b6d9a742ec
updates
2019-10-05 15:28:02 +02:00
8610026e2c
updates
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f146692ad0
updates
2019-09-26 12:58:26 +02:00
2487b0694f
updates
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3072d72375
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33e025838f
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780fa17f6a
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4445715f4c
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2019-09-09 22:42:38 +02:00
94234c80b2
updates
...
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2019-09-04 14:58:18 +02:00
6cd98c46d8
updates
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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2019-09-04 09:20:03 +02:00
447292eb36
updates
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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2019-09-03 16:20:55 +02:00
2877ac9286
updates
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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2019-09-02 14:28:13 +02:00
ea61b46b31
updates
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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2019-09-02 14:02:08 +02:00
8f913ba82a
updates
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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2019-09-02 11:59:13 +02:00
360a32811c
weight_decay fix
2019-08-31 17:55:19 +02:00
8eb381dc88
updates
2019-08-29 15:49:51 +02:00
408baf66e2
weight_decay fix
2019-08-29 15:44:15 +02:00
7d9ffe6d4e
weight_decay fix
2019-08-29 14:29:07 +02:00
31d807e589
weight_decay fix
2019-08-29 14:20:54 +02:00
85a24dbc7e
weight_decay fix
2019-08-28 16:50:34 +02:00
c906047db3
updates
2019-08-27 12:57:19 +02:00
798a7396f1
weight_decay fix
2019-08-26 16:24:19 +02:00
ff82e4d488
weight_decay fix
2019-08-26 14:47:36 +02:00
bf8f0f3987
updates
2019-08-25 20:20:15 +02:00
6260ac266f
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991362df57
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a85f7d967c
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2019-08-24 23:58:08 +02:00
70be0d5d14
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2019-08-24 21:39:25 +02:00
1064c37600
removed xy/wh loss reporting
2019-08-24 21:35:56 +02:00
ca38c9050f
updates
2019-08-24 21:20:25 +02:00
790e25592f
removed xy/wh loss reporting
2019-08-24 20:55:01 +02:00
25a579e417
removed xy/wh loss reporting
2019-08-24 17:16:20 +02:00
195adaea7d
removed xy/wh loss reporting
2019-08-24 16:45:49 +02:00
39dcf0d561
removed xy/wh loss reporting
2019-08-24 16:43:43 +02:00
bbe22dd7b4
updates
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5ff6e6b3a5
tensorboard updates
2019-08-09 19:35:02 +02:00
f9755f8dac
tensorboard updates
2019-08-09 19:29:36 +02:00
298463e530
updates
2019-08-09 18:22:27 +02:00
933f85f632
tensorboard updates
2019-08-09 16:37:19 +02:00
fdd5afa229
updates
2019-08-08 22:37:54 +02:00
22f75469ac
Tensorboard support ( #435 )
2019-08-08 22:30:34 +02:00
a21b9891b9
updates
2019-08-08 21:16:09 +02:00
25bc5e5392
updates
2019-08-08 20:16:32 +02:00
c49fe688b7
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2019-08-08 19:49:15 +02:00
37c3e762e1
@ktian08 50.5 mAP evolved hyperparameters
2019-08-08 19:41:26 +02:00
f43170817c
updates
2019-08-07 16:45:13 +02:00
b53d6d6ecf
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2019-08-01 18:29:57 +02:00
f8de211f77
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2019-08-01 03:31:12 +02:00
7b3d9f02ec
prevent failure when no training_results available ( #409 )
...
Use `chkpt.get('training_results')` instead of `chkpt.get('training_results')` so if the dict doesn't contain this key it won't throw a `KeyError
2019-07-31 14:12:27 +02:00
97edba0b7a
Remove Unused Argument of parser : --var ( #408 )
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Remove Unused Argument of parser : --var
2019-07-31 14:05:43 +02:00
07ffc4e7f9
updates
2019-07-30 18:27:37 +02:00
9ef8d42f0e
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0aa9759a90
updates
2019-07-12 15:44:39 +02:00
bb38391342
updates
2019-07-12 14:28:46 +02:00
bd9789aa00
equal layer weights
2019-07-12 12:23:17 +02:00
5886200401
updates
2019-07-12 01:19:32 +02:00
a2909c59f8
updates
2019-07-11 11:57:10 +02:00
b005a17eff
updates
2019-07-11 11:56:46 +02:00
3373006d0e
updates
2019-07-10 22:11:48 +02:00
4f6ef59d92
updates
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a9e42a16f1
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bb1e551150
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2019-07-08 19:26:46 +02:00
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updates
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updates
2019-07-08 18:04:44 +02:00
da9ec7d12f
updates
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60bc2c1fbd
updates
2019-07-08 15:43:46 +02:00
94669fb704
updates
2019-07-08 15:24:20 +02:00
291c3ec9c7
updates
2019-07-08 15:02:20 +02:00
70f6379601
GIoU to default
2019-07-07 23:24:34 +02:00
32a52dfb02
GIoU to default
2019-07-05 12:33:37 +02:00
429bd3b8a9
GIoU to default
2019-07-05 11:41:43 +02:00
b649a95c9a
GIoU to default
2019-07-05 00:36:37 +02:00
abf59f1565
updates
2019-07-04 22:10:46 +02:00
d0eace6cec
updates
2019-07-04 21:34:33 +02:00
109991198c
updates
2019-07-03 16:18:08 +02:00
1e62ee2152
updates
2019-07-03 16:17:46 +02:00
ab141fcc1f
updates
2019-07-03 15:37:04 +02:00
a8cf64af31
updates
2019-07-02 18:21:28 +02:00
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
1fd871abd8
updates
2019-07-01 17:44:42 +02:00
f43ee6ef94
updates
2019-07-01 17:17:29 +02:00
cf51cf9c99
updates
2019-07-01 17:14:42 +02:00
05358accbb
updates
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updates
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updates
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63036deeb7
updates
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32f5ea955b
updates
2019-06-30 17:47:10 +02:00
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2019-06-30 17:34:29 +02:00
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45540c787f
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f501a0fc9d
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7d7d7a6332
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c3526e0eff
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2019-06-18 17:35:47 +02:00
1096596ad8
updates
2019-06-18 16:36:04 +02:00
84c1fecd81
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2019-06-18 16:33:18 +02:00
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updates
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6efb2c935f
updates
2019-06-18 16:32:19 +02:00
f573250ae8
updates
2019-06-16 23:17:40 +02:00
b59532883a
updates
2019-06-15 17:06:58 +02:00
995dc3ca67
updates
2019-06-15 02:44:01 +02:00
02291622fa
updates
2019-06-15 02:10:15 +02:00
bb3682024e
updates
2019-06-15 01:35:55 +02:00
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64134706d1
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c5cb3c8a9e
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bca423ee43
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2019-06-12 14:15:28 +02:00
e42865a304
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2019-06-12 13:25:39 +02:00
Glenn Jocher
Marc
idow09
Yonghye Kwon