116 Commits

Author SHA1 Message Date
liaoxingyu
9c667d1a0f add pretrain_path support in backbone 2020-08-14 14:00:26 +08:00
liaoxingyu
db6b42da4f update resnest url 2020-08-10 14:18:00 +08:00
liaoxingyu
d1c20cbe50 fix pre-train model bugs
fix bugs locks when downloading pre-train model
2020-08-04 15:56:36 +08:00
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