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116 Commits (6687df06e01893b275be15166edcbe3ffd4ee87c)

Author SHA1 Message Date
zuchen.wang 6687df06e0 update default config 2021-10-27 15:24:25 +08:00
zuchen.wang d4e2ac32d8 add pcb 2021-10-27 15:09:57 +08:00
zuchen.wang 3e753612a9 change pair evaluator 2021-10-18 15:36:54 +08:00
zuchen.wang d162c5fc4e add PairHead 2021-10-15 21:26:16 +08:00
zuchen.wang ef46486804 train contrastive loss 2021-10-13 20:05:08 +08:00
zuchen.wang 8c09ec0d3d update forward 2021-10-13 20:05:08 +08:00
zuchen.wang 1bd41a79fc add cls target in pair dataset 2021-10-13 20:05:07 +08:00
zuchen.wang 8b309b0f4e add contrastive loss 2021-10-13 20:05:07 +08:00
keith 44d1e04e9a
Added: mobilenetv3 backbone (#525) 2021-06-30 14:49:28 +08:00
liaoxingyu 4f90197336 add logger for pretrain model downloading 2021-06-08 15:57:47 +08:00
liaoxingyu 54f96ba78a fix for lint_python 2021-05-31 17:36:56 +08:00
liaoxingyu 6300bd756e Bugfix for cls_layer 
In `any_softmax`, all operations are in-place, so pass into the `logits.clone()` to prevent outside logits changed.
 2021-05-31 17:32:24 +08:00
liaoxingyu 91ff631184 Minor changes 
Some minor changes, such as class name changing, remove extra blank line, etc.
 2021-05-31 17:27:14 +08:00
liaoxingyu 8ab3554958 Support self-distill with EMA updated model 2021-05-31 17:17:24 +08:00
liaoxingyu 2cabc3428a Support vision transformer backbone 2021-05-31 17:08:57 +08:00
liaoxingyu 0c8e3d9805 update imbalanced sampler 
Summary: add a new sampler, which is useful for imbalanced or long-tail dataset. This refers to ufoym/imbalanced-dataset-sampler.
 2021-04-21 17:05:10 +08:00
Xingyu Liao 1dce15efad
faster dataloader with pre-fetch and cuda stream (#456) 
Summary: add a background thread to create a generator with pre-fetch, and create a new cuda stream to copy tensor from cpu to gpu in parallel.

Reviewed by: l1aoxingyu
 2021-04-12 15:03:35 +08:00
liaoxingyu 44cee30dfc update fastreid v1.2 
Summary:
1. refactor dataloader and heads
2. bugfix in fastattr, fastclas, fastface and partialreid
3. partial-fc supported in fastface
 2021-04-02 21:33:13 +08:00
Xingyu Liao be0a089e1f
bugfix & merge classification transforms (#448) 
Summary: change heads definition in project and config file, merge classification transforms into default transforms
 2021-03-30 15:47:14 +08:00
Xingyu Liao 890224f25c
support classification in fastreid (#443) 
Summary: support classification and refactor build_dataloader which can support explicit parameters passing
 2021-03-26 20:17:39 +08:00
Xingyu Liao 883fd4aede
add configurable decorator & linear loss decouple (#441) 
Summary: Add configurable decorator which can call `Baseline` with `Baseline(cfg)` or `Baseline(cfg, heads=heads, ...)`
Decouple linear and loss computation for partial-fc support.

Reviewed By: l1aoxingyu
 2021-03-23 12:10:06 +08:00
Xingyu Liao 9b5af4166e
support repvgg (#429) 
Summary:
* support repvgg backbone, and verify the consistency of train mode and eval mode
* onnx export logger style modification
 2021-03-11 14:23:24 +08:00
liaoxingyu 77a91b1204 feat: support multi-teacher kd 
Summary: support multi-teacher kd with logits and overhaul distillation
 2021-01-29 17:25:31 +08:00
liaoxingyu 6b4b935ce4 fix augmix warning 
Summary: add array.clone to avoid warning about numpy array not writable
 2021-01-29 11:50:33 +08:00
liaoxingyu b786001ebd add mobilenetv2 support 2021-01-26 18:17:01 +08:00
liaoxingyu a53fd17874 update docs 2021-01-23 15:25:58 +08:00
liaoxingyu b5c3c0a24d update docs 2021-01-22 21:11:19 +08:00
liaoxingyu e26182e6ec make lr warmup by iter 
Summary: change warmup way by iter not by epoch, which will make it more flexible when training small epochs
 2021-01-22 11:17:21 +08:00
liaoxingyu 7e83d3175f update README.md 
Summary: add information about fastreid V1.0
 2021-01-18 11:44:55 +08:00
liaoxingyu 15e1729a27 update fastreid V1.0 2021-01-18 11:36:38 +08:00
liaoxingyu c49414bb9f fix SE layer of basicblock in resnet (#375) 
Summary: SE layer defined in `__init__` but not used in `forward`

close #375
 2021-01-04 10:46:54 +08:00
liaoxingyu 766f309d03 feat: update pairwise cosface and pairwise circle loss 2020-12-22 15:51:49 +08:00
liaoxingyu a327a70f0d v0.3 update 
Summary:
1. change DPP training in apex way;
2. make warmup scheduler by iter and lr scheduler by epoch;
3. replace random erasing with torchvision implementation;
4. naming modification in config file
 2020-12-07 14:19:20 +08:00
liaoxingyu f496193f17 change cross_entroy_loss input name 
Summary: change `pred_class_logits` to `pred_class_outputs` to prevent misleading. (#318)

close #318
 2020-11-06 14:16:31 +08:00
liaoxingyu2 a00e50d37f fix triplet ddp training 
Summary: fixup precision alignment when triplet loss with ddp
 2020-11-06 11:01:10 +08:00
liaoxingyu2 42cadaeebc update backbone and config 
Summary: update resnet backbone for adaptation caffe export; modify effnet loading keyword
 2020-11-06 10:58:38 +08:00
liaoxingyu 3d1bae9f13 fix triplet loss backward propagation on multi-gpu training (#82) 
Summary: fix torch.distributed.all_gather has no gradient when performing all_gather operation on the provided tensors, instead using `GatherLayer`.
 2020-09-28 17:16:51 +08:00
liaoxingyu ea06ead9e3 fix problem when converting to caffe model (#261) 
Summary: caffe cannot support normalization(sub mean and div std) in network, so make the normalization operators inplace which will not trigger when converting to caffe.

close #261
 2020-09-25 11:26:20 +08:00
liaoxingyu 5dfe537515 update attribute project 2020-09-23 19:45:13 +08:00
liaoxingyu 2f29228086 fix regnet cfg problem 2020-09-23 14:41:44 +08:00
liaoxingyu df823da09a fix typro bce loss 
close #273
 2020-09-18 10:39:10 +08:00
liaoxingyu d9a63a959f fix bug in mgn #272 
Summary: fix get_norm bug in mgn
 2020-09-17 18:17:53 +08:00
liaoxingyu 648198e6e5 add efficientnet support 2020-09-10 11:04:52 +08:00
liaoxingyu 1b84348619 remove `num_splits` in batchnorm 
Summary: `num_splits` works for GhostBN, but it's very uncommon
 2020-09-10 11:01:07 +08:00
liaoxingyu 4d573b8107 refactor reid head 
Summary: merge BNneckHead, LinearHead and ReductionHead into EmbeddingHead
because they are highly similar and can be prepared for ClsHead
 2020-09-10 10:57:37 +08:00
liaoxingyu aa5c422606 fix pair-wise circle loss 
fix #252
 2020-09-09 15:28:52 +08:00
liaoxingyu 53fed7451d feat: support amp training 
Summary: support automatic mixed precision training #217
 2020-09-02 18:03:12 +08:00
liaoxingyu d00ce8fc3c refactor model arch 2020-09-01 16:14:45 +08:00
liaoxingyu f4305b0964 fix bnneck 2020-08-20 16:21:14 +08:00
liaoxingyu ac8409a7da updating for pytorch1.6 2020-08-20 15:51:41 +08:00