EasyCV/easycv/models
wuziheng 9aaa600f79
Yolox improve with REPConv/ASFF/TOOD (#154)
* add attention layer and more loss function

* add attention layer and various loss functions

* add siou loss

* add tah,various attention layers, and different loss functions

* add asff sim, gsconv

* blade utils fit faster

* blade optimize for yolox static & fp16

* decode output for yolox control by cfg

* add reparameterize_models for export

* e2e trt_nms plugin export support and numeric test

* split preprocess from end2end+blade, speedup from 17ms->7.2ms

Co-authored-by: zouxinyi0625 <zouxinyi.zxy@alibaba-inc.com>
2022-08-24 18:11:15 +08:00
..
backbones Yolox improve with REPConv/ASFF/TOOD (#154) 2022-08-24 18:11:15 +08:00
classification add dn_detr algo (#119) 2022-07-27 15:06:06 +08:00
detection Yolox improve with REPConv/ASFF/TOOD (#154) 2022-08-24 18:11:15 +08:00
heads add Fast ConvMAE (#101) 2022-07-08 12:11:37 +08:00
loss Yolox improve with REPConv/ASFF/TOOD (#154) 2022-08-24 18:11:15 +08:00
pose refactor fp16 (#94) 2022-06-21 16:16:09 +08:00
segmentation add mask2former algo (#115) 2022-08-08 18:17:01 +08:00
selfsup add Fast ConvMAE (#101) 2022-07-08 12:11:37 +08:00
utils Yolox improve with REPConv/ASFF/TOOD (#154) 2022-08-24 18:11:15 +08:00
__init__.py [feature] add segmentation modules (#71) 2022-05-31 20:19:17 +08:00
base.py add torchacc, support swin (#105) 2022-07-27 10:22:44 +08:00
builder.py refactor detection, support detr and dab-detr (#104) 2022-07-11 14:52:49 +08:00
modelzoo.py support Efficientformer algo (#128) 2022-07-27 11:36:03 +08:00
registry.py refactor detection, support detr and dab-detr (#104) 2022-07-11 14:52:49 +08:00