Commit Graph

2 Commits (7ee13097e00fd1f93bcd9309d2880e26250ccd7b)

Author SHA1 Message Date
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
wenmeng.zwm 055deba53e initial commit 2022-04-02 20:01:06 +08:00