* 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>
* Update workflow to add Windows CI
* Add some optional requirements to requirements/optional.txt
* Update setup.py
* Update PyTorch version in Windows CI
* Update CI and requirement
* Replace `tempfile.NamedTemporaryFile` to avoid unit test error on
Windows
* Update tests
* Update CI
* Add OpenCV installation
* Update CI
* Add cosine cool down lr updater
* Use ema hook
* Update decay mult
* Update configs.
* Update T2T-ViT readme and format all readme
* Update swin readme
* Update tnt readme
* Add docstring for `CosineAnnealingCooldownLrUpdaterHook`.
* Update t2t readme and metafile
* [Enhance] Imporve efficiency of precision, recall, f1_score and support.
* Fix bugs
* Use np.maximum since torch doesn't have maximum before torch 1.7
* Fix bug
* impl lamb
* Add unit tests
* Fix unit test
* Fix unit tests
* Use list instead of tuple in `__all__` according to PEP8
Co-authored-by: mzr1996 <mzr1996@163.com>
* Added NumClassCheckHook and CI tests
* Added HOOKS local registry. NumClassCheckHook and unit test files redistribution.
* Extended hook for supporting IterRunner & EpochRunner. Extended unit test.
* Simplification of ClassNumCheckHook. Minor changes.
* Add `BaseImshowContextmanager` and `ImshowInfosContextManager` to reuse
matplotlib figure.
* Use context manager to implement `imshow_infos`
* Add unit tests.
* More general base context manager.
* unit tests for context manager.
* Improve docstring.
* Fix context manager exit cannot close figure when matplotlib>=3.4.0
* Fix unit tests
* Support inline backend in visualization.
* Imporve result visualization to support wait time and change the backend
to matplotlib.
* Add unit test for visualization
* Add adaptive dpi function
* Rename `imshow_cls_result` to `imshow_infos`.
* Support str in `imshow_infos`
* Improve docstring.
* Add API inference in the docs and fix readthedocs config.
* Replace some relative link in docs.
* Format docstring for reStructuredText syntax.
* Fix vit paper link
* Fix docstring of `show_results` function in `BaseClassifier`.
* resolve conflicts
add heads and config for multilabel tasks
* minor change
* remove evaluating mAP in head
* add baseline config
* add configs
* reserve only one config
* minor change
* fix minor bug
* minor change
* minor change
* add unittests and fix docstrings
* support thr
* replace thrs with thr
* fix docstring
* minor change
* revise according to comments
* revised according to comments
* revise according to comments
* rewrite basedataset.evaluate to avoid duplicate calculation
* minor change
* change thr to thrs
* add more unit test
* support support, support class-wise evaluation results and move eval_metrics.py
* Fix docstring
* change average to be non-optional
* revise according to comments
* add more unittest
* add mean_ap
* add difficult_examples in mAP to support dataset without difficult_examples
* fix docstring
* add CP,CR,CF1,OP,OR,OF1 as multilabel metrics
* fix docstring
* temporary solution to ci until new version of mmcv is avaliable (#127)
* temporary solution to ci until new version of mmcv is avaliable
* temporary solution to ci until new version of mmcv is avaliable
* add mean_ap
* add difficult_examples in mAP to support dataset without difficult_examples
* fix docstring
* add CP,CR,CF1,OP,OR,OF1 as multilabel metrics
* fix docstring
* Swap -1 and 0 for labels
* Revised according to comments
* Revised according to comments
* Revised according to comments
* Revert "Revised according to comments"
It is suggested that we should not include paper from arxiv.
This reverts commit 48a781cd6a.
* Revert "Revert "Revised according to comments""
This reverts commit 6d3b0f1a7b.
* Revert "Revised according to comments"
It is suggested we should not cite paper from arxiv.
This reverts commit 120ecda884.
* Revised according to comments
* revised according to comments
* Revised according to comments
* Use build_runner in train api
* Support iter in eval_hook
* Add runner section
* Add test_eval_hook
* Pin mmcv version in install docs
* Replace max_iters with max_epochs
* Set by_epoch=True as default
* Remove trailing space
* Replace DeprecationWarning with UserWarning
* pre-commit
* Fix tests
mzr1996
Ezra-Yu
yingfhu
Ayush Thakur
Hubert
Zhicheng Chen
Eduardo López
q.yao
QingChuanWS
mzr1996
LXXXXR
David de la Iglesia Castro
Kai Chen
yanglei
wangshiguang
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