* 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
* 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
* 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.
* [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.
* implement the conformer
* format code style
* format code style
* reuse the TransformerEncoderLayer in the vision_transformer.py
* Modify variable name
* delete unused params
* Remove warning info in Conformer head since it already exists in
Conformer.
* Rename some variables
* Add unit tests
* Use `getattr` instead of `get_submodule`.
* Remove some useless layers
* Refactor conformer and add configs
* Update configs and add metafile.
* Fix unit tests
* Update README
Co-authored-by: mzr1996 <mzr1996@163.com>
* Update swin_transformer.py
fix bug;
layer_norm 0,1,2,3 will be the same and resulted in an error when out_indices dict exceed one element.
* fix bug, layer_norm 0,1,2,3
* Add unit tests for multiple out_indices
Co-authored-by: cxiang26 <cq.xiang@foxmail.com>
Co-authored-by: mzr1996 <mzr1996@163.com>
* fix dataset wrapper bug and add unit tests
* fix dataset wrapper bug and add unit tests
* update unit tests
* fix lint
* align interface to mmdet
* update unit tests
* refactor resize, test tobe done
* resize reimpl according to discussion; add pad
* minor fixes and add tests
* minor fixes on docstring
* add additional unit test
* reformat resize and pad
* revise code and docstr according to the comments
* add vis lr
* add doc
* Update doc and rm load_json_log in analysis
* Update docs
* add unit tests and update docstring
* fix unit-tests
* Use DummyIterBasedRunner and DummyEpochBasedRunner to simulate training
process.
* rm function val and add judge
* update docs
* improve english expression
* Update docs/tools/visualization.md
Co-authored-by: Ma Zerun <mzr1996@163.com>
* fix typo and ImageNet datasize
* fix typo
* update example
Co-authored-by: mzr1996 <mzr1996@163.com>
* add imagnet21k
* Update unit test
* update imaenet21k
* use slots
* use slots
* rename Data_item to ImageInfo
* add unit tests
* Update unit tests
* rm some print
* update unit tests
* fix lint
* remove default value of pipeline
* Add Res2Net from mmdet, and change it to mmcls style.
* Align structure with official repo
* Support `deep_stem` and `avg_down` option
* Add Res2Net configs
* Add metafile&README and update model zoo
* Add unit tests
* Imporve docstring.
* Improve according to comments.
* [Squash] Refator ViT (from #295)
* Use base variable to simplify auto_aug setting
* Use common PatchEmbed, remove HybridEmbed and refactor ViT init
structure.
* Add `output_cls_token` option and change the output format of ViT and
input format of ViT head.
* Update unit tests and add test for `output_cls_token`.
* Support out_indices.
* Standardize config files
* Support resize position embedding.
* Add readme file of vit
* Rename config file
* Improve docs about ViT.
* Update docstring
* Use local version `MultiheadAttention` instead of mmcv version.
* Fix MultiheadAttention
* Support `qk_scale` argument in `MultiheadAttention`
* Improve docs and change `layer_cfg` to `layer_cfgs` and support
sequence.
* Use init_cfg to init Linear layer in VisionTransformerHead
* update metafile
* Update checkpoints and configs
* Imporve docstring.
* Update README
* Revert GAP modification.
Ma Zerun
HumberMe
Ezra-Yu
takuoko
Zhicheng Chen
Yosuke Shinya
Yusuke Minami
Eduardo López
Zhiliang Peng
fangxu
juanjompz
LeoXing1996
xcnick