Commit Graph

5 Commits (f68f17e9bbc83091129739087240b17d361cc1ed)

Author SHA1 Message Date
Ma Zerun 2932f9d8a3
[Refactor] Refator ViT (Continue #295) (#395)
* [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.
2021-10-18 16:07:00 +08:00
zhangrui_wolf 90496b4687
[Feature] Add RepVGG backbone and checkpoints. (#414)
* Add RepVGG code.

* Add se_module as plugin.

* Add the repvggA0 primitive config

* Change repvggA0.py to fit mmcls

* Add RepVGG configs

* Add repvgg_to_mmcls

* Add tools/deployment/convert_repvggblock_param_to_deploy.py

* Change configs/repvgg/README.md

* Streamlining the number of configuration files.

* Fix lints

* Delete plugins

* Delete code about plugin.

* Modify the code for using se module.

* Modify config to fit repvgg with se.

* Change se_cfg to allow loading of pre-training parameters.

* Reduce the complexity of the configuration file.

* Finsh unitest for repvgg.

* Fix bug about se in repvgg_to_mmcls.

* Rename convert_repvggblock_param_to_deploy.py to reparameterize_repvgg.py, and delete setting about device.

* test commit

* test commit

* test commit command

* Modify repvgg.py to make the code more readable.

* Add value=0 in F.pad()

* Add se_cfg to arch_settings.

* Fix bug.

* modeify some attr name and Update unit tests

* rename stage_0 to stem and branch_identity to branch_norm

* update unit tests

* add m.eval in unit tests

* [Enhance] Enhence SE layer to support custom squeeze channels. (#417)

* add enhenced SE

* Update

* rm basechannel

* fix docstring

* Update se_layer.py

fix docstring

* [Docs] Add algorithm readme and update meta yml (#418)

* Add README.md for models without checkpoints.

* Update model-index.yml

* Update metafile.yml of seresnet

* [Enhance] Add `hparams` argument in `AutoAugment` and `RandAugment` and some other improvement. (#398)

* Add hparams argument in `AutoAugment` and `RandAugment`.

And `pad_val` supports sequence instead of tuple only.

* Add unit tests for `AutoAugment` and `hparams` in `RandAugment`.

* Use smaller test image to speed up uni tests.

* Use hparams to simplify RandAugment config in swin-transformer.

* Rename augment config name from `pipeline` to `pipelines`.

* Add some commnet ad docstring.

* [Feature] Support classwise weight in losses (#388)

* Add classwise weight in losses:CE,BCE,softBCE

* Update unit test

* rm some extra code

* rm some extra code

* fix broadcast

* fix broadcast

* update unit tests

* use new_tensor

* fix lint

* [Enhance] Better result visualization (#419)

* 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.

* Bump version to v0.15.0 (#426)

* [CI] Add PyTorch 1.9 and Python 3.9 build workflow, and remove some CI. (#422)

* Add PyTorch 1.9 build workflow, and remove some CI.

* Add Python 3.9 CI

* Show Python 3.9 support.

* [Enhance] Rename the option `--options` in some tools to `--cfg-options`. (#425)

* [Docs] Fix sphinx version (#429)

* [Docs] Add `CITATION.cff` (#428)

* Add CITATION.cff

* Fix typo in setup.py

* Change author in setup.py

* modeify some attr name and Update unit tests

* rename stage_0 to stem and branch_identity to branch_norm

* update unit tests

* add m.eval in unit tests

* Update unit tests

* refactor

* refactor

* Alignment inference accuracy

* Update configs, readme and metafile

* Update readme

* return tuple and fix metafile

* fix unit test

* rm regnet and classifiers changes

* update auto_aug

* update metafile & readme

* use delattr

* rename cfgs

* Update checkpoint url

* Update readme

* Rename config files.

* Update readme and metafile

* add comment

* Update mmcls/models/backbones/repvgg.py

Co-authored-by: Ma Zerun <mzr1996@163.com>

* Update docstring

* Improve docstring.

* Update unittest_testblock

Co-authored-by: Ezra-Yu <1105212286@qq.com>
Co-authored-by: Ma Zerun <mzr1996@163.com>
2021-09-29 11:06:23 +08:00
Ma Zerun 8f68779cc6
[Docs] Update metafile and Readme (#435)
* Update metafile format.

* Update accuracy of checkpoints.

* Add metafile and readme for tnt.

* Add converted ckpts in swin-transformer.

* Fix tnt ckpt link

* Update swin_transformer metafile
2021-09-18 16:32:46 +08:00
Ma Zerun a9d65271ab
[Docs] Add algorithm readme and update meta yml (#418)
* Add README.md for models without checkpoints.

* Update model-index.yml

* Update metafile.yml of seresnet
2021-08-24 17:46:46 +08:00
whcao 5a86288f1f
[Fix]Fix metafile (#335)
* add mytrain.py for test

* test before layers

* test attr in layers

* test classifier

* delete mytrain.py

* add mobilenet_v3.yml

* fix ymal

* rename model_zoo.yml to model-index.yml

* replace imagenet with imagenet-1k
2021-07-01 20:50:42 +08:00