* [Docs] refactor new modules tutorial
* Imporve the modules customization documentations.
* [Fix] fix for comments
* minor add
* Fix grammar of English tutorial.
Co-authored-by: mzr1996 <mzr1996@163.com>
* refactor dataset tutorials
* split into user_guide and advance_guide
* refine
* Fix dataset preparasion tutorial.
* refine CN docs
* update docs API doc link
* refine new a dataset
* refine new a dataset
* refine new a dataset
Co-authored-by: mzr1996 <mzr1996@163.com>
* rebase
* update process
* add TODOs in moved classes
* update APIs
* modify the preprocess_cfg to data_preprocessor
* Fix api docs.
Co-authored-by: mzr1996 <mzr1996@163.com>
* [Refactor] Refactor the rest data transforms and fix some docstring.
* Use `mmengine` instead of `mmcv`
* Refactor KFold dataset tools
* Fix docstring according to comments
* [Refactor] Refactor the docs structure.
* Rename `getting_started.md` to `get_started.md`
* Rename `transforms` to `data_process`
* 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`.
* wandb integration
* visualize using wandb tables
* wandb tables enhanced
* Refactor MMClsWandbHook (#1)
* [Enhance] Add extra dataloader settings in configs. (#752)
* Use `train_dataloader`, `val_dataloader` and `test_dataloader` settings
in the `data` field to specify different arguments.
* Fix bug
* Fix bug
* [Enhance] Improve CPE performance by reduce memory copy. (#762)
* [Feature] Support resize relative position embedding in `SwinTransformer`. (#749)
* [Feature]: Add resize rel pos embed
* [Refactor]: Create a separated resize_rel_pos_bias_table func
* [Refactor]: Refactor rel pos embed bias
* [Refactor]: Move interpolate into func
* Remove index buffer only when window_size changes
Co-authored-by: mzr1996 <mzr1996@163.com>
* [Feature] Add PoolFormer backbone and checkpoints. (#746)
* 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>
* Bump version to v0.22.1 (#785)
* [Docs] Refine API reference. (#774)
* [Docs] Refine API reference
* Add PoolFormer
* [Docs] Fix docs.
* [Enhance] Reduce the memory usage of unit tests for Swin-Transformer. (#759)
* [Feature] Support VAN. (#739)
* 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>
* [Feature] Support DenseNet. (#750)
* 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>
* [Fix] Use symbolic link in the API reference of Chinese docs.
* [Enhance] Support training on IPU and add fine-tuning configs of ViT. (#723)
* implement training and evaluation on IPU
* fp16 SOTA
* Tput reaches 5600
* 123
* add poptorch dataloder
* change ipu_replicas to ipu-replicas
* add noqa to config long line(website)
* remove ipu dataloder test code
* del one blank line in test_builder
* refine the dataloder initialization
* fix a typo
* refine args for dataloder
* remove an annoted line
* process one more conflict
* adjust code structure in mmcv.ipu
* adjust ipu code structure in mmcv
* IPUDataloader to IPUDataLoader
* align with mmcv
* adjust according to mmcv
* mmcv code structre fixed
Co-authored-by: hudi <dihu@graphcore.ai>
* [Fix] Fix lint and mmcv version requirement for IPU.
* Bump version to v0.23.0 (#809)
* Refacoter Wandb hook and refine docstring
Co-authored-by: XiaobingZhang <xiaobing.zhang@intel.com>
Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com>
Co-authored-by: Weihao Yu <1090924009@qq.com>
Co-authored-by: takuoko <to78314910@gmail.com>
Co-authored-by: Yu Zhaohui <1105212286@qq.com>
Co-authored-by: Hubert <42952108+yingfhu@users.noreply.github.com>
Co-authored-by: Hu Di <476658825@qq.com>
Co-authored-by: hudi <dihu@graphcore.ai>
* shuffle val data
* minor updates
* minor fix
Co-authored-by: Ma Zerun <mzr1996@163.com>
Co-authored-by: XiaobingZhang <xiaobing.zhang@intel.com>
Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com>
Co-authored-by: Weihao Yu <1090924009@qq.com>
Co-authored-by: takuoko <to78314910@gmail.com>
Co-authored-by: Yu Zhaohui <1105212286@qq.com>
Co-authored-by: Hubert <42952108+yingfhu@users.noreply.github.com>
Co-authored-by: Hu Di <476658825@qq.com>
Co-authored-by: hudi <dihu@graphcore.ai>
* [Refactor] Use mdformat instead of markdownlint to format markdown.
* Update unavailiable api links in tutorials
* Update CONTRIBUTING.md
* Use mdformat==0.7.9 to support Python 3.6
* implement training and evaluation on IPU
* fp16 SOTA
* Tput reaches 5600
* 123
* add poptorch dataloder
* change ipu_replicas to ipu-replicas
* add noqa to config long line(website)
* remove ipu dataloder test code
* del one blank line in test_builder
* refine the dataloder initialization
* fix a typo
* refine args for dataloder
* remove an annoted line
* process one more conflict
* adjust code structure in mmcv.ipu
* adjust ipu code structure in mmcv
* IPUDataloader to IPUDataLoader
* align with mmcv
* adjust according to mmcv
* mmcv code structre fixed
Co-authored-by: hudi <dihu@graphcore.ai>
* Support HRNet
* Add HRNet configs
* Fix a bug in backward
* Add configs and update docs.
* Not use bias in conv before batch norm
* Defaults to use `norm_eval=False`
* Add unit tests and support out_channels in HRFuseScales
* Update checkpoint path
* Update docstring.
* Remove incorrect files
* Improve according to comments
* Support ConvNeXt
* Add configs of ConvNeXt
* Update dev scripts
* Update docs.
* Use new style README
* Add unit tests.
* Update README
* Imporve according to comments
* Modify refers to timm.
* Imporve according to comments
Jihwan Eom
Ma Zerun
Ezra-Yu
Songyang Zhang
Hubert
Ezra-Yu
Ayush Thakur
Hu Di
takuoko
Hydrion-Qlz
kusakana
WINDSKY45
Zhicheng Chen
xiefeifeihu