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63 Commits (e1aaeb358b2f77dfb773b38ab4b15597fc5a92f7)

Author SHA1 Message Date
liaoxingyu 35794621cc remove addmm warning 2020-07-31 16:32:10 +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 65169b40bd support ddp testing 2020-07-30 20:15:28 +08:00
liaoxingyu 16655448c2 onnx/trt support 
Summary: change model pretrain mode and support onnx/TensorRT export
 2020-07-29 17:43:39 +08:00
liaoxingyu ee634df290 rm _all_ in resnet 2020-07-17 19:40:25 +08:00
liaoxingyu 5ad22d5d36 update regnet init 2020-07-17 19:35:40 +08:00
liaoxingyu f9539be683 add regnet config file 2020-07-17 19:32:36 +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 f8d468647c resnet expansion add 2020-07-10 22:40:07 +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 5ae2cff47e fix circle/arcface pred_logits 
fix #136
 2020-07-06 16:57:03 +08:00
liaoxingyu ecc2b1a790 update naive sampler 
Summary: update naive sampler which will introduce unbalanced sampling
 2020-06-15 20:50:25 +08:00
liaoxingyu 56a1ab4a5d update fast global avgpool 
Summary: update fast pool according to https://arxiv.org/pdf/2003.13630.pdf
 2020-06-12 16:34:03 +08:00
liaoxingyu cbdc01a1c3 update pairwise circle loss 
Summary: add param of pairwise circle loss to config, and update pairwise circle loss version
 2020-06-10 19:07:29 +08:00
liaoxingyu 3732f94405 update osnet 2020-06-09 14:38:49 +08:00
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 c036ac5bdd update reduction head 2020-05-30 16:50:02 +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 a1cb123cfa fix R101 bottleneck missing problem 
Summary: add key 101 in block dict to support R101
 2020-05-26 14:48:32 +08:00
liaoxingyu d4b71de3aa switch between soft and hard margin when inf 
Summary: Add a mechnism to automatic switch triplet loss with soft margin to hard margin when loss becomes inf.
 2020-05-26 14:36:33 +08:00
liaoxingyu 5982f90920 support loading various pretrained weights 
Summary: Support loading pretrained model by custom path. With this function, we can load infoMin weights.
 2020-05-26 14:33:18 +08:00
liaoxingyu 5d4758125d support ResNet34 backbone 
Summary: add BasicBlock to support ResNet34
 2020-05-26 13:18:09 +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 94c86579a3 fix(heads): fix bug in reduce head 
add neck_feat from config, add inplace in leakyrelu for memory save
 2020-05-23 10:41:13 +08:00
liaoxingyu c21de64166 fix: add linear initial method 2020-05-21 23:59:51 +08:00
liaoxingyu 18a33f7962 feat: add MGN model 
support MGN architecture and training config
 2020-05-15 11:39:54 +08:00
liaoxingyu 0356ef8c5c feat: add SyncBN and GroupNorm suppor 2020-05-14 11:36:28 +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 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 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 3984f0c91d refactor($modeling/meta): refactor heads output 
without intermediate variables generated by reid heads, make it more flexible
 2020-04-24 12:16:18 +08:00
liaoxingyu e3ae03cc58 feat($modeling/backbones): add new backbones 
add osnet, resnext and resnest backbone supported
 2020-04-24 12:14:56 +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 be9faa5605 update focal loss 
update dataset info display
update seperate lr
update adaptive label smooth regularization
 2020-04-17 13:46:10 +08:00
liaoxingyu 9cf222e093 refactor bn_no_bias 2020-04-08 21:04:09 +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 c6e0176c53 Upload demo.py and example 2020-04-03 15:07:27 +08:00