MengzhangLI
c76dbe70c9
[Fix] Fix type in Swin Transformer ( #1274 )
2022-05-05 22:09:25 +08:00
chingning.chen
0136a5b2bd
style: fix format so pep8 is satisfied
2022-04-12 14:26:54 +08:00
EricChunYi
f02cdeae3d
use shorter kneron license line
2022-04-11 11:48:31 +08:00
EricChunYi
577de6d968
add kneron license for kneron modified code
2022-04-11 11:15:29 +08:00
chingning.chen
fbfe81c815
feat: init_segmentor_kn, inference_segmentor_kn, show_result
2022-03-30 12:23:58 +08:00
chingning.chen
0563dd8847
tmp
2022-03-30 10:28:54 +08:00
chingning.chen
7576467aa1
refactor: remove final resize node from onnx; resize on app side
2022-03-29 17:59:50 +08:00
chingning.chen
dcac233a60
fix: shape assignment for deploy_test_kneron and pytorch2onnx_kneron
2022-03-29 17:43:55 +08:00
chingning.chen
b83243c5f4
feat: slide mode for kneron onnx
2022-03-23 17:58:23 +08:00
chingning.chen
b2246495f5
refactor: not using MMDataParallel for onnx inferencing
2022-03-23 17:02:03 +08:00
chingning.chen
12c840564e
refactor: run_with_iobinding -> run
2022-03-23 15:56:01 +08:00
chingning.chen
f824495134
fix: onnx inference wrong indexing bug
2022-03-23 10:28:58 +08:00
chingning.chen
3f2c7b18be
feat: ONNXRuntimeSegmentorKN
2022-03-21 17:00:04 +08:00
Jerry Jiarui XU
82a80880d2
[Improve] Add exception for PointRend for support CPU-only usage ( #1271 )
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* [Improve] Add exception for PointRend for support CPU-only usage
* fixed linting
2022-02-09 00:52:56 -05:00
Jerry Jiarui XU
66b778c064
[Improve] Use MMCV load_state_dict func in ViT/Swin ( #1272 )
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* [Improve] Use MMCV load_state_dict func in ViT/Swin
* use CheckpointLoader instead
2022-02-09 00:52:42 -05:00
MengzhangLI
02d2790145
delete unnecessary lines of STDCHead ( #1231 )
2022-01-28 10:53:11 +08:00
rstrudel
cb1bf9f372
[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
jbwang1997
98a353b674
[Fix] Set random seed for generating palette if not given. ( #1152 )
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* Fix colors
* fix comments
* Add comments
* Add comments. Add random seed in datasets
2021-12-23 09:51:50 +08:00
MengzhangLI
5783bc1d99
[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
Lxinyang
793e082eeb
[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
* debug
* debug
* debug
* debug
* 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
* git
* git
* git
* debug
* debug
* git
* debug
* git
* debug
* debug
* debug
* debug
* git
* debug
* git
* git
* debug
* debug
* git
* git
* git
* git
* debug
* debug
* debug
* debug
* git
* debug
* debug
* git
* git
* debug
* debug
* git
* debug
* debug
* debug
* git
* debug
* debug
* debug
* Please enter the commit message for your changes. Lines starting
* git
* git
* debug
* debug
* debug
* git
* git
* debug
* debug
* debug
* debug
* debug
* debug
* debug
* debug
* debug
* debug
* debug
* git
* debug
* debug
* debug
* debug
* debug
* debug
* debug
* git
* fix pre-commit error
* fix error
* git
* git
* git
* git
* git
* git
* debug
* debug
* debug
* debug
* debug
* debug
* git
* debug
* debug
* debug
* debug
* debug
* debug
* debug
* debug
* debug
* git
* git
* git
* debug
* debug
* debug
* git
* git
* git
* git
* git
* git
* git
* git
* git
* debug
* git
* git
* git
* git
* git
* git
* git
* git
* git
* git
* git
* git
* git
* git
* git
* git
* git
* git
* git
* git
* git
* git
* git
* git
* git
* git
* git
* git
* git
* git
* fix unittest error
* fix config errors
* fix twins2mmseg bug
* git
* git
* git
* git
* git
* git
* git
* git
* git
* git
* git
* git
* git
* git
* git
* git
* git
* git
* git
* git
* git
* git
* git
* 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
Rockey
c23e902896
[Fix] Fix the bug that mit cannot process init_cfg ( #1102 )
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* [Fix] Fix the bug that mit cannot process init_cfg
* fix error
2021-12-08 23:17:43 -08:00
Rockey
a672c0563f
[Fix] Remove the inplace operation in uper_head and fpn_neck ( #1103 )
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* [Fix] Remove the inplace operation in uper_head
* remove the inplace operation in fpn neck
* fix conflict
* increase the coverage
2021-12-09 12:12:31 +08:00
Han Zhang
f8ed148fb4
[Fix] Fix dist training infinite waiting issue ( #1035 )
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* [#1034 ] fix dist training infinite waiting issue
* print log_vars keys in assertion msg
* linting issue
2021-12-08 21:02:41 +08:00
KangBK0120
ec0377328d
[Fix] Remove unexist arg in docstring #1106
2021-12-06 20:03:25 +08:00
Junjun2016
3057ef6d9b
[Fix] Fix wrong init usage in transformer models ( #1069 )
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* fix wrong trunc_normal_init usage
* fix mit init weights
* fix vit init weights
* fix mit init weights
* fix typo
* fix swin init weights
2021-12-06 19:59:33 +08:00
Rockey
1b41989934
[Feature] Add focal loss ( #1024 )
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* [Feature] add focal loss
* fix the bug of 'non' reduction type
* refine the implementation
* add class_weight and ignore_index; support different alpha values for different classes
* fixed some bugs
* fix bugs
* add comments
* modify test
* Update mmseg/models/losses/focal_loss.py
Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>
* update test_focal_loss.py
* modified the implementation
* Update mmseg/models/losses/focal_loss.py
Co-authored-by: Jerry Jiarui XU <xvjiarui0826@gmail.com>
* update focal_loss.py
Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>
Co-authored-by: Jerry Jiarui XU <xvjiarui0826@gmail.com>
2021-12-03 00:18:40 -08:00
MengzhangLI
ff1e2d8ef7
[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
Junjun2016
d665f6b085
fix EfficientMultiheadAttention in SegFormer ( #1037 )
2021-11-15 04:33:28 +08:00
Rockey
7a1c9a5499
[Fix] Fix the bug that vit cannot load pretrain properly when using i… ( #999 )
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* [Fix] Fix the bug that vit cannot load pretrain properly when using init_cfg to specify the pretrain scheme
* [Fix] fix the coverage problem
* Update mmseg/models/backbones/vit.py
Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>
* [Fix] make the predicate more concise and clearer
* [Fix] Modified the judgement logic
* Update tests/test_models/test_backbones/test_vit.py
Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>
* add comments
Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>
2021-11-03 10:36:09 -07:00
Junjun2016
54435fb149
[Feature] Support TIMMBackbone ( #998 )
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* add TIMMBackbone and unittests
* add timm to tests requirements
* deprecate pt1.3.1
* reduce the unittests input of timm backbone
* fix ci
* fix ci
* fix ci
* fix ci
* fix ci
* fix ci
* fix ci
* fix ci
* fix ci
* remove unittests of large models of timm backbone
* generate coverage report for all unittests env
* reduce the unittests input of timm backbone
* reduce the unittests input of timm backbone
2021-11-02 12:51:11 +08:00
MengzhangLI
349fc2d812
[Fix] Change self.loss_decode back to dict in Single Loss situation. ( #1002 )
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* fix single loss type
* fix error in ohem & point_head
* fix coverage miss
* fix uncoverage error of PointHead loss
* fix coverage miss
* fix uncoverage error of PointHead loss
* nn.modules.container.ModuleList to nn.ModuleList
* more simple format
* merge unittest def
2021-11-01 15:28:37 +08:00
Yuan Haobo
93f8b142a3
vit contiguous ( #992 )
2021-10-25 18:11:48 +08:00
Junjun2016
54bd4bdd82
[Enhancement] Add codespell pre-commit hook and fix typos ( #920 )
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* add codespell pre-commit hook and fix typos
* Update mmseg/models/decode_heads/dpt_head.py
* Update mmseg/models/backbones/vit.py
* Update mmseg/models/backbones/vit.py
* fix typos
* skip formating typo
* deprecate formating
* skip ipynb
* unstage ipynb changes
* unstage ipynb changes
* fix typos in ipynb
* unstage ipynb changes
2021-10-13 06:21:17 -07:00
MengzhangLI
f910caf229
[Feature] Support FastFCN ( #885 )
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* 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
MengzhangLI
d966f98f83
[Feature] Support ICNet ( #884 )
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* 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
Junjun2016
10886b00f0
fix load ckpt bug in swin ( #928 )
2021-09-30 07:50:44 -07:00
Jerry Jiarui XU
85227b46c7
[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
MengzhangLI
ab12009414
[Feature] Support BiSeNetV1 ( #851 )
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* First Commit
* fix typos
* fix typos
* Fix assertion bug
* Adding Assert
* Adding Unittest
* Fixing typo
* Uploading models & logs
* Fixing unittest error
* changing README.md
* changing README.md
2021-09-29 02:12:57 +08:00
MengzhangLI
4003b8f421
[Feature] Support BiSeNetV2 ( #804 )
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* BiSeNetV2 first commit
* BiSeNetV2 unittest
* remove pytest
* add pytest module
* fix ConvModule input name
* fix pytest error
* fix unittest
* refactor
* BiSeNetV2 Refactory
* fix docstrings and add some small changes
* use_sigmoid=False
* fix potential bugs about upsampling
* Use ConvModule instead
* Use ConvModule instead
* fix typos
* fix typos
* fix typos
* discard nn.conv2d
* discard nn.conv2d
* discard nn.conv2d
* delete **kwargs
* uploading markdown and model
* final commit
* BiSeNetV2 adding Unittest for its modules
* BiSeNetV2 adding Unittest for its modules
* BiSeNetV2 adding Unittest for its modules
* BiSeNetV2 adding Unittest for its modules
* BiSeNetV2 adding Unittest for its modules
* BiSeNetV2 adding Unittest for its modules
* BiSeNetV2 adding Unittest for its modules
* Fix README conflict
* Fix unittest problem
* Fix unittest problem
* BiSeNetV2
* Fixing fps
* Fixing typpos
* bisenetv2
2021-09-26 18:52:16 +08:00
Julius Zhang
29c82eaf13
[Fix] Fix loss parse in val_step ( #906 )
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* [Fix] Fix loss parse in val_step
* Add val_step unittest
* Add train_step unittest
2021-09-25 18:17:40 -07:00
MengzhangLI
186a1fc88e
[Feature] Support multiple losses during training ( #818 )
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* multiple losses
* fix lint error
* fix typos
* fix typos
* Adding Attribute
* Fixing loss_ prefix
* Fixing loss_ prefix
* Fixing loss_ prefix
* Add Same
* loss_name must has 'loss_' prefix
* Fix unittest
* Fix unittest
* Fix unittest
* Update mmseg/models/decode_heads/decode_head.py
Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>
2021-09-24 15:08:28 +08:00
Layne
eb0baee414
[Feature] Support ISA module ( #70 )
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* add isa module
* use more readable names, add more comments and exp results
* add unittests
* remove redundant docstring
* Apply suggestions from code review
Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>
* fix unittest
* Update configs
* add results
* update yml
* Update README
Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>
Co-authored-by: xiexinch <xinchen.xie@qq.com>
2021-09-08 21:13:53 -07:00
MengzhangLI
4981ff68c2
[Fix] Fix docstring link problem in readthedocs ( #845 )
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* fix docstring link
* fix docstring link
* fix docstring link
* fix docstring link
* fix docstring link
* fix docstring link
2021-09-02 17:06:43 +08:00
谢昕辰
2825efe378
[Feature] add DPT head ( #605 )
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* add DPT head
* [fix] fix init error
* use mmcv function
* delete code
* remove transpose clas
* support NLC output shape
* Delete post_process_layer.py
* add unittest and docstring
* rename variables
* fix project error and add unittest
* match dpt weights
* add configs
* fix vit pos_embed bug and dpt feature fusion bug
* match vit output
* fix gelu
* minor change
* update unitest
* fix configs error
* inference test
* remove auxilary
* use local pretrain
* update training results
* update yml
* update fps and memory test
* update doc
* update readme
* add yml
* update doc
* remove with_cp
* update config
* update docstring
* remove dpt-l
* add init_cfg and modify readme.md
* Update dpt_vit-b16.py
* zh-n README
* use constructor instead of build function
* prevent tensor being modified by ConvModule
* fix unittest
Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>
2021-08-30 16:53:05 +08:00
Guangchen Lin
aa438f5c95
[Fix] The interface multiscale_output is defined but not used ( #830 )
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* Add interface multiscale_output
* Add space between args and their types
* Fix default value
2021-08-27 18:53:55 +08:00
谢昕辰
c11da07e18
[Enhancement] Delete convert function and add instruction to ViT/Swin README.md ( #791 )
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* delete convert function and add instruction to README.md
* unified model convert and README
* remove url
* fix import error
* fix unittest
* rename pretrain
* rename vit and deit pretrain
* Update upernet_deit-b16_512x512_160k_ade20k.py
* Update upernet_deit-b16_512x512_80k_ade20k.py
* Update upernet_deit-b16_ln_mln_512x512_160k_ade20k.py
* Update upernet_deit-b16_mln_512x512_160k_ade20k.py
* Update upernet_deit-s16_512x512_160k_ade20k.py
* Update upernet_deit-s16_512x512_80k_ade20k.py
* Update upernet_deit-s16_ln_mln_512x512_160k_ade20k.py
* Update upernet_deit-s16_mln_512x512_160k_ade20k.py
Co-authored-by: Jiarui XU <xvjiarui0826@gmail.com>
Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>
2021-08-25 15:00:41 -07:00
Junjun2016
441be4e435
[Dcos] Add header for files ( #796 )
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* Add header for files
* Delete header in config files
2021-08-16 23:16:55 -07:00
sennnnn
2acd563231
[Fix] Fix setr decode head typos. ( #787 )
2021-08-13 14:55:29 +08:00
sennnnn
bcafcdd2aa
[Feature] Add segformer decode head and related train config ( #599 )
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* [Feature]Segformer re-implementation
* Using act_cfg and norm_cfg to control activation and normalization
* Split this PR into several little PRs
* Fix lint error
* Remove SegFormerHead
* [Feature] Add segformer decode head and related train config
* Add ade20K trainval support for segformer
1. Add related train and val configs;
2. Add AlignedResize;
* Set arg: find_unused_parameters = True
* parameters init refactor
* 1. Refactor segformer backbone parameters init;
2. Remove rebundant functions and unit tests;
* Remove rebundant codes
* Replace Linear Layer to 1X1 Conv
* Use nn.ModuleList to refactor segformer head.
* Remove local to_xtuple
* 1. Remove rebundant codes;
2. Modify module name;
* Refactor the backbone of segformer using mmcv.cnn.bricks.transformer.py
* Fix some code logic bugs.
* Add mit_convert.py to match pretrain keys of segformer.
* Resolve some comments.
* 1. Add some assert to ensure right params;
2. Support flexible peconv position;
* Add pe_index assert and fix unit test.
* 1. Add doc string for MixVisionTransformer;
2. Add some unit tests for MixVisionTransformer;
* Use hw_shape to pass shape of feature map.
* 1. Fix doc string of MixVisionTransformer;
2. Simplify MixFFN;
3. Modify H, W to hw_shape;
* Add more unit tests.
* Add doc string for shape convertion functions.
* Add some unit tests to improve code coverage.
* Fix Segformer backbone pretrain weights match bug.
* Modify configs of segformer.
* resolve the shape convertion functions doc string.
* Add pad_to_patch_size arg.
* Support progressive test with fewer memory cost.
* Modify default value of pad_to_patch_size arg.
* Temp code
* Using processor to refactor evaluation workflow.
* refactor eval hook.
* Fix process bar.
* Fix middle save argument.
* Modify some variable name of dataset evaluate api.
* Modify some viriable name of eval hook.
* Fix some priority bugs of eval hook.
* Fix some bugs about model loading and eval hook.
* Add ade20k 640x640 dataset.
* Fix related segformer configs.
* Depreciated efficient_test.
* Fix training progress blocked by eval hook.
* Depreciated old test api.
* Modify error patch size.
* Fix pretrain of mit_b0
* Fix the test api error.
* Modify dataset base config.
* Fix test api error.
* Modify outer api.
* Build a sampler test api.
* TODO: Refactor format_results.
* Modify variable names.
* Fix num_classes bug.
* Fix sampler index bug.
* Fix grammaly bug.
* Add part of benchmark results.
* Support batch sampler.
* More readable test api.
* Remove some command arg and fix eval hook bug.
* Support format-only arg.
* Modify format_results of datasets.
* Modify tool which use test apis.
* Update readme.
* Update readme of segformer.
* Updata readme of segformer.
* Update segformer readme and fix segformer mit_b4.
* Update readme of segformer.
* Clean AlignedResize related config.
* Clean code from pr #709
* Clean code from pr #709
* Add 512x512 segformer_mit-b5.
* Fix lint.
* Fix some segformer head bugs.
* Add segformer unit tests.
* Replace AlignedResize to ResizeToMultiple.
* Modify readme of segformer.
* Fix bug of ResizeToMultiple.
* Add ResizeToMultiple unit tests.
* Resolve conflict.
* Simplify the implementation of ResizeToMultiple.
* Update test results.
* Fix multi-scale test error when resize_ratio=1.75 and input size=640x640.
* Update segformer results.
* Update Segformer results.
* Fix some url bugs and pipelines bug.
* Move ckpt convertion to tools.
* Add segformer official pretrain weights usage.
* Clean redundant codes.
* Remove redundant codes.
* Unfied format.
* Add description for segformer converter.
* Update workers.
2021-08-13 13:31:19 +08:00
sshuair
f934084783
[Enhancement] Support hrnet frozen stage ( #743 )
...
* support hrnet frozen stage
* support hrnet frozen stage
2021-08-03 09:45:42 -07:00
