Glenn Jocher
3fc676b28a
updates
2019-07-14 11:29:07 +02:00
Glenn Jocher
831b6e39b6
updates
2019-07-12 17:02:04 +02:00
Glenn Jocher
03c6fe1ffe
updates
2019-07-12 16:10:37 +02:00
Glenn Jocher
0aa9759a90
updates
2019-07-12 15:44:39 +02:00
Glenn Jocher
bb38391342
updates
2019-07-12 14:28:46 +02:00
Glenn Jocher
bd9789aa00
equal layer weights
2019-07-12 12:23:17 +02:00
Glenn Jocher
5886200401
updates
2019-07-12 01:19:32 +02:00
Glenn Jocher
a2909c59f8
updates
2019-07-11 11:57:10 +02:00
Glenn Jocher
b005a17eff
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2019-07-11 11:56:46 +02:00
Glenn Jocher
3373006d0e
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2019-07-10 22:11:48 +02:00
Glenn Jocher
4f6ef59d92
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2019-07-10 20:47:05 +02:00
Glenn Jocher
a9e42a16f1
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2019-07-10 19:48:29 +02:00
Glenn Jocher
bb1e551150
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2019-07-08 19:26:46 +02:00
Glenn Jocher
0bd763f528
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2019-07-08 18:32:31 +02:00
Glenn Jocher
feeaf734f2
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2019-07-08 18:04:44 +02:00
Glenn Jocher
da9ec7d12f
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2019-07-08 18:00:19 +02:00
Glenn Jocher
60bc2c1fbd
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2019-07-08 15:43:46 +02:00
Glenn Jocher
94669fb704
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2019-07-08 15:24:20 +02:00
Glenn Jocher
291c3ec9c7
updates
2019-07-08 15:02:20 +02:00
glenn-jocher
70f6379601
GIoU to default
2019-07-07 23:24:34 +02:00
glenn-jocher
32a52dfb02
GIoU to default
2019-07-05 12:33:37 +02:00
glenn-jocher
429bd3b8a9
GIoU to default
2019-07-05 11:41:43 +02:00
glenn-jocher
b649a95c9a
GIoU to default
2019-07-05 00:36:37 +02:00
glenn-jocher
abf59f1565
updates
2019-07-04 22:10:46 +02:00
glenn-jocher
d0eace6cec
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2019-07-04 21:34:33 +02:00
glenn-jocher
109991198c
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2019-07-03 16:18:08 +02:00
glenn-jocher
1e62ee2152
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2019-07-03 16:17:46 +02:00
glenn-jocher
ab141fcc1f
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2019-07-03 15:37:04 +02:00
glenn-jocher
a8cf64af31
updates
2019-07-02 18:21:28 +02:00
Yonghye Kwon
ccf757b3ea
changed the criteria for the best weight file ( #356 )
...
* changed the criteria for the best weight file
changed the criteria for the best weight file from loss to mAP
I trained the model on my custom dataset. But I failed to get a good results when I load the weight file that has the lowest loss on test dataset.
I thought that the loss used in YOLO is not proper criteria for detection performance. So I changed the criteria from loss to mAP.
what do you think of this?
* Update train.py
2019-07-02 12:24:18 +02:00
glenn-jocher
1fd871abd8
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2019-07-01 17:44:42 +02:00
glenn-jocher
f43ee6ef94
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2019-07-01 17:17:29 +02:00
glenn-jocher
cf51cf9c99
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2019-07-01 17:14:42 +02:00
glenn-jocher
05358accbb
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2019-07-01 15:23:30 +02:00
glenn-jocher
c4409aa2ed
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2019-07-01 15:22:22 +02:00
glenn-jocher
b0d62e5204
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2019-07-01 15:21:06 +02:00
glenn-jocher
5e2b802f68
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2019-07-01 14:48:44 +02:00
glenn-jocher
63036deeb7
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2019-07-01 00:41:13 +02:00
glenn-jocher
32f5ea955b
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2019-06-30 17:47:10 +02:00
glenn-jocher
db2674aa31
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2019-06-30 17:34:29 +02:00
glenn-jocher
388b66dcd0
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2019-06-30 15:24:34 +02:00
Glenn Jocher
45540c787f
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2019-06-25 19:36:11 +02:00
Glenn Jocher
1d76751e1f
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2019-06-25 12:37:24 +02:00
Glenn Jocher
e4cc830690
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2019-06-25 12:21:27 +02:00
Glenn Jocher
9a56d97059
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2019-06-25 11:54:19 +02:00
Glenn Jocher
6b222df35d
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2019-06-24 15:56:20 +02:00
Glenn Jocher
d208f006a1
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2019-06-24 14:46:00 +02:00
Glenn Jocher
0005823d1f
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2019-06-24 13:43:17 +02:00
Glenn Jocher
57b616b8b1
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2019-06-23 22:01:11 +02:00
Glenn Jocher
ef3e1343e2
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2019-06-22 15:52:27 +02:00
Glenn Jocher
f501a0fc9d
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2019-06-22 15:50:04 +02:00
Glenn Jocher
4f7fee45ff
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2019-06-21 21:27:50 +02:00
Glenn Jocher
5f6c2b3d12
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2019-06-21 13:19:23 +02:00
Glenn Jocher
1a9aa30efc
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2019-06-21 11:57:26 +02:00
Glenn Jocher
3223c0171a
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2019-06-21 10:58:12 +02:00
Glenn Jocher
a7e21b4315
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2019-06-21 10:24:06 +02:00
Glenn Jocher
7d7d7a6332
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2019-06-21 10:17:29 +02:00
Glenn Jocher
c3526e0eff
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2019-06-18 17:35:47 +02:00
Glenn Jocher
1096596ad8
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2019-06-18 16:36:04 +02:00
Glenn Jocher
84c1fecd81
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2019-06-18 16:33:18 +02:00
Glenn Jocher
4fb2567aa5
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2019-06-18 16:32:37 +02:00
Glenn Jocher
6efb2c935f
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2019-06-18 16:32:19 +02:00
Glenn Jocher
f573250ae8
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2019-06-16 23:17:40 +02:00
Glenn Jocher
b59532883a
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2019-06-15 17:06:58 +02:00
Glenn Jocher
995dc3ca67
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2019-06-15 02:44:01 +02:00
Glenn Jocher
02291622fa
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2019-06-15 02:10:15 +02:00
Glenn Jocher
bb3682024e
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2019-06-15 01:35:55 +02:00
Glenn Jocher
8f609246db
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2019-06-13 18:13:30 +02:00
Glenn Jocher
1e8df4db23
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2019-06-12 18:21:42 +02:00
Glenn Jocher
64134706d1
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2019-06-12 15:14:13 +02:00
Glenn Jocher
b33a0b6cf2
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2019-06-12 15:12:08 +02:00
Glenn Jocher
c5cb3c8a9e
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2019-06-12 14:35:10 +02:00
Glenn Jocher
bca423ee43
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2019-06-12 14:15:28 +02:00
Glenn Jocher
e42865a304
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2019-06-12 13:25:39 +02:00
Glenn Jocher
ef1703f2b8
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2019-06-12 13:19:17 +02:00
Glenn Jocher
b5630f145f
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2019-06-12 13:10:31 +02:00
Glenn Jocher
8df215a8cc
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2019-06-12 13:04:58 +02:00
Glenn Jocher
64933f7ce0
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2019-06-12 11:55:20 +02:00
Glenn Jocher
5edb0ec40d
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Glenn Jocher
9c328b1b0e
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2019-06-12 11:41:44 +02:00
Glenn Jocher
fe9cba308d
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2019-06-12 11:41:00 +02:00
Glenn Jocher
dd7ca339f5
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2019-06-12 11:40:17 +02:00
Glenn Jocher
b0b6554eee
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2019-06-12 11:37:25 +02:00
Glenn Jocher
d5e2daf79d
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2019-06-12 11:36:32 +02:00
Glenn Jocher
051b251d41
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2019-06-12 11:35:53 +02:00
Glenn Jocher
01e11aee04
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Glenn Jocher
37a07a44a1
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2019-06-12 11:29:36 +02:00
Glenn Jocher
a2d392b5c3
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2019-06-12 11:25:56 +02:00
Glenn Jocher
7807337c5f
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2019-05-31 14:30:27 +02:00
Glenn Jocher
a2c9cb9d2c
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2019-05-31 01:33:17 +02:00
Glenn Jocher
ea11af6132
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2019-05-30 20:21:25 +02:00
Glenn Jocher
70ba7f0805
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2019-05-30 19:08:43 +02:00
Glenn Jocher
504d3b3f71
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Glenn Jocher
001193b9c7
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2019-05-23 13:15:44 +02:00
Glenn Jocher
68b9df4dd4
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2019-05-23 12:36:13 +02:00
Glenn Jocher
3006c33c29
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2019-05-23 12:32:11 +02:00
Glenn Jocher
e67cee4a0c
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2019-05-23 12:27:46 +02:00
Glenn Jocher
463dc56f31
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2019-05-21 17:39:04 +02:00
Glenn Jocher
19c7697434
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2019-05-21 17:37:34 +02:00
Glenn Jocher
d09db54cb0
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2019-05-21 16:03:29 +02:00