14 Commits (78f2166596da6b7fbcdc9f7f659b72350ba954e7)

Author	SHA1	Message	Date
liaoxingyu	d00ce8fc3c	refactor model arch	2020-09-01 16:14:45 +08:00
liaoxingyu	ac8409a7da	updating for pytorch1.6	2020-08-20 15:51:41 +08:00
liaoxingyu	3f35eb449d	minor update	2020-07-14 11:58:06 +08:00
liaoxingyu	e81b13798c	change way of loss function ... Summary: move loss computation from meta_arch to run_step considering distillation loss	2020-07-10 16:28:53 +08:00
liaoxingyu	fec7abc461	finish v0.2 ddp training	2020-07-06 16:57:43 +08:00
liaoxingyu	84c733fa85	fix: remove prefetcher, put normalizer in model ... 1. remove messy data prefetcher which will cause confusion 2. put normliazer in model to accelerate training via GPU computing	2020-05-25 23:39:11 +08:00
liaoxingyu	6a8961ce48	1. upload circle loss and arcface ... 2. finish freeze training 3. update augmix data augmentation	2020-04-05 23:54:26 +08:00
liaoxingyu	23bedfce12	update version0.2 code	2020-03-25 10:58:26 +08:00
L1aoXingyu	12957f66aa	Change architecture: ... 1. delete redundant preprocess 2. add data prefetcher to accelerate data loading 3. fix minor bug of triplet sampler when only one image for one id	2020-02-18 21:01:23 +08:00
L1aoXingyu	a2f69d0537	Update StrongBaseline results for market1501 and dukemtmc	2020-02-11 22:38:40 +08:00
L1aoXingyu	8a9c0ccfad	Finish first version for fastreid	2020-02-10 22:13:04 +08:00
L1aoXingyu	db6ed12b14	Update sampler code	2020-02-10 07:38:56 +08:00
liaoxingyu	71950d2c09	1. Fix evaluation code ... 2. Finish multi-dataset evaluation 3. Decouple image preprocess and output postprocess with model forward for DataParallel training 4. Finish build backbone registry 5. Fix dataset sampler	2020-01-21 20:24:26 +08:00
liaoxingyu	b761b656f3	Finish basic training loop and evaluation results	2020-01-20 21:33:37 +08:00