26cd12ab42
[features] Support stdc ( #284 )
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* add stdc semantic segmentation algorithm
2023-02-16 14:00:59 +08:00
8379127388
add video recognition ( #256 )
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* add x3d swin-video clip-bert video algorithm
2023-01-10 17:33:35 +08:00
17c1f39b6f
features/edgevit3 ( #214 )
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* add backbone model 'EdgeVit'
2022-11-17 14:30:12 +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
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
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
055deba53e
initial commit
2022-04-02 20:01:06 +08:00
yhq
Jiabei-prog
wenmeng zhou
zzoneee
tuofeilun
shouzhou.bx
wuziheng
pengyu.lpy
Cathy0908