liaoxingyu
5d4758125d
support ResNet34 backbone
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Summary: add BasicBlock to support ResNet34
2020-05-26 13:18:09 +08:00
liaoxingyu
84c733fa85
fix: remove prefetcher, put normalizer in model
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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
Xingyu Liao
72cebec08f
Merge pull request #61 from JinkaiZheng/patch-3
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add 10-fold cross-validation result in VehicleID
2020-05-25 16:44:47 +08:00
Jinkai Zheng
0f9e29224e
Change VehilcleID results
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Replace VehicleID results with those under 10-fold cross-validation.
2020-05-25 16:36:08 +08:00
liaoxingyu
8458bece5e
Merge branch 'master' of github.com:L1aoXingyu/fast-reid
2020-05-23 10:42:31 +08:00
liaoxingyu
1eea244afb
chore(model_zoo): update mgn metrics
2020-05-23 10:42:24 +08:00
liaoxingyu
94c86579a3
fix(heads): fix bug in reduce head
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add neck_feat from config, add inplace in leakyrelu for memory save
2020-05-23 10:41:13 +08:00
Xingyu Liao
e7b2675606
Merge pull request #60 from JinkaiZheng/update VehicleID's results
2020-05-22 13:49:35 +08:00
Jinkai Zheng
b6547635a9
Fix VehicleID's results and update VeRi's results
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Fix VehicleID's results and update VeRi's results
2020-05-22 13:43:34 +08:00
liaoxingyu
c21de64166
fix: add linear initial method
2020-05-21 23:59:51 +08:00
liaoxingyu
95e8a02b2a
feat: partial reid first commit
2020-05-21 23:58:35 +08:00
liaoxingyu
e990cf3e34
style: fix some typro
2020-05-21 15:55:51 +08:00
liaoxingyu
2ac55a7601
feat: update roc curve and TPR@FPR metric
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support plot multiple ROC curves with different model
2020-05-20 14:29:33 +08:00
liaoxingyu
e344eae1cc
feat: support plotting roc curve and compute auc score
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ROC curve and AUC score will be help for thresholds
2020-05-19 20:45:26 +08:00
liaoxingyu
e20eb0394b
fix: modify open_layers in BoT config file
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modify open_layers to list type to be compatible with default config
2020-05-19 14:46:35 +08:00
liaoxingyu
9e40194669
fix: change config of sbs
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change weight decay and bias_lr in config of SBS, which can boost performance slightly.
2020-05-18 20:16:38 +08:00
liaoxingyu
fd90555e19
feat: add multi-dataset joint training
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new feature that can support joint training, and find some bugs in funtion combine_all of datasets/bases.py that assume person id in dataset has been relabeld from 0 to num_class.
Another bug appears in msmt17 which trainset and testset person id both begin from 0, and we should change testset id from num_class of trainset.
2020-05-18 20:06:04 +08:00
liaoxingyu
579a5cf552
fix: modify re-rank typro
2020-05-18 17:05:20 +08:00
liaoxingyu
d63bf5facc
fix: add syncBN options in defaultTraine
2020-05-16 22:44:53 +08:00
liaoxingyu
b28c0032e8
fix: add monkey-patching to enable syncBN
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add a trigger to make syncBN work
2020-05-15 13:33:33 +08:00
liaoxingyu
18a33f7962
feat: add MGN model
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support MGN architecture and training config
2020-05-15 11:39:54 +08:00
liaoxingyu
3041a52aef
fix: revise config file in stronger baseline
2020-05-14 14:55:30 +08:00
liaoxingyu
bf18479541
fix: revise syncBN bug
2020-05-14 14:52:37 +08:00
liaoxingyu
0872a32621
feat: add syncBN support
2020-05-14 13:15:09 +08:00
liaoxingyu
cd7a4e9be7
add projects folder
2020-05-14 12:52:50 +08:00
liaoxingyu
0356ef8c5c
feat: add SyncBN and GroupNorm suppor
2020-05-14 11:36:28 +08:00
liaoxingyu
5ae3d4fecf
feat: add aqe support in test phase
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query expansion will combine the retrived topk nearest neighbors with the original query feature,
it will enhance mAP by a large margin.feat:
2020-05-13 16:27:22 +08:00
liaoxingyu
320010f2ae
feat: support re-rank in test phase
2020-05-13 11:47:52 +08:00
liaoxingyu
e502fadba9
docs: update README
2020-05-12 23:00:15 +08:00
Xingyu Liao
01d940bfdd
update vehicle dataset
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Summary: Pull Request resolved : #49
Reviewed By: xingyu liao
2020-05-12 21:44:05 +08:00
liaoxingyu
9addfb0ae2
feat: support visualizing label list
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add features to support label list visualization, which can be used
for label correction or check the hardest sample
2020-05-12 21:35:33 +08:00
Jinkai Zheng
640c9bfc97
Add small, medium and large vehicle test datasets
2020-05-11 01:34:19 -05:00
Jinkai Zheng
e059b751a6
Add modified vehicle datasets with small, medium and large test datastes
2020-05-11 01:30:56 -05:00
liaoxingyu
9b6fda3830
style: remove title in visualization
2020-05-11 14:12:29 +08:00
liaoxingyu
13bb03eb07
feat: add rank result visualization tools
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Update visualization tools which can save rank list with AP metrics from high to low, vice versa.
In order to compute AP fast in visualizer, modify rank_cylib to get all_AP instead of mAP.
In this way, we can use Cython to compute results.
2020-05-10 23:17:10 +08:00
liaoxingyu
651e6ba9c4
feat: support multiprocess predictor
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add asyncpredictor to support multiprocessing feature extraction with dataloader
2020-05-09 18:23:36 +08:00
liaoxingyu
4be4cacb73
fix: add a simple way to reset data prefetcher when resume training
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use data prefetcher build-in reset function to reload it rather than
redefining a new data prefetcher, otherwise it will introduce other
problems in eval-only mode.
2020-05-09 11:58:27 +08:00
liaoxingyu
9fae467adf
feat(engine/defaults): add DefaultPredictor to get image reid features
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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
0b15ac4e03
feat(hooks&optim): update stochastic weight averging hooks
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Update swa method which will do after regular training if you
set this option enabled.
2020-05-08 12:20:04 +08:00
liaoxingyu
afac8aad5d
Fix(engine): fix preciseBN dataloader bugs
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preciseBN needs to pass data prefetcher, but now a DataLoader is passed
2020-05-06 14:26:34 +08:00
liaoxingyu
948af64fd1
feat: add swa algorithm
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Add swa and related config options,
if it is enabled, model will do swa after regular training
2020-05-06 10:17:44 +08:00
liaoxingyu
9d9a1f4f2d
update model zoo results
2020-05-06 09:58:49 +08:00
liaoxingyu
6d96529d4c
fix(data): fix resume training bug
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fix dataset pid dictionary loading bug when resume training,
data prefetcher will pre-load a batch of data, this will lead to
misalignment of old pid dict and updated pid dict.
We can address this problem by redefine a prefetcher in resume_or_load
2020-05-05 23:20:42 +08:00
L1aoXingyu
35076d5cf5
update model zoo
2020-05-04 14:36:16 +08:00
liaoxingyu
fcc1e04f5c
style(model_zoo): add bot, agw, sbs as built-in model
2020-05-01 09:56:33 +08:00
liaoxingyu
46228ce946
chore(configs): update all training config
2020-05-01 09:04:51 +08:00
liaoxingyu
a2dcd7b4ab
feat(layers/norm): add ghost batchnorm
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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
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set parameter num_classes in meta_arch to easily modify different heads fc layer
2020-04-29 21:29:48 +08:00
liaoxingyu
907798c8c9
Merge branch 'master' of github.com:L1aoXingyu/fast-reid
2020-04-29 21:07:57 +08:00