084b48e531
add convert itag tools ( #290 )
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* fix det_raw datasorce && add convert_det_itag2raw
2023-02-27 13:21:23 +08:00
c49edc3490
Support ReID and Multi-len MOT ( #285 )
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1. Support ReID
2. Support Multi-len MOT
2023-02-23 13:38:25 +08:00
ac9f62d6dc
support train motchallenge and crowdhuman ( #265 )
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Support motchallenge and crowdhuman training.
Support multi-dataset training.
2023-02-13 11:12:28 +08:00
acd0619ef9
add no_validation arg ( #280 )
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* add no_validation arg
2023-02-10 10:18:50 +08:00
edfd482718
add mobilenet itag config ( #276 )
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* add mobilenet itag config
2023-02-08 14:09:14 +08:00
7676295e78
update predict.py to support input model directory ( #252 )
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* update predict.py, support model_dir
2022-12-06 18:22:50 +08:00
befb23c2d5
add prediction script ( #239 )
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* add prediction script
* update doc
2022-12-05 18:06:00 +08:00
23f2b0e399
Adapt designer ( #235 )
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1. Use original config as startup script. (For details, see refactor config parsing method #225 )
2. Refactor the splicing rules of the check_base_cfg_path function in the EasyCV/easycv/utils/config_tools.py
3. Support three ways to pass class_list parameter.
4. Fix the bug that clsevalutor may make mistakes when evaluating top5.
5. Fix the bug that the distributed export cannot export the model.
6. Fix the bug that the load pretrained model key does not match.
7. support cls data source itag.
2022-12-01 17:47:10 +08:00
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
8fa2f6ea40
Support NNI hpo ( #211 )
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* support hpo using NNI
2022-11-01 15:28:16 +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
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
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
6404c249f5
add analyse tools ( #133 )
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* add analyse tools and model performance
2022-07-27 10:52:05 +08:00
fe081c8aba
add torchacc, support swin ( #105 )
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* add torchacc, support swin
2022-07-27 10:22:44 +08:00
6b8b04db72
add upernet algo ( #118 )
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* add upernet algo
* fix import onnx bug
2022-07-12 11:14:09 +08:00
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
9424cc9660
vitdet visualize and predictor ( #102 )
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*vitdet bugfix
* support vitdet_predictor
2022-06-30 09:35:27 +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
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
d76d5d79fc
set multiprocess env for speedup ( #77 )
2022-06-01 10:16:02 +08:00
00f2e2eb64
fix eval metric during training and add metric unittest ( #67 )
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* fix eval metric during training and add metric unittest
2022-05-19 16:07:36 +08:00
52c2a35784
fix eval.py, remove oss_config from build_dataloader ( #62 )
2022-05-16 20:21:18 +08:00
b97908e9cb
ev quantize test update ( #64 )
2022-05-16 18:40:36 +08:00
b5fb2b70c7
[feature]: support mmdet models config ( #25 )
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* 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 )
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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
aad3835186
fix: add missing shell scripts ( #47 )
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* add missing scripts
2022-04-29 17:04:10 +08:00
c6ad4c7858
fix multi-process reading of detection datasource and accelerate data preprocessing ( #23 )
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* fix multi-process reading of detection datasource and accelerate data preprocessing
2022-04-26 14:03:28 +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
yhq
tuofeilun
Cathy0908
wenmeng zhou
zzoneee
zouxinyi0625
wuziheng
pengyu.lpy
Xiaohe You
Xiaohe You