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Author SHA1 Message Date
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 updates 2019-07-04 21:34:33 +02:00
glenn-jocher 109991198c updates 2019-07-03 16:18:08 +02:00
glenn-jocher 1e62ee2152 updates 2019-07-03 16:17:46 +02:00
glenn-jocher ab141fcc1f updates 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 updates 2019-07-01 17:44:42 +02:00
glenn-jocher f43ee6ef94 updates 2019-07-01 17:17:29 +02:00
glenn-jocher cf51cf9c99 updates 2019-07-01 17:14:42 +02:00
glenn-jocher 05358accbb updates 2019-07-01 15:23:30 +02:00
glenn-jocher c4409aa2ed updates 2019-07-01 15:22:22 +02:00
glenn-jocher b0d62e5204 updates 2019-07-01 15:21:06 +02:00
glenn-jocher 5e2b802f68 updates 2019-07-01 14:48:44 +02:00
glenn-jocher 63036deeb7 updates 2019-07-01 00:41:13 +02:00
glenn-jocher 32f5ea955b updates 2019-06-30 17:47:10 +02:00
glenn-jocher db2674aa31 updates 2019-06-30 17:34:29 +02:00
glenn-jocher 388b66dcd0 updates 2019-06-30 15:24:34 +02:00
Glenn Jocher 45540c787f updates 2019-06-25 19:36:11 +02:00
Glenn Jocher 1d76751e1f updates 2019-06-25 12:37:24 +02:00
Glenn Jocher e4cc830690 updates 2019-06-25 12:21:27 +02:00
Glenn Jocher 9a56d97059 updates 2019-06-25 11:54:19 +02:00
Glenn Jocher 6b222df35d updates 2019-06-24 15:56:20 +02:00
Glenn Jocher d208f006a1 updates 2019-06-24 14:46:00 +02:00
Glenn Jocher 0005823d1f updates 2019-06-24 13:43:17 +02:00
Glenn Jocher 57b616b8b1 updates 2019-06-23 22:01:11 +02:00
Glenn Jocher ef3e1343e2 updates 2019-06-22 15:52:27 +02:00
Glenn Jocher f501a0fc9d updates 2019-06-22 15:50:04 +02:00
Glenn Jocher 4f7fee45ff updates 2019-06-21 21:27:50 +02:00
Glenn Jocher 5f6c2b3d12 updates 2019-06-21 13:19:23 +02:00
Glenn Jocher 1a9aa30efc updates 2019-06-21 11:57:26 +02:00
Glenn Jocher 3223c0171a updates 2019-06-21 10:58:12 +02:00
Glenn Jocher a7e21b4315 updates 2019-06-21 10:24:06 +02:00
Glenn Jocher 7d7d7a6332 updates 2019-06-21 10:17:29 +02:00
Glenn Jocher c3526e0eff updates 2019-06-18 17:35:47 +02:00
Glenn Jocher 1096596ad8 updates 2019-06-18 16:36:04 +02:00
Glenn Jocher 84c1fecd81 updates 2019-06-18 16:33:18 +02:00
Glenn Jocher 4fb2567aa5 updates 2019-06-18 16:32:37 +02:00
Glenn Jocher 6efb2c935f updates 2019-06-18 16:32:19 +02:00
Glenn Jocher f573250ae8 updates 2019-06-16 23:17:40 +02:00
Glenn Jocher b59532883a updates 2019-06-15 17:06:58 +02:00
Glenn Jocher 995dc3ca67 updates 2019-06-15 02:44:01 +02:00
Glenn Jocher 02291622fa updates 2019-06-15 02:10:15 +02:00
Glenn Jocher bb3682024e updates 2019-06-15 01:35:55 +02:00
Glenn Jocher 8f609246db updates 2019-06-13 18:13:30 +02:00
Glenn Jocher 1e8df4db23 updates 2019-06-12 18:21:42 +02:00