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28 Commits (cbdc01a1c360a58b1265da7a5a86f2d82bdb6ac8)

Author SHA1 Message Date
liaoxingyu 25a7f82df7 change style in baseline 2020-06-05 11:23:11 +08:00
liaoxingyu bc221cb05f fix mgn multi-gpu training problem 
Summary: norm_type in pool_reduce will not change when use syncBN
 2020-06-05 11:11:50 +08:00
liaoxingyu 94d85fe11c fix convert caffe model problem 2020-06-04 16:39:12 +08:00
liaoxingyu e7156e1cfa fix mgn not registered problem 2020-06-03 11:46:28 +08:00
liaoxingyu 5528d17ace refactor code 
Summary: change code style and refactor code, add avgmax pooling layer in gem_pool
 2020-05-28 13:49:39 +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 18a33f7962 feat: add MGN model 
support MGN architecture and training config
 2020-05-15 11:39:54 +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 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 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 3984f0c91d refactor($modeling/meta): refactor heads output 
without intermediate variables generated by reid heads, make it more flexible
 2020-04-24 12:16:18 +08:00
liaoxingyu b098b194ba refactor($modeling/meta_arch): remove bdb_network 2020-04-21 11:44:29 +08:00
liaoxingyu 6c9af664dc refactor($modeling/meta_arch): remove useless parts 
remove useless meta_archs and backbones
 2020-04-21 11:42:14 +08:00
liaoxingyu 95a3c62ad2 refactor(fastreid) 
refactor architecture
 2020-04-20 10:59:29 +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 9cf222e093 refactor bn_no_bias 2020-04-08 21:04:09 +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 91dc9bc71f 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
 2020-03-25 11:05:28 +08:00
liaoxingyu 23bedfce12 update version0.2 code 2020-03-25 10:58:26 +08:00
L1aoXingyu b1058118ca update BDB-net code 
update MF-net code
 2020-03-19 12:23:41 +08:00
L1aoXingyu acf363c181 1. Change loss function as a build-in attributes of heads 
2. Update agw and bagtricks result
 2020-03-16 15:23:09 +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 e01d9b241f Update AGW baseline result 2020-02-13 20:37:08 +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