f2bac79f03
[Refactor] Refactor DatasetWrapper
2022-06-27 14:36:18 +00:00
9ed2e1cdd8
Merge branch 'limengzhang/fix_optim_delete' into 'refactor_dev'
...
[Fix] Remove _delete_=True in optimizer
See merge request openmmlab-enterprise/openmmlab-ce/mmsegmentation!51
2022-06-21 02:35:38 +00:00
2c4bcbd7c6
[Fix] Remove _delete_=True in optimizer
2022-06-20 17:53:36 +08:00
bb0b33dfed
[Refactor] Refactor metrics -> iou_metrics
2022-06-20 16:34:18 +08:00
ffa0616a68
[Refactory] KNet head
2022-06-20 04:04:48 +00:00
b23982d1b3
[Refactory] Refactory BaseSegmentor based BaseModel
2022-06-19 06:32:09 +00:00
4062e90206
[Fix] Remove OptimizerHook and Add it in OptimWrapper
2022-06-16 13:24:19 +00:00
11493c4851
[Fix] Fix no LoadAnnotations in testpipeline
2022-06-13 05:33:34 +00:00
34711422ac
[Fix] Fix batch size of val_dataloader to 1.
2022-06-12 09:10:26 +00:00
dd9c411335
[Refactor] Refactor decode_head and segmentors and add preprocess_cfg
2022-06-10 14:02:40 +00:00
6d80312c8f
[Fix] Fix DefaultSampler to InfiniteSampler
2022-06-10 13:13:16 +00:00
fcb9cb4571
[Refactor] Refactor lr_config
2022-06-08 09:25:00 +00:00
02677ac2f8
[Refactor] Refactor evaluation config, clean eval hook and metrics
2022-06-08 08:22:42 +00:00
c84a58b7b5
[Refactor] Refacor default_hooks and train & val & test loops in configs
2022-06-08 06:28:35 +00:00
5b9c29f992
[Refactor] Refactor Dataset and its Transform Config files
2022-05-31 14:28:42 +00:00
fcb948295c
[Enhancement] Revise RandomCrop
2022-05-27 21:52:49 +08:00
f6d3291064
[Refactor] Refactor RandomCrop and PhotoMetricDistortion
2022-05-25 01:58:37 +00:00
799486e124
[Fix] Fix main line link in MAE README.md ( #1556 )
2022-05-05 17:49:38 +08:00
9bc82388bc
Replace Arxiv with ICCV bibtex entry ( #1536 )
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* Replace Arxiv with ICCV bibtex entry
* Update configs/segmenter/README.md
Co-authored-by: MengzhangLI <mcmong@pku.edu.cn>
Co-authored-by: MengzhangLI <mcmong@pku.edu.cn>
2022-05-01 12:56:56 +08:00
43b8a1d8dc
[Feature]: Add MAE ( #1307 )
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* [Fix]: Fix lint
* [WIP]: Add mae seg config
* [Feature]: Add MAE seg
* [Fix]: Fix mae dataset img scale bug
* [Fix]: Fix lint
* [Feature]: Change mae config to mae_segmentation's config
* [Feature]: Add interpolate pe when loading
* [Fix]: Fix pos_embed not used bug
* [Fix]: Fix lint
* [Fix]: Init rel pos embed with zeros
* [Fix]: Fix lint
* [Fix]: Change the type name of backbone to MAE
* [Fix]: Delete ade20k_512x512.py
* [Fix]: Use mmseg provided ade20k.py
* [Fix]: Change 1 sample per gpu to 2 samples per gpu
* [Fix]: Fix conflict
* [Refactor]: Use the TransformerEncoderLayer of BEiT
* [Feature]: Add UT
* [Fix]: Change the default value of qv bias to False
* [Fix]: Initialize relative pos table with zeros
* [Fix]: Delete redundant code in mae
* [Fix]: Fix lint
* [Fix]: Rename qkv_bias to qv_bias
* [Fix]: Add docstring to weight_init of MAEAttention
* [Refactor]: Delete qv_bias param
* [Fix]: Add reference to fix_init_weight
* [Fix]: Fix lint
* [Fix]: Delete extra crop size
* [Refactor]: Rename mae
* [Fix]: Set bias to True
* [Fix]: Delete redundant params
* [Fix]: Fix lint
* [Fix]: Fix UT
* [Fix]: Add resize abs pos embed
* [Fix]: Fix UT
* [Refactor]: Use build layer
* [Fix]: Add licsense and fix docstring
* [Fix]: Fix docstring
* [Feature]: Add README metafile
* [Fix]: Change 640 to 512
* [Fix]: Fix README
* fix readme of MAE
Co-authored-by: MengzhangLI <mcmong@pku.edu.cn>
2022-04-28 00:54:20 +08:00
42fc9dfba0
[Fix] Revise high workers_per_gpus ( #1506 )
2022-04-25 13:19:47 +08:00
1c060ba2ae
migrate azure blob for beit checkpoints ( #1503 )
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We are going to use a new blob account to store the checkpoints.
2022-04-23 14:57:32 +08:00
10c0c24638
[Enhancement]Update checkpoint for model in deeplabv3plus ( #1487 )
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* [WIP]Update checkpoint for model in deeplabv3plus
* add aug test
* url fix
2022-04-21 20:15:34 +08:00
2a3083462e
[Feature] Provide URLs of Swin Transformer pretrained models ( #1389 )
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* [Feature] Provide URLs of Swin Transformer pretrained models
* [Feature] Add multi machine `dist_train`. (#1383 )
* Add training startup documentation
* fix
* fix
* fix
* fix
* fix
* fix
* fix
* fix
* fix
* delete pretrained=None in all six config files
* [Fix] make arguments effective in tools/confusion_matrix.py (#1401 )
* add an argument for customizing `title' of the output figure
* fix `color_theme' arguments not passing to plot function
Signed-off-by: code14 <mob5566@gmail.com>
* colab notebook: fix outdated link for doc (#1392 )
* colab notebook: fix outdated link for doc
Fixed outdated link for how to customize your datasets by reorganizing data.
* fix lint
* fix typo (#1405 )
* [Fix] Fix windows-style path in `md2yml.py` in Windows pre-commit. (#1407 )
* test
* avoid windows path
* [Fix] fix the config name style description (#1414 )
Co-authored-by: FangjianLin <93248678+linfangjian01@users.noreply.github.com>
Co-authored-by: Cody Wong <mob5566@gmail.com>
Co-authored-by: Nemo Xiong <xiongnemo@126.com>
Co-authored-by: Xiangxu-0103 <xuxiang0103@gmail.com>
Co-authored-by: Rockey <41846794+RockeyCoss@users.noreply.github.com>
2022-04-05 11:36:38 +08:00
df47283dc3
[Feature] Support Resnet strikes back ( #1390 )
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* [Feature] Support Resnet strikes back
* fix url
* [Feature] Add multi machine `dist_train`. (#1383 )
* Add training startup documentation
* fix
* fix
* fix
* fix
* fix
* fix
* fix
* fix
* fix
* modify R-50b rsb
Co-authored-by: FangjianLin <93248678+linfangjian01@users.noreply.github.com>
2022-04-05 11:34:53 +08:00
ea8556694b
[Fix] Fix some wrong urls of models or log in ./configs ( #1433 )
2022-03-30 21:06:14 +08:00
d1b8eae35e
[Feature] Add BEiT backbone ( #1404 )
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* [Feature] Add BEiT backbone
* fix
* fix
* fix
* fix
* add readme
* fix
* fix
* fix
* fix
* fix
* add link
* fix memory
* fix
* fix
* fix
* fix
* fix
* fix
* fix
* fix
* fix
* fix
* fix
* fix
* fix
* fix
* fix
* fix
* fix
* fix test_beit.py
* fix
* fix
* fix
* fix
* fix
* fix
* fix
* fix
* fix
* fix
* fix
* fix
* fix
* fix
2022-03-30 15:25:10 +08:00
054dc66145
[Feature] Support K-Net ( #1289 )
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* knet first commit
* fix import error in knet
* remove kernel update head from decoder head
* [Feature] Add kenerl updation for some decoder heads.
* [Feature] Add kenerl updation for some decoder heads.
* directly use forward_feature && modify other 3 decoder heads
* remover kernel_update attr
* delete unnecessary variables in forward function
* delete kernel update function
* delete kernel update function
* delete kernel_generate_head
* add unit test & comments in knet.py
* add copyright to fix lint error
* modify config names of knet
* rename swin-l 640
* upload models&logs and refactor knet_head.py
* modify docstrings and add some ut
* add url, modify docstring and add loss ut
* modify docstrings
2022-03-10 20:05:37 +08:00
f5e1f2e82d
[Feature] Provide URLs of STDC, Segmenter and Twins pretrained models ( #1357 )
2022-03-09 13:19:41 +08:00
c1d2ea345b
[Docs] Change ConvNeXt journal infomation ( #1350 )
2022-03-05 10:48:25 +08:00
67e0f9dd15
Bump v0.22.0 ( #1347 )
...
* change version to v0.22.0
* change version to v0.22.0
* add mmcls version in get_started.md
* add mmcls installation and move PR1299 into enhancement
* add mmcls installation and move PR1299 into enhancement
* remove MMCLS and make mmcv <=1.5.0 version in get_started.md
* fix typo
2022-03-04 22:17:29 +08:00
befdc93dc3
[Feature] Support ConvNext ( #1216 )
...
* upload original backbone and configs
* ConvNext Refactor
* ConvNext Refactor
* convnext customization refactor with mmseg style
* convnext customization refactor with mmseg style
* add ade20k_640x640.py
* upload files for training
* delete dist_optimizer_hook and remove layer_decay_optimizer_constructor
* check max(out_indices) < num_stages
* add unittest
* fix lint error
* use MMClassification backbone
* fix bugs in base_1k
* add mmcls in requirements/mminstall.txt
* add mmcls in requirements/mminstall.txt
* fix drop_path_rate and layer_scale_init_value
* use logger.info instead of print
* add mmcls in runtime.txt
* fix f string && delete
* add doctring in LearningRateDecayOptimizerConstructor and fix mmcls version in requirements
* fix typo in LearningRateDecayOptimizerConstructor
* use ConvNext models in unit test for LearningRateDecayOptimizerConstructor
* add unit test
* fix typo
* fix typo
* add layer_wise and fix redundant backbone.downsample_norm in it
* fix unit test
* give a ground truth lr_scale and weight_decay
* upload models and readme
* delete 'backbone.stem_norm' and 'backbone.downsample_norm' in get_num_layer()
* fix unit test and use mmcls url
* update md2yml.py and metafile
* fix typo
2022-03-04 15:52:01 +08:00
941d3619c0
[Fix] Upload complete STDC models ( #1332 )
2022-03-01 10:04:05 +08:00
59fa6f648c
[Fix] Update correct `In Collection` in metafile of each configs. ( #1239 )
...
* change md2yml file
* update metafile
* update twins In Collection automatically
* fix twins metafile
* fix twins metafile
* all metafile use value of Method
* update collect name
* update collect name
* fix some typo
* fix FCN D6
* change JPU to FastFCN
* fix some typos in DNLNet, NonLocalNet, SETR, Segmenter, STDC, FastSCNN
* fix typo in stdc
* fix typo in DNLNet and UNet
* fix NonLocalNet typo
2022-02-23 18:00:28 +08:00
a93423e1fd
[Feature] Support iSAID aerial dataset. ( #1115 )
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* support iSAID aerial dataset
* Update and rename docs/dataset_prepare.md to 博士/dataset_prepare.md
* Update dataset_prepare.md
* fix typo
* fix typo
* fix typo
* remove imgviz
* fix wrong order in annotation name
* upload models&logs
* upload models&logs
* add load_annotations
* fix unittest coverage
* fix unittest coverage
* fix correct crop size in config
* fix iSAID unit test
* fix iSAID unit test
* fix typos
* fix wrong crop size in readme
* use smaller figure as test data
* add smaller dataset in test data
* add blank in docs
* use 0 bytes pseudo data
* add footnote and comments for crop size
* change iSAID to isaid and add default value in it
* change iSAID to isaid in _base_
Co-authored-by: MengzhangLI <mcmong@pku.edu.cn>
2022-02-17 19:07:32 +08:00
66dec528c6
[Fix] Fix the bug that setr cannot load pretrain ( #1293 )
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* [Fix] Fix the bug that setr cannot load pretrain
* delete new pretrain
2022-02-17 16:25:17 +08:00
46898b8e8a
delete unnecessary lines of STDCHead ( #1231 )
2022-01-28 10:53:11 +08:00
ee47c41740
[Feature] Support Segmenter ( #955 )
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* segmenter: add model
* update
* readme: update
* config: update
* segmenter: update readme
* segmenter: update
* segmenter: update
* segmenter: update
* configs: set checkpoint path to pretrain folder
* segmenter: modify vit-s/lin, remove data config
* rreadme: update
* configs: transfer from _base_ to segmenter
* configs: add 8x1 suffix
* configs: remove redundant lines
* configs: cleanup
* first attempt
* swipe CI error
* Update mmseg/models/decode_heads/__init__.py
Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>
* segmenter_linear: use fcn backbone
* segmenter_mask: update
* models: add segmenter vit
* decoders: yapf+remove unused imports
* apply precommit
* segmenter/linear_head: fix
* segmenter/linear_header: fix
* segmenter: fix mask transformer
* fix error
* segmenter/mask_head: use trunc_normal init
* refactor segmenter head
* Fetch upstream (#1 )
* [Feature] Change options to cfg-option (#1129 )
* [Feature] Change option to cfg-option
* add expire date and fix the docs
* modify docstring
* [Fix] Add <!-- [ABSTRACT] --> in metafile #1127
* [Fix] Fix correct num_classes of HRNet in LoveDA dataset #1136
* Bump to v0.20.1 (#1138 )
* bump version 0.20.1
* bump version 0.20.1
* [Fix] revise --option to --options #1140
Co-authored-by: Rockey <41846794+RockeyCoss@users.noreply.github.com>
Co-authored-by: MengzhangLI <mcmong@pku.edu.cn>
* decode_head: switch from linear to fcn
* fix init list formatting
* configs: remove variants, keep only vit-s on ade
* align inference metric of vit-s-mask
* configs: add vit t/b/l
* Update mmseg/models/decode_heads/segmenter_mask_head.py
Co-authored-by: Miao Zheng <76149310+MeowZheng@users.noreply.github.com>
* Update mmseg/models/decode_heads/segmenter_mask_head.py
Co-authored-by: Miao Zheng <76149310+MeowZheng@users.noreply.github.com>
* Update mmseg/models/decode_heads/segmenter_mask_head.py
Co-authored-by: Miao Zheng <76149310+MeowZheng@users.noreply.github.com>
* Update mmseg/models/decode_heads/segmenter_mask_head.py
Co-authored-by: Miao Zheng <76149310+MeowZheng@users.noreply.github.com>
* Update mmseg/models/decode_heads/segmenter_mask_head.py
Co-authored-by: Miao Zheng <76149310+MeowZheng@users.noreply.github.com>
* model_converters: use torch instead of einops
* setup: remove einops
* segmenter_mask: fix missing imports
* add necessary imported init funtion
* segmenter/seg-l: set resolution to 640
* segmenter/seg-l: fix test size
* fix vitjax2mmseg
* add README and unittest
* fix unittest
* add docstring
* refactor config and add pretrained link
* fix typo
* add paper name in readme
* change segmenter config names
* fix typo in readme
* fix typos in readme
* fix segmenter typo
* fix segmenter typo
* delete redundant comma in config files
* delete redundant comma in config files
* fix convert script
* update lateset master version
Co-authored-by: MengzhangLI <mcmong@pku.edu.cn>
Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>
Co-authored-by: Rockey <41846794+RockeyCoss@users.noreply.github.com>
Co-authored-by: Miao Zheng <76149310+MeowZheng@users.noreply.github.com>
2022-01-26 13:50:51 +08:00
80e8504956
[Doc] Update `README.md` in configs according to latest standard. ( #1233 )
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* fix README.md in configs
* fix README.md in configs
* modify [ALGORITHM] to [BACKBONE] in backbone config README.md
2022-01-25 20:45:39 +08:00
fe42371297
[Feature] Support ISPRS Vaihingen Dataset. ( #1171 )
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* Add Vaihingen
* upload models&logs of vaihingen
* fix unit test
* fix dataset pipeline
* fix unit test coverage
* fix vaihingen docstring
2022-01-22 20:27:51 +08:00
634fbceab0
[Feature] Support ISPRS Potsdam Dataset. ( #1097 )
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* add isprs potsdam dataset
* add isprs dataset configs
* fix lint error
* fix potsdam conversion bug
* fix error in potsdam class
* fix error in potsdam class
* add vaihingen dataset
* add vaihingen dataset
* add vaihingen dataset
* fix some description errors.
* fix some description errors.
* fix some description errors.
* upload models & logs of Potsdam
* remove vaihingen and add unit test
* add chinese readme
* add pseudodataset
* use mmcv and add class_names
* use f-string
* add new dataset unittest
* add docstring and remove global variables args
* fix metafile error in PSPNet
* fix pretrained value
* Add dataset info
* fix typo
Co-authored-by: MengzhangLI <mcmong@pku.edu.cn>
2022-01-18 14:15:15 +08:00
032b18a405
[Fix] stdc1 weight download link ( #1206 )
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* fix stdc1 download link
* fix stdc1 download link
2022-01-17 13:59:13 +08:00
5b360d9ab1
[Fix] Fix mobilenetv3 paper link. #1193
2022-01-11 12:27:55 +08:00
2b4076add8
[Fix] Add note in UNet readme.md #1163
2021-12-24 23:29:59 +08:00
f3cd764f55
[Feature] Add UNet benchmark with multiple losses supervision ( #1143 )
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* upload models and new configs
* fix hrf readme error
* fix hrf readme error
* add mDice of old models
* refactor configs
2021-12-23 21:38:51 +08:00
6a7db50ac0
[Feature] Add segformer‘s benchmark on cityscapes ( #1155 )
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* add segformer cityscapes' benchmark
* Update configs/segformer/README.md
Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>
Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>
2021-12-23 15:42:42 +08:00
f0d47000fc
[Fix] Fix correct num_classes of HRNet in LoveDA dataset #1136
2021-12-14 19:49:24 +08:00
e2ff55d28a
[Fix] Add <!-- [ABSTRACT] --> in metafile #1127
2021-12-14 19:12:56 +08:00
c1e72513c9
[Feature] Support STDC Network (new) ( #995 )
...
* refactor stdc code
* update key
* fix backbone inference
* remove comments
* fixing errors
* fixing version conflict
* fux typo
* use STDCHead
* upload models&logs
* adding model converters script and fix unittest
* fix error
* fix error
* fix error
* delete redundant keys in config
* fix errors in configs and unittest
* fix errors in configs and unittest
* fix errors in configs and unittest
* change Memory name
* refactor stdc2mmseg
* change name to STDC
* refactor stdc
* refactor stdc
* stdc refactor
* stdc refactor
* stdc refactor
* stdc refactor
* stdc refactor
* stdc refactor
* refactor stdc
* stdc refactor
Co-authored-by: xiexinch <xinchen.xie@qq.com>
2021-12-10 23:09:32 +08:00
cd246e3635
[Feature] Support Twins (NeurIPS2021) ( #989 )
...
* debug
* debug
* debug
* this is a debug step, and needs to be recovered
* need recover
* git
* debug
* git
* git
* git
* git
* git
* git
* debug need recover
* debug
* git
* debug
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* debug
* debug
* debug
* debugf
* debug
* debug
* debug
* debug
* debug
* debug
* debug
* debug
* git
* git
* git
* use config small/base/large
* debug
* debug
* git
* debug
* git
* debug
* debug
* debug args
* debug
* debug
* git
* git
* debug
* git
* git
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* git
* debug
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* git
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* git
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* git
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* git
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* git
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* git
* debug
* debug
* debug
* Please enter the commit message for your changes. Lines starting
* git
* git
* debug
* debug
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* git
* git
* debug
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* debug
* debug
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* debug
* debug
* git
* debug
* debug
* debug
* debug
* debug
* debug
* debug
* git
* fix pre-commit error
* fix error
* git
* git
* git
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* fix unittest error
* fix config errors
* fix twins2mmseg bug
* git
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* fix init_weights() in twins.py
* git
* git
* git
* git
* fix comment
* fix comment
* fix comment
* fix comment
* fix unit test coverage in TwinsPR
* Add Twins README
* Add Twins README
* twins refactor
* twins refactor
* delete init_cfg in FFN
* delete init_cfg in FFN
* Update mmseg/models/backbones/twins.py
* Update mmseg/models/backbones/twins.py
* Update mmseg/models/backbones/twins.py
Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>
* Update mmseg/models/backbones/twins.py
* add conference name
Co-authored-by: linxinyang <linxinyang@meituan.com>
Co-authored-by: MengzhangLI <mcmong@pku.edu.cn>
Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>
2021-12-09 19:18:10 +08:00
limengzhang.vendor
zhengmiao
MengzhangLI
linfangjian01
linfangjian.vendor
MeowZheng
Sebastian
Yuan Liu
Miao Zheng
Li Dong
FangjianLin
Waterman0524
Rockey
rstrudel
Kingdrone
BeaverCC
Lxinyang