zouxinyi0625
5ba3057ff8
Modify yolox config setting( #339 )
2024-03-01 16:20:12 +08:00
tuofeilun
654554cf65
support obj365 ( #242 )
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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
f8c9a9a1c9
Improve the performance of bevformer ( #224 )
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Improve the performance of bevformer
* add hybrid brach (#232 )
Co-authored-by: yhq <yanhaiqiang.yhq@alibaba-inc.com>
2022-11-23 21:32:08 +08:00
Cathy0908
7f08eb6b3f
merge internal master 20221027 ( #216 )
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* 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 )
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* add yolox jit script model end2end support
* update export.md
2022-10-26 15:09:05 +08:00
Cathy0908
54e9571423
add BEVFormer ( #203 )
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* add BEVFormer and benchmark
2022-10-24 17:20:12 +08:00
Cathy0908
5ac6381758
add error code ( #146 )
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* add error code
2022-09-19 16:07:04 +08:00
tuofeilun
9f01a37ad4
Refactor ViTDet backbone and simple feature pyramid ( #177 )
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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
zouxinyi0625
9ad1a8f448
Fix YOLOX-Edge problem and update yolox-pai turtorial ( #182 )
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* 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 )
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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 )
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* 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 )
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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
Chen Jiayu
5fb0a86f69
support fcos ( #100 )
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support fcos(38.57)
2022-07-12 18:07:02 +08:00
Chen Jiayu
0b472bacf1
refactor detection, support detr and dab-detr ( #104 )
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refactor detection, support detr and dab-detr
2022-07-11 14:52:49 +08:00
Cathy0908
e09572895b
refactor fp16 ( #94 )
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* refactor fp16 and fix AMPFP16OptimizerHook
2022-06-21 16:16:09 +08:00
Chen Jiayu
5110de7635
remove RPNHeadNorm, adapted in mmlab_utils ( #90 )
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* remove RPNHeadNorm, adapted in mmlab_utils
2022-06-16 15:53:43 +08:00
Chen Jiayu
e61488d319
Support ViTDet algo ( #35 )
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* 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
zouxinyi0625
3af93bdac5
YOLOX End2end & Blade Support ( #66 )
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* support export with jit.trace and jit.script and end2end
2022-06-08 20:41:15 +08:00
Xiaohe You
10266f54a7
update quantize.py code version ( #44 )
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* compression tutorial
* add details of compression tutorial
* add env of compression tutorial
* update quantize.py code version
2022-05-07 16:07:07 +08:00
wenmeng.zwm
055deba53e
initial commit
2022-04-02 20:01:06 +08:00