13 Commits (e059b751a6c66f2924804c3db95e7940d6502e8c)

Author	SHA1	Message	Date
liaoxingyu	4be4cacb73	fix: add a simple way to reset data prefetcher when resume training ... use data prefetcher build-in reset function to reload it rather than redefining a new data prefetcher, otherwise it will introduce other problems in eval-only mode.	2020-05-09 11:58:27 +08:00
liaoxingyu	6d96529d4c	fix(data): fix resume training bug ... fix dataset pid dictionary loading bug when resume training, data prefetcher will pre-load a batch of data, this will lead to misalignment of old pid dict and updated pid dict. We can address this problem by redefine a prefetcher in resume_or_load	2020-05-05 23:20:42 +08:00
liaoxingyu	d27729c5bb	refactor(preciseBN): add preciseBN datasets show	2020-04-29 21:05:53 +08:00
liaoxingyu	9684500a57	chagne arch ... 1. change dataset show to trainset show and testset show seperately 2. add cls layer to easily plug in circle loss and arcface	2020-04-19 12:54:01 +08:00
liaoxingyu	be9faa5605	update focal loss ... update dataset info display update seperate lr update adaptive label smooth regularization	2020-04-17 13:46:10 +08:00
L1aoXingyu	b020c7f0ae	Fix data prefetcher minor bug	2020-02-27 12:16:57 +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	327d74ffbb	Update strong baseline result ... Change data sampler	2020-02-13 00:19:15 +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