11 Commits

Author SHA1 Message Date
zouxinyi0625
5ba3057ff8
Modify yolox config setting(#339) 2024-03-01 16:20:12 +08:00
tuofeilun
654554cf65
support obj365 (#242)
Support Objects365 pretrain and Adding the DINO++ model can achieve an accuracy of 63.4mAP at a model scale of 200M(Under the same scale, the accuracy is the best)
2022-12-02 14:33:01 +08:00
Cathy0908
7f08eb6b3f
merge internal master 20221027 (#216)
* avoid numpy version check when xtcocotools can be imported 

Link: https://code.alibaba-inc.com/pai-vision/EasyCV/codereview/10377599

* * move thirdparty into easycv
 * fix code style
        Link: https://code.alibaba-inc.com/pai-vision/EasyCV/codereview/10395748

    * move thirdparty into easycv

* fix missing thirdparty/deformable_attention/src when build package

* optimize ci_test

* update version to 0.6.3.8 
        Link: https://code.alibaba-inc.com/pai-vision/EasyCV/codereview/10412059

    * update version to 0.6.3.8

* fix face keypoints bugs in FT

* update version to 0.6.3.9 
        Link: https://code.alibaba-inc.com/pai-vision/EasyCV/codereview/10443200

    * update version to 0.6.3.9

* fix import thirdparty

* fix unittest

* fix unittest

Co-authored-by: wenmeng.zwm <wenmeng.zwm@alibaba-inc.com>
Co-authored-by: shouzhou.bx <shouzhou.bx@alibaba-inc.com>
2022-11-01 10:48:12 +08:00
zouxinyi0625
8a484e88fd
Add yolox jit script model end2end support (#215)
* add yolox jit script model end2end support

* update export.md
2022-10-26 15:09:05 +08:00
Cathy0908
54e9571423
add BEVFormer (#203)
* add BEVFormer and benchmark
2022-10-24 17:20:12 +08:00
Cathy0908
5ac6381758
add error code (#146)
* add error code
2022-09-19 16:07:04 +08:00
zouxinyi0625
9ad1a8f448
Fix YOLOX-Edge problem and update yolox-pai turtorial (#182)
* complete yolox introduction

* fix env problem with nni2.6.1

* fix yolox-edge problem

*  add docker turtorial

* add blade test

* support old export yolox model

Co-authored-by: wuziheng <zhoulou.wzh@alibaba-inc.com>
2022-09-06 17:11:12 +08:00
tuofeilun
b198c5a81f
support DINO algo (#144)
dino_4sc_r50_12e:48.71
dino_4sc_r50_24e:50.53
dino_4sc_r50_36e:50.69
dino_4sc_swinl_12e: 56.86
dino_4sc_swinl_36e: 58.04
dino_5sc_swinl_36e: 58.47
2022-08-31 15:18:11 +08:00
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
Chen Jiayu
9517bb80ff
add dn_detr algo (#119)
support dn-detr-r50: 44.39
refactor set_criterion
2022-07-27 15:06:06 +08:00
Chen Jiayu
eeabb4c6ab
refactor det (#124) 2022-07-13 12:11:40 +08:00