Bump version 1.0.0rc3 (#2211)

README.md

@@ -70,15 +70,11 @@ The 1.x branch works with **PyTorch 1.6+**.
 
 ## What's New
 
-**Release**: v1.0.0rc2 with the following new features:
+**Release (2022.02.10)**: v1.0.0rc3 with the following new features:
 
-- We Support Omni-Sourece training on ImageNet and Kinetics datasets.
-- We support exporting spatial-temporal detection models to ONNX.
-- We support **STGCN++** on NTU-RGB+D.
-- We support **MViT V2** on Kinetics 400 and something-V2.
-- We refine our skeleton-based pipelines and support the joint training of multi-stream skeleton information, including **joint, bone, joint-motion, and bone-motion**.
-- We support **VideoMAE** on Kinetics400.
-- We support **C2D** on Kinetics400, achieve 73.57% Top-1 accuracy (higher than 71.8% in the [paper](https://arxiv.org/abs/1711.07971)).
+- Support Action Recognition model UniFormer V1(ICLR'2022), UniFormer V2(Arxiv'2022).
+- Support training MViT V2(CVPR'2022), and MaskFeat(CVPR'2022) fine-tuning.
+- Add a new handy interface for inference MMAction2 models ([demo](https://github.com/open-mmlab/mmaction2/blob/dev-1.x/demo/README.md#inferencer))
 
 ## Installation
 
@@ -209,7 +205,7 @@ If you have any feature requests, please feel free to leave a comment in [Issues
     <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/tools/data/ucf101_24/README.md">UCF101-24*</a> (<a href="http://www.thumos.info/download.html">Homepage</a>) (CRCV-IR-12-01)</td>
     <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/tools/data/jhmdb/README.md">JHMDB*</a> (<a href="http://jhmdb.is.tue.mpg.de/">Homepage</a>) (ICCV'2015)</td>
     <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/tools/data/ava/README.md">AVA</a> (<a href="https://research.google.com/ava/index.html">Homepage</a>) (CVPR'2018)</td>
-    <td></td>
+    <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/tools/data/ava_kinetics/README.md">AVA-Kinetics</a> (<a href="https://research.google.com/ava/index.html">Homepage</a>) (Arxiv'2020)</td>
   </tr>
   <tr>
     <td colspan="4" style="font-weight:bold;">Skeleton-based Action Recognition</td>

docs/en/notes/changelog.md

@@ -1,18 +1,45 @@
 # Changelog
 
+## 1.0.0rc3 (2/10/2023)
+
+**Highlights**
+
+- Support Action Recognition model UniFormer V1(ICLR'2022), UniFormer V2(Arxiv'2022).
+- Support training MViT V2(CVPR'2022), and MaskFeat(CVPR'2022) fine-tuning.
+
+**New Features**
+
+- Support UniFormer V1/V2 ([#2153](https://github.com/open-mmlab/mmaction2/pull/2153))
+- Support training MViT, and MaskFeat fine-tuning ([#2186](https://github.com/open-mmlab/mmaction2/pull/2186))
+- Support a unified inference interface: Inferencer ([#2164](https://github.com/open-mmlab/mmaction2/pull/2164))
+
+**Improvements**
+
+- Support load data list from multi-backends ([#2176](https://github.com/open-mmlab/mmaction2/pull/2176))
+
+**Bug Fixes**
+
+- Upgrade isort to fix CI ([#2198](https://github.com/open-mmlab/mmaction2/pull/2198))
+- Fix bug in skeleton demo ([#2214](https://github.com/open-mmlab/mmaction2/pull/2214))
+
+**Documentation**
+
+- Add Chinese documentation for config.md ([#2188](https://github.com/open-mmlab/mmaction2/pull/2188))
+- Add readme for Omnisource ([#2205](https://github.com/open-mmlab/mmaction2/pull/2205))
+
 ## 1.0.0rc2 (1/10/2023)
 
 **Highlights**
 
-- Support Action Recognition model VideoMAE(NeurIPS'2022), MVit V2(CVPR'2022), C2D and skeleton-based action recognition model STGCN++
+- Support Action Recognition model VideoMAE(NeurIPS'2022), MViT V2(CVPR'2022), C2D and skeleton-based action recognition model STGCN++
 - Support Omni-Source training on ImageNet and Kinetics datasets
 - Support exporting spatial-temporal detection models to ONNX
 
 **New Features**
 
 - Support VideoMAE ([#1942](https://github.com/open-mmlab/mmaction2/pull/1942))
 - Support MViT V2 ([#2007](https://github.com/open-mmlab/mmaction2/pull/2007))
-- Supoort C2D ([#2022](https://github.com/open-mmlab/mmaction2/pull/2022))
+- Support C2D ([#2022](https://github.com/open-mmlab/mmaction2/pull/2022))
 - Support AVA-Kinetics dataset ([#2080](https://github.com/open-mmlab/mmaction2/pull/2080))
 - Support STGCN++ ([#2156](https://github.com/open-mmlab/mmaction2/pull/2156))
 - Support exporting spatial-temporal detection models to ONNX ([#2148](https://github.com/open-mmlab/mmaction2/pull/2148))
@@ -61,7 +88,7 @@
 - Refine some docs ([#2038](https://github.com/open-mmlab/mmaction2/pull/2038)), ([#2040](https://github.com/open-mmlab/mmaction2/pull/2040)), ([#2058](https://github.com/open-mmlab/mmaction2/pull/2058))
 - Update TSN/TSM Readme ([#2082](https://github.com/open-mmlab/mmaction2/pull/2082))
 - Add chinese document ([#2083](https://github.com/open-mmlab/mmaction2/pull/2083))
-- Adjust docment structure ([#2088](https://github.com/open-mmlab/mmaction2/pull/2088))
+- Adjust document structure ([#2088](https://github.com/open-mmlab/mmaction2/pull/2088))
 - Fix Sth-Sth and Jester dataset links ([#2103](https://github.com/open-mmlab/mmaction2/pull/2103))
 - Fix doc link ([#2131](https://github.com/open-mmlab/mmaction2/pull/2131))
 

mmaction/version.py

@@ -1,6 +1,6 @@
 # Copyright (c) Open-MMLab. All rights reserved.
 
-__version__ = '1.0.0rc2'
+__version__ = '1.0.0rc3'
 
 
 def parse_version_info(version_str: str):