mirrors
/
fast-reid
mirror of https://github.com/JDAI-CV/fast-reid.git
1
0
Fork 0
Code Issues Projects Releases Wiki Activity
290 Commits
1 Branch
4 Tags
15 MiB
Commit Graph

39 Commits (ae7c9288cf3e7547acaea32d607aa3ed9d83ad81)

Author SHA1 Message Date
liaoxingyu 57ebf75f83 fix bug about changing cfg values 2020-08-10 10:29:24 +08:00
liaoxingyu d516d59fb5 fix autoaug total_iter bug #219 
max_epoch does not convert to max_iter when needing to build dataloader first
add extra convert in `build_reid_train_loader`
 2020-08-09 19:43:01 +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 977aa4a357 update model url 2020-07-31 14:59:37 +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 3f35eb449d minor update 2020-07-14 11:58:06 +08:00
liaoxingyu b7a2b1c21a support DDP sampler and augment 2020-07-06 16:55:23 +08:00
liaoxingyu c851c7edc8 fix dataset prefix #76 2020-07-06 16:54:54 +08:00
liaoxingyu 8879db3fba update training instruction 
Summary: update dataset configuration and training instruction
 2020-06-16 19:43:36 +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 96b9ad2d99 fix docs in ToTensor 2020-06-10 19:06:03 +08:00
liaoxingyu e2761f7581 fix style in comm dataset 2020-05-30 16:56:08 +08:00
liaoxingyu cd69ba6ffb update augmix augments 
Summary: replace augmix augmentations for adapting reid
 2020-05-27 22:56:31 +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 fd90555e19 feat: add multi-dataset joint training 
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
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 4be4cacb73 fix: add a simple way to reset data prefetcher when resume training 
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 
Add a new predictor interface, and modify demo code to predict image features.
 2020-05-08 19:24:27 +08:00
liaoxingyu 6d96529d4c fix(data): fix resume training bug 
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
liaoxingyu d27729c5bb refactor(preciseBN): add preciseBN datasets show 2020-04-29 21:05:53 +08:00
zjk15068083791 2f3f6e3267
Add files via upload 2020-04-27 16:27:44 +08:00
liaoxingyu 5daf322ac6 fix(data/samplers): fix bug in triplet sampler 
use drop indices to avoid two groups of same id,
but did not consider drop indices = 0, then will lead to
indentites[:0], this is a no teminal loop
 2020-04-27 15:25:29 +08:00
liaoxingyu 9e3f2c1e7a fix($data/transforms): change augmix augmentation pool 
change augmentation_all from augmentation_reid in augmix
because we found AutoAugmentation using ImageNet Policy will not harm performance
 2020-04-27 15:06:27 +08:00
liaoxingyu a6bd0371e2 feat($data): add autoaugment 
add auto augmentation support with ImageNet policy and CIFAR10 policy.
modify codes in transforms and config for adapting to this augmentation.
 2020-04-27 11:41:12 +08:00
liaoxingyu bb50b6c5a7 docs($projects): update agw readme 2020-04-21 11:35:54 +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 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 23bedfce12 update version0.2 code 2020-03-25 10:58:26 +08:00
L1aoXingyu b020c7f0ae Fix data prefetcher minor bug 2020-02-27 12:16:57 +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 327d74ffbb Update strong baseline result 
Change data sampler
 2020-02-13 00:19:15 +08:00
L1aoXingyu a2f69d0537 Update StrongBaseline results for market1501 and dukemtmc 2020-02-11 22:38:40 +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