mmpretrain/model-index.yml

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Import:
- configs/mobilenet_v2/metafile.yml
- configs/mobilenet_v3/metafile.yml
- configs/resnet/metafile.yml
- configs/res2net/metafile.yml
- configs/resnext/metafile.yml
- configs/seresnet/metafile.yml
- configs/shufflenet_v1/metafile.yml
- configs/shufflenet_v2/metafile.yml
- configs/swin_transformer/metafile.yml
- 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
- configs/tnt/metafile.yml
- configs/vision_transformer/metafile.yml
- configs/t2t_vit/metafile.yml
- configs/tinyvit/metafile.yml
- configs/mlp_mixer/metafile.yml
- configs/conformer/metafile.yml
- configs/regnet/metafile.yml
- configs/deit/metafile.yml
- configs/twins/metafile.yml
- configs/efficientnet/metafile.yml
- configs/convnext/metafile.yml
- configs/hrnet/metafile.yml
- configs/repmlp/metafile.yml
- configs/wrn/metafile.yml
- configs/van/metafile.yml
- configs/cspnet/metafile.yml
- configs/convmixer/metafile.yml
- configs/densenet/metafile.yml
- configs/poolformer/metafile.yml
2022-07-12 16:10:59 +08:00
- configs/inception_v3/metafile.yml
- configs/mvit/metafile.yml
- configs/edgenext/metafile.yml
- configs/mobileone/metafile.yml
- configs/efficientformer/metafile.yml
- configs/swin_transformer_v2/metafile.yml
- configs/deit3/metafile.yml
- configs/hornet/metafile.yml
- configs/mobilevit/metafile.yml
- configs/davit/metafile.yml
- configs/replknet/metafile.yml
- configs/csra/metafile.yml
- configs/beit/metafile.yml
- configs/beitv2/metafile.yml
- configs/eva/metafile.yml
- configs/revvit/metafile.yml
- configs/clip/metafile.yml
- configs/mixmim/metafile.yml
[Feature] [CodeCamp #68] Add EfficientnetV2 Backbone. (#1253) * add efficientnet_v2.py * add efficientnet_v2 in __init__.py * add efficientnet_v2_s base config file * add efficientnet_v2 config file * add efficientnet_v2 config file * update tuple output * update config file * update model file * update model file * update model file * update config file * update model file * update config file * update model file * update model file * update model file * update model file * update model file * update config file * update config file * update model file * update model file * update model file * update model file * update model config file * Update efficientnet_v2.py * add config file and modify arch * add config file and modify arch * add the file about convert_pth from timm to mmcls * update efficientnetv2 model file with mmcls style * add the file about convert_pth from timm to mmcls * add the file about convert_pth from timm to mmcls * update convert file * update model file * update convert file * update model file * update model file * update model file * add metefile and README * Update tools/model_converters/efficientnetv2-timm_to_mmcls.py Co-authored-by: Ezra-Yu <18586273+Ezra-Yu@users.noreply.github.com> * update model file and convert file * update model file and convert file * update model file and convert file * update model file and convert file * update model file * update model file * update model file * update config file and README file * update metafile * Update efficientnetv2_to_mmcls.py * update model-index.yml * update metafile.yml * update b0 and s train pipeline * update b0 and s train pipeline * update b0 and s train pipeline * add test_efficientnet_v2 * update test_efficientnet_v2 * update model file docs * update test_efficientnet_v2 * update test_efficientnet_v2 * add efficientnet_v2.py * add efficientnet_v2 in __init__.py * add efficientnet_v2_s base config file * add efficientnet_v2 config file * add efficientnet_v2 config file * update tuple output * update config file * update model file * update model file * update model file * update model file * update config file * update config file * update model file * update model file * update model file * update model file * update model file * update config file * update config file * update model file * update model file * update model file * update model file * update model config file * Update efficientnet_v2.py * add config file and modify arch * add config file and modify arch * add the file about convert_pth from timm to mmcls * update efficientnetv2 model file with mmcls style * add the file about convert_pth from timm to mmcls * add the file about convert_pth from timm to mmcls * update convert file * update model file * update convert file * update model file * update model file * update model file * add metefile and README * Update tools/model_converters/efficientnetv2-timm_to_mmcls.py Co-authored-by: Ezra-Yu <18586273+Ezra-Yu@users.noreply.github.com> * update model file and convert file * update model file and convert file * update model file and convert file * update model file and convert file * update model file * update model file * update model file * update config file and README file * update metafile * Update efficientnetv2_to_mmcls.py * update model-index.yml * update metafile.yml * update b0 and s train pipeline * update b0 and s train pipeline * update b0 and s train pipeline * add test_efficientnet_v2 * update test_efficientnet_v2 * update model file docs * update test_efficientnet_v2 * update test_efficientnet_v2 * pass pre-commit hook * refactor efficientnetv2 * refactor efficientnetv2 * update readme, metafile and weight links * update model-index.yml * fix lint * fix typo * Update efficientnetv2-b1_8xb32_in1k.py * Update efficientnetv2-b2_8xb32_in1k.py * Update efficientnetv2-b3_8xb32_in1k.py * update two moduals and model file * update modual file * update accuracys * update accuracys * update metafile * fix build docs * update links * update README.md Co-authored-by: qingtian <459291290@qq.com> Co-authored-by: Ezra-Yu <18586273+Ezra-Yu@users.noreply.github.com>
2022-12-30 15:18:39 +08:00
- configs/efficientnet_v2/metafile.yml