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29 Commits (15e1729a27f8a931923cc561cb526f7b068d409a)

Author SHA1 Message Date
Xingyu Liao 0428a270e3
update veri dataset 
Summary: update veri dataset reference information

Reviewed By: l1aoxingyu
 2020-12-22 18:01:37 +08:00
liaoxingyu 04fe9fb2d8 add saivt dataset 2020-12-22 15:47:08 +08:00
liaoxingyu e8739a667e update AirportALERT dataset 
Summary: add more IDs from the single camera
 2020-12-22 15:36:50 +08:00
Xinchen Liu 218a007b6a
Update veri.py 2020-12-21 16:19:06 +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 10cbaab155 support finetuning from trained models 
Summary: add a flag for supporting finetuning model from the trained weights, and it's very useful when performing across domain reid
 2020-09-28 17:10:10 +08:00
liaoxingyu 3024cea3a3 add more datasets 
Summary: add wildtracker.py datasets and cuhk_sysu.py datasets.
 2020-09-28 17:05:40 +08:00
liaoxingyu 154a06b875 refactor code 2020-09-23 19:31:46 +08:00
liaoxingyu 919a515eb7 fix combine all training 2020-09-09 15:28:21 +08:00
liaoxingyu 866a196d19 add more datasets support 2020-09-01 16:13:12 +08:00
liaoxingyu 9c667d1a0f add pretrain_path support in backbone 2020-08-14 14:00:26 +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 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 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
zjk15068083791 2f3f6e3267
Add files via upload 2020-04-27 16:27:44 +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
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