057155d3ab
[Feature] add bdd100K datasets ( #3158 )
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## Motivation
Integrate [BDD100K](https://paperswithcode.com/dataset/bdd100k ) dataset.
It shares the same classes as Cityscapes, and it's commonly used for
evaluating segmentation/detection tasks in driving scenes, such as in
[RobustNet](https://arxiv.org/abs/2103.15597 ),
[WildNet](https://github.com/suhyeonlee/WildNet ).
Enhancement for Add BDD100K Dataset #2808
---------
Co-authored-by: xiexinch <xiexinch@outlook.com>
2023-07-14 10:09:16 +08:00
ac78b1308d
[Fix] Fix train map path for coco-stuff164k.py ( #3187 )
2023-07-12 15:29:45 +08:00
e4c1865a82
Bump1.1 ( #3140 )
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Co-authored-by: CSH <40987381+csatsurnh@users.noreply.github.com>
2023-07-04 11:11:30 +08:00
ffb7e2e239
[Fix] Fix dependency ( #3136 )
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## Motivation
Change the dependency `mmcls` to `mmpretrain`
## Modification
- modify `mmcls` to `mmpretrain`
- modify CI requirements
## BC-breaking (Optional)
If users have installed mmcls but not install mmpretrain, it might raise some error.
2023-06-26 16:02:37 +08:00
77591b9e7b
[Feature] Add GDAL backend and Support LEVIR-CD Dataset ( #2903 )
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## Motivation
For support with reading multiple remote sensing image formats, please
refer to https://gdal.org/drivers/raster/index.html .
Byte, UInt16, Int16, UInt32, Int32, Float32, Float64, CInt16, CInt32,
CFloat32 and CFloat64 are supported for reading and writing.
Support input of two images for change detection tasks, and support the
LEVIR-CD dataset.
## Modification
Add LoadSingleRSImageFromFile in 'mmseg/datasets/transforms/loading.py'.
Load a single remote sensing image for object segmentation tasks.
Add LoadMultipleRSImageFromFile in
'mmseg/datasets/transforms/loading.py'.
Load two remote sensing images for change detection tasks.
Add ConcatCDInput in 'mmseg/datasets/transforms/transforms.py'.
Combine images that have been separately augmented for data enhancement.
Add BaseCDDataset in 'mmseg/datasets/basesegdataset.py'
Base class for datasets used in change detection tasks.
---------
Co-authored-by: xiexinch <xiexinch@outlook.com>
2023-05-08 20:09:33 +08:00
8c89ff3dd1
[Datasets] Add Mapillary Vistas Datasets to MMSeg Core Package. ( #2576 )
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## [Datasets] Add Mapillary Vistas Datasets to MMSeg Core Package .
## Motivation
Add Mapillary Vistas Datasets to core package.
Old PR #2484
## Modification
- Add Mapillary Vistas Datasets to core package.
- Delete `tools/datasets_convert/mapillary.py` , dataset does't need
converting.
- Add `schedule_240k.py` config.
- Add configs files.
```none
deeplabv3plus_r101-d8_4xb2-240k_mapillay_v1-512x1024.py
deeplabv3plus_r101-d8_4xb2-240k_mapillay_v2-512x1024.py
maskformer_swin-s_4xb2-240k_mapillary_v1-512x1024.py
maskformer_swin-s_4xb2-240k_mapillary_v2-512x1024.py
maskformer_r101-d8_4xb2-240k_mapillary_v1-512x1024.py
maskformer_r101-d8_4xb2-240k_mapillary_v2-512x1024.py
pspnet_r101-d8_4xb2-240k_mapillay_v1-512x1024.py
pspnet_r101-d8_4xb2-240k_mapillay_v2-512x1024.py
```
- Synchronized changes to `projects/mapillary_datasets`
---------
Co-authored-by: Miao Zheng <76149310+MeowZheng@users.noreply.github.com>
Co-authored-by: xiexinch <xiexinch@outlook.com>
2023-03-15 14:44:38 +08:00
039ba5d4ca
[Feature] Support auto import modules from registry. ( #2481 )
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## Motivation
The registry now supports auto-import modules from the given location.
register_all_modules before running is no longer needed. The modules
will be lazy-imported during building.
- [x] This PR can be merged after
https://github.com/open-mmlab/mmengine/pull/643 . The MMEngine version
should be updated.
Ref: https://github.com/open-mmlab/mmdetection/pull/9143
2023-02-23 20:33:17 +08:00
a947e3e754
[FIx] Set default `backend_args` values to None ( #2597 )
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## Motivation
In MMEngine >= 0.2.0, it might directly determine what the backend is by
using the `data_root` path.
## Modification
Set all default `backend_args` values are `None`.
2023-02-16 15:33:52 +08:00
49b062e365
CodeCamp #139 [Feature] Support REFUGE dataset. ( #2554 )
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## Motivation
Add REFUGE datasets
Old PR: https://github.com/open-mmlab/mmsegmentation/pull/2420
---------
Co-authored-by: MengzhangLI <mcmong@pku.edu.cn>
2023-02-03 16:02:19 +08:00
124b87ce90
[Refactor] Refactor fileio ( #2543 )
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## Motivation
Use the new fileio from mmengine
https://github.com/open-mmlab/mmengine/pull/533
## Modification
1. Use `mmengine.fileio` to repalce FileClient in mmseg/datasets
2. Use `mmengine.fileio` to repalce FileClient in
mmseg/datasets/transforms
3. Use `mmengine.fileio` to repalce FileClient in mmseg/visualization
## BC-breaking (Optional)
we modify all the dataset configurations, so please use the latest config file.
2023-02-01 17:53:22 +08:00
2d67e51db3
CodeCamp #140 [New] [Feature] Add synapse dataset and data augmentation in dev-1.x. ( #2432 )
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## Motivation
Add Synapse dataset in MMSegmentation.
Old PR: https://github.com/open-mmlab/mmsegmentation/pull/2372 .
2023-01-06 16:14:54 +08:00
da4125587e
[Refactor] Support TTA ( #2184 )
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* tta init
* use mmcv transform
* test city
* add multiscale
* fix merge
* add softmax to post process
* add ut
* add tta pipeline to other datasets
* remove softmax
* add encoder_decoder_tta ut
* add encoder_decoder_tta ut
* rename
* rename file
* rename config
* rm aug_test
* move flip to post process
* fix channel
2022-12-30 22:52:07 +08:00
25604a151b
[Feature] Support PoolFormer in MMSegmentation 2.0 ( #2191 )
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* [Feature] 2.0 PoolFormer
* fix mmcls version
* fix ut error
* fix ut
* fix ut
2022-10-19 13:08:07 +08:00
adec7f2d65
[Fix] Add `by_epoch=False` for log processor ( #1987 )
2022-08-29 12:05:58 +08:00
03405dcbb6
fix logger cfg ( #1894 )
2022-08-19 20:50:03 +08:00
c498e6f593
[Fix] Add SegVisualizationHook in default hooks ( #1900 )
2022-08-09 23:33:04 +08:00
e4b9d72a11
[Fix] 2.0 Fix mDice metric for medical datasets ( #1864 )
2022-08-04 18:32:52 +08:00
7369d50049
[Fix] Fix SegLocalVisualizer gt_sem_seg cuda tensor error ( #1845 )
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* [Fix] Fix SegLocalVisualizer gt_sem_seg cuda tensor error
* fix ut error and add config visualizer dict
* fix ut error
2022-08-01 15:03:01 +08:00
b852f2605a
[Fix] Fix RandomResize default setting
2022-07-06 06:04:40 +00:00
f2bac79f03
[Refactor] Refactor DatasetWrapper
2022-06-27 14:36:18 +00:00
bb0b33dfed
[Refactor] Refactor metrics -> iou_metrics
2022-06-20 16:34:18 +08:00
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
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
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
f5e1f2e82d
[Feature] Provide URLs of STDC, Segmenter and Twins pretrained models ( #1357 )
2022-03-09 13:19:41 +08:00
befdc93dc3
[Feature] Support ConvNext ( #1216 )
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* 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
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
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
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
c1e72513c9
[Feature] Support STDC Network (new) ( #995 )
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* 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 )
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* 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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* debugf
* debug
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* debug
* git
* git
* git
* use config small/base/large
* debug
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* git
* debug
* git
* debug
* debug
* debug args
* debug
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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
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* debug
* git
* debug
* debug
* debug
* debug
* debug
* debug
* debug
* git
* fix pre-commit error
* fix error
* git
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* debug
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* fix unittest error
* fix config errors
* fix twins2mmseg bug
* git
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* git
* 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
6a3c31ae3f
[Feature] add setr cityscapes benchmark ( #1087 )
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* [Feature] add setr cityscapes benchmark
* change pretrain
* Update configs/_base_/datasets/cityscapes_768x768.py
Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>
* remove redundant keys
* remove redundant keys
* fix lint error
* update readme
* update pretrain
Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>
2021-12-03 00:18:50 -08:00
6a2cfea73b
[Feature] Support Real-time model ERFNet ( #960 )
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* first commit
* Fixing Unittest Error
* first refactory of ERFNet
* Refactorying NonBottleneck1d Module
* uploading models&logs
* uploading models&logs
* fix partial bugs & typos
* ERFNet
* add ERFNet with FCNHead
* fix typos of ERFNet
* add name on README.md cover
* chane name to T-ITS'2017
* fix lint error
2021-12-01 23:54:39 -08:00
48d4222412
[Feature] Support LoveDA dataset ( #1028 )
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* update LoveDA dataset api
* revised lint errors in dataset_prepare.md
* revised lint errors in loveda.py
* revised lint errors in loveda.py
* revised lint errors in dataset_prepare.md
* revised lint errors in dataset_prepare.md
* checked with isort and yapf
* checked with isort and yapf
* checked with isort and yapf
* Revert "checked with isort and yapf"
This reverts commit 686a51d9b877e121bb2289e27c159db2f8159db2f8
2021-11-24 19:41:19 +08:00
a9d1295bc3
[Feature] Support FastFCN ( #885 )
...
* FastFCN first commit
* FastFCN first commit
* Fixing lint error
* Fixing lint error
* use for loop on JPU
* Use For Loop
* Refactor FastFCN
* FastFCN
* FastFCN
* temp
* Uploading models & logs (4x4)
* Fixing typos
* fix typos
* rename config
* change README.md
* use _delete_=True
* change configs
* change start_level to 0
* change start_level to 0
* jpu
* add unittest for start_level!=0
2021-10-01 02:41:24 +08:00
7db1cbb181
[Feature] Support ICNet ( #884 )
...
* add icnet backbone
* add icnet head
* add icnet configs
* nclass -> num_classes
* Support ICNet
* ICNet
* ICNet
* Add ICNeck
* Add ICNeck
* Add ICNeck
* Add ICNeck
* Adding unittest
* Uploading models & logs
* Uploading models & logs
* add comment
* smaller test_swin.py
* try to delete test_swin.py
* delete test_unet.py
* delete test_unet.py
* temp
* smaller test_unet.py
Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>
2021-09-30 09:31:57 -07:00
7edc71d532
[Improvement] Refactor Swin-Transformer ( #800 )
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* [Improvement] Refactor Swin-Transformer
* fixed swin test
* update patch emebd, add more tests
* fixed test
* remove pretrain_style
* fixed padding
* resolve coments
* use mmcv 2tuple
* refactor init_cfg
Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>
2021-09-29 08:46:33 +08:00
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