* 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
* Support features_only in TIMMBackbone
based on https://github.com/open-mmlab/mmsegmentation/pull/998
* update test for mmdet
* fix unit test for build_without_timm
* Update docstring
Co-authored-by: mzr1996 <mzr1996@163.com>
* Support to use `indices` to specify which samples to evaluate.
* Add KFoldDataset wrapper
* Rename 'K' to 'num_splits' accroding to sklearn
* Add `kfold-cross-valid.py`
* Add unit tests
* Add help doc and docstring
* 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
* add cam-grad tool
* refactor cam-grad tool
* add docs
* update docs
* Update docs and support Transformer
* remove pictures and use link
* replace example img and finish EN docs
* improve docs
* improve code
* Fix MobileNet V3 configs
* Refactor to support more powerful feature extraction.
* Add unit tests
* Fix unit test
* fix distortion of visualization exapmles in docs
* fix distortion
* fix distortion
* fix distortion
* merge master
* merge fix conficts
* Imporve the tool
* Support use both attribute name and index to get layer
* add default get_target-layers
* add default get_target-layers
* update docs
* update docs
* add additional printt info when not using target-layers
* Imporve docs
* Fix enumerate list.
Co-authored-by: mzr1996 <mzr1996@163.com>
* sampler bugfixes
* sampler bugfixes
* reorganize code
* minor fixes
* reorganize code
* minor fixes
* Use `mmcv.runner.get_dist_info` instead of `dist` package to get rank
and world size.
* Add `build_dataloader` unit tests and fix sampler's unit tests.
* Fix unit tests
* Fix unit tests
Co-authored-by: mzr1996 <mzr1996@163.com>
* Fix MobileNet V3 configs
* Refactor to support more powerful feature extraction.
* Add unit tests
* Fix unit test
* Imporve according to comments
* Update checkpoints path
* Fix unit tests
* Add docstring of `simple_test`
* Add docstring of `extract_feat`
* Update model zoo
* Support DeiT backbone.
* Use hook to automatically resize pos embed
* Update ViT training setting
* Add deit configs and update docs
* Fix vit arch assertion
* Remove useless init function
* Add unit tests.
* Fix resize_pos_embed for DeiT
* Improve according to comments.
* [Docs] The template provides united Docs and OpenMMLab drop-lists in
banner. Remove them from our `conf.py`.
* Move docs of different languages to the same folder
* [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>