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13 Commits (ee009f0a0d34bfca19d852539fb7dd8f60262256)

Author SHA1 Message Date
liaoxingyu 10b04b75ff Support lazy loading in dataset 
Add an option for lazy loading, which will parse the data when using it. Specifically, when calling `dataset.query`, it will start to parse the query data, and `train` and `gallery` will not be parsed in advanced. This is useful when you want to run on test dataset but train dataset is large.

See examples in market1501.py
 2021-06-17 16:59:02 +08:00
Xie Jingyi 25cfa88fd9
Fix bug: COMBINEALL should add extra prefix to avoid pid conflictions (#447) 2021-03-30 15:49:52 +08:00
liaoxingyu b5c3c0a24d update docs 2021-01-22 21:11:19 +08:00
liaoxingyu e8739a667e update AirportALERT dataset 
Summary: add more IDs from the single camera
 2020-12-22 15:36:50 +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 65169b40bd support ddp testing 2020-07-30 20:15:28 +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
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
L1aoXingyu db6ed12b14 Update sampler code 2020-02-10 07:38:56 +08:00