Bump version to 1.0.0rc2 (#2169)

.circleci/test.yml

@@ -177,7 +177,7 @@ workflows:
           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
+          python: 3.7.4
           requires:
             - lint
       - build_cpu:

.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

README.md

@@ -70,13 +70,15 @@ The 1.x branch works with **PyTorch 1.6+**.
 
 ## What's New
 
-- (2023-1-5) We support STGCN++ on NTU-RGB+D.
-- (2022-11-30) We refine our skeleton-based pipelines and support the joint training of multi-stream skeleton information, including **joint, bone, joint-motion, and bone-motion**.
-- (2022-10-11) We support **Video Swin Transformer** on Kinetics400 and additionally train a Swin-L model on Kinetics700 to extract video features for downstream tasks.
-- (2022-10-25) We support **VideoMAE** on Kinetics400.
-- (2022-10-28) We support **C2D** on Kinetics400, achieve 73.57% Top-1 accuracy (higher than 71.8% in the [paper](https://arxiv.org/abs/1711.07971)).
-
-**Release**: v1.0.0rc1 was released in 14/10/2022. Please refer to [changelog.md](docs/en/notes/changelog.md) for details and release history.
+**Release**: v1.0.0rc2 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)).
 
 ## Installation
 

docs/en/get_started.md

@@ -2,7 +2,7 @@
 
 In this section we demonstrate how to prepare an environment with PyTorch.
 
-MMAction2 works on Linux, Windows and macOS. It requires Python 3.6+, CUDA 9.2+ and PyTorch 1.6+.
+MMAction2 works on Linux, Windows and macOS. It requires Python 3.7+, CUDA 9.2+ and PyTorch 1.6+.
 
 ```{note}
 If you are experienced with PyTorch and have already installed it, just skip this part and jump to the [next section](#installation). Otherwise, you can follow these steps for the preparation.

docs/en/notes/changelog.md

@@ -1,6 +1,67 @@
 # Changelog
 
-## 1.0.0rc1 (14/10/2022)
+## 1.0.0rc2 (1/6/2023)
+
+**Highlights**
+
+**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 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))
+- Support Omni-Sourece training on ImageNet and Kinetics datasets ([#2143](https://github.com/open-mmlab/mmaction2/pull/2143))
+
+**Improvements**
+
+- Support repeat batch data augmentation ([#2170](https://github.com/open-mmlab/mmaction2/pull/2170))
+- Support calculating FLOPs tool powered by fvcore ([#1997](https://github.com/open-mmlab/mmaction2/pull/1997))
+- Support Spatial-temporal detection demo ([#2019](https://github.com/open-mmlab/mmaction2/pull/2019))
+- Add SyncBufferHook and add randomness config in train.py ([#2044](https://github.com/open-mmlab/mmaction2/pull/2044))
+- Refactor gradcam ([#2049](https://github.com/open-mmlab/mmaction2/pull/2049))
+- Support init_cfg in Swin and ViTMAE ([#2055](https://github.com/open-mmlab/mmaction2/pull/2055))
+- Refactor STGCN and related pipelines ([#2087](https://github.com/open-mmlab/mmaction2/pull/2087))
+- Refactor visualization tools ([#2092](https://github.com/open-mmlab/mmaction2/pull/2092))
+- Update `SampleFrames` transform and improve most models' performance ([#1942](https://github.com/open-mmlab/mmaction2/pull/1942))
+- Support real-time webcam demo ([#2152](https://github.com/open-mmlab/mmaction2/pull/2152))
+- Refactor and enhance 2s-AGCN ([#2130](https://github.com/open-mmlab/mmaction2/pull/2130))
+- Support adjusting fps in `SampleFrame` ([#2157](https://github.com/open-mmlab/mmaction2/pull/2157))
+
+**Bug Fixes**
+
+- Fix CI upstream library dependency ([#2000](https://github.com/open-mmlab/mmaction2/pull/2000))
+- Fix SlowOnly readme typos and results ([#2006](https://github.com/open-mmlab/mmaction2/pull/2006))
+- Fix VideoSwin readme ([#2010](https://github.com/open-mmlab/mmaction2/pull/2010))
+- Fix tools and mim error ([#2028](https://github.com/open-mmlab/mmaction2/pull/2028))
+- Fix Imgaug wrapper ([#2024](https://github.com/open-mmlab/mmaction2/pull/2024))
+- Remove useless scripts ([#2032](https://github.com/open-mmlab/mmaction2/pull/2032))
+- Fix multi-view inference ([#2045](https://github.com/open-mmlab/mmaction2/pull/2045))
+- Update mmcv maximum version to 1.8.0 ([#2047](https://github.com/open-mmlab/mmaction2/pull/2047))
+- Fix torchserver dependency ([#2053](https://github.com/open-mmlab/mmaction2/pull/2053))
+- Fix `gen_ntu_rgbd_raw` script ([#2076](https://github.com/open-mmlab/mmaction2/pull/2076))
+- Update AVA-Kinetics experiment configs and results ([#2099](https://github.com/open-mmlab/mmaction2/pull/2099))
+- Add `joint.pkl` and `bone.pkl` used in multi-stream fusion tool ([#2106](https://github.com/open-mmlab/mmaction2/pull/2106))
+- Fix lint CI config ([#2110](https://github.com/open-mmlab/mmaction2/pull/2110))
+- Update testing accuracy for modified `SampleFrames` ([#2117](https://github.com/open-mmlab/mmaction2/pull/2117)), ([#2121](https://github.com/open-mmlab/mmaction2/pull/2121)), ([#2122](https://github.com/open-mmlab/mmaction2/pull/2122)), ([#2124](https://github.com/open-mmlab/mmaction2/pull/2124)), ([#2125](https://github.com/open-mmlab/mmaction2/pull/2125)), ([#2126](https://github.com/open-mmlab/mmaction2/pull/2126)), ([#2129](https://github.com/open-mmlab/mmaction2/pull/2129)), ([#2128](https://github.com/open-mmlab/mmaction2/pull/2128))
+- Fix timm related bug ([#1976](https://github.com/open-mmlab/mmaction2/pull/1976))
+- Fix `check_videos.py` script ([#2134](https://github.com/open-mmlab/mmaction2/pull/2134))
+- Update CI maximum torch version to 1.13.0 ([#2118](https://github.com/open-mmlab/mmaction2/pull/2118))
+
+**Documentation**
+
+- Add MMYOLO description in README ([#2011](https://github.com/open-mmlab/mmaction2/pull/2011))
+- Add v1.x introduction in README ([#2023](https://github.com/open-mmlab/mmaction2/pull/2023))
+- Fix link in README ([#2035](https://github.com/open-mmlab/mmaction2/pull/2035))
+- 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))
+- 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))
+
+## 1.0.0rc1 (10/14/2022)
 
 **Highlights**
 

docs/zh_cn/get_started.md

@@ -2,7 +2,7 @@
 
 在本节中，我们将演示如何准备 PyTorch 相关的依赖环境。
 
-MMAction2 适用于 Linux、Windows 和 MacOS。它需要 Python 3.6+，CUDA 9.2+ 和 PyTorch 1.6+。
+MMAction2 适用于 Linux、Windows 和 MacOS。它需要 Python 3.7+，CUDA 9.2+ 和 PyTorch 1.6+。
 
 ```
 如果你对配置 PyTorch 环境已经很熟悉，并且已经完成了配置，可以直接进入[下一节](#安装)。

mmaction/__init__.py

@@ -9,7 +9,7 @@
 mmcv_maximum_version = '2.1.0'
 mmcv_version = digit_version(mmcv.__version__)
 
-mmengine_minimum_version = '0.1.0'
+mmengine_minimum_version = '0.3.0'
 mmengine_maximum_version = '1.0.0'
 mmengine_version = digit_version(mmengine.__version__)
 

mmaction/version.py

@@ -1,6 +1,6 @@
 # Copyright (c) Open-MMLab. All rights reserved.
 
-__version__ = '1.0.0rc1'
+__version__ = '1.0.0rc2'
 
 
 def parse_version_info(version_str: str):

setup.py

@@ -179,7 +179,6 @@ def add_mim_extension():
             'License :: OSI Approved :: Apache Software License',
             'Operating System :: OS Independent',
             'Programming Language :: Python :: 3',
-            'Programming Language :: Python :: 3.6',
             'Programming Language :: Python :: 3.7',
             'Programming Language :: Python :: 3.8',
             'Programming Language :: Python :: 3.9',