397ecf2658
Feature/paddleocr inference ( #148 )
...
* add ocr model and convert weights from paddleocrv3
2022-09-28 14:03:16 +08:00
608949b936
Merge branch 'master_github'
2022-09-20 19:59:05 +08:00
f9566c7027
fix face 2d keypoints devices bug
2022-09-20 16:10:23 +08:00
bb53e066be
fix missing vit model ( #197 )
...
* fix missing vit model
* set pretrained false while export cls model
2022-09-19 19:52:21 +08:00
5ac6381758
add error code ( #146 )
...
* add error code
2022-09-19 16:07:04 +08:00
ad78dfd3a1
fix DeiTIII cr bug ( #196 )
...
* 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 )
...
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
...
merge internal version into github master
2022-09-14 15:32:46 +08:00
0cb91de0cb
add DeiT III ( #171 )
...
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 )
...
* 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
4104bbea88
bug_fix:missing utils ( #183 )
...
* add init.py
2022-09-02 18:39:18 +08:00
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
2e8fc44dc1
add face-2d-keypoints
...
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 )
...
* 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
...
* 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
3c6c2c0b6f
add mask2former algo ( #115 )
...
add mask2former algo
support panopitc pipeline
add segment predictor
2022-08-08 18:17:01 +08:00
9517bb80ff
add dn_detr algo ( #119 )
...
support dn-detr-r50: 44.39
refactor set_criterion
2022-07-27 15:06:06 +08:00
8c93caa2d9
support Efficientformer algo ( #128 )
...
* add efficientformer
2022-07-27 11:36:03 +08:00
fe081c8aba
add torchacc, support swin ( #105 )
...
* add torchacc, support swin
2022-07-27 10:22:44 +08:00
b2c8f0ef4d
add detection benchmark model ConvViTDet for FastConvMAE ( #121 )
...
* add conv vitdet and modelzoo
2022-07-18 17:11:41 +08:00
eeabb4c6ab
refactor det ( #124 )
2022-07-13 12:11:40 +08:00
5fb0a86f69
support fcos ( #100 )
...
support fcos(38.57)
2022-07-12 18:07:02 +08:00
6b8b04db72
add upernet algo ( #118 )
...
* add upernet algo
* fix import onnx bug
2022-07-12 11:14:09 +08:00
0b472bacf1
refactor detection, support detr and dab-detr ( #104 )
...
refactor detection, support detr and dab-detr
2022-07-11 14:52:49 +08:00
368378b2af
add Fast ConvMAE ( #101 )
...
* add Fast ConvMAE and Fast ConvMAE benchmark
2022-07-08 12:11:37 +08:00
e09572895b
refactor fp16 ( #94 )
...
* refactor fp16 and fix AMPFP16OptimizerHook
2022-06-21 16:16:09 +08:00
5110de7635
remove RPNHeadNorm, adapted in mmlab_utils ( #90 )
...
* 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 )
...
* 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 )
...
* bugfix_timm_init_weights
2022-06-10 12:28:37 +08:00
3af93bdac5
YOLOX End2end & Blade Support ( #66 )
...
* support export with jit.trace and jit.script and end2end
2022-06-08 20:41:15 +08:00
12e3bed42b
bugfix_swintiny ( #79 )
...
1. add easycv_model default_path
2. bugfix pretrained
2022-06-06 12:03:05 +08:00
3ee118f065
Expand cls model zoo ( #55 )
...
1. expand cls model zoo
2. uniform load_pretrained
2022-06-01 11:01:29 +08:00
4c1b3145e6
[feature] add segmentation modules ( #71 )
...
* add segmentation module & add ResNetV1c & ResNetV1d & add benchmark
2022-05-31 20:19:17 +08:00
b5fb2b70c7
[feature]: support mmdet models config ( #25 )
...
* support mmdet models
* add mmlab_models_usage_guide.md
* remove tools/test.py
2022-05-11 17:44:06 +08:00
10266f54a7
update quantize.py code version ( #44 )
...
* 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
cdb2366725
Merge pull request #19 from wenmengzhou/fix/cls_predictor
...
Fix: classifier run inference error
2022-04-22 15:37:47 +08:00
13ff8263b3
remove all imports in easycv.utils.__init__ ( #21 )
2022-04-22 15:22:43 +08:00
7534a80195
add unittest and fix another bug using cls_head with_avg_pool=True
2022-04-21 16:07:33 +08:00
e8008e3abd
[Feature]: uniform input and output format for transforms
2022-04-06 20:02:21 +08:00
055deba53e
initial commit
2022-04-02 20:01:06 +08:00
yhq
wenmeng.zwm
shouzhou.bx
Cathy0908
zzoneee
tuofeilun
zouxinyi0625
wuziheng
pengyu.lpy
Xiaohe You
jiangnana.jnn