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[Docs] Update links (#1457) 

* update links

* update readtherdocs

* update

* update

* fix lint

* update

* update

* update

* update cov branch

* update

* update

* update
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Yixiao Fang 2023-04-06 20:58:52 +08:00 committed by GitHub
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.dev_scripts/generate_readme.py
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@ -61,7 +61,7 @@ print(type(feats))
TRAIN_TEST_TEMPLATE = """\
**Train/Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Train:
@ -79,7 +79,7 @@ python tools/test.py {test_config} {test_weights}
TEST_ONLY_TEMPLATE = """\
**Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Test:

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.github/ISSUE_TEMPLATE/config.yml vendored
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@ -1,6 +1,6 @@
blank_issues_enabled: false
contact_links:
- name: MMClassification Documentation
url: https://mmclassification.readthedocs.io/en/latest/
- name: MMPreTrain Documentation
url: https://mmpretrain.readthedocs.io/en/latest/
about: Check if your question is answered in docs

8
CITATION.cff
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@ -1,9 +1,9 @@
cff-version: 1.2.0
message: "If you use this software, please cite it as below."
title: "OpenMMLab's Image Classification Toolbox and Benchmark"
title: "OpenMMLab's Pre-training Toolbox and Benchmark"
authors:
- name: "MMClassification Contributors"
- name: "MMPreTrain Contributors"
version: 0.15.0
date-released: 2020-07-09
repository-code: "https://github.com/open-mmlab/mmclassification"
date-released: 2023-04-06
repository-code: "https://github.com/open-mmlab/mmpretrain"
license: Apache-2.0

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CONTRIBUTING.md
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@ -1,13 +1,13 @@
# Contributing to MMClassification
# Contributing to MMPreTrain
- [Contributing to MMClassification](#contributing-to-mmclassification)
- [Contributing to MMPreTrain](#contributing-to-mmpretrain)
- [Workflow](#workflow)
- [Code style](#code-style)
- [Python](#python)
- [C++ and CUDA](#c-and-cuda)
- [Pre-commit Hook](#pre-commit-hook)
Thanks for your interest in contributing to MMClassification! All kinds of contributions are welcome, including but not limited to the following.
Thanks for your interest in contributing to MMPreTrain! All kinds of contributions are welcome, including but not limited to the following.
- Fix typo or bugs
- Add documentation or translate the documentation into other languages
@ -17,7 +17,7 @@ Thanks for your interest in contributing to MMClassification! All kinds of contr
We recommend the potential contributors follow this workflow for contribution.
1. Fork and pull the latest MMClassification repository, follow [get started](https://mmclassification.readthedocs.io/en/1.x/get_started.html) to setup the environment.
1. Fork and pull the latest MMPreTrain repository, follow [get started](https://mmpretrain.readthedocs.io/en/latest/get_started.html) to setup the environment.
2. Checkout a new branch (**do not use the master or dev branch** for PRs)
```bash
@ -44,7 +44,7 @@ We use the following tools for linting and formatting:
- [mdformat](https://github.com/executablebooks/mdformat): Mdformat is an opinionated Markdown formatter that can be used to enforce a consistent style in Markdown files.
- [docformatter](https://github.com/myint/docformatter): A formatter to format docstring.
Style configurations of yapf and isort can be found in [setup.cfg](https://github.com/open-mmlab/mmclassification/blob/1.x/setup.cfg).
Style configurations of yapf and isort can be found in [setup.cfg](https://github.com/open-mmlab/mmpretrain/blob/main/setup.cfg).
### C++ and CUDA
@ -54,7 +54,7 @@ We follow the [Google C++ Style Guide](https://google.github.io/styleguide/cppgu
We use [pre-commit hook](https://pre-commit.com/) that checks and formats for `flake8`, `yapf`, `isort`, `trailing whitespaces`, `markdown files`,
fixes `end-of-files`, `double-quoted-strings`, `python-encoding-pragma`, `mixed-line-ending`, sorts `requirments.txt` automatically on every commit.
The config for a pre-commit hook is stored in [.pre-commit-config](https://github.com/open-mmlab/mmclassification/blob/1.x/.pre-commit-config.yaml).
The config for a pre-commit hook is stored in [.pre-commit-config](https://github.com/open-mmlab/mmpretrain/blob/main/.pre-commit-config.yaml).
After you clone the repository, you will need to install initialize pre-commit hook.

2
LICENSE
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@ -188,7 +188,7 @@ Copyright (c) OpenMMLab. All rights reserved
same "printed page" as the copyright notice for easier
identification within third-party archives.
Copyright 2020 MMClassification Authors.
Copyright 2020 MMPreTrain Authors.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.

60
README.md
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@ -20,18 +20,18 @@
<div>&nbsp;</div>
[![PyPI](https://img.shields.io/pypi/v/mmpretrain)](https://pypi.org/project/mmpretrain)
[![Docs](https://img.shields.io/badge/docs-latest-blue)](https://mmclassification.readthedocs.io/en/1.x/)
[![Build Status](https://github.com/open-mmlab/mmclassification/workflows/build/badge.svg)](https://github.com/open-mmlab/mmclassification/actions)
[![codecov](https://codecov.io/gh/open-mmlab/mmclassification/branch/1.x/graph/badge.svg)](https://codecov.io/gh/open-mmlab/mmclassification)
[![license](https://img.shields.io/github/license/open-mmlab/mmclassification.svg)](https://github.com/open-mmlab/mmclassification/blob/1.x/LICENSE)
[![open issues](https://isitmaintained.com/badge/open/open-mmlab/mmclassification.svg)](https://github.com/open-mmlab/mmclassification/issues)
[![issue resolution](https://isitmaintained.com/badge/resolution/open-mmlab/mmclassification.svg)](https://github.com/open-mmlab/mmclassification/issues)
[![Docs](https://img.shields.io/badge/docs-latest-blue)](https://mmpretrain.readthedocs.io/en/latest/)
[![Build Status](https://github.com/open-mmlab/mmpretrain/workflows/build/badge.svg)](https://github.com/open-mmlab/mmpretrain/actions)
[![codecov](https://codecov.io/gh/open-mmlab/mmpretrain/branch/main/graph/badge.svg)](https://codecov.io/gh/open-mmlab/mmpretrain)
[![license](https://img.shields.io/github/license/open-mmlab/mmpretrain.svg)](https://github.com/open-mmlab/mmpretrain/blob/main/LICENSE)
[![open issues](https://isitmaintained.com/badge/open/open-mmlab/mmpretrain.svg)](https://github.com/open-mmlab/mmpretrain/issues)
[![issue resolution](https://isitmaintained.com/badge/resolution/open-mmlab/mmpretrain.svg)](https://github.com/open-mmlab/mmpretrain/issues)
[📘 Documentation](https://mmclassification.readthedocs.io/en/1.x/) |
[🛠️ Installation](https://mmclassification.readthedocs.io/en/dev-1.x/get_started.html#installation) |
[👀 Model Zoo](https://mmclassification.readthedocs.io/en/1.x/modelzoo_statistics.html) |
[🆕 Update News](https://mmclassification.readthedocs.io/en/1.x/notes/changelog.html) |
[🤔 Reporting Issues](https://github.com/open-mmlab/mmclassification/issues/new/choose)
[📘 Documentation](https://mmpretrain.readthedocs.io/en/latest/) |
[🛠️ Installation](https://mmpretrain.readthedocs.io/en/latest/get_started.html#installation) |
[👀 Model Zoo](https://mmpretrain.readthedocs.io/en/latest/modelzoo_statistics.html) |
[🆕 Update News](https://mmpretrain.readthedocs.io/en/latest/notes/changelog.html) |
[🤔 Reporting Issues](https://github.com/open-mmlab/mmpretrain/issues/new/choose)
<img src="https://user-images.githubusercontent.com/36138628/230307505-4727ad0a-7d71-4069-939d-b499c7e272b7.png" width="400"/>
@ -91,15 +91,15 @@ Previous version update
- Support confusion matrix calculation and plot.
- Support **multi-task** training and testing.
- Support Test-time Augmentation.
- Upgrade API to get pre-defined models of MMClassification.
- Upgrade API to get pre-defined models of MMPreTrain.
- Refactor BEiT backbone and support v1/v2 inference.
This release introduced a brand new and flexible training & test engine, but it's still in progress. Welcome
to try according to [the documentation](https://mmclassification.readthedocs.io/en/1.x/).
to try according to [the documentation](https://mmpretrain.readthedocs.io/en/latest/).
And there are some BC-breaking changes. Please check [the migration tutorial](https://mmclassification.readthedocs.io/en/1.x/migration.html).
And there are some BC-breaking changes. Please check [the migration tutorial](https://mmpretrain.readthedocs.io/en/latest/migration.html).
Please refer to [changelog](https://mmclassification.readthedocs.io/en/1.x/notes/changelog.html) for more details and other release history.
Please refer to [changelog](https://mmpretrain.readthedocs.io/en/latest/notes/changelog.html) for more details and other release history.
## Installation
@ -114,24 +114,24 @@ cd mmpretrain
mim install -e .
```
Please refer to [installation documentation](https://mmclassification.readthedocs.io/en/1.x/get_started.html) for more detailed installation and dataset preparation.
Please refer to [installation documentation](https://mmpretrain.readthedocs.io/en/latest/get_started.html) for more detailed installation and dataset preparation.
## User Guides
We provided a series of tutorials about the basic usage of MMPreTrain for new users:
- [Learn about Configs](https://mmclassification.readthedocs.io/en/1.x/user_guides/config.html)
- [Prepare Dataset](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html)
- [Inference with existing models](https://mmclassification.readthedocs.io/en/1.x/user_guides/inference.html)
- [Train](https://mmclassification.readthedocs.io/en/pretrain/user_guides/train.html)
- [Test](https://mmclassification.readthedocs.io/en/pretrain/user_guides/test.html)
- [Downstream tasks](https://mmclassification.readthedocs.io/en/pretrain/user_guides/downstream.html)
- [Learn about Configs](https://mmpretrain.readthedocs.io/en/latest/user_guides/config.html)
- [Prepare Dataset](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html)
- [Inference with existing models](https://mmpretrain.readthedocs.io/en/latest/user_guides/inference.html)
- [Train](https://mmpretrain.readthedocs.io/en/pretrain/user_guides/train.html)
- [Test](https://mmpretrain.readthedocs.io/en/pretrain/user_guides/test.html)
- [Downstream tasks](https://mmpretrain.readthedocs.io/en/pretrain/user_guides/downstream.html)
For more information, please refer to [our documentation](https://mmclassification.readthedocs.io/en/pretrain/).
For more information, please refer to [our documentation](https://mmpretrain.readthedocs.io/en/pretrain/).
## Model zoo
Results and models are available in the [model zoo](https://mmclassification.readthedocs.io/en/1.x/modelzoo_statistics.html).
Results and models are available in the [model zoo](https://mmpretrain.readthedocs.io/en/latest/modelzoo_statistics.html).
<div align="center">
<b>Overview</b>
@ -242,7 +242,7 @@ Results and models are available in the [model zoo](https://mmclassification.rea
## Contributing
We appreciate all contributions to improve MMPreTrain.
Please refer to [CONTRUBUTING](https://mmclassification.readthedocs.io/en/1.x/notes/contribution_guide.html) for the contributing guideline.
Please refer to [CONTRUBUTING](https://mmpretrain.readthedocs.io/en/latest/notes/contribution_guide.html) for the contributing guideline.
## Acknowledgement
@ -254,11 +254,11 @@ We wish that the toolbox and benchmark could serve the growing research communit
If you find this project useful in your research, please consider cite:
```BibTeX
@misc{2020mmclassification,
title={OpenMMLab's Image Classification Toolbox and Benchmark},
author={MMClassification Contributors},
howpublished = {\url{https://github.com/open-mmlab/mmclassification}},
year={2020}
@misc{2023mmpretrain,
title={OpenMMLab's Pre-training Toolbox and Benchmark},
author={MMPreTrain Contributors},
howpublished = {\url{https://github.com/open-mmlab/mmpretrain}},
year={2023}
}
```

60
README_zh-CN.md
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@ -20,18 +20,18 @@
<div>&nbsp;</div>
[![PyPI](https://img.shields.io/pypi/v/mmpretrain)](https://pypi.org/project/mmpretrain)
[![Docs](https://img.shields.io/badge/docs-latest-blue)](https://mmclassification.readthedocs.io/zh_CN/1.x/)
[![Build Status](https://github.com/open-mmlab/mmclassification/workflows/build/badge.svg)](https://github.com/open-mmlab/mmclassification/actions)
[![codecov](https://codecov.io/gh/open-mmlab/mmclassification/branch/1.x/graph/badge.svg)](https://codecov.io/gh/open-mmlab/mmclassification)
[![license](https://img.shields.io/github/license/open-mmlab/mmclassification.svg)](https://github.com/open-mmlab/mmclassification/blob/1.x/LICENSE)
[![open issues](https://isitmaintained.com/badge/open/open-mmlab/mmclassification.svg)](https://github.com/open-mmlab/mmclassification/issues)
[![issue resolution](https://isitmaintained.com/badge/resolution/open-mmlab/mmclassification.svg)](https://github.com/open-mmlab/mmclassification/issues)
[![Docs](https://img.shields.io/badge/docs-latest-blue)](https://mmpretrain.readthedocs.io/zh_CN/latest/)
[![Build Status](https://github.com/open-mmlab/mmpretrain/workflows/build/badge.svg)](https://github.com/open-mmlab/mmpretrain/actions)
[![codecov](https://codecov.io/gh/open-mmlab/mmpretrain/branch/main/graph/badge.svg)](https://codecov.io/gh/open-mmlab/mmpretrain)
[![license](https://img.shields.io/github/license/open-mmlab/mmpretrain.svg)](https://github.com/open-mmlab/mmpretrain/blob/main/LICENSE)
[![open issues](https://isitmaintained.com/badge/open/open-mmlab/mmpretrain.svg)](https://github.com/open-mmlab/mmpretrain/issues)
[![issue resolution](https://isitmaintained.com/badge/resolution/open-mmlab/mmpretrain.svg)](https://github.com/open-mmlab/mmpretrain/issues)
[📘 中文文档](https://mmclassification.readthedocs.io/zh_CN/1.x/) |
[🛠️ 安装教程](https://mmclassification.readthedocs.io/zh_CN/1.x/get_started.html) |
[👀 模型库](https://mmclassification.readthedocs.io/zh_CN/1.x/modelzoo_statistics.html) |
[🆕 更新日志](https://mmclassification.readthedocs.io/zh_CN/1.x/notes/changelog.html) |
[🤔 报告问题](https://github.com/open-mmlab/mmclassification/issues/new/choose)
[📘 中文文档](https://mmpretrain.readthedocs.io/zh_CN/latest/) |
[🛠️ 安装教程](https://mmpretrain.readthedocs.io/zh_CN/latest/get_started.html) |
[👀 模型库](https://mmpretrain.readthedocs.io/zh_CN/latest/modelzoo_statistics.html) |
[🆕 更新日志](https://mmpretrain.readthedocs.io/zh_CN/latest/notes/changelog.html) |
[🤔 报告问题](https://github.com/open-mmlab/mmpretrain/issues/new/choose)
<img src="https://user-images.githubusercontent.com/36138628/230307505-4727ad0a-7d71-4069-939d-b499c7e272b7.png" width="400"/>
@ -89,14 +89,14 @@ MMPreTrain 是一款基于 PyTorch 的开源深度学习预训练工具箱，是
- 支持混淆矩阵计算和画图。
- 支持了 **多任务** 训练和测试。
- 支持了测试时增强（TTA）。
- 更新了主要 API 接口，用以方便地获取 MMClassification 中预定义的模型。
- 更新了主要 API 接口，用以方便地获取 MMPreTrain 中预定义的模型。
- 重构 BEiT 主干网络结构，并支持 v1 和 v2 模型的推理。
这个版本引入一个全新的，可扩展性强的训练和测试引擎，但目前仍在开发中。欢迎根据 [文档](https://mmclassification.readthedocs.io/zh_CN/1.x/) 进行试用。
这个版本引入一个全新的，可扩展性强的训练和测试引擎，但目前仍在开发中。欢迎根据 [文档](https://mmpretrain.readthedocs.io/zh_CN/latest/) 进行试用。
同时，新版本中存在一些与旧版本不兼容的修改。请查看 [迁移文档](https://mmclassification.readthedocs.io/zh_CN/1.x/migration.html) 来详细了解这些变动。
同时，新版本中存在一些与旧版本不兼容的修改。请查看 [迁移文档](https://mmpretrain.readthedocs.io/zh_CN/latest/migration.html) 来详细了解这些变动。
发布历史和更新细节请参考 [更新日志](https://mmclassification.readthedocs.io/zh_CN/1.x/notes/changelog.html)。
发布历史和更新细节请参考 [更新日志](https://mmpretrain.readthedocs.io/zh_CN/latest/notes/changelog.html)。
## 安装
@ -111,24 +111,24 @@ cd mmpretrain
mim install -e .
```
更详细的步骤请参考 [安装指南](https://mmclassification.readthedocs.io/zh_CN/1.x/get_started.html) 进行安装。
更详细的步骤请参考 [安装指南](https://mmpretrain.readthedocs.io/zh_CN/latest/get_started.html) 进行安装。
## 基础教程
我们为新用户提供了一系列基础教程：
- [学习配置文件](https://mmclassification.readthedocs.io/zh_CN/1.x/user_guides/config.html)
- [准备数据集](https://mmclassification.readthedocs.io/zh_CN/1.x/user_guides/dataset_prepare.html)
- [使用现有模型推理](https://mmclassification.readthedocs.io/zh_CN/1.x/user_guides/inference.html)
- [训练](https://mmclassification.readthedocs.io/zh_CN/pretrain/user_guides/train.html)
- [测试](https://mmclassification.readthedocs.io/zh_CN/pretrain/user_guides/test.html)
- [下游任务](https://mmclassification.readthedocs.io/zh_CN/pretrain/user_guides/downstream.html)
- [学习配置文件](https://mmpretrain.readthedocs.io/zh_CN/latest/user_guides/config.html)
- [准备数据集](https://mmpretrain.readthedocs.io/zh_CN/latest/user_guides/dataset_prepare.html)
- [使用现有模型推理](https://mmpretrain.readthedocs.io/zh_CN/latest/user_guides/inference.html)
- [训练](https://mmpretrain.readthedocs.io/zh_CN/pretrain/user_guides/train.html)
- [测试](https://mmpretrain.readthedocs.io/zh_CN/pretrain/user_guides/test.html)
- [下游任务](https://mmpretrain.readthedocs.io/zh_CN/pretrain/user_guides/downstream.html)
关于更多的信息，请查阅我们的 [相关文档](https://mmclassification.readthedocs.io/zh_CN/pretrain/)。
关于更多的信息，请查阅我们的 [相关文档](https://mmpretrain.readthedocs.io/zh_CN/pretrain/)。
## 模型库
相关结果和模型可在 [模型库](https://mmclassification.readthedocs.io/zh_CN/1.x/modelzoo_statistics.html) 中获得。
相关结果和模型可在 [模型库](https://mmpretrain.readthedocs.io/zh_CN/latest/modelzoo_statistics.html) 中获得。
<div align="center">
<b>概览</b>
@ -237,7 +237,7 @@ mim install -e .
## 参与贡献
我们非常欢迎任何有助于提升 MMPreTrain 的贡献，请参考 [贡献指南](https://mmclassification.readthedocs.io/zh_CN/1.x/notes/contribution_guide.html) 来了解如何参与贡献。
我们非常欢迎任何有助于提升 MMPreTrain 的贡献，请参考 [贡献指南](https://mmpretrain.readthedocs.io/zh_CN/latest/notes/contribution_guide.html) 来了解如何参与贡献。
## 致谢
@ -249,11 +249,11 @@ MMPreTrain 是一款由不同学校和公司共同贡献的开源项目。我们
如果你在研究中使用了本项目的代码或者性能基准，请参考如下 bibtex 引用 MMPreTrain。
```BibTeX
@misc{2020mmclassification,
title={OpenMMLab's Image Classification Toolbox and Benchmark},
author={MMClassification Contributors},
howpublished = {\url{https://github.com/open-mmlab/mmclassification}},
year={2020}
@misc{2023mmpretrain,
title={OpenMMLab's Pre-training Toolbox and Benchmark},
author={MMPreTrain Contributors},
howpublished = {\url{https://github.com/open-mmlab/mmpretrain}},
year={2023}
}
```

2
configs/arcface/README.md
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@ -44,7 +44,7 @@ print(type(feats))
**Train/Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Train:

2
configs/arcface/metafile.yml
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@ -10,7 +10,7 @@ Collections:
README: configs/arcface/README.md
Code:
Version: v1.0.0rc3
URL: https://github.com/open-mmlab/mmclassification/blob/v1.0.0rc3/mmcls/models/heads/margin_head.py
URL: https://github.com/open-mmlab/mmpretrain/blob/v1.0.0rc3/mmcls/models/heads/margin_head.py
Models:
- Name: resnet50-arcface_8xb32_inshop

2
configs/barlowtwins/README.md
View File

@ -43,7 +43,7 @@ print(type(feats))
**Train/Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Train:

2
configs/beit/README.md
View File

@ -43,7 +43,7 @@ print(type(feats))
**Train/Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Train:

1
configs/beit/benchmarks/beit-base-p16_8xb128-coslr-100e_in1k.py
View File

@ -1,4 +1,3 @@
# mmcls:: means we use the default settings from MMClassification
_base_ = [
'../../_base_/datasets/imagenet_bs64_swin_224.py',
'../../_base_/schedules/imagenet_bs1024_adamw_swin.py',

2
configs/beit/metafile.yml
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@ -16,7 +16,7 @@ Collections:
URL: https://arxiv.org/abs/2106.08254
README: configs/beit/README.md
Code:
URL: https://github.com/open-mmlab/mmclassification/blob/dev-1.x/mmcls/models/backbones/beit.py
URL: https://github.com/open-mmlab/mmpretrain/blob/main/mmpretrain/models/backbones/beit.py
Version: v1.0.0rc4
Models:

2
configs/beitv2/README.md
View File

@ -43,7 +43,7 @@ print(type(feats))
**Train/Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Train:

2
configs/beitv2/metafile.yml
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@ -16,7 +16,7 @@ Collections:
URL: https://arxiv.org/abs/2208.06366
README: configs/beitv2/README.md
Code:
URL: https://github.com/open-mmlab/mmclassification/blob/dev-1.x/mmcls/models/backbones/beit.py
URL: https://github.com/open-mmlab/mmpretrain/blob/main/mmpretrain/models/backbones/beit.py
Version: v1.0.0rc4
Models:

2
configs/byol/README.md
View File

@ -43,7 +43,7 @@ print(type(feats))
**Train/Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Train:

2
configs/cae/README.md
View File

@ -43,7 +43,7 @@ print(type(feats))
**Train/Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Train:

2
configs/clip/README.md
View File

@ -43,7 +43,7 @@ print(type(feats))
**Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Test:

2
configs/clip/metafile.yml
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@ -16,7 +16,7 @@ Collections:
URL: https://arxiv.org/abs/2103.00020
README: configs/clip/README.md
Code:
URL: https://github.com/open-mmlab/mmclassification/blob/dev-1.x/mmcls/models/backbones/vision_transformer.py
URL: https://github.com/open-mmlab/mmpretrain/blob/main/mmpretrain/models/backbones/vision_transformer.py
Version: v1.0.0
Models:

2
configs/conformer/README.md
View File

@ -43,7 +43,7 @@ print(type(feats))
**Train/Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Train:

2
configs/conformer/metafile.yml
View File

@ -11,7 +11,7 @@ Collections:
Title: "Conformer: Local Features Coupling Global Representations for Visual Recognition"
README: configs/conformer/README.md
Code:
URL: https://github.com/open-mmlab/mmclassification/blob/v0.19.0/mmcls/models/backbones/conformer.py
URL: https://github.com/open-mmlab/mmpretrain/blob/v0.19.0/mmcls/models/backbones/conformer.py
Version: v0.19.0
Models:

2
configs/convmixer/README.md
View File

@ -43,7 +43,7 @@ print(type(feats))
**Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Test:

2
configs/convnext/README.md
View File

@ -55,7 +55,7 @@ print(type(feats))
**Train/Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Train:

2
configs/convnext/metafile.yml
View File

@ -11,7 +11,7 @@ Collections:
README: configs/convnext/README.md
Code:
Version: v0.20.1
URL: https://github.com/open-mmlab/mmclassification/blob/v0.20.1/mmcls/models/backbones/convnext.py
URL: https://github.com/open-mmlab/mmpretrain/blob/v0.20.1/mmcls/models/backbones/convnext.py
Models:
- Name: convnext-tiny_32xb128_in1k

2
configs/convnext_v2/README.md
View File

@ -43,7 +43,7 @@ print(type(feats))
**Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Test:

2
configs/cspnet/README.md
View File

@ -43,7 +43,7 @@ print(type(feats))
**Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Test:

2
configs/cspnet/metafile.yml
View File

@ -10,7 +10,7 @@ Collections:
README: configs/cspnet/README.md
Code:
Version: v0.22.0
URL: https://github.com/open-mmlab/mmclassification/blob/v0.22.0/mmcls/models/backbones/cspnet.py
URL: https://github.com/open-mmlab/mmpretrain/blob/v0.22.0/mmcls/models/backbones/cspnet.py
Models:
- Name: cspdarknet50_3rdparty_8xb32_in1k

2
configs/csra/README.md
View File

@ -33,7 +33,7 @@ print(type(feats))
**Train/Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Train:

2
configs/csra/metafile.yml
View File

@ -10,7 +10,7 @@ Collections:
README: configs/csra/README.md
Code:
Version: v0.24.0
URL: https://github.com/open-mmlab/mmclassification/blob/v0.24.0/mmcls/models/heads/multi_label_csra_head.py
URL: https://github.com/open-mmlab/mmpretrain/blob/v0.24.0/mmcls/models/heads/multi_label_csra_head.py
Models:
- Name: resnet101-csra_1xb16_voc07-448px

2
configs/davit/README.md
View File

@ -43,7 +43,7 @@ print(type(feats))
**Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Test:

2
configs/davit/metafile.yml
View File

@ -11,7 +11,7 @@ Collections:
Title: 'DaViT: Dual Attention Vision Transformers'
README: configs/davit/README.md
Code:
URL: https://github.com/open-mmlab/mmclassification/blob/v1.0.0rc3/mmcls/models/backbones/davit.py
URL: https://github.com/open-mmlab/mmpretrain/blob/v1.0.0rc3/mmcls/models/backbones/davit.py
Version: v1.0.0rc3
Models:

2
configs/deit/README.md
View File

@ -43,7 +43,7 @@ print(type(feats))
**Train/Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Train:

2
configs/deit/metafile.yml
View File

@ -13,7 +13,7 @@ Collections:
README: configs/deit/README.md
Code:
URL: v0.19.0
Version: https://github.com/open-mmlab/mmclassification/blob/v0.19.0/mmcls/models/backbones/deit.py
Version: https://github.com/open-mmlab/mmpretrain/blob/v0.19.0/mmcls/models/backbones/deit.py
Models:
- Name: deit-tiny_4xb256_in1k

2
configs/deit3/README.md
View File

@ -43,7 +43,7 @@ print(type(feats))
**Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Test:

2
configs/deit3/metafile.yml
View File

@ -16,7 +16,7 @@ Collections:
Title: 'DeiT III: Revenge of the ViT'
README: configs/deit3/README.md
Code:
URL: https://github.com/open-mmlab/mmclassification/blob/v1.0.0rc2/mmcls/models/backbones/deit3.py
URL: https://github.com/open-mmlab/mmpretrain/blob/v1.0.0rc2/mmcls/models/backbones/deit3.py
Version: v1.0.0rc2
Models:

2
configs/densecl/README.md
View File

@ -43,7 +43,7 @@ print(type(feats))
**Train/Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Train:

2
configs/densenet/README.md
View File

@ -43,7 +43,7 @@ print(type(feats))
**Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Test:

2
configs/edgenext/README.md
View File

@ -43,7 +43,7 @@ print(type(feats))
**Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Test:

2
configs/edgenext/metafile.yml
View File

@ -12,7 +12,7 @@ Collections:
README: configs/edgenext/README.md
Code:
Version: v1.0.0rc1
URL: https://github.com/open-mmlab/mmclassification/blob/v0.23.2/mmcls/models/backbones/edgenext.py
URL: https://github.com/open-mmlab/mmpretrain/blob/v0.23.2/mmcls/models/backbones/edgenext.py
Models:
- Name: edgenext-xxsmall_3rdparty_in1k

2
configs/efficientformer/README.md
View File

@ -43,7 +43,7 @@ print(type(feats))
**Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Test:

2
configs/efficientformer/metafile.yml
View File

@ -13,7 +13,7 @@ Collections:
README: configs/efficientformer/README.md
Code:
Version: v1.0.0rc1
URL: https://github.com/open-mmlab/mmclassification/blob/v1.0.0rc1/configs/efficientformer/metafile.yml
URL: https://github.com/open-mmlab/mmpretrain/blob/v1.0.0rc1/configs/efficientformer/metafile.yml
Models:
- Name: efficientformer-l1_3rdparty_8xb128_in1k

2
configs/efficientnet/README.md
View File

@ -56,7 +56,7 @@ print(type(feats))
**Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Test:

2
configs/efficientnet/metafile.yml
View File

@ -18,7 +18,7 @@ Collections:
README: configs/efficientnet/README.md
Code:
Version: v0.20.1
URL: https://github.com/open-mmlab/mmclassification/blob/v0.20.1/mmcls/models/backbones/efficientnet.py
URL: https://github.com/open-mmlab/mmpretrain/blob/v0.20.1/mmcls/models/backbones/efficientnet.py
Models:
- Name: efficientnet-b0_3rdparty_8xb32_in1k

2
configs/efficientnet_v2/README.md
View File

@ -43,7 +43,7 @@ print(type(feats))
**Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Test:

2
configs/efficientnet_v2/metafile.yml
View File

@ -17,7 +17,7 @@ Collections:
Title: "EfficientNetV2: Smaller Models and Faster Training"
README: configs/efficientnet_v2/README.md
Code:
URL: https://github.com/open-mmlab/mmclassification/blob/dev-1.x/mmcls/models/backbones/beit.py
URL: https://github.com/open-mmlab/mmpretrain/blob/main/mmpretrain/models/backbones/beit.py
Version: v1.0.0rc4
Models:

2
configs/eva/README.md
View File

@ -43,7 +43,7 @@ print(type(feats))
**Train/Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Train:

2
configs/hornet/README.md
View File

@ -43,7 +43,7 @@ print(type(feats))
**Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Test:

2
configs/hornet/metafile.yml
View File

@ -14,7 +14,7 @@ Collections:
README: configs/hornet/README.md
Code:
Version: v0.24.0
URL: https://github.com/open-mmlab/mmclassification/blob/v0.24.0/mmcls/models/backbones/hornet.py
URL: https://github.com/open-mmlab/mmpretrain/blob/v0.24.0/mmcls/models/backbones/hornet.py
Models:
- Name: hornet-tiny_3rdparty_in1k

2
configs/hrnet/README.md
View File

@ -43,7 +43,7 @@ print(type(feats))
**Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Test:

2
configs/hrnet/metafile.yml
View File

@ -12,7 +12,7 @@ Collections:
Title: "Deep High-Resolution Representation Learning for Visual Recognition"
README: configs/hrnet/README.md
Code:
URL: https://github.com/open-mmlab/mmclassification/blob/v0.20.1/mmcls/models/backbones/hrnet.py
URL: https://github.com/open-mmlab/mmpretrain/blob/v0.20.1/mmcls/models/backbones/hrnet.py
Version: v0.20.1
Models:

2
configs/inception_v3/README.md
View File

@ -43,7 +43,7 @@ print(type(feats))
**Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Test:

2
configs/inception_v3/metafile.yml
View File

@ -15,7 +15,7 @@ Collections:
Title: "Rethinking the Inception Architecture for Computer Vision"
README: configs/inception_v3/README.md
Code:
URL: https://github.com/open-mmlab/mmclassification/blob/v1.0.0rc1/configs/inception_v3/metafile.yml
URL: https://github.com/open-mmlab/mmpretrain/blob/v1.0.0rc1/configs/inception_v3/metafile.yml
Version: v1.0.0rc1
Models:

2
configs/levit/README.md
View File

@ -43,7 +43,7 @@ print(type(feats))
**Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Test:

2
configs/levit/metafile.yml
View File

@ -10,7 +10,7 @@ Collections:
URL: https://arxiv.org/abs/2104.01136
README: configs/levit/README.md
Code:
URL: https://github.com/open-mmlab/mmclassification/blob/dev-1.x/mmcls/models/backbones/levit.py
URL: https://github.com/open-mmlab/mmpretrain/blob/main/mmpretrain/models/backbones/levit.py
Version: v1.0.0rc5
Models:

2
configs/mae/README.md
View File

@ -58,7 +58,7 @@ print(type(feats))
**Train/Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Train:

2
configs/maskfeat/README.md
View File

@ -43,7 +43,7 @@ print(type(feats))
**Train/Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Train:

2
configs/milan/README.md
View File

@ -61,7 +61,7 @@ print(type(feats))
**Train/Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Train:

2
configs/mixmim/README.md
View File

@ -60,7 +60,7 @@ print(type(feats))
**Train/Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Train:

2
configs/mixmim/metafile.yml
View File

@ -17,7 +17,7 @@ Collections:
URL: https://arxiv.org/abs/2205.13137
README: configs/mixmim/README.md
Code:
URL: https://github.com/open-mmlab/mmclassification/blob/dev-1.x/mmcls/models/backbones/mixmim.py
URL: https://github.com/open-mmlab/mmpretrain/blob/main/mmpretrain/models/backbones/mixmim.py
Version: v1.0.0rc4
Models:

2
configs/mlp_mixer/README.md
View File

@ -43,7 +43,7 @@ print(type(feats))
**Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Test:

2
configs/mlp_mixer/metafile.yml
View File

@ -11,7 +11,7 @@ Collections:
Title: "MLP-Mixer: An all-MLP Architecture for Vision"
README: configs/mlp_mixer/README.md
Code:
URL: https://github.com/open-mmlab/mmclassification/blob/v0.18.0/mmcls/models/backbones/mlp_mixer.py
URL: https://github.com/open-mmlab/mmpretrain/blob/v0.18.0/mmcls/models/backbones/mlp_mixer.py
Version: v0.18.0
Models:

2
configs/mobilenet_v2/README.md
View File

@ -57,7 +57,7 @@ print(type(feats))
**Train/Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Train:

2
configs/mobilenet_v2/metafile.yml
View File

@ -15,7 +15,7 @@ Collections:
Title: "MobileNetV2: Inverted Residuals and Linear Bottlenecks"
README: configs/mobilenet_v2/README.md
Code:
URL: https://github.com/open-mmlab/mmclassification/blob/v0.15.0/mmcls/models/backbones/mobilenet_v2.py#L101
URL: https://github.com/open-mmlab/mmpretrain/blob/v0.15.0/mmcls/models/backbones/mobilenet_v2.py#L101
Version: v0.15.0
Models:

2
configs/mobilenet_v3/README.md
View File

@ -55,7 +55,7 @@ print(type(feats))
**Train/Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Train:

2
configs/mobilenet_v3/metafile.yml
View File

@ -15,7 +15,7 @@ Collections:
Title: Searching for MobileNetV3
README: configs/mobilenet_v3/README.md
Code:
URL: https://github.com/open-mmlab/mmclassification/blob/v0.15.0/mmcls/models/backbones/mobilenet_v3.py
URL: https://github.com/open-mmlab/mmpretrain/blob/v0.15.0/mmcls/models/backbones/mobilenet_v3.py
Version: v0.15.0
Models:

2
configs/mobileone/README.md
View File

@ -58,7 +58,7 @@ print(type(feats))
**Train/Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Train:

2
configs/mobileone/metafile.yml
View File

@ -12,7 +12,7 @@ Collections:
Title: 'An Improved One millisecond Mobile Backbone'
README: configs/mobileone/README.md
Code:
URL: https://github.com/open-mmlab/mmclassification/blob/v1.0.0rc1/configs/mobileone/metafile.yml
URL: https://github.com/open-mmlab/mmpretrain/blob/v1.0.0rc1/configs/mobileone/metafile.yml
Version: v1.0.0rc1
Models:

2
configs/mobilevit/README.md
View File

@ -62,7 +62,7 @@ print(type(feats))
**Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Test:

2
configs/mocov2/README.md
View File

@ -43,7 +43,7 @@ print(type(feats))
**Train/Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Train:

2
configs/mocov3/README.md
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@ -43,7 +43,7 @@ print(type(feats))
**Train/Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Train:

2
configs/mvit/README.md
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@ -50,7 +50,7 @@ print(type(feats))
**Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Test:

2
configs/mvit/metafile.yml
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@ -14,7 +14,7 @@ Collections:
Title: 'MViTv2: Improved Multiscale Vision Transformers for Classification and Detection'
README: configs/mvit/README.md
Code:
URL: https://github.com/open-mmlab/mmclassification/blob/v0.24.0/mmcls/models/backbones/mvit.py
URL: https://github.com/open-mmlab/mmpretrain/blob/v0.24.0/mmcls/models/backbones/mvit.py
Version: v0.24.0
Models:

2
configs/poolformer/README.md
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@ -43,7 +43,7 @@ print(type(feats))
**Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Test:

2
configs/poolformer/metafile.yml
View File

@ -12,7 +12,7 @@ Collections:
README: configs/poolformer/README.md
Code:
Version: v0.22.1
URL: https://github.com/open-mmlab/mmclassification/blob/v0.22.1/mmcls/models/backbones/poolformer.py
URL: https://github.com/open-mmlab/mmpretrain/blob/v0.22.1/mmcls/models/backbones/poolformer.py
Models:
- Name: poolformer-s12_3rdparty_32xb128_in1k

2
configs/regnet/README.md
View File

@ -43,7 +43,7 @@ print(type(feats))
**Train/Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Train:

2
configs/regnet/metafile.yml
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@ -12,7 +12,7 @@ Collections:
Title: Designing Network Design Spaces
README: configs/regnet/README.md
Code:
URL: https://github.com/open-mmlab/mmclassification/blob/v0.18.0/mmcls/models/backbones/regnet.py
URL: https://github.com/open-mmlab/mmpretrain/blob/v0.18.0/mmcls/models/backbones/regnet.py
Version: v0.18.0
Models:

2
configs/replknet/README.md
View File

@ -45,7 +45,7 @@ print(type(feats))
**Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Test:

2
configs/replknet/metafile.yml
View File

@ -10,7 +10,7 @@ Collections:
Title: 'Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs'
README: configs/replknet/README.md
Code:
URL: https://github.com/open-mmlab/mmclassification/blob/v1.0.0rc3/mmcls/models/backbones/replknet.py
URL: https://github.com/open-mmlab/mmpretrain/blob/v1.0.0rc3/mmcls/models/backbones/replknet.py
Version: v1.0.0rc3
Models:

2
configs/repmlp/README.md
View File

@ -45,7 +45,7 @@ print(type(feats))
**Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Test:

2
configs/repmlp/metafile.yml
View File

@ -10,7 +10,7 @@ Collections:
Title: 'RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition'
README: configs/repmlp/README.md
Code:
URL: https://github.com/open-mmlab/mmclassification/blob/v0.21.0/mmcls/models/backbones/repmlp.py
URL: https://github.com/open-mmlab/mmpretrain/blob/v0.21.0/mmcls/models/backbones/repmlp.py
Version: v0.21.0
Models:

2
configs/repvgg/README.md
View File

@ -61,7 +61,7 @@ print(type(feats))
**Train/Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Train:

2
configs/repvgg/metafile.yml
View File

@ -10,7 +10,7 @@ Collections:
Title: 'RepVGG: Making VGG-style ConvNets Great Again'
README: configs/repvgg/README.md
Code:
URL: https://github.com/open-mmlab/mmclassification/blob/v0.16.0/mmcls/models/backbones/repvgg.py#L257
URL: https://github.com/open-mmlab/mmpretrain/blob/v0.16.0/mmcls/models/backbones/repvgg.py#L257
Version: v0.16.0
Models:

2
configs/res2net/README.md
View File

@ -43,7 +43,7 @@ print(type(feats))
**Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Test:

2
configs/res2net/metafile.yml
View File

@ -16,7 +16,7 @@ Collections:
URL: https://arxiv.org/abs/1904.01169
README: configs/res2net/README.md
Code:
URL: https://github.com/open-mmlab/mmclassification/blob/v0.17.0/mmcls/models/backbones/res2net.py
URL: https://github.com/open-mmlab/mmpretrain/blob/v0.17.0/mmcls/models/backbones/res2net.py
Version: v0.17.0
Models:

2
configs/resnet/README.md
View File

@ -67,7 +67,7 @@ print(type(feats))
**Train/Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Train:

2
configs/resnet/metafile.yml
View File

@ -15,7 +15,7 @@ Collections:
Title: "Deep Residual Learning for Image Recognition"
README: configs/resnet/README.md
Code:
URL: https://github.com/open-mmlab/mmclassification/blob/v0.15.0/mmcls/models/backbones/resnet.py#L383
URL: https://github.com/open-mmlab/mmpretrain/blob/v0.15.0/mmcls/models/backbones/resnet.py#L383
Version: v0.15.0
Models:

2
configs/resnext/README.md
View File

@ -43,7 +43,7 @@ print(type(feats))
**Train/Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Train:

2
configs/resnext/metafile.yml
View File

@ -15,7 +15,7 @@ Collections:
Title: "Aggregated Residual Transformations for Deep Neural Networks"
README: configs/resnext/README.md
Code:
URL: https://github.com/open-mmlab/mmclassification/blob/v0.15.0/mmcls/models/backbones/resnext.py#L90
URL: https://github.com/open-mmlab/mmpretrain/blob/v0.15.0/mmcls/models/backbones/resnext.py#L90
Version: v0.15.0
Models:

2
configs/revvit/README.md
View File

@ -57,7 +57,7 @@ print(type(feats))
**Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Test:

2
configs/revvit/metafile.yml
View File

@ -11,7 +11,7 @@ Collections:
README: configs/revvit/README.md
Code:
Version: v1.0.0rc5
URL: https://github.com/open-mmlab/mmclassification/blob/1.0.0rc5/mmcls/models/backbones/revvit.py
URL: https://github.com/open-mmlab/mmpretrain/blob/1.0.0rc5/mmcls/models/backbones/revvit.py
Models:
- Name: revvit-small_3rdparty_in1k

2
configs/seresnet/README.md
View File

@ -43,7 +43,7 @@ print(type(feats))
**Train/Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Train:

2
configs/seresnet/metafile.yml
View File

@ -15,7 +15,7 @@ Collections:
Title: "Squeeze-and-Excitation Networks"
README: configs/seresnet/README.md
Code:
URL: https://github.com/open-mmlab/mmclassification/blob/v0.15.0/mmcls/models/backbones/seresnet.py#L58
URL: https://github.com/open-mmlab/mmpretrain/blob/v0.15.0/mmcls/models/backbones/seresnet.py#L58
Version: v0.15.0
Models:

2
configs/shufflenet_v1/README.md
View File

@ -43,7 +43,7 @@ print(type(feats))
**Train/Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Train:

2
configs/shufflenet_v1/metafile.yml
View File

@ -16,7 +16,7 @@ Collections:
Title: "ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices"
README: configs/shufflenet_v1/README.md
Code:
URL: https://github.com/open-mmlab/mmclassification/blob/v0.15.0/mmcls/models/backbones/shufflenet_v1.py#L152
URL: https://github.com/open-mmlab/mmpretrain/blob/v0.15.0/mmcls/models/backbones/shufflenet_v1.py#L152
Version: v0.15.0
Models:

2
configs/shufflenet_v2/README.md
View File

@ -43,7 +43,7 @@ print(type(feats))
**Train/Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Train:

2
configs/shufflenet_v2/metafile.yml
View File

@ -16,7 +16,7 @@ Collections:
Title: "ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design"
README: configs/shufflenet_v2/README.md
Code:
URL: https://github.com/open-mmlab/mmclassification/blob/v0.15.0/mmcls/models/backbones/shufflenet_v2.py#L134
URL: https://github.com/open-mmlab/mmpretrain/blob/v0.15.0/mmcls/models/backbones/shufflenet_v2.py#L134
Version: v0.15.0
Models:

2
configs/simclr/README.md
View File

@ -43,7 +43,7 @@ print(type(feats))
**Train/Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Train:

2
configs/simmim/README.md
View File

@ -43,7 +43,7 @@ print(type(feats))
**Train/Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Train:

2
configs/simsiam/README.md
View File

@ -43,7 +43,7 @@ print(type(feats))
**Train/Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Train:

2
configs/swav/README.md
View File

@ -43,7 +43,7 @@ print(type(feats))
**Train/Test Command**
Prepare your dataset according to the [docs](https://mmclassification.readthedocs.io/en/1.x/user_guides/dataset_prepare.html#prepare-dataset).
Prepare your dataset according to the [docs](https://mmpretrain.readthedocs.io/en/latest/user_guides/dataset_prepare.html#prepare-dataset).
Train:

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