Merge dev-1.x

Author: ly015

Diff for: .circleci/docker/Dockerfile

@@ -1,6 +1,6 @@
-ARG PYTORCH="1.8.1"
-ARG CUDA="10.2"
-ARG CUDNN="7"
+ARG PYTORCH="1.7.1"
+ARG CUDA="11.1"
+ARG CUDNN="8"
 
 FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel
 

Diff for: .circleci/test.yml

@@ -83,10 +83,10 @@ jobs:
         type: string
       cuda:
         type: enum
-        enum: ["10.1", "10.2", "11.1"]
+        enum: ["11.1"]
       cudnn:
         type: integer
-        default: 7
+        default: 8
     machine:
       image: ubuntu-2004-cuda-11.4:202110-01
       # docker_layer_caching: true
@@ -150,15 +150,15 @@ workflows:
                 - 1.x
       - build_cpu:
           name: minimum_version_cpu
-          torch: 1.6.0
-          torchvision: 0.7.0
-          python: 3.6.9  # The lowest python 3.6.x version available on CircleCI images
+          torch: 1.7.1
+          torchvision: 0.8.2
+          python: 3.7.4
           requires:
             - lint
       - build_cpu:
           name: maximum_version_cpu
-          torch: 1.12.1
-          torchvision: 0.13.1
+          torch: 1.13.0
+          torchvision: 0.14.0
           python: 3.9.0
           requires:
             - minimum_version_cpu
@@ -168,10 +168,10 @@ workflows:
             - maximum_version_cpu
       - build_cuda:
           name: mainstream_version_gpu
-          torch: 1.8.1
+          torch: 1.7.1
           # Use double quotation mark to explicitly specify its type
           # as string instead of number
-          cuda: "10.2"
+          cuda: "11.1"
           requires:
             - hold
   merge_stage_test:
@@ -181,10 +181,10 @@ workflows:
     jobs:
       - build_cuda:
           name: minimum_version_gpu
-          torch: 1.6.0
+          torch: 1.7.1
           # Use double quotation mark to explicitly specify its type
           # as string instead of number
-          cuda: "10.1"
+          cuda: "11.1"
           filters:
             branches:
               only:

Diff for: .github/workflows/merge_stage_test.yml

@@ -21,7 +21,7 @@ jobs:
     runs-on: ubuntu-18.04
     strategy:
       matrix:
-        python-version: [3.6, 3.8, 3.9]
+        python-version: [3.8, 3.9]
         torch: [1.8.1]
         include:
           - torch: 1.8.1
@@ -64,7 +64,7 @@ jobs:
     strategy:
       matrix:
         python-version: [3.7]
-        torch: [1.6.0, 1.7.1, 1.8.1, 1.9.1, 1.10.1, 1.11.0, 1.12.1]
+        torch: [1.6.0, 1.7.1, 1.8.1, 1.9.1, 1.10.1, 1.11.0, 1.12.1, 1.13.0]
         include:
           - torch: 1.6.0
             torchvision: 0.7.0
@@ -80,6 +80,8 @@ jobs:
             torchvision: 0.12.0
           - torch: 1.12.1
             torchvision: 0.13.1
+          - torch: 1.13.0
+            torchvision: 0.14.0
     steps:
       - uses: actions/checkout@v2
       - name: Set up Python ${{ matrix.python-version }}

Diff for: .pre-commit-config.yaml

@@ -5,7 +5,7 @@ repos:
     hooks:
       - id: flake8
   - repo: https://github.com/PyCQA/isort
-    rev: 5.10.1
+    rev: 5.11.5
     hooks:
       - id: isort
   - repo: https://github.com/pre-commit/mirrors-yapf

Diff for: README.md

@@ -31,10 +31,25 @@
 [👀Model Zoo](https://mmpose.readthedocs.io/en/1.x/model_zoo.html) |
 [📜Papers](https://mmpose.readthedocs.io/en/1.x/model_zoo_papers/algorithms.html) |
 [🆕Update News](https://mmpose.readthedocs.io/en/1.x/notes/changelog.html) |
-[🤔Reporting Issues](https://github.com/open-mmlab/mmpose/issues/new/choose)
+[🤔Reporting Issues](https://github.com/open-mmlab/mmpose/issues/new/choose) |
+[🔥RTMPose](/projects/rtmpose/)
 
 </div>
 
+<div align="center">
+  <a href="https://openmmlab.medium.com/" style="text-decoration:none;">
+    <img src="https://user-images.githubusercontent.com/25839884/218352562-cdded397-b0f3-4ca1-b8dd-a60df8dca75b.png" width="3%" alt="" /></a>
+  <img src="https://user-images.githubusercontent.com/25839884/218346358-56cc8e2f-a2b8-487f-9088-32480cceabcf.png" width="3%" alt="" />
+  <a href="https://discord.com/channels/1037617289144569886/1046608014234370059" style="text-decoration:none;">
+    <img src="https://user-images.githubusercontent.com/25839884/218347213-c080267f-cbb6-443e-8532-8e1ed9a58ea9.png" width="3%" alt="" /></a>
+  <img src="https://user-images.githubusercontent.com/25839884/218346358-56cc8e2f-a2b8-487f-9088-32480cceabcf.png" width="3%" alt="" />
+  <a href="https://twitter.com/OpenMMLab" style="text-decoration:none;">
+    <img src="https://user-images.githubusercontent.com/25839884/218346637-d30c8a0f-3eba-4699-8131-512fb06d46db.png" width="3%" alt="" /></a>
+  <img src="https://user-images.githubusercontent.com/25839884/218346358-56cc8e2f-a2b8-487f-9088-32480cceabcf.png" width="3%" alt="" />
+  <a href="https://www.youtube.com/openmmlab" style="text-decoration:none;">
+    <img src="https://user-images.githubusercontent.com/25839884/218346691-ceb2116a-465a-40af-8424-9f30d2348ca9.png" width="3%" alt="" /></a>
+</div>
+
 ## Introduction
 
 English | [简体中文](README_CN.md)
@@ -46,7 +61,9 @@ The master branch works with **PyTorch 1.6+**.
 
 https://user-images.githubusercontent.com/15977946/124654387-0fd3c500-ded1-11eb-84f6-24eeddbf4d91.mp4
 
-<details open>
+<br/>
+
+<details close>
 <summary><b>Major Features</b></summary>
 
 - **Support diverse tasks**
@@ -74,21 +91,37 @@ https://user-images.githubusercontent.com/15977946/124654387-0fd3c500-ded1-11eb-
 
 ## What's New
 
-- 2022-10-14: MMPose [v1.0.0rc0](https://github.com/open-mmlab/mmpose/releases/tag/v1.0.0rc0) is released. Major updates include:
+- We are excited to release **RTMPose**, a real-time pose estimation framework including:
+
+  - A family of lightweight pose estimation models with state-of-the-art performance
+  - Inference APIs for Python, C++, C#, Java, etc. Easy to integrate into your applications and empower real-time stable pose estimation
+  - Cross-platform deployment with various backends
+  - A step-by-step guide to training and deploying your own models
+
+  Checkout our [project page](/projects/rtmpose/) and [technical report](https://arxiv.org/abs/2303.07399) for more information!
+
+![rtmpose_intro](https://user-images.githubusercontent.com/13503330/219269619-935499e5-bdd9-49ea-8104-3c7796dbd862.png)
+
+- Welcome to [*projects of MMPose*](/projects/README.md), where you can access to the latest features of MMPose, and share your ideas and codes with the community at once. Contribution to MMPose will be simple and smooth:
+
+  - Provide an easy and agile way to integrate algorithms, features and applications into MMPose
+  - Allow flexible code structure and style; only need a short code review process
+  - Build individual projects with full power of MMPose but not bound up with heavy frameworks
+  - Checkout new projects:
+    - [RTMPose](/projects/rtmpose/)
+    - [YOLOX-Pose (coming soon)](<>)
+    - [MMPose4AIGC (coming soon)](<>)
+  - Become a contributors and make MMPose greater. Start your journey from the [example project](/projects/example_project/)
+
+<br/>
 
-  - Support 4 light-weight pose estimation algorithms
-    - SimCC (ECCV'22): [paper](https://doi.org/10.48550/arxiv.2107.03332) | [models](https://github.com/open-mmlab/mmpose/blob/1.x/configs/body_2d_keypoint/simcc/README.md)
-    - Debias-IPR (ICCV'21): [paper](https://openaccess.thecvf.com/content/ICCV2021/papers/Gu_Removing_the_Bias_of_Integral_Pose_Regression_ICCV_2021_paper.pdf) | [models](https://github.com/open-mmlab/mmpose/blob/1.x/configs/body_2d_keypoint/integral_regression/README.md)
-    - IPR (ECCV'18): [paper](https://arxiv.org/abs/1711.08229) | [models](https://github.com/open-mmlab/mmpose/blob/1.x/configs/body_2d_keypoint/integral_regression/README.md)
-    - DSNT (ArXiv'18): [paper](https://arxiv.org/abs/1801.07372v2) | [models](https://github.com/open-mmlab/mmpose/blob/1.x/configs/body_2d_keypoint/integral_regression/README.md)
-  - Add [Colab tutorial](https://github.com/open-mmlab/mmpose/blob/1.x/demo/MMPose_Tutorial.ipynb) for MMPose v1.0
+- 2022-03-15: MMPose [v1.0.0rc1](https://github.com/open-mmlab/mmpose/releases/tag/v1.0.0rc1) is released. Major updates include:
 
-- 2022-09-01: MMPose [v1.0.0b0](https://github.com/open-mmlab/mmpose/releases/tag/v1.0.0b0) is released!
+  - Release [RTMPose](/projects/rtmpose/), a high-performance real-time pose estimation framework based on MMPose
+  - Support [ViTPose](/configs/body_2d_keypoint/topdown_heatmap/coco/vitpose_coco.md) (NeurIPS'22), [CID](/configs/body_2d_keypoint/cid/coco/hrnet_coco.md) (CVPR'22) and [DEKR](/configs/body_2d_keypoint/dekr/) (CVPR'21)
+  - Add [*Inferencer*](/docs/en/user_guides/inference.md#out-of-the-box-inferencer), a convenient interface for inference and visualization
 
-  - This release introduced major refactoring to MMPose towards better performance, extensibility and user-friendliness.
-  - Built upon a brand new and flexible training & test engine, which is still in progress. Welcome to try according to [the documentation](https://mmpose.readthedocs.io/en/1.x/).
-  - There are BC-breaking changes. Please check [the migration tutorial](https://mmpose.readthedocs.io/en/1.x/migration.html).
-  - The beta and release candidate versions will last until the end of 2022, and during the release candidate, we will develop on the `1.x` branch. And we will still maintain 0.x version still at least the end of 2023.
+  See the full [release note](https://github.com/open-mmlab/mmpose/releases/tag/v1.0.0rc1) for more exciting updates brought by MMPose v1.0.0rc1!
 
 ## Installation
 

Diff for: README_CN.md

@@ -31,7 +31,8 @@
 [👀模型库](https://mmpose.readthedocs.io/zh_CN/1.x/model_zoo.html) |
 [📜论文库](https://mmpose.readthedocs.io/zh_CN/1.x/model_zoo_papers/algorithms.html) |
 [🆕更新日志](https://mmpose.readthedocs.io/zh_CN/1.x/notes/changelog.html) |
-[🤔报告问题](https://github.com/open-mmlab/mmpose/issues/new/choose)
+[🤔报告问题](https://github.com/open-mmlab/mmpose/issues/new/choose) |
+[🔥RTMPose](/projects/rtmpose/)
 
 </div>
 
@@ -74,24 +75,37 @@ https://user-images.githubusercontent.com/15977946/124654387-0fd3c500-ded1-11eb-
 
 ## 最新进展
 
-- 2022-10-14: MMPose [v1.0.0rc0](https://github.com/open-mmlab/mmpose/releases/tag/v1.0.0rc0) 已经发布. 主要更新包括:
+- 我们发布了 **RTMPose**，一个高性能实时多人姿态检测框架。具体包括：
 
-  - 增加了 4 个轻量化姿态估计算法
-    - SimCC (ECCV'22): [论文链接](https://doi.org/10.48550/arxiv.2107.03332) | [模型](https://github.com/open-mmlab/mmpose/blob/1.x/configs/body_2d_keypoint/simcc/README.md)
-    - Debias-IPR (ICCV'21): [论文链接](https://openaccess.thecvf.com/content/ICCV2021/papers/Gu_Removing_the_Bias_of_Integral_Pose_Regression_ICCV_2021_paper.pdf) | [模型](https://github.com/open-mmlab/mmpose/blob/1.x/configs/body_2d_keypoint/integral_regression/README.md)
-    - IPR (ECCV'18): [论文链接](https://arxiv.org/abs/1711.08229) | [模型](https://github.com/open-mmlab/mmpose/blob/1.x/configs/body_2d_keypoint/integral_regression/README.md)
-    - DSNT (ArXiv'18): [论文链接](https://arxiv.org/abs/1801.07372v2) | [模型](https://github.com/open-mmlab/mmpose/blob/1.x/configs/body_2d_keypoint/integral_regression/README.md)
-  - 增加 MMPose 1.0 [Colab 教程](https://github.com/open-mmlab/mmpose/blob/1.x/demo/MMPose_Tutorial.ipynb)
+  - 一组新的轻量化姿态估计模型，在不同算力条件下达到 SOTA 的精度性能
+  - 支持多语言（Python, C++, C#, Java, etc）的模型推理接口，可以轻松集成到您的应用中以支持实时、稳定的姿态估计
+  - 跨平台，多后端的模型部署支持
+  - 提供极易上手的教程，帮助您训练和部署自己的模型
 
-- 2022-09-01: MMPose [v1.0.0b0](https://github.com/open-mmlab/mmpose/releases/tag/v1.0.0b0) 已经发布. 主要更新包括:
+  更多信息敬请参阅 RTMPose [项目主页](/projects/rtmpose/) 和 [技术报告](https://arxiv.org/abs/2303.07399)
 
-  - 对 MMPose 进行了重大重构，旨在提升算法库性能和可扩展性，并使其更容易上手。
-  - 基于一个全新的，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://mmpose.readthedocs.io/zh_CN/1.x/)进行试用。
-  - 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://mmpose.readthedocs.io/zh_CN/1.x/migration.html)来详细了解这些变动。
-  - 新版本的公测将持续到 2022 年末，在此期间，我们将基于 `1.x` 分支进行更新，不会合入到 `master` 分支。另外，至少
-    到 2023 年末，我们会保持对 0.x 版本的维护。
+![rtmpose_intro](https://user-images.githubusercontent.com/13503330/219269619-935499e5-bdd9-49ea-8104-3c7796dbd862.png)
 
-发布历史和更新细节请参考 [更新日志](https://mmpose.readthedocs.io/zh_CN/1.x/notes/changelog.html)
+- 欢迎使用 [*MMPose 项目*](/projects/README.md)。在这里，您可以发现 MMPose 中的最新功能和算法，并且可以通过最快的方式与社区分享自己的创意和代码实现。向 MMPose 中添加新功能从此变得简单丝滑：
+
+  - 提供了一种简单迅捷的方式，将新的算法、功能和应用添加到 MMPose 中
+  - 更灵活的代码结构和风格，更少的限制，更简短的代码审核流程
+  - 通过独立项目的形式，利用 MMPose 的强大功能，同时不被代码框架所束缚
+  - 最新添加的项目包括：
+    - [RTMPose](/projects/rtmpose/)
+    - [YOLOX-Pose (coming soon)](<>)
+    - [MMPose4AIGC (coming soon)](<>)
+  - 从简单的 [示例项目](/projects/example_project/) 开启您的 MMPose 代码贡献者之旅吧，让我们共同打造更好用的 MMPose！
+
+<br/>
+
+- 2022-03-15: MMPose [v1.0.0rc1](https://github.com/open-mmlab/mmpose/releases/tag/v1.0.0rc1) 正式发布了，主要更新包括:
+
+  - 发布了 [RTMPose](/projects/rtmpose/)，一个高性能实时多人姿态估计算法框架
+  - 支持了多个新算法： [ViTPose](/configs/body_2d_keypoint/topdown_heatmap/coco/vitpose_coco.md) (NeurIPS'22), [CID](/configs/body_2d_keypoint/cid/coco/hrnet_coco.md) (CVPR'22) and [DEKR](/configs/body_2d_keypoint/dekr/) (CVPR'21)
+  - 增加了 [*Inferencer*](/docs/en/user_guides/inference.md#out-of-the-box-inferencer)，一个非常便捷的模型推理接口，通过 1 行代码完成模型选择、权重加载、模型推理和结果可视化。
+
+  请查看完整的 [版本说明](https://github.com/open-mmlab/mmpose/releases/tag/v1.0.0rc1) 以了解更多 MMPose v1.0.0rc1 带来的更新!
 
 ## 安装
 
@@ -279,10 +293,11 @@ MMPose 是一款由不同学校和公司共同贡献的开源项目。我们感
 
 ## 欢迎加入 OpenMMLab 社区
 
-扫描下方的二维码可关注 OpenMMLab 团队的 [知乎官方账号](https://www.zhihu.com/people/openmmlab)，联络 OpenMMLab [官方微信小助手](/docs/en/imgs/wechat_assistant_qrcode.png)或加入 OpenMMLab 团队的 [官方交流 QQ 群](https://jq.qq.com/?_wv=1027&k=GJP18SjI)
+扫描下方的二维码可关注 OpenMMLab 团队的 [知乎官方账号](https://www.zhihu.com/people/openmmlab)，联络 OpenMMLab [官方微信小助手](https://user-images.githubusercontent.com/25839884/205872898-e2e6009d-c6bb-4d27-8d07-117e697a3da8.jpg)或加入 OpenMMLab 团队的 [官方交流 QQ 群](https://jq.qq.com/?_wv=1027&k=K0QI8ByU)
 
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-<img src="https://raw.githubusercontent.com/open-mmlab/mmcv/master/docs/en/_static/zhihu_qrcode.jpg" height="400"><img src="https://raw.githubusercontent.com/open-mmlab/mmcv/master/docs/en/_static/wechat_qrcode.jpg" height="400"><img src="https://raw.githubusercontent.com/open-mmlab/mmcv/master/docs/en/_static/qq_group_qrcode.jpg" height="400">
+<img src="https://user-images.githubusercontent.com/25839884/205870927-39f4946d-8751-4219-a4c0-740117558fd7.jpg" height="400"><img src="https://user-images.githubusercontent.com/25839884/205872898-e2e6009d-c6bb-4d27-8d07-117e697a3da8.jpg" height="400"><img src="https://user-images.githubusercontent.com/25839884/203904835-62392033-02d4-4c73-a68c-c9e4c1e2b07f.jpg
+" height="400">
 </div>
 
 我们会在 OpenMMLab 社区为大家