3bbdd6dc4a
[Fix] Fix unit test image file path error ( #1835 )
2022-07-28 16:30:29 +08:00
6873f9ece8
[Feature] Add SegVisualizer ( #1792 )
...
* [Feature] Add SegVisualizer
* change name to visualizer_example
* fix typo
* refactor folder structure
2022-07-27 16:28:09 +08:00
6758b148b3
[Fix] Fix DATASETS not imported error ( #1827 )
2022-07-26 14:46:59 +08:00
3cf2bbda2a
[Fix] Change CustomDataset to BaseSegDataset ( #1791 )
2022-07-26 12:01:40 +08:00
ba4d1d62aa
[Feature] Add LoadImageFromNdArray pipeline ( #1810 )
...
* add load image from ndarray pipeline
* fix import
2022-07-22 19:40:00 +08:00
4de57b49c5
[Fix] Fix register_all_modules and imports ( #1793 )
...
* [Fix] Fix register_all_modules and imports
* fix transforms import
2022-07-21 22:44:42 +08:00
4b76f277a6
[Refactory] MMSegmentation Content
2022-07-15 15:47:29 +00:00
89d6f89dfc
Merge branch 'linfangjian/refactor_citysmetric' into 'refactor_dev'
...
[Refactor] Refactor cityscapes metrics
See merge request openmmlab-enterprise/openmmlab-ce/mmsegmentation!46
2022-06-28 03:21:33 +00:00
6053345b3d
[Refactor] Refactor cityscapes metrics
2022-06-28 03:21:33 +00:00
f2bac79f03
[Refactor] Refactor DatasetWrapper
2022-06-27 14:36:18 +00:00
b23982d1b3
[Refactory] Refactory BaseSegmentor based BaseModel
2022-06-19 06:32:09 +00:00
6ca42737b6
[Fix] Fix pred
2022-06-14 02:53:46 +00:00
11493c4851
[Fix] Fix no LoadAnnotations in testpipeline
2022-06-13 05:33:34 +00:00
dd9c411335
[Refactor] Refactor decode_head and segmentors and add preprocess_cfg
2022-06-10 14:02:40 +00:00
f59ef99b00
[Fix]Add label_map and reduce_zero_label in metainfo of dataset and deprecate reduce_zero_label in load annotation
2022-06-09 12:23:36 +00:00
593229eb16
[Refactor] Refactor IoU metrics
2022-06-02 14:15:28 +00:00
478da81c8b
[Fix] Optimizer-> OptimWrapper
2022-06-02 05:19:36 +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
1ad7bdcb5a
[Feature] Add default scope and register modules
2022-05-27 20:57:38 +08:00
1af338e496
[Refactory] Dataset refactory
2022-05-26 09:13:40 +00:00
baaf9a4742
[Refactor] Add PackSegInputs and some Transforms
2022-05-26 03:06:02 +00:00
f6d3291064
[Refactor] Refactor RandomCrop and PhotoMetricDistortion
2022-05-25 01:58:37 +00:00
30d75b75eb
[Refactor] Add SegDataSample
2022-05-16 11:31:46 +00:00
7a32d610e4
[Refactor] Refactor all registries
2022-05-10 12:15:20 +00:00
35c695bba7
[Refactory] Clean UTs
2022-05-09 10:29:38 +00:00
28b42597a1
[Enhancement]Revise docstring and UT for layer decay LR ( #1540 )
...
* fix docstring
* fix ut for optimizer cosntructor
2022-05-01 13:13:53 +08:00
43b8a1d8dc
[Feature]: Add MAE ( #1307 )
...
* [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
7c3bf22885
[Refactory] Merge BEiT and ConvNext 's LR decay optimizer constructors ( #1438 )
...
* move layer_decay_optimizer_constructor
* fix
* fix
* merge test_core
* fix
* add DeprecationWarning
* fix DeprecationWarning
* fix
* fix
* fix
* fix
* fix
* fix
* fix
* fix
* fix
* fix
* fix
* fix
* fix test
* fix
* fix
* fix
* fix
* fix ut
* fix
* fix
* Update tests/test_core/test_layer_decay_optimizer_constructor.py
* fix
* fix
* fix
* fix
Co-authored-by: MeowZheng <meowzheng@outlook.com>
Co-authored-by: Miao Zheng <76149310+MeowZheng@users.noreply.github.com>
2022-04-27 10:43:25 +08:00
e4b3604e50
[Fix] Register optimizer constructor with mmseg ( #1456 )
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* [fix] register optimizer onstructor with mmseg
* fix lint
* fix
* fix
* fix
* fix
* fix
* fix
* fix
* fix
* fix
* fix
* fix
* fix
* fix
* fix
* Update tests/test_core/test_optimizer.py
* Update tests/test_core/test_optimizer.py
* Update tests/test_core/test_optimizer.py
* Update tests/test_core/test_optimizer.py
* fix lint
Co-authored-by: Miao Zheng <76149310+MeowZheng@users.noreply.github.com>
2022-04-16 16:45:17 +08:00
23b7cfc59d
[Fix] Support single cahnnel `pred` for Binary Cross Entropy Loss ( #1454 )
...
* [Fix] Fix the bug that binary cross entropy loss doesn't support single channel input
* imcrease coverage
* modify implementation
* increase coverage
* add assert
* modify implementation
* enshollow condition judge
* fix
2022-04-14 11:26:02 +08:00
7b6953fd5f
[Feature] Add with cp to mit and vit ( #1431 )
...
* add with cp to mit and vit
* add test unit
Co-authored-by: jiangyitong <jiangyitong1@sensetime.com>
2022-04-01 21:01:45 +08:00
cc89c8d18d
[Fix] Add avg_non_ignore in cross entropy loss ( #1409 )
...
* [Fix] Add avg_non_ignore in cross entropy loss
* [Fix] Add avg_non_ignore in cross entropy loss
* add docstring
* fix ut
* fix docstring and comments
* fix
* fix bce
* fix avg_factor in BCE and add more ut
* add avg_non_ignore
* add more ut
* fix part of ut
* fix part of ut
* test avg_non_ignore would not affect ce/bce when reduction none/sum
* test avg_non_ignore would not affect ce/bce when reduction none/sum/mean
* re-organize ut
* re-organize ut
* re-organize ut
* re-organize hardcode case
* fix parts of comments
* fix another parts of comments
* fix
2022-03-30 18:32:47 +08:00
d1b8eae35e
[Feature] Add BEiT backbone ( #1404 )
...
* [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
42df28c7bd
[Feature] add nlc2nchw2nlc and nchw2nlc2nchw ( #1249 )
...
* [Feature] add nlc2nchw2nlc and nchw2nlc2nchw
* add example
* add test, add **kwargs to make it more universal
2022-03-10 20:27:28 +08:00
054dc66145
[Feature] Support K-Net ( #1289 )
...
* 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
6665b42159
[Fix] Fix the bug that when all pixels in an image is ignored, the ac… ( #1336 )
...
* [Fix] Fix the bug that when all pixels in an image is ignored, the accuracy calculation raises ZeroDivisionError
* use eps
* all close
* add ignore test
* add eps
2022-03-09 13:20:46 +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
38df41ea19
[Feature] Add `min_size` arg in `Resize` to keep the shape after resize bigger than slide window ( #1318 )
...
* [Feature] add setr_resize
* fix a bug
* fix
* fix
* fix
* fix
* fix
* fix
* fix
* fix
* fix
* fix
* fix
* fix
* fix
2022-03-01 16:25:48 +08:00
b97cfa77d2
[Enhancement] Revise pre-commit-hooks ( #1315 )
2022-02-23 23:44:27 +08:00
a93423e1fd
[Feature] Support iSAID aerial dataset. ( #1115 )
...
* 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
304df56c78
[Fix] Add Pytorch HardSwish assertion in unit test ( #1294 )
...
* assert original HardSwish when PyTorch > 1.6 in unit test
* assert original HardSwish when PyTorch > 1.6 in unit test
* assert original HardSwish when PyTorch > 1.6 in unit test
* assert original HardSwish when PyTorch > 1.6 in unit test
* assert original HardSwish when PyTorch > 1.6 in unit test
* assert original HardSwish when PyTorch > 1.6 in unit test
2022-02-16 19:47:58 +08:00
4d451a09dc
[Fix] Make accuracy take into account ignore_index ( #1259 )
...
* make accuracy take into account ignore_index
* add UT for accuracy
2022-02-15 00:39:59 +08:00
d4f5bb25fc
[Enhancement] Upgrade isort in pre-commit hook ( #1270 )
2022-02-08 19:06:33 +08:00
2729a6d4d1
add multi-processes script ( #1238 )
2022-01-27 21:18:55 +08:00
ee47c41740
[Feature] Support Segmenter ( #955 )
...
* 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
fe42371297
[Feature] Support ISPRS Vaihingen Dataset. ( #1171 )
...
* 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
4c72157cdd
[Fix] Improve MultiImageMixDataset unittests coverage ( #1197 )
...
* Fix typo in usage example
* original MultiImageMixDataset code in mmdet
* Add MultiImageMixDataset unittests in test_dataset_wrapper
* fix lint error
* fix value name ann_file to ann_dir
* modify retrieve_data_cfg (#1 )
* remove dynamic_scale & add palette
* modify retrieve_data_cfg method
* modify retrieve_data_cfg func
* fix error
* improve the unittests coverage
* fix unittests error
* Dataset (#2 )
* add cfg-options
* Add unittest in test_build_dataset
* add blank line
* add blank line
* add a blank line
Co-authored-by: Miao Zheng <76149310+MeowZheng@users.noreply.github.com>
* [Fix] Add MultiImageMixDataset unittests
Co-authored-by: Younghoon-Lee <72462227+Younghoon-Lee@users.noreply.github.com>
Co-authored-by: MeowZheng <meowzheng@outlook.com>
Co-authored-by: Miao Zheng <76149310+MeowZheng@users.noreply.github.com>
2022-01-22 18:13:34 +08:00
bdecbdbdf1
[Fix] Add `COCOStuffDataset` in `class_names.py`. ( #1222 )
...
* add cocostuff in class_names
* add more class names
2022-01-22 18:03:24 +08:00
634fbceab0
[Feature] Support ISPRS Potsdam Dataset. ( #1097 )
...
* 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
MengzhangLI
谢昕辰
Miao Zheng
zhengmiao
linfangjian.vendor
limengzhang.vendor
MeowZheng
Yuan Liu
FangjianLin
Rockey
jiangyitong
Waterman0524
Hyeokjoon Kwon
rstrudel
Kyungmin Lee
Kingdrone