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Author SHA1 Message Date
liaoxingyu bf18479541 fix: revise syncBN bug 2020-05-14 14:52:37 +08:00
liaoxingyu 0872a32621 feat: add syncBN support 2020-05-14 13:15:09 +08:00
liaoxingyu cd7a4e9be7 add projects folder 2020-05-14 12:52:50 +08:00
liaoxingyu 0356ef8c5c feat: add SyncBN and GroupNorm suppor 2020-05-14 11:36:28 +08:00
liaoxingyu 5ae3d4fecf feat: add aqe support in test phase 
query expansion will combine the retrived topk nearest neighbors with the original query feature,
it will enhance mAP by a large margin.feat:
 2020-05-13 16:27:22 +08:00
liaoxingyu 320010f2ae feat: support re-rank in test phase 2020-05-13 11:47:52 +08:00
liaoxingyu e502fadba9 docs: update README 2020-05-12 23:00:15 +08:00
Xingyu Liao 01d940bfdd
update vehicle dataset 
Summary: Pull Request resolved: #49 

Reviewed By: xingyu liao
 2020-05-12 21:44:05 +08:00
liaoxingyu 9addfb0ae2 feat: support visualizing label list 
add features to support label list visualization, which can be used
for label correction or check the hardest sample
 2020-05-12 21:35:33 +08:00
Jinkai Zheng 640c9bfc97
Add small, medium and large vehicle test datasets 2020-05-11 01:34:19 -05:00
Jinkai Zheng e059b751a6
Add modified vehicle datasets with small, medium and large test datastes 2020-05-11 01:30:56 -05:00
liaoxingyu 9b6fda3830 style: remove title in visualization 2020-05-11 14:12:29 +08:00
liaoxingyu 13bb03eb07 feat: add rank result visualization tools 
Update visualization tools which can save rank list with AP metrics from high to low, vice versa.
In order to compute AP fast in visualizer, modify rank_cylib to get all_AP instead of mAP.
In this way, we can use Cython to compute results.
 2020-05-10 23:17:10 +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 8ab0bc2455 style(backbone): make parameters loading logging more elegant 2020-05-08 12:22:06 +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 948af64fd1 feat: add swa algorithm 
Add swa and related config options,
if it is enabled, model will do swa after regular training
 2020-05-06 10:17:44 +08:00
liaoxingyu 9d9a1f4f2d update model zoo results 2020-05-06 09:58:49 +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
L1aoXingyu 35076d5cf5 update model zoo 2020-05-04 14:36:16 +08:00
liaoxingyu fcc1e04f5c style(model_zoo): add bot, agw, sbs as built-in model 2020-05-01 09:56:33 +08:00
liaoxingyu 46228ce946 chore(configs): update all training config 2020-05-01 09:04:51 +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 329764bb60 refactor(heads): move num_classes out from heads 
set parameter num_classes in meta_arch to easily modify different heads fc layer
 2020-04-29 21:29:48 +08:00
liaoxingyu 907798c8c9 Merge branch 'master' of github.com:L1aoXingyu/fast-reid 2020-04-29 21:07:57 +08:00
liaoxingyu 2327a5565f chore(configs): update Market1501 training config 2020-04-29 21:06:57 +08:00
liaoxingyu d27729c5bb refactor(preciseBN): add preciseBN datasets show 2020-04-29 21:05:53 +08:00
Xingyu Liao 8256f8f37e
Merge pull request #45 from JinkaiZheng/patch-2 
update vehicle reid results
 2020-04-29 18:40:07 +08:00
Jinkai Zheng 8fcec375f9
Update MODEL_ZOO.md 2020-04-29 18:33:11 +08:00
liaoxingyu fdaf82cd62 chore: update model zoo 2020-04-29 18:15:27 +08:00
liaoxingyu 6cee977748 chore(model_zoo): fix typo 2020-04-29 16:22:02 +08:00
liaoxingyu ec19bcc1d3 style(configs): put all config files together 
put all config files into one place for easily control,
and add tools for put train_net.py which almost the same in
different projects
 2020-04-29 16:18:54 +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 18fd7faff7 docs(stronger baseline): update stronger baseline results 
update stronger baseline results on Market1501, DukeMTMC and MSMT17
 2020-04-28 21:02:21 +08:00
liaoxingyu 09e8d6afbb Merge branch 'master' of github.com:L1aoXingyu/fast-reid 2020-04-28 11:55:31 +08:00
liaoxingyu 10567bd026 feat(stronger baseline): add solid tricks for a stronger baseline 
add 7 tricks on top of BagofTricks, check it in projects/StrongerBaseline/README.md
 2020-04-28 11:53:26 +08:00
Xingyu Liao 8352ce97d3
Merge pull request #44 from zjk15068083791/jinkai 
add vehicle reid dataset
 2020-04-27 16:35:44 +08:00
zjk15068083791 2f3f6e3267
Add files via upload 2020-04-27 16:27:44 +08:00
liaoxingyu 5daf322ac6 fix(data/samplers): fix bug in triplet sampler 
use drop indices to avoid two groups of same id,
but did not consider drop indices = 0, then will lead to
indentites[:0], this is a no teminal loop
 2020-04-27 15:25:29 +08:00
liaoxingyu 325d9abb76 feat($solver): change scheduler call methods 
using name of lr scheduler in config to call
 2020-04-27 15:12:01 +08:00
liaoxingyu 9e3f2c1e7a fix($data/transforms): change augmix augmentation pool 
change augmentation_all from augmentation_reid in augmix
because we found AutoAugmentation using ImageNet Policy will not harm performance
 2020-04-27 15:06:27 +08:00
liaoxingyu 4d3e5fd378 refactor(evaluation): add feature l2 norm in evaluation 
change the l2 norm function from inference function in Module to reid evaluation.
because sometimes we need to use the original features generated by model rather than normalized ones.
 2020-04-27 14:51:39 +08:00
liaoxingyu 9910bb9158 fix($modeling/heads): fix targets missing bug 
fix bug in heads about return outputs without targets.
 2020-04-27 14:49:58 +08:00
liaoxingyu 2efbc6d371 fix($modeling/heads/bnneck_head): fix heads outputs bug 
fix bug of heads outputs, which will lead to no targets return.
 2020-04-27 11:48:21 +08:00
liaoxingyu a6bd0371e2 feat($data): add autoaugment 
add auto augmentation support with ImageNet policy and CIFAR10 policy.
modify codes in transforms and config for adapting to this augmentation.
 2020-04-27 11:41:12 +08:00
liaoxingyu 8abd3bab03 feat($layers): add new act func 
add mish, gelu supported
 2020-04-24 12:17:00 +08:00
liaoxingyu 3984f0c91d refactor($modeling/meta): refactor heads output 
without intermediate variables generated by reid heads, make it more flexible
 2020-04-24 12:16:18 +08:00