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mmpretrain/model-index.yml

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[Feature] Adding PWC metafile (#225) * add yml * fix VGG * minor fix * add model zoo * add bs and epoch * revised according to comments * revised according to comments * revised according to comments
2021-04-28 17:07:26 +08:00
Import:
- configs/fp16/metafile.yml
- configs/mobilenet_v2/metafile.yml
- configs/resnet/metafile.yml
- configs/resnext/metafile.yml
- configs/seresnet/metafile.yml
- configs/shufflenet_v1/metafile.yml
- configs/shufflenet_v2/metafile.yml
[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
- configs/swin_transformer/metafile.yml
[Feature] Adding PWC metafile (#225) * add yml * fix VGG * minor fix * add model zoo * add bs and epoch * revised according to comments * revised according to comments * revised according to comments
2021-04-28 17:07:26 +08:00
- configs/vgg/metafile.yml
[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
- configs/repvgg/metafile.yml
[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
- configs/tnt/metafile.yml
[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
- configs/vision_transformer/metafile.yml