liaoxingyu
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a6bd0371e2
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feat($data): add autoaugment
add auto augmentation support with ImageNet policy and CIFAR10 policy.
modify codes in transforms and config for adapting to this augmentation.
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2020-04-27 11:41:12 +08:00 |
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liaoxingyu
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8abd3bab03
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feat($layers): add new act func
add mish, gelu supported
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2020-04-24 12:17:00 +08:00 |
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liaoxingyu
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3984f0c91d
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refactor($modeling/meta): refactor heads output
without intermediate variables generated by reid heads, make it more flexible
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2020-04-24 12:16:18 +08:00 |
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liaoxingyu
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e3ae03cc58
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feat($modeling/backbones): add new backbones
add osnet, resnext and resnest backbone supported
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2020-04-24 12:14:56 +08:00 |
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liaoxingyu
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b098b194ba
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refactor($modeling/meta_arch): remove bdb_network
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2020-04-21 11:44:29 +08:00 |
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liaoxingyu
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6c9af664dc
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refactor($modeling/meta_arch): remove useless parts
remove useless meta_archs and backbones
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2020-04-21 11:42:14 +08:00 |
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liaoxingyu
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bb50b6c5a7
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docs($projects): update agw readme
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2020-04-21 11:35:54 +08:00 |
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liaoxingyu
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95a3c62ad2
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refactor(fastreid)
refactor architecture
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2020-04-20 10:59:29 +08:00 |
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liaoxingyu
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9684500a57
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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
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2020-04-19 12:54:01 +08:00 |
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liaoxingyu
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be9faa5605
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update focal loss
update dataset info display
update seperate lr
update adaptive label smooth regularization
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2020-04-17 13:46:10 +08:00 |
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liaoxingyu
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9cf222e093
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refactor bn_no_bias
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2020-04-08 21:04:09 +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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liaoxingyu
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c6e0176c53
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Upload demo.py and example
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2020-04-03 15:07:27 +08:00 |
|
liaoxingyu
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eacee874aa
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fix merge
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2020-03-25 11:06:39 +08:00 |
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liaoxingyu
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91dc9bc71f
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Merge branch 'master' of github.com:L1aoXingyu/fast-reid
Conflicts:
fastreid/config/defaults.py
fastreid/layers/gem_pool.py
fastreid/modeling/backbones/resnet.py
fastreid/modeling/heads/__init__.py
fastreid/modeling/heads/build.py
fastreid/modeling/losses/build.py
fastreid/modeling/meta_arch/__init__.py
fastreid/modeling/meta_arch/abd_network.py
fastreid/modeling/meta_arch/baseline.py
fastreid/modeling/meta_arch/bdb_network.py
fastreid/modeling/meta_arch/mf_network.py
projects/StrongBaseline/configs/Base-Strongbaseline.yml
projects/StrongBaseline/configs/baseline_dukemtmc.yml
projects/StrongBaseline/train_net.py
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2020-03-25 11:05:28 +08:00 |
|
liaoxingyu
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23bedfce12
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update version0.2 code
|
2020-03-25 10:58:26 +08:00 |
|
L1aoXingyu
|
b1058118ca
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update BDB-net code
update MF-net code
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2020-03-19 12:23:41 +08:00 |
|
L1aoXingyu
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acf363c181
|
1. Change loss function as a build-in attributes of heads
2. Update agw and bagtricks result
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2020-03-16 15:23:09 +08:00 |
|
L1aoXingyu
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bab602dfd2
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Fix minor bug in build criterion, it will replace by multiple call
Refactor resnet pretrain
|
2020-02-28 21:20:41 +08:00 |
|
L1aoXingyu
|
b020c7f0ae
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Fix data prefetcher minor bug
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2020-02-27 12:16:57 +08:00 |
|
L1aoXingyu
|
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 |
|
L1aoXingyu
|
e01d9b241f
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Update AGW baseline result
|
2020-02-13 20:37:08 +08:00 |
|
L1aoXingyu
|
327d74ffbb
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Update strong baseline result
Change data sampler
|
2020-02-13 00:19:15 +08:00 |
|
L1aoXingyu
|
a2f69d0537
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Update StrongBaseline results for market1501 and dukemtmc
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2020-02-11 22:38:40 +08:00 |
|
L1aoXingyu
|
8a9c0ccfad
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Finish first version for fastreid
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2020-02-10 22:13:04 +08:00 |
|
L1aoXingyu
|
db6ed12b14
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Update sampler code
|
2020-02-10 07:38:56 +08:00 |
|
liaoxingyu
|
71950d2c09
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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
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2020-01-21 20:24:26 +08:00 |
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liaoxingyu
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b761b656f3
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Finish basic training loop and evaluation results
|
2020-01-20 21:33:37 +08:00 |
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