EasyCV/easycv
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
..
apis Yolox improve with REPConv/ASFF/TOOD (#154) 2022-08-24 18:11:15 +08:00
core add mask2former algo (#115) 2022-08-08 18:17:01 +08:00
datasets refactor `get_sample` to `__getitem__` for all datasources api (#156) 2022-08-17 14:24:17 +08:00
file add mask2former algo (#115) 2022-08-08 18:17:01 +08:00
hooks add mask2former algo (#115) 2022-08-08 18:17:01 +08:00
models Yolox improve with REPConv/ASFF/TOOD (#154) 2022-08-24 18:11:15 +08:00
predictors Yolox improve with REPConv/ASFF/TOOD (#154) 2022-08-24 18:11:15 +08:00
runner Yolox improve with REPConv/ASFF/TOOD (#154) 2022-08-24 18:11:15 +08:00
toolkit Yolox improve with REPConv/ASFF/TOOD (#154) 2022-08-24 18:11:15 +08:00
utils Yolox improve with REPConv/ASFF/TOOD (#154) 2022-08-24 18:11:15 +08:00
__init__.py initial commit 2022-04-02 20:01:06 +08:00
version.py add v0.5.0 change_log (#139) 2022-07-27 17:06:17 +08:00