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1096 Commits

Author SHA1 Message Date
Glenn Jocher b005a17eff updates 2019-07-11 11:56:46 +02:00
Glenn Jocher 3373006d0e updates 2019-07-10 22:11:48 +02:00
Glenn Jocher 4f6ef59d92 updates 2019-07-10 20:47:05 +02:00
Glenn Jocher a9e42a16f1 updates 2019-07-10 19:48:29 +02:00
Glenn Jocher 88a2c71a9f updates 2019-07-10 17:34:19 +02:00
Glenn Jocher 682d0485d6 updates 2019-07-10 17:33:24 +02:00
Glenn Jocher 53dfdfb367 updates 2019-07-10 16:49:06 +02:00
Glenn Jocher f02ac89122 updates 2019-07-10 12:00:06 +02:00
Glenn Jocher 6bd2c22523 updates 2019-07-09 21:11:53 +02:00
Glenn Jocher d5fd37de26 updates 2019-07-09 20:56:58 +02:00
Glenn Jocher bf6d96330b updates 2019-07-09 18:40:29 +02:00
Glenn Jocher 7b8a134a0b updates 2019-07-09 18:16:35 +02:00
Glenn Jocher 5b0ba6d7b2 updates 2019-07-09 18:16:15 +02:00
Glenn Jocher 9c227dd2b4 updates 2019-07-09 14:18:19 +02:00
Glenn Jocher bb1e551150 updates 2019-07-08 19:26:46 +02:00
Glenn Jocher 0bd763f528 updates 2019-07-08 18:32:31 +02:00
Glenn Jocher feeaf734f2 updates 2019-07-08 18:04:44 +02:00
Glenn Jocher da9ec7d12f updates 2019-07-08 18:00:19 +02:00
Glenn Jocher 59b1a1e89b updates 2019-07-08 15:52:13 +02:00
Glenn Jocher 60bc2c1fbd updates 2019-07-08 15:43:46 +02:00
Glenn Jocher a8c73f1c50 updates 2019-07-08 15:28:29 +02:00
Glenn Jocher 94669fb704 updates 2019-07-08 15:24:20 +02:00
Glenn Jocher 291c3ec9c7 updates 2019-07-08 15:02:20 +02:00
Glenn Jocher 68b50f5cb6 updates 2019-07-08 12:43:15 +02:00
glenn-jocher 7a2d356297 GIoU to default 2019-07-07 23:53:56 +02:00
glenn-jocher af3c5d0e35 GIoU to default 2019-07-07 23:42:24 +02:00
glenn-jocher 2b863c3bf2 Merge remote-tracking branch 'origin/master' 2019-07-07 23:24:43 +02:00
glenn-jocher 70f6379601 GIoU to default 2019-07-07 23:24:34 +02:00
Glenn Jocher b0aadff56f
Update requirements.txt 2019-07-05 12:34:17 +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 7246dd855c updates 2019-07-04 22:50:03 +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 5d5a7e0273 Merge remote-tracking branch 'origin/master' 2019-07-04 20:45:02 +02:00
glenn-jocher 1283a1e7e5 updates 2019-07-04 20:43:20 +02:00
Glenn Jocher a5592093ef Merge remote-tracking branch 'origin/master' 2019-07-04 14:03:21 +02:00
Glenn Jocher 7a353a9c70 updates 2019-07-04 14:03:13 +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 1d0a4a3ace updates 2019-07-03 14:42:11 +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