aa53f7790c
[Tool] Add metafile fill and validation tools. ( #1297 )
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* [Tool] Add metafile fill and validation tools.
* Fix pre-commit hooks and update fill tool.
* Update metafile
* Update fill tool
* Remove support no config.
* Add 3rdparty check.
2023-01-10 10:06:56 +08:00
060b0ed3b5
[Feature] Support ConvNeXt-V2 backbone. ( #1294 )
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* [Feature] Support ConvNeXt-V2.
* Use registry of mmcls instead of mmengine.
* Add README.
* Add unit tests and docs.
2023-01-06 16:13:41 +08:00
74743ef588
[Feature] [CodeCamp #68 ] Add EfficientnetV2 Backbone. ( #1253 )
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* add efficientnet_v2.py
* add efficientnet_v2 in __init__.py
* add efficientnet_v2_s base config file
* add efficientnet_v2 config file
* add efficientnet_v2 config file
* update tuple output
* update config file
* update model file
* update model file
* update model file
* update config file
* update model file
* update config file
* update model file
* update model file
* update model file
* update model file
* update model file
* update config file
* update config file
* update model file
* update model file
* update model file
* update model file
* update model config file
* Update efficientnet_v2.py
* add config file and modify arch
* add config file and modify arch
* add the file about convert_pth from timm to mmcls
* update efficientnetv2 model file with mmcls style
* add the file about convert_pth from timm to mmcls
* add the file about convert_pth from timm to mmcls
* update convert file
* update model file
* update convert file
* update model file
* update model file
* update model file
* add metefile and README
* Update tools/model_converters/efficientnetv2-timm_to_mmcls.py
Co-authored-by: Ezra-Yu <18586273+Ezra-Yu@users.noreply.github.com>
* update model file and convert file
* update model file and convert file
* update model file and convert file
* update model file and convert file
* update model file
* update model file
* update model file
* update config file and README file
* update metafile
* Update efficientnetv2_to_mmcls.py
* update model-index.yml
* update metafile.yml
* update b0 and s train pipeline
* update b0 and s train pipeline
* update b0 and s train pipeline
* add test_efficientnet_v2
* update test_efficientnet_v2
* update model file docs
* update test_efficientnet_v2
* update test_efficientnet_v2
* add efficientnet_v2.py
* add efficientnet_v2 in __init__.py
* add efficientnet_v2_s base config file
* add efficientnet_v2 config file
* add efficientnet_v2 config file
* update tuple output
* update config file
* update model file
* update model file
* update model file
* update model file
* update config file
* update config file
* update model file
* update model file
* update model file
* update model file
* update model file
* update config file
* update config file
* update model file
* update model file
* update model file
* update model file
* update model config file
* Update efficientnet_v2.py
* add config file and modify arch
* add config file and modify arch
* add the file about convert_pth from timm to mmcls
* update efficientnetv2 model file with mmcls style
* add the file about convert_pth from timm to mmcls
* add the file about convert_pth from timm to mmcls
* update convert file
* update model file
* update convert file
* update model file
* update model file
* update model file
* add metefile and README
* Update tools/model_converters/efficientnetv2-timm_to_mmcls.py
Co-authored-by: Ezra-Yu <18586273+Ezra-Yu@users.noreply.github.com>
* update model file and convert file
* update model file and convert file
* update model file and convert file
* update model file and convert file
* update model file
* update model file
* update model file
* update config file and README file
* update metafile
* Update efficientnetv2_to_mmcls.py
* update model-index.yml
* update metafile.yml
* update b0 and s train pipeline
* update b0 and s train pipeline
* update b0 and s train pipeline
* add test_efficientnet_v2
* update test_efficientnet_v2
* update model file docs
* update test_efficientnet_v2
* update test_efficientnet_v2
* pass pre-commit hook
* refactor efficientnetv2
* refactor efficientnetv2
* update readme, metafile and weight links
* update model-index.yml
* fix lint
* fix typo
* Update efficientnetv2-b1_8xb32_in1k.py
* Update efficientnetv2-b2_8xb32_in1k.py
* Update efficientnetv2-b3_8xb32_in1k.py
* update two moduals and model file
* update modual file
* update accuracys
* update accuracys
* update metafile
* fix build docs
* update links
* update README.md
Co-authored-by: qingtian <459291290@qq.com>
Co-authored-by: Ezra-Yu <18586273+Ezra-Yu@users.noreply.github.com>
2022-12-30 15:18:39 +08:00
9038c1c255
[Feature] Support TTA and add `--tta` in `tools/test.py`. ( #1161 )
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* [Feature] Support TTA and add `--tta` in `tools/test.py`.
* Add unit tests.
* Rename the TTA model to `AverageClsScoreTTA`.
2022-12-30 11:46:17 +08:00
bac181f393
[Feature] Support Multi-task. ( #1229 )
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* unit test for multi_task_head
* [Feature] MultiTaskHead (#628 , #481 )
* [Fix] lint for multi_task_head
* [Feature] Add `MultiTaskDataset` to support multi-task training.
* Update MultiTaskClsHead
* Update docs
* [CI] Add test mim CI. (#879 )
* [Fix] Remove duplicated wide-resnet metafile.
* [Feature] Support MPS device. (#894 )
* [Feature] Support MPS device.
* Add `auto_select_device`
* Add unit tests
* [Fix] Fix Albu crash bug. (#918 )
* Fix albu BUG: using albu will cause the label from array(x) to array([x]) and crash the trainning
* Fix common
* Using copy incase potential bug in multi-label tasks
* Improve coding
* Improve code logic
* Add unit test
* Fix typo
* Fix yapf
* Bump version to 0.23.2. (#937 )
* [Improve] Use `forward_dummy` to calculate FLOPS. (#953 )
* Update README
* [Docs] Fix typo for wrong reference. (#1036 )
* [Doc] Fix typo in tutorial 2 (#1043 )
* [Docs] Fix a typo in ImageClassifier (#1050 )
* add mask to loss
* add another pipeline
* adpat the pipeline if there is no mask
* switch mask and task
* first version of multi data smaple
* fix problem with attribut by getattr
* rm img_label suffix, fix 'LabelData' object has no attribute 'gt_label'
* training without evaluation
* first version work
* add others metrics
* delete evaluation from dataset
* fix linter
* fix linter
* multi metrics
* first version of test
* change evaluate metric
* Update tests/test_models/test_heads.py
Co-authored-by: Colle <piercus@users.noreply.github.com>
* Update tests/test_models/test_heads.py
Co-authored-by: Colle <piercus@users.noreply.github.com>
* add tests
* add test for multidatasample
* create a generic test
* create a generic test
* create a generic test
* change multi data sample
* correct test
* test
* add new test
* add test for dataset
* correct test
* correct test
* correct test
* correct test
* fix : #5
* run yapf
* fix linter
* fix linter
* fix linter
* fix isort
* fix isort
* fix docformmater
* fix docformmater
* fix linter
* fix linter
* fix data sample
* Update mmcls/structures/multi_task_data_sample.py
Co-authored-by: Colle <piercus@users.noreply.github.com>
* Update mmcls/structures/multi_task_data_sample.py
Co-authored-by: Colle <piercus@users.noreply.github.com>
* Update mmcls/structures/multi_task_data_sample.py
Co-authored-by: Colle <piercus@users.noreply.github.com>
* Update mmcls/structures/multi_task_data_sample.py
Co-authored-by: Colle <piercus@users.noreply.github.com>
* Update mmcls/structures/multi_task_data_sample.py
Co-authored-by: Colle <piercus@users.noreply.github.com>
* Update mmcls/structures/multi_task_data_sample.py
Co-authored-by: Colle <piercus@users.noreply.github.com>
* Update tests/test_structures/test_datasample.py
Co-authored-by: Colle <piercus@users.noreply.github.com>
* Update mmcls/structures/multi_task_data_sample.py
Co-authored-by: Colle <piercus@users.noreply.github.com>
* Update tests/test_structures/test_datasample.py
Co-authored-by: Colle <piercus@users.noreply.github.com>
* Update tests/test_structures/test_datasample.py
Co-authored-by: Colle <piercus@users.noreply.github.com>
* update data sample
* update head
* update head
* update multi data sample
* fix linter
* fix linter
* fix linter
* fix linter
* fix linter
* fix linter
* update head
* fix problem we don't set pred or gt
* fix problem we don't set pred or gt
* fix problem we don't set pred or gt
* fix linter
* fix : #2
* fix : linter
* update multi head
* fix linter
* fix linter
* update data sample
* update data sample
* fix ; linter
* update test
* test pipeline
* update pipeline
* update test
* update dataset
* update dataset
* fix linter
* fix linter
* update formatting
* add test for multi-task-eval
* update formatting
* fix linter
* update test
* update
* add test
* update metrics
* update metrics
* add doc for functions
* fix linter
* training for multitask 1.x
* fix linter
* run flake8
* run linter
* update test
* add mask in evaluation
* update metric doc
* update metric doc
* Update mmcls/evaluation/metrics/multi_task.py
Co-authored-by: Colle <piercus@users.noreply.github.com>
* Update mmcls/evaluation/metrics/multi_task.py
Co-authored-by: Colle <piercus@users.noreply.github.com>
* Update mmcls/evaluation/metrics/multi_task.py
Co-authored-by: Colle <piercus@users.noreply.github.com>
* Update mmcls/evaluation/metrics/multi_task.py
Co-authored-by: Colle <piercus@users.noreply.github.com>
* Update mmcls/evaluation/metrics/multi_task.py
Co-authored-by: Colle <piercus@users.noreply.github.com>
* Update mmcls/evaluation/metrics/multi_task.py
Co-authored-by: Colle <piercus@users.noreply.github.com>
* update metric doc
* update metric doc
* Fix cannot import name MultiTaskDataSample
* fix test_datasets
* fix test_datasets
* fix linter
* add an example of multitask
* change name of configs dataset
* Refactor the multi-task support
* correct test and metric
* add test to multidatasample
* add test to multidatasample
* correct test
* correct metrics and clshead
* Update mmcls/models/heads/cls_head.py
Co-authored-by: Colle <piercus@users.noreply.github.com>
* update cls_head.py documentation
* lint
* lint
* fix: lint
* fix linter
* add eval mask
* fix documentation
* fix: single_label.py back to 1.x
* Update mmcls/models/heads/multi_task_head.py
Co-authored-by: Ma Zerun <mzr1996@163.com>
* Remove multi-task configs.
Co-authored-by: mzr1996 <mzr1996@163.com>
Co-authored-by: HinGwenWoong <peterhuang0323@qq.com>
Co-authored-by: Ming-Hsuan-Tu <alec.tu@acer.com>
Co-authored-by: Lei Lei <18294546+Crescent-Saturn@users.noreply.github.com>
Co-authored-by: WRH <12756472+wangruohui@users.noreply.github.com>
Co-authored-by: marouaneamz <maroineamil99@gmail.com>
Co-authored-by: marouane amzil <53240092+marouaneamz@users.noreply.github.com>
2022-12-30 10:36:00 +08:00
5b266d9e7c
[Feature] Add clip backbone. ( #1258 )
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* clip backbone added
* passed precommit
* update readme
* update according to PR review
* add missing file
* add unittest
* refine metafile
* refine metafile and readme for readdocs
* refine metafile
* refine metafile
* Update metafile
Co-authored-by: mzr1996 <mzr1996@163.com>
2022-12-22 16:33:57 +08:00
14dcb69092
[Feature] Add mixmim backbone with checkpoints. ( #1224 )
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* add mixmim backbone
* add mixmim inference
* add docstring, metafile, test and modify readme
* Update README and metafile
Co-authored-by: mzr1996 <mzr1996@163.com>
2022-12-20 16:52:54 +08:00
5547f4cac4
[Feature] Add TinyViT for dev-1.x. ( #1042 )
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* [Feature] add TinyViT for dev-1.x
* [Feature] update readme
* fix lint error
* refactor the code
* [Update] update the args
* [Update] add unit test and fix bugs
* Rename the configuration file
* delete invalid files
* [Feature] update tinyvit readme
* [Feature] update tinyvit readme
* [Feature] update metafile
* Update tinyvit metafile
2022-12-20 13:04:00 +08:00
2535c1ecd7
[Feature] Support EVA. ( #1239 )
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* add eva
* add eva
* add eva
* sklearn -> scikit-learn
* add large
* Update model names and links.
* Fix resize pos embed error when loading fp16 weight.
* Remove verbose configs.
Co-authored-by: mzr1996 <mzr1996@163.com>
2022-12-14 13:21:33 +08:00
210373c093
[Feature] Implementation of RevViT. ( #1127 )
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* [Feature] implement rev-vit network
* can reproduce the RevViT-Small accuracy 79.9
* update
* [Feature] update revvit
* [Feature] update revvit readme
* Update links
Co-authored-by: mzr1996 <mzr1996@163.com>
2022-12-14 11:46:39 +08:00
c127c474b9
[Feature] Support getting model from the name defined in the model-index file. ( #1236 )
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* [Feature] Support getting model from the name defined in the model-index file.
* Add unit tests.
* Prevent import `timm` if the `TIMMBackbone` is not used.
* Fix Windows CI.
* Move `init_model` to `mmcls.apis.hub`, and support pass nn.Module to all
model components.
* Fix requirements
* Rename `hub.py` to `model.py` and add unit tests.
2022-12-06 17:00:22 +08:00
7b9a1010f5
[Enhance] Support evaluate on both EMA and non-EMA models. ( #1204 )
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* [Enhance] Support evaluate on both EMA and original models.
* Fix lint
2022-12-05 14:16:12 +08:00
d80ec5a4b8
[Refactor] Refactor BEiT backbone and support v1/v2 inference. ( #1144 )
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* refactor beit backbone
* use LinearClsHead
* fix mean and std value
* fix lint
* support inference if beit-v2
* update encoder layer and init
* update
* add ut
* add prepare_relative_position_bias_table function
* add cls_token
* fix lint
* add pos_embed check
* update metafile and readme
* update weights link
* update link of weights
* update metafile
* update
* update docstrings
* update according to review
* rename readme
* update docstring
* fix lint
2022-11-29 12:56:33 +08:00
b0007812d6
[Enhance] Enhance ArcFaceClsHead. ( #1181 )
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* update arcface
* fix unit tests
* add adv-margins
add adv-margins
update arcface
* rebase
* update doc and fix ut
* rebase
* update code
* rebase
* use label data
* update set-margins
* Modify Arcface related method names.
Co-authored-by: mzr1996 <mzr1996@163.com>
2022-11-21 18:10:39 +08:00
940a06f645
[Refactor] Refactor to use new fileio API in MMEngine. ( #1176 )
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* [Refactor] Refactor to use new fileio API in MMEngine.
* Add comment about why use `backend`
2022-11-21 10:56:35 +08:00
629f6447ef
[Feature] Migrate CSRA head to 1.x. ( #1177 )
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* [Feat] add csra to 1x
* minor fix
* add voc metrics
* refine
* add unittest
* minor fix
* add more comments
* Fix docs and metafile.
* Fix docs.
Co-authored-by: mzr1996 <mzr1996@163.com>
2022-11-21 10:39:16 +08:00
72c6bc4864
[Feature] Support RepLKnet backbone. ( #1129 )
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* update replknet configs
* update replknet test
* update replknet model
* update replknet model
* update replknet model
* update replknet model
* Fix docs and config names
Co-authored-by: mzr1996 <mzr1996@163.com>
2022-11-21 10:18:58 +08:00
c3c1cb93aa
[Feature] Add Switch Recipe Hook. ( #1101 )
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* add switch hook and UTs
* update doc
* update doc
* fix lint
* fix ci
* fix ci
* fix typo
* fix ci
* switchTrainAugHook to switchRecipeHook
* fix lint
* Refactor the `SwitchRecipeHook`.
* Fix windows CI
* Fix windows CI
* Fix windows CI.
Co-authored-by: mzr1996 <mzr1996@163.com>
2022-11-18 18:12:03 +08:00
c4f3883a22
[Feature] Support DaViT. ( #1105 )
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* add davit
* fix mixup config
* convert scripts
* lint
* test
* test
* Add checkpoint links.
Co-authored-by: mzr1996 <mzr1996@163.com>
2022-11-16 17:23:55 +08:00
cf5879988d
[Feature] Support Activation Checkpointing for ConvNeXt. ( #1153 )
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* Support Activation Checkpointing for ConvNeXt
* Add docstring.
Co-authored-by: mzr1996 <mzr1996@163.com>
2022-11-14 15:04:28 +08:00
542143cb41
[Feature] Add TIMM and HuggingFace wrappers to build classifiers from them directly. ( #1102 )
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* [Feature] Add TIMM and HuggingFace wrappers to build classifiers from them directly.
* Support `with_cp` and add docstring.
* Add unit tests.
* Update CI.
* Update docs.
2022-11-10 14:56:19 +08:00
9eb6fc4368
[Feature] Add reduction for neck ( #978 )
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* feat: add reduction for neck
* feat: add reduction for neck
* feat: add reduction for neck
* feat:add linear reduction neck
* feat: add reduction neck
* mod out of linearReduction as tuple
* fix typo
* fix unit tests
* fix unit tests
Co-authored-by: Ezra-Yu <18586273+Ezra-Yu@users.noreply.github.com>
2022-11-04 15:44:37 +08:00
8cc1fdef52
[Enhancement] RepVGG for YOLOX-PAI for dev-1.x. ( #1126 )
2022-11-04 15:36:18 +08:00
d05cbbcf9b
[Feature] Support HorNet Backbone for dev1.x. ( #1094 )
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* add hornet
* add hornet
* fix mixup config
* add optim cfgs
Co-authored-by: Ezra-Yu <18586273+Ezra-Yu@users.noreply.github.com>
2022-11-04 15:33:46 +08:00
9506241f73
[Feature] Add arcface head. ( #926 )
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* feat: add arcface head
* feat: add arcface head
* update arcface
* refactor archface head
* update archface head
* update archface head
* use torch.cat instead of torch.hstack to fix ci
Co-authored-by: Ezra-Yu <18586273+Ezra-Yu@users.noreply.github.com>
2022-11-02 17:45:33 +08:00
693596bc2f
[Feature] Add Base Retriever and Image2Image Retriever for retrieval tasks. ( #1055 )
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* feat: add image retriever
* feat: add image retriever
* feat: add image retriever
* feat: add image retriever
* feat: add image retriever
* feat: add image retriever
* feat: add image retriever
* feat: add image retriever
* feat: add image retriever
* update retriever
* fix lint
* add hook unit test
* Use `register_buffer` to save prototype vectors and add a progress bar
during preparing prototype.
* update UTs
* update UTs
* fix typo
* modify the hook
Co-authored-by: Ezra-Yu <18586273+Ezra-Yu@users.noreply.github.com>
Co-authored-by: mzr1996 <mzr1996@163.com>
2022-11-02 17:43:56 +08:00
bcca619066
[Feature] Support MobileViT backbone. ( #1068 )
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* init
* fix
* add config
* add meta
* add unittest
* fix for comments
* Imporvee docstring and support custom arch.
* Update README
* Update windows CI
Co-authored-by: mzr1996 <mzr1996@163.com>
2022-10-18 17:05:59 +08:00
29f066f7fb
[Improve] Speed up data preprocessor. ( #1064 )
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* [Improve] Speed up data preprocessor.
* Add ClsDataSample serialization override functions.
* Add unit tests
* Modify configs to fit new mixup args.
* Fix `num_classes` of the ImageNet-21k config.
* Update docs.
2022-10-17 17:08:18 +08:00
a49c3076e1
[Feature] Support DeiT3. ( #1065 )
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* deit3
deit3
lint
* add tools and test
* deit3
* deit3
* fix preprocess
* lint
* Update config names and checkpoint paths
* Update convert tools to use mmengine, and fix docstring.
Co-authored-by: mzr1996 <mzr1996@163.com>
2022-10-10 14:54:20 +08:00
51b7c754e7
[Fix] Fix the output position of Swin-Transformer. ( #947 )
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* [Fix] Fix the output position of Swin-Transformer.
* Rename `downsample` argument to `do_downsample`.
2022-09-22 17:11:52 +08:00
034683cfcd
[Feature] Support MViT for MMCLS 1.x ( #1023 )
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* [Feature] Support MViT for MMCLS 1.x
* Add unit tests
* Update documentation
2022-09-22 09:23:49 +08:00
81f10ccbb7
[Feature] Support EdgeNeXt for dev-1.x. ( #1037 )
...
* [Feature] add EdgeNeXt for dev-1.x
* [Feature] add update
* Imporve EdgeNeXt
* Fix div error in low pytorch version
Co-authored-by: mzr1996 <mzr1996@163.com>
2022-09-21 13:27:04 +08:00
e9e2d48cb2
[Improve] Update benchmark scripts ( #1028 )
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* Update train benchmark scripts
* Add `--cfg-options` for dev scripts and enhance `--range`.
* Fix bug of regex expression.
* Fix minor bugs
* Update ShuffleNet configs
* Update rsb-a1 configs and label smooth loss mode.
* Update inference dev scripts
* From `mmengine` instead of `mmcv` import fileio.
* Fix lint
* Update pre-commit hook
* Use `use_sigmoid` option instead of "bce" mode in label smooth loss.
2022-09-20 15:50:21 +08:00
e4e8047563
[Feature] Support Swin Transformer V2 for MMCLS 1.x. ( #1029 )
...
* [Feature] support swin v2 in mmcls 1.x
* fix configs
* fix clamp max
* Fix meshgrid
* Imporve swin v2
Co-authored-by: mzr1996 <mzr1996@163.com>
2022-09-20 15:45:27 +08:00
aaf127c5e1
[Feature] Add efficientformer Backbone for MMCls 1.x. ( #1031 )
...
* rebase
* update filename
* update URL
* update UT
* fix lint
* update head
* add efficientformer
* update filename
* update UT
* fix lint
* update configs
* rebase
* fix unit tests
* Fix comments and docs.
Co-authored-by: mzr1996 <mzr1996@163.com>
2022-09-20 14:56:45 +08:00
f1d2f50c21
[Feature] Add MobileOne Backbone For MMCls 1.x. ( #1030 )
...
* add mobileOne
* add train cfg
* update cfgs
* update URL
* update configs
* update inceptionv3 metafile
* add configs
* fix lint
* update checkpoint urls
* Update configs
* Update README
Co-authored-by: mzr1996 <mzr1996@163.com>
2022-09-16 11:55:10 +08:00
61e9d890a6
[CI] Update circle-ci and github workflow. ( #1018 )
...
* Add deploy workflow.
* [CI] Update circle-ci and github workflow.
* Fix windows CI
* Update unit tests to save memory
2022-09-13 11:46:15 +08:00
0b61b76325
[Docs] Add Migration documentation. ( #997 )
...
* [Docs] Add Migration documentation.
* Fix the train_cfg argument
* [WIP] Improve according to comments
* Imporve according to comments.
2022-08-31 13:31:48 +08:00
2b88df4484
[Refactor] Refactor the data flow. ( #989 )
...
* [Refactor] Refactor the data flow.
* Add comments about data preprocessor.
* Fix after mmengine folder structure refactoring.
2022-08-26 10:40:43 +08:00
b7d0d521eb
[Refactor] Use `mmengine` instead of `mmcv` and refactor some transforms. ( #986 )
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* [Refactor] Refactor the rest data transforms and fix some docstring.
* Use `mmengine` instead of `mmcv`
* Refactor KFold dataset tools
* Fix docstring according to comments
2022-08-24 15:59:02 +08:00
20f9ace5c5
[CI] Add Circle CI for mmcls 1.x. ( #970 )
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* [CI] Add Circle CI for mmcls 1.x
* Fix circle-ci config
* Use `torch.cat` instead of `torch.hstack` to compat with PyTorch 1.6
* Compat the behavior of LongTensor in PyTorch 1.6
* Avoid random behavior in the unit test of Lighting
* Fix cuda ci
* Remove github workflow temporarily.
2022-08-22 15:02:08 +08:00
b8b31e9343
[Improve] Multiple fixes. ( #957 )
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* Rename some files in unit tests.
* Rename `pipelines` folder to `transforms`.
* Fix version requirement range.
* Remove `init_random_seed` and `set_random_seed`.
* Fix unit tests
* Rename `convert_models` to `model_converters`.
2022-08-09 15:58:08 +08:00
624d22b441
[Refactor] Refactor Precise BN Hook. ( #913 )
2022-08-03 15:24:19 +08:00
43e60ad5a6
[Improve] Rename `mmcls.data` to `mmcls.structures`. ( #941 )
2022-07-29 14:18:13 +08:00
0c7a04b1c7
Fix lint
2022-07-18 14:14:31 +08:00
f37dc44a25
refactor UTs
2022-07-18 11:11:13 +08:00
9118b97239
refactor evaluation
2022-07-18 11:11:13 +08:00
1c82863449
fix lint
2022-07-18 11:11:13 +08:00
6ed3860ea6
refactor UTs
2022-07-18 11:11:13 +08:00
0f30c392a3
from core to engine
2022-07-18 11:11:13 +08:00
24bcf069f8
[Refactor] Refactor dev scripts
2022-07-18 11:11:13 +08:00
c992e24617
[Refactor] refactor ClassNumCheckHook
2022-07-18 11:11:13 +08:00
e9342d9e4c
Add multi_label heads
2022-07-18 11:11:13 +08:00
4fcd7ee072
Add EfficientNetRandomCrop and EfficientNetCenterCrop
2022-07-18 11:11:13 +08:00
12c982f939
[Refactor] Refactor `RepeatAugSampler`.
2022-07-18 11:11:13 +08:00
e8d69cf2ff
[Fix] adjust default dataset path to empty string
2022-07-18 11:11:13 +08:00
7bca2516f0
Add CUB dataset
2022-07-18 11:11:13 +08:00
daa6167336
Add Lighting, ColorJitter and Albumentations
2022-07-18 11:11:13 +08:00
a9057e88c4
Add multi label metrics
2022-07-18 11:11:13 +08:00
62b046521e
[Refactor] refactor ViTHead, DeiTHead, ConformerHead, StackedHead
2022-07-18 11:11:13 +08:00
a82de04b67
Enhance browse datset
2022-07-18 11:11:13 +08:00
375fe68f12
Imporve according to comments
2022-07-18 11:11:13 +08:00
f0cab33e09
Force `label` in ClsDatasample long type.
2022-07-18 11:11:13 +08:00
f3299b4ca2
[Refactor] Refactor batch augmentations
2022-07-18 11:11:13 +08:00
dd660ed99e
[Improve] Clean useless code and reduce unit tests memory usage.
2022-07-18 11:11:13 +08:00
125b74d4ca
[Refactor] Refactor MNIST and FashionMNIST dataset.
2022-07-18 11:11:13 +08:00
ee6e585e41
Mazerun/base classifier
2022-07-18 11:11:13 +08:00
d6fa480915
[Refactor] Add VOC dataset and mutil_label dataset
2022-07-18 11:11:13 +08:00
522ab1fd84
[Feature] Add Visualization hook
2022-07-18 11:11:04 +08:00
c78b5597d8
[Refactor] refactor randomCrop, randomResizeCrop and CenterCrop。
2022-07-18 10:57:17 +08:00
c0feadf546
Refactor `RandomErasing`
2022-07-18 10:53:56 +08:00
4f28b9dd63
[Refactor] refactor AutoAugment and RandAugment
2022-07-18 10:53:56 +08:00
3b6d44ea05
[Refactor] Refactor CIFAR10 and CIFAR100 dataset.
2022-07-18 10:53:56 +08:00
995b1d0d58
[Refactor] Add `ResizeEdge` and refactor all dataset configs.
2022-07-18 10:53:56 +08:00
4d4b22377d
Add browse dataset
2022-07-18 10:53:56 +08:00
efaa93aae1
[Refactor] Refactor entry scripts `train.py` and `test.py`.
2022-07-18 10:53:56 +08:00
6ad75f0076
[Feature] Add metrics for single-label classification.
2022-07-18 10:53:28 +08:00
93a27c8324
[Feature] Add `PackClsInputs` and use `LoadImageFromFile`, `Resize` & `RandomFlip` in MMCV.
2022-07-18 10:53:28 +08:00
0537c4d70c
[Feature] Add `ClsVisualizer`.
2022-07-18 10:53:27 +08:00
27e685fe10
[Feature] Add `BaseDataset`, `CustomDataset`, `ImageNet` and `ImageNet21k`
2022-07-18 10:53:27 +08:00
98377df512
Update ClsDataSample design
2022-07-18 10:53:27 +08:00
ce2b40133b
Add property, setter and deleter.
2022-07-18 10:53:27 +08:00
4bf54066c9
Add ClsDataSample
2022-07-18 10:53:27 +08:00
de002e455f
[Refactor] Use `MMLogger` from MMEngine in `get_logger` and `print_log`.
2022-07-18 10:53:27 +08:00
088d5b5add
[Refactor] Inherit all registries from MMEngine and use inherited registries.
2022-07-18 10:53:27 +08:00
b5193a9029
[Fix] Reduce unit test memory usage of T2T-ViT
2022-05-16 17:01:30 +08:00
59292b315a
[Feature] Support DenseNet. ( #750 )
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* init add densenet implementation
* Add config and converted models
* update meta
* add test for memory efficient
* Add docs
* add doc for jit
* Update checkpoint path
* Update readthedocs
Co-authored-by: mzr1996 <mzr1996@163.com>
2022-04-28 13:06:03 +08:00
df6edd7f5a
[Feature] Support VAN. ( #739 )
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* add van
* fix config
* add metafile
* add test
* model convert script
* fix review
* fix lint
* fix the configs and improve docs
* rm debug lines
* add VAN into api
Co-authored-by: Yu Zhaohui <1105212286@qq.com>
2022-04-28 09:35:17 +08:00
504e71c3e0
[Enhance] Reduce the memory usage of unit tests for Swin-Transformer. ( #759 )
2022-04-22 17:41:15 +08:00
2eb27d0d4e
[Feature] Add PoolFormer backbone and checkpoints. ( #746 )
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* add PoolFormer
* fix some typos in PoolFormer
* fix lint error
* modify out_indices and gap
* fix typo
* fix lint
* fix typo
* fix typo in poolforemr README
* fix lint
* Update some paths
* Refactor freeze_stages method
* Add unit tests
* Fix lint
Co-authored-by: mzr1996 <mzr1996@163.com>
2022-04-15 11:35:15 +08:00
922a31a68e
[Feature] ADD RepMLP Backbone and checkpoints. ( #709 )
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* add repmlp
* refactor backbone code
* add checkpoint, readme, unit tests
* unchange demo
* improve docstring.
* update pic
* refactor patch embed
* refactor unit tests
* fix lint
* update tools
* update tools
* Update checkpoint path
Co-authored-by: mzr1996 <mzr1996@163.com>
2022-03-30 20:40:25 +08:00
292127098f
[Feature] Add CSPNet and backbone and checkpoints ( #735 )
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* add cspnet backbone
* try
* add backbones
* add cspnet
* add acc
* add unit tests
* chnage mode
* Update checkpoint path
* Fix typo
* Imporve CSPNet
* Update checkpoints
Co-authored-by: mzr1996 <mzr1996@163.com>
2022-03-30 15:29:35 +08:00
d0d6f73fab
[Feature] Add `CustomDataset`. ( #738 )
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* Add custom dataset and refactor ImageNet dataset
* Add default CLASSES for CIFAR dataset
* Add unit tests
* Imporve according to comments
2022-03-30 15:28:26 +08:00
a19c28fe95
[Enhance] Add `get_cat_ids` and `get_gt_labels` to KFoldDataset. ( #721 )
2022-03-23 15:57:36 +08:00
04cb42a768
[Feature] Support ConvMixer. ( #716 )
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* basic support for ConvMixer
* simplify
* add data pipeine config for timm
* Add model readme and metafile
* add unittest for convmixer
* add copyright
* modify
* add tests
* update model
* add conv2dAdaptivePadding replacement
* update model index
* fix comments
* Update checkpoint path
Co-authored-by: mzr1996 <mzr1996@163.com>
2022-03-23 15:23:57 +08:00
aa522f4309
[Feature] Support CUB dataset. ( #703 )
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* support cub dataset
* support cub dataset
* fix train lint error
* add docs
* fix class label
Co-authored-by: Ezra-Yu <1105212286@qq.com>
* del debug code
* skip docformatter problem
* add unit tests
* add CUB baseline configs and chpts
* fix some typos
* fix name style
* update flops
Co-authored-by: Ezra-Yu <1105212286@qq.com>
2022-03-16 16:22:28 +08:00
c1534f9126
[Feature] Support resizemix. ( #676 )
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* add resizemix
* skip torch.__version__ < 1.7.0
* Update mmcls/models/utils/augment/resizemix.py
Co-authored-by: Ma Zerun <mzr1996@163.com>
* Update mmcls/models/utils/augment/resizemix.py
Co-authored-by: Ma Zerun <mzr1996@163.com>
* resize -> F.interpolate
* fix docs
* fix test
* add Copyright
* add argument interpolation
Co-authored-by: Ma Zerun <mzr1996@163.com>
2022-03-07 12:11:20 +08:00
c708770b42
[Enhance] Support dynamic input shape for ViT-based algorithms. ( #706 )
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* Move `resize_pos_embed` to `mmcls.models.utils`
* Refactor Vision Transformer
* Refactor DeiT
* Refactor MLP-Mixer
* Refactor Swin-Transformer
* Remove `indexing` arg
* Support dynamic inputs for t2t_vit
* Add copyright
* Fix bugs in swin transformer
* Add `pad_small_maps` option
* Update swin transformer
* Handle `attn_mask` in checkpoints of swin
* Imporve by comments
2022-03-03 13:10:12 +08:00
1214df083d
[Enhance] Use PyTorch official `one_hot` to implement `convert_to_one_hot`. ( #696 )
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* some change to mmcls/models/losses/utils.py:convert_to_one_hot()
* fixed problem: line too long
* fixed wrong output shape
* fixed lint PEP8 E128
* fix lint
* fix lint
* add unit tests
Co-authored-by: Ezra-Yu <1105212286@qq.com>
2022-02-28 10:20:31 +08:00
5f7322c211
[Fix] Fix Conformer forward with irregular input size. ( #686 )
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* Auto pad the feature map to be divisible by 4.
* Add unit tests
* Use `trans_down_stride` instead of 4.
2022-02-28 10:17:52 +08:00
Ma Zerun
QINGTIAN
Colle
Rongjie Li
Wangbo Zhao(黑色枷锁)
Songyang Zhang
takuoko
Yixiao Fang
Ezra-Yu
Hubert
Jiahao Wang
Hakjin Lee
zzc98
Ezra-Yu
yingfhu
Weihao Yu
huyu
HumberMe