert len(word2vec) == 301, "len(word2vec)={}".format(len(word2vec))
word = word2vec[0]
words_list.append(word)
vector = [float(x) for x in word2vec[1:]]
glove6B_300d_dict[word] = np.array(vector) # shape == (300,)
def get_wordvec(word):
global glove6B_300d_dict
words = word.split('_')
if len(words) == 1:
vector = glove6B_300d_dict[word]
elif len(words) ==2:
w1,w2 = words
vector = (glove6B_300d_dict[w1] + glove6B_300d_dict[w2])/2
elif len(words) ==3:
w1,w2,w3 = words
vector = (glove6B_300d_dict[w1] + glove6B_300d_dict[w2] + glove6B_300d_dict[w3])/3
else:
print(words)
assert False
return vector
def construct_vidvrd_entity():
num_enti = len(vidvrd_CatId2name)
num_pred = len(vidvrd_PredId2name)
assert num_enti == 36 and num_pred == 133
## entity name2vec:
enti_matrix = np.zeros(shape=(num_enti,300))
for idx,name in vidvrd_CatId2name.items():
if name == "__background__":
vector = np.zeros(shape=(300,))
enti_matrix[idx] = vector
continue
names = name.split('/')
if len(names) == 2:
n1,n2 = names
vector = (get_wordvec(n1) + get_wordvec(n2)) / 2
elif len(names) == 1:
vector = get_wordvec(name)
else:
assert False
enti_matrix[idx] = vector
np.save("tools/vidvrd_EntiNameEmb.npy",enti_matrix)
pred_matrix = np.zeros(shape=(num_pred,300))
for idx,name in vidvrd_PredId2name.items():
if name == "__background__":
vector = np.zeros(shape=(300,))
pred_matrix[idx] = vector
continue
names = name.split('/')
if len(names) == 2:
n1,n2 = names
vector = (get_wordvec(n1) + get_wordvec(n2)) / 2
elif len(names) == 1:
vector = get_wordvec(name)
else:
assert False
pred_matrix[idx] = vector
np.save("tools/vidvrd_PredNameEmb.npy",pred_matrix)
def construct_vidvrd_entity_pku():
num_enti = len(PKU_vidvrd_CatId2name)
num_pred = len(vidvrd_PredId2name)
assert num_enti == 36 and num_pred == 133
## entity name2vec:
enti_matrix = np.zeros(shape=(num_enti,300))
for idx,name in vidvrd_CatId2name.items():
if name == "__background__":
vector = np.zeros(shape=(300,))
enti_matrix[idx] = vector
continue
names = name.split('/')
if len(names) == 2:
n1,n2 = names
vector = (get_wordvec(n1) + get_wordvec(n2)) / 2
elif len(names) == 1:
vector = get_wordvec(name)
else:
assert False
enti_matrix[idx] = vector
np.save("tools/vidvrd_EntiNameEmb_pku.npy",enti_matrix)
def construct_vidor_NameEmb():
num_enti = len(vidor_CatId2name)
num_pred = len(vidor_PredId2name)
assert num_enti == 81 and num_pred == 51
## entity name2vec:
enti_matrix = np.zeros(shape=(num_enti,300))
for idx,name in vidor_CatId2name.items():
if name == "__background__":
vector = np.zeros(shape=(300,))
enti_matrix[idx] = vector
continue
names = name.split('/')
if len(names) == 2:
n1,n2 = names
vector = (get_wordvec(n1) + get_wordvec(n2)) / 2
elif len(names) == 1:
vector = get_wordvec(name)
else:
assert False
enti_matrix[idx] = vector
np.save("tools/vidor_EntiNameEmb.npy",enti_matrix)
## predicate name2vec
pred_matrix = np.zeros(shape=(num_pred,300))
for idx,name in vidor_PredId2name.items():
if name == "__background__":
vector = np.zeros(shape=(300,))
pred_matrix[idx] = vector
continue
if name == "play(instrument)":
name = "play_instrument"
vector = get_wordvec(name)
pred_matrix[idx] = vector
np.save("tools/vidor_PredNameEmb.npy",pred_matrix)
if __name__ == "__main__":
construct_vidvrd_entity_pku()