liaoxingyu
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84c733fa85
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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
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2020-05-25 23:39:11 +08:00 |
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liaoxingyu
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e990cf3e34
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style: fix some typro
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2020-05-21 15:55:51 +08:00 |
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liaoxingyu
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bf18479541
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fix: revise syncBN bug
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2020-05-14 14:52:37 +08:00 |
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liaoxingyu
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0b15ac4e03
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feat(hooks&optim): update stochastic weight averging hooks
Update swa method which will do after regular training if you
set this option enabled.
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2020-05-08 12:20:04 +08:00 |
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liaoxingyu
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948af64fd1
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feat: add swa algorithm
Add swa and related config options,
if it is enabled, model will do swa after regular training
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2020-05-06 10:17:44 +08:00 |
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liaoxingyu
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a2dcd7b4ab
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feat(layers/norm): add ghost batchnorm
add a get_norm fucntion to easily change normalization between batchnorm, ghost bn and group bn
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2020-05-01 09:02:46 +08:00 |
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liaoxingyu
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4d2fa28dbb
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update freeze layer
update preciseBN
update circle loss with metric learning and cross entropy loss form
update loss call methods
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2020-04-06 23:34:27 +08:00 |
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liaoxingyu
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6a8961ce48
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1. upload circle loss and arcface
2. finish freeze training
3. update augmix data augmentation
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2020-04-05 23:54:26 +08:00 |
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L1aoXingyu
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12957f66aa
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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
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2020-02-18 21:01:23 +08:00 |
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L1aoXingyu
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a2f69d0537
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Update StrongBaseline results for market1501 and dukemtmc
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2020-02-11 22:38:40 +08:00 |
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L1aoXingyu
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db6ed12b14
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Update sampler code
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2020-02-10 07:38:56 +08:00 |
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