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strategy_embedding
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strategy_embedding
Commits
f3af225a
Commit
f3af225a
authored
Sep 14, 2020
by
赵威
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2280a7c3
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diary_cover_similarity.py
src/diary_cover_similarity.py
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src/diary_cover_similarity.py
View file @
f3af225a
...
...
@@ -129,7 +129,7 @@ def get_similar_diary_ids_by_face_features(feature, index, face_to_vec_f, limit=
res
=
[]
for
(
id
,
score
)
in
tmp
:
if
score
>=
limit
:
res
.
append
((
id
,
score
))
res
.
append
((
str
(
id
),
float
(
score
)
))
res
.
sort
(
key
=
lambda
x
:
x
[
1
],
reverse
=
True
)
return
res
...
...
@@ -143,19 +143,19 @@ def save_diary_similarity(load_file, index_path, face_to_vec_f):
for
line
in
lines
:
count
+=
1
tmp
=
line
.
split
(
"
\t
"
)
id
=
str
(
tmp
[
0
])
id
=
tmp
[
0
]
feature
=
np
.
array
(
json
.
loads
(
tmp
[
1
]))
print
(
"{} {}"
.
format
(
count
,
id
))
tup_res
=
get_similar_diary_ids_by_face_features
(
feature
,
index_path
,
face_to_vec_f
)
if
tup_res
:
res_dict
[
id
]
=
json
.
dumps
(
tup_res
)
res_dict
[
id
]
=
tup_res
print
(
"done: "
+
str
(
len
(
res_dict
)))
key
=
random
.
choice
(
list
(
res_dict
.
keys
()))
print
(
res_dict
[
key
])
redis_key
=
"doris:diary:face_similary"
redis_client3
.
hmset
(
redis_key
,
res_dict
)
#
redis_key = "doris:diary:face_similary"
#
redis_client3.hmset(redis_key, res_dict)
def
main
():
...
...
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