17c1f39b6f
features/edgevit3 ( #214 )
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* add backbone model 'EdgeVit'
2022-11-17 14:30:12 +08:00
ab3b2a0258
add Hydra Attention ( #220 )
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* add hydra attention implementation
* refactor deit iii config
2022-11-07 11:19:07 +08:00
54e9571423
add BEVFormer ( #203 )
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* add BEVFormer and benchmark
2022-10-24 17:20:12 +08:00
5ac6381758
add error code ( #146 )
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* add error code
2022-09-19 16:07:04 +08:00
ad78dfd3a1
fix DeiTIII cr bug ( #196 )
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* fixbug_DeiTIII and rename vit_transfomer_dynamic.py to vit_transformer_dynamic.py
2022-09-17 11:21:47 +08:00
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
1d5edf6d78
Merge pull request #191 from alibaba/easycv_internal_0830
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merge internal version into github master
2022-09-14 15:32:46 +08:00
0cb91de0cb
add DeiT III ( #171 )
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1.Add a backbone: deitiii.
2.Add an optimizer: lamb.
3.Add a sampler: RASampler.
4.Add a lr update hook: CosineAnnealingWarmupByEpochLrUpdaterHook.
5.In easycv/models/classification/classification.py, I remove the default mixup_cfg to keep the classification.py clean.
2022-09-14 15:24:54 +08:00
bf43e8a25b
merge github master
2022-09-08 10:38:31 +08:00
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
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
2e8fc44dc1
add face-2d-keypoints
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Link: https://code.alibaba-inc.com/pai-vision/EasyCV/codereview/9809249
* add face 2d keypoint config
2022-08-25 16:57:37 +08:00
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
0128e881d9
add segformer algo
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* 将COCO_Stuff_164k数据集增加到了data_hub.md, prepared_data.md, 以及将其对应脚本加到了prepare_data文件夹下面
* 增加了segformer对应的predictor
* 完善docs/source/model_zoo_seg.md中关于segformer的信息
2022-08-18 10:40:18 +08:00
8c93caa2d9
support Efficientformer algo ( #128 )
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* add efficientformer
2022-07-27 11:36:03 +08:00
b2c8f0ef4d
add detection benchmark model ConvViTDet for FastConvMAE ( #121 )
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* add conv vitdet and modelzoo
2022-07-18 17:11:41 +08:00
368378b2af
add Fast ConvMAE ( #101 )
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* add Fast ConvMAE and Fast ConvMAE benchmark
2022-07-08 12:11:37 +08:00
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
0f69dbe902
Swint_cifar config bugfix ( #95 )
2022-06-16 14:46:47 +08:00
b737027aa4
remove useless import and optimize imports ( #84 )
2022-06-13 10:29:41 +08:00
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
57ccd90a23
bugfix_timm_init_weights ( #85 )
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* bugfix_timm_init_weights
2022-06-10 12:28:37 +08:00
12e3bed42b
bugfix_swintiny ( #79 )
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1. add easycv_model default_path
2. bugfix pretrained
2022-06-06 12:03:05 +08:00
3ee118f065
Expand cls model zoo ( #55 )
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1. expand cls model zoo
2. uniform load_pretrained
2022-06-01 11:01:29 +08:00
4c1b3145e6
[feature] add segmentation modules ( #71 )
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* add segmentation module & add ResNetV1c & ResNetV1d & add benchmark
2022-05-31 20:19:17 +08:00
13ff8263b3
remove all imports in easycv.utils.__init__ ( #21 )
2022-04-22 15:22:43 +08:00
055deba53e
initial commit
2022-04-02 20:01:06 +08:00
Jiabei-prog
zzoneee
Cathy0908
tuofeilun
wenmeng zhou
zouxinyi0625
shouzhou.bx
wuziheng
pengyu.lpy