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39 Commits (1b9799f601a0302ef015677e7a157eda0a4f9268)

Author SHA1 Message Date
liaoxingyu 2724515fd9 save class number to config (#281) 
Summary: Save the class number calculated based on datasets to the config file. If you hard-code the class number, make it unchanged.
 2020-11-06 16:07:37 +08:00
liaoxingyu 7e9a4775da fixup finetune problem 
Summary: support finetune from the other model with different number of classes, and simplify calling way (#325)

close #325

close #325
 2020-11-06 15:58:22 +08:00
liaoxingyu 10cbaab155 support finetuning from trained models 
Summary: add a flag for supporting finetuning model from the trained weights, and it's very useful when performing across domain reid
 2020-09-28 17:10:10 +08:00
liaoxingyu 154a06b875 refactor code 2020-09-23 19:31:46 +08:00
liaoxingyu 4fa3f08a4a fix typro 
close #268
 2020-09-14 11:34:28 +08:00
liaoxingyu 4d573b8107 refactor reid head 
Summary: merge BNneckHead, LinearHead and ReductionHead into EmbeddingHead
because they are highly similar and can be prepared for ClsHead
 2020-09-10 10:57:37 +08:00
liaoxingyu 53fed7451d feat: support amp training 
Summary: support automatic mixed precision training #217
 2020-09-02 18:03:12 +08:00
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 2430b8ed75 pretrain model bugfix 
Fix pretrain model download bugs and testing bugs in multiprocess
 2020-07-31 10:42:38 +08:00
liaoxingyu 3b57dea49f support regnet backbone 2020-07-17 19:13:45 +08:00
liaoxingyu 3f35eb449d minor update 2020-07-14 11:58:06 +08:00
liaoxingyu ea8a3cc534 fix typro 2020-07-10 16:26:35 +08:00
liaoxingyu fec7abc461 finish v0.2 ddp training 2020-07-06 16:57:43 +08:00
liaoxingyu 36c04f0a9f fix resume training problem 
Summary: when resume training, need to reiter dataloader because we update pid_dict in dataset, but dataloader with multiprocess won't do the same update
 2020-05-30 16:44:18 +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 e990cf3e34 style: fix some typro 2020-05-21 15:55:51 +08:00
liaoxingyu d63bf5facc fix: add syncBN options in defaultTraine 2020-05-16 22:44:53 +08:00
liaoxingyu b28c0032e8 fix: add monkey-patching to enable syncBN 
add a trigger to make syncBN work
 2020-05-15 13:33:33 +08:00
liaoxingyu bf18479541 fix: revise syncBN bug 2020-05-14 14:52:37 +08:00
liaoxingyu 651e6ba9c4 feat: support multiprocess predictor 
add asyncpredictor to support multiprocessing feature extraction with dataloader
 2020-05-09 18:23:36 +08:00
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 9fae467adf feat(engine/defaults): add DefaultPredictor to get image reid features 
Add a new predictor interface, and modify demo code to predict image features.
 2020-05-08 19:24:27 +08:00
liaoxingyu 0b15ac4e03 feat(hooks&optim): update stochastic weight averging hooks 
Update swa method which will do after regular training if you
set this option enabled.
 2020-05-08 12:20:04 +08:00
liaoxingyu afac8aad5d Fix(engine): fix preciseBN dataloader bugs 
preciseBN needs to pass data prefetcher, but now a DataLoader is passed
 2020-05-06 14:26:34 +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 a2dcd7b4ab feat(layers/norm): add ghost batchnorm 
add a get_norm fucntion to easily change normalization between batchnorm, ghost bn and group bn
 2020-05-01 09:02:46 +08:00
liaoxingyu d27729c5bb refactor(preciseBN): add preciseBN datasets show 2020-04-29 21:05:53 +08:00
liaoxingyu e38a799b63 fix(engine/defaults): fix precise bn bug 
fix problem in precise bn, which will not use precise bn datasets, and throw some errors
 2020-04-29 16:16:54 +08:00
liaoxingyu 4d2fa28dbb update freeze layer 
update preciseBN
update circle loss with metric learning and cross entropy loss form
update loss call methods
 2020-04-06 23:34:27 +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 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 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