7 Commits

Author SHA1 Message Date
jiangnana.jnn
99b3cd9a82 remove optimizer registry
* remove optimzer registry
 * update version
        Link: https://code.alibaba-inc.com/pai-vision/EasyCV/codereview/10218900

    * remove optimzer registry and update version
2022-09-23 14:01:45 +08:00
Cathy0908
5ac6381758
add error code (#146)
* add error code
2022-09-19 16:07:04 +08:00
tuofeilun
9f01a37ad4
Refactor ViTDet backbone and simple feature pyramid (#177)
1. The vitdet backbone implemented by d2 is about 20% faster than the vitdet backbone originally reproduced by easycv.
2. 50.57 -> 50.65
2022-09-16 11:03:53 +08:00
zzoneee
0cb91de0cb
add DeiT III (#171)
1.Add a backbone: deitiii.
2.Add an optimizer: lamb. 
3.Add a sampler: RASampler. 
4.Add a lr update hook: CosineAnnealingWarmupByEpochLrUpdaterHook.
5.In easycv/models/classification/classification.py, I remove the default mixup_cfg to keep the classification.py clean.
2022-09-14 15:24:54 +08:00
Chen Jiayu
0b472bacf1
refactor detection, support detr and dab-detr (#104)
refactor detection, support detr and dab-detr
2022-07-11 14:52:49 +08:00
Chen Jiayu
e61488d319
Support ViTDet algo (#35)
* adapt mmlab modules
* add vitdet
* support conv aggregation
* modify vitdet load pretrained
* support fp16
* modify defaultformatbundle
* modify aug
* bugfix sampler
* bugfix mmresize
* bugfix fp16&nonetype
* bugfix filterannotation
* support dlc
* bugfix dist
* bugfix detsourcecoco
* smodify mmdet_parse_losses
* bugfix nan
* bugfix eval
* bugfix data=nonetype
* modify resize_embed
* support vitdet_conv
* add vitdet_conv init_weight
* add test_vitdet
* uniform rand_another
* uniform use fp16 method
* add test_fp16

Co-authored-by: jiangnana.jnn <jiangnana.jnn@alibaba-inc.com>
2022-06-10 21:49:32 +08:00
wenmeng.zwm
055deba53e initial commit 2022-04-02 20:01:06 +08:00