Skip to content
Projects
Groups
Snippets
Help
Loading...
Sign in
Toggle navigation
S
strategy_embedding
Project
Project
Details
Activity
Cycle Analytics
Repository
Repository
Files
Commits
Branches
Tags
Contributors
Graph
Compare
Charts
Issues
0
Issues
0
List
Board
Labels
Milestones
Merge Requests
0
Merge Requests
0
CI / CD
CI / CD
Pipelines
Jobs
Schedules
Charts
Wiki
Wiki
Snippets
Snippets
Members
Members
Collapse sidebar
Close sidebar
Activity
Graph
Charts
Create a new issue
Jobs
Commits
Issue Boards
Open sidebar
rank
strategy_embedding
Commits
08f2d679
Commit
08f2d679
authored
Sep 14, 2020
by
赵威
Browse files
Options
Browse Files
Download
Email Patches
Plain Diff
get result
parent
7baf847a
Show whitespace changes
Inline
Side-by-side
Showing
1 changed file
with
51 additions
and
40 deletions
+51
-40
diary_cover_similarity.py
src/diary_cover_similarity.py
+51
-40
No files found.
src/diary_cover_similarity.py
View file @
08f2d679
...
...
@@ -129,7 +129,7 @@ def get_similar_diary_ids_by_face_features(feature, index, face_to_vec_f, limit=
if
score
>=
limit
:
res
.
append
((
id
,
score
))
res
.
sort
(
key
=
lambda
x
:
x
[
1
],
reverse
=
True
)
print
(
res
)
return
res
def
main
():
...
...
@@ -152,45 +152,56 @@ def main():
faiss_index
=
faiss
.
read_index
(
faiss_index_path
)
imgs
=
[
"https://pic.igengmei.com/2020/07/03/1437/1b9975bb0b81-w"
,
"https://pic.igengmei.com/2020/07/01/1812/ca64827a83da-w"
,
"https://pic.igengmei.com/2020/07/04/1711/24f4131a9b1e-w"
,
"https://pic.igengmei.com/2020/07/04/1507/e17a995be219-w"
]
for
img_url
in
imgs
:
res
=
get_similar_diary_ids_by_url
(
img_url
,
faiss_index
,
face_to_vec_f
,
limit
=
0.18232107
)
print
(
res
)
print
(
"@@@@@@@@"
)
a
=
[
-
0.08361373096704483
,
0.06760436296463013
,
0.10752949863672256
,
-
0.020746365189552307
,
-
0.07035162299871445
,
-
0.014547230675816536
,
-
0.043201886117458344
,
-
0.12196271121501923
,
0.13929598033428192
,
-
0.1360183209180832
,
0.23247791826725006
,
-
0.08867999166250229
,
-
0.24177594482898712
,
-
0.05600903555750847
,
-
0.05371646583080292
,
0.22015368938446045
,
-
0.12883149087429047
,
-
0.0822330191731453
,
-
0.0413128100335598
,
0.08704500645399094
,
0.10081718862056732
,
-
0.03764188289642334
,
0.036720920354127884
,
0.04766431450843811
,
-
0.0685625970363617
,
-
0.38336044549942017
,
-
0.10978807508945465
,
-
0.07328074425458908
,
-
0.023904308676719666
,
-
0.007438751868903637
,
-
0.09545779973268509
,
0.027364756911993027
,
-
0.1537190079689026
,
-
0.04008519649505615
,
-
0.03581209108233452
,
0.04322449117898941
,
-
0.05686069279909134
,
-
0.11610691249370575
,
0.1640746295452118
,
-
0.004643512889742851
,
-
0.34821364283561707
,
0.03711444139480591
,
-
0.0026186704635620117
,
0.1917344480752945
,
0.14298999309539795
,
0.04084448516368866
,
0.06119539216160774
,
-
0.12611950933933258
,
0.10941470414400101
,
-
0.20786598324775696
,
0.03435457497835159
,
0.11412393301725388
,
0.0602775476872921
,
0.054409340023994446
,
-
0.002967053558677435
,
-
0.12524624168872833
,
0.026284342631697655
,
0.08236880600452423
,
-
0.10654348134994507
,
0.00403654295951128
,
0.10716681182384491
,
-
0.08270247280597687
,
0.018992319703102112
,
-
0.11595900356769562
,
0.18344789743423462
,
0.0895184576511383
,
-
0.1307670772075653
,
-
0.15750591456890106
,
0.11103398352861404
,
-
0.13521818816661835
,
-
0.03199139982461929
,
0.11129119992256165
,
-
0.17407448589801788
,
-
0.20658859610557556
,
-
0.3114454746246338
,
0.01914297416806221
,
0.39955294132232666
,
0.12365783005952835
,
-
0.14545315504074097
,
-
0.03254598751664162
,
-
0.10342024266719818
,
0.03375910595059395
,
0.11272192746400833
,
0.21788232028484344
,
0.08588762581348419
,
0.012640122324228287
,
-
0.07646650820970535
,
-
0.043292030692100525
,
0.21306097507476807
,
-
0.12407292425632477
,
-
0.025112995877861977
,
0.2634827196598053
,
0.005047444254159927
,
0.06562616676092148
,
-
0.07397496700286865
,
0.06206338107585907
,
-
0.0634055882692337
,
0.05882266163825989
,
-
0.05909111723303795
,
0.027562778443098068
,
0.043835900723934174
,
0.00407575536519289
,
-
0.007656056433916092
,
0.1048622876405716
,
-
0.17822585999965668
,
0.1303984671831131
,
-
0.021631652489304543
,
0.0836174339056015
,
0.11956407874822617
,
0.007379574701189995
,
-
0.07777556777000427
,
-
0.08474794030189514
,
0.09585978090763092
,
-
0.21120299398899078
,
0.1435444951057434
,
0.19884724915027618
,
0.07154559344053268
,
0.06259742379188538
,
0.10118959099054337
,
0.10188969224691391
,
-
0.015351934358477592
,
-
0.04335442930459976
,
-
0.26258283853530884
,
-
0.021509556099772453
,
0.12185295671224594
,
-
0.011788002215325832
,
0.01337978895753622
,
-
0.008025042712688446
]
res
=
get_similar_diary_ids_by_face_features
(
a
,
faiss_index
,
face_to_vec_f
)
print
(
res
)
# imgs = [
# "https://pic.igengmei.com/2020/07/03/1437/1b9975bb0b81-w", "https://pic.igengmei.com/2020/07/01/1812/ca64827a83da-w",
# "https://pic.igengmei.com/2020/07/04/1711/24f4131a9b1e-w", "https://pic.igengmei.com/2020/07/04/1507/e17a995be219-w"
# ]
# for img_url in imgs:
# res = get_similar_diary_ids_by_url(img_url, faiss_index, face_to_vec_f, limit=0.18232107)
# print(res)
# print("@@@@@@@@")
# a = [
# -0.08361373096704483, 0.06760436296463013, 0.10752949863672256, -0.020746365189552307, -0.07035162299871445,
# -0.014547230675816536, -0.043201886117458344, -0.12196271121501923, 0.13929598033428192, -0.1360183209180832,
# 0.23247791826725006, -0.08867999166250229, -0.24177594482898712, -0.05600903555750847, -0.05371646583080292,
# 0.22015368938446045, -0.12883149087429047, -0.0822330191731453, -0.0413128100335598, 0.08704500645399094,
# 0.10081718862056732, -0.03764188289642334, 0.036720920354127884, 0.04766431450843811, -0.0685625970363617,
# -0.38336044549942017, -0.10978807508945465, -0.07328074425458908, -0.023904308676719666, -0.007438751868903637,
# -0.09545779973268509, 0.027364756911993027, -0.1537190079689026, -0.04008519649505615, -0.03581209108233452,
# 0.04322449117898941, -0.05686069279909134, -0.11610691249370575, 0.1640746295452118, -0.004643512889742851,
# -0.34821364283561707, 0.03711444139480591, -0.0026186704635620117, 0.1917344480752945, 0.14298999309539795,
# 0.04084448516368866, 0.06119539216160774, -0.12611950933933258, 0.10941470414400101, -0.20786598324775696,
# 0.03435457497835159, 0.11412393301725388, 0.0602775476872921, 0.054409340023994446, -0.002967053558677435,
# -0.12524624168872833, 0.026284342631697655, 0.08236880600452423, -0.10654348134994507, 0.00403654295951128,
# 0.10716681182384491, -0.08270247280597687, 0.018992319703102112, -0.11595900356769562, 0.18344789743423462,
# 0.0895184576511383, -0.1307670772075653, -0.15750591456890106, 0.11103398352861404, -0.13521818816661835,
# -0.03199139982461929, 0.11129119992256165, -0.17407448589801788, -0.20658859610557556, -0.3114454746246338,
# 0.01914297416806221, 0.39955294132232666, 0.12365783005952835, -0.14545315504074097, -0.03254598751664162,
# -0.10342024266719818, 0.03375910595059395, 0.11272192746400833, 0.21788232028484344, 0.08588762581348419,
# 0.012640122324228287, -0.07646650820970535, -0.043292030692100525, 0.21306097507476807, -0.12407292425632477,
# -0.025112995877861977, 0.2634827196598053, 0.005047444254159927, 0.06562616676092148, -0.07397496700286865,
# 0.06206338107585907, -0.0634055882692337, 0.05882266163825989, -0.05909111723303795, 0.027562778443098068,
# 0.043835900723934174, 0.00407575536519289, -0.007656056433916092, 0.1048622876405716, -0.17822585999965668,
# 0.1303984671831131, -0.021631652489304543, 0.0836174339056015, 0.11956407874822617, 0.007379574701189995,
# -0.07777556777000427, -0.08474794030189514, 0.09585978090763092, -0.21120299398899078, 0.1435444951057434,
# 0.19884724915027618, 0.07154559344053268, 0.06259742379188538, 0.10118959099054337, 0.10188969224691391,
# -0.015351934358477592, -0.04335442930459976, -0.26258283853530884, -0.021509556099772453, 0.12185295671224594,
# -0.011788002215325832, 0.01337978895753622, -0.008025042712688446
# ]
# res = get_similar_diary_ids_by_face_features(a, faiss_index, face_to_vec_f)
# print(res)
with
open
(
diary_after_cover_vec_file
)
as
f
:
lines
=
f
.
readlines
()
print
(
"lines: "
+
str
(
len
(
lines
)))
count
=
0
for
line
in
lines
:
count
+=
1
tmp
=
line
.
split
(
"
\t
"
)
id
=
tmp
[
0
]
feature
=
np
.
array
(
json
.
loads
(
tmp
[
1
]))
print
(
"{} {} {}"
.
format
(
count
,
id
,
feature
))
if
__name__
==
"__main__"
:
...
...
Write
Preview
Markdown
is supported
0%
Try again
or
attach a new file
Attach a file
Cancel
You are about to add
0
people
to the discussion. Proceed with caution.
Finish editing this message first!
Cancel
Please
register
or
sign in
to comment