Metadata-Version: 2.1
Name: mmaction2
Version: 1.0.0
Summary: OpenMMLab Video Understanding Toolbox and Benchmark
Home-page: https://github.com/open-mmlab/mmaction2
Author: MMAction2 Contributors
Author-email: openmmlab@gmail.com
Maintainer: MMAction2 Contributors
Maintainer-email: openmmlab@gmail.com
License: Apache License 2.0
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        [🛠️Installation](https://mmaction2.readthedocs.io/en/latest/get_started.html) |
        [👀Model Zoo](https://mmaction2.readthedocs.io/en/latest/modelzoo.html) |
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        English | [简体中文](/README_zh-CN.md)
        
        ## 📄 Table of Contents
        
        - [📄 Table of Contents](#-table-of-contents)
        - [🥳 🚀 What's New](#--whats-new-)
        - [📖 Introduction](#-introduction-)
        - [🎁 Major Features](#-major-features-)
        - [🛠️ Installation](#️-installation-)
        - [👀 Model Zoo](#-model-zoo-)
        - [👨‍🏫 Get Started](#-get-started-)
        - [🎫 License](#-license-)
        - [🖊️ Citation](#️-citation-)
        - [🙌 Contributing](#-contributing-)
        - [🤝 Acknowledgement](#-acknowledgement-)
        - [🏗️ Projects in OpenMMLab](#️-projects-in-openmmlab-)
        
        ## 🥳 🚀 What's New [🔝](#-table-of-contents)
        
        **The default branch has been switched to `1.x` from `master`, and we encourage users to migrate to the latest version with more supported models, stronger pre-training checkpoints and simpler coding. Please refer to [Migration Guide](https://mmaction2.readthedocs.io/en/latest/migration.html) for more details.**
        
        **Release (2023.04.06)**: v1.0.0 with the following new features:
        
        - Support RGB-PoseC3D(CVPR'2022).
        - Support training UniFormer V2(Arxiv'2022).
        - Support MSG3D(CVPR'2020) and CTRGCN(CVPR'2021) in projects.
        - Refactor and provide more user-friendly documentation.
        
        ## 📖 Introduction [🔝](#-table-of-contents)
        
        MMAction2 is an open-source toolbox for video understanding based on PyTorch.
        It is a part of the [OpenMMLab](http://openmmlab.com/) project.
        
        <div align="center">
          <img src="https://github.com/open-mmlab/mmaction2/raw/master/resources/mmaction2_overview.gif" width="380px">
          <img src="https://user-images.githubusercontent.com/34324155/123989146-2ecae680-d9fb-11eb-916b-b9db5563a9e5.gif" width="380px">
          <p style="font-size:1.5vw;"> Action Recognition on Kinetics-400 (left) and Skeleton-based Action Recognition on NTU-RGB+D-120 (right)</p>
        </div>
        
        <div align="center">
          <img src="https://user-images.githubusercontent.com/30782254/155710881-bb26863e-fcb4-458e-b0c4-33cd79f96901.gif" width="580px"/><br>
            <p style="font-size:1.5vw;">Skeleton-based Spatio-Temporal Action Detection and Action Recognition Results on Kinetics-400</p>
        </div>
        <div align="center">
          <img src="https://github.com/open-mmlab/mmaction2/raw/master/resources/spatio-temporal-det.gif" width="800px"/><br>
            <p style="font-size:1.5vw;">Spatio-Temporal Action Detection Results on AVA-2.1</p>
        </div>
        
        ## 🎁 Major Features [🔝](#-table-of-contents)
        
        - **Modular design**: We decompose a video understanding framework into different components. One can easily construct a customized video understanding framework by combining different modules.
        
        - **Support four major video understanding tasks**: MMAction2 implements various algorithms for multiple video understanding tasks, including action recognition, action localization, spatio-temporal action detection, and skeleton-based action detection.
        
        - **Well tested and documented**: We provide detailed documentation and API reference, as well as unit tests.
        
        ## 🛠️ Installation [🔝](#-table-of-contents)
        
        MMAction2 depends on [PyTorch](https://pytorch.org/), [MMCV](https://github.com/open-mmlab/mmcv), [MMEngine](https://github.com/open-mmlab/mmengine), [MMDetection](https://github.com/open-mmlab/mmdetection) (optional, for spatial-temporal detection tasks) and [MMPose](https://github.com/open-mmlab/mmpose) (optional, for skeleton based tasks).
        
        Please refer to [install.md](https://mmaction2.readthedocs.io/en/latest/get_started.html) for detailed instructions.
        
        <details close>
        <summary>Quick instructions</summary>
        
        ```shell
        conda create --name openmmlab python=3.8 -y
        conda activate open-mmlab
        conda install pytorch torchvision -c pytorch  # This command will automatically install the latest version PyTorch and cudatoolkit, please check whether they match your environment.
        pip install -U openmim
        mim install mmengine 'mmcv>=2.0.0'
        mim install "mmdet>=3.0.0"  # optional
        mim install "mmpose>=1.0.0"  # optional
        git clone https://github.com/open-mmlab/mmaction2.git
        cd mmaction2
        git checkout 1.x
        pip3 install -e .
        ```
        
        </details>
        
        ## 👀 Model Zoo [🔝](#-table-of-contents)
        
        Results and models are available in the [model zoo](https://mmaction2.readthedocs.io/en/latest/modelzoo.html).
        
        <details close>
        
        <summary>Supported model</summary>
        
        <table style="margin-left:auto;margin-right:auto;font-size:1.3vw;padding:3px 5px;text-align:center;vertical-align:center;">
          <tr>
            <td colspan="5" style="font-weight:bold;">Action Recognition</td>
          </tr>
          <tr>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/configs/recognition/c3d/README.md">C3D</a> (CVPR'2014)</td>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/configs/recognition/tsn/README.md">TSN</a> (ECCV'2016)</td>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/configs/recognition/i3d/README.md">I3D</a> (CVPR'2017)</td>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/configs/recognition/c2d/README.md">C2D</a> (CVPR'2018)</td>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/configs/recognition/i3d/README.md">I3D Non-Local</a> (CVPR'2018)</td>
          </tr>
          <tr>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/configs/recognition/r2plus1d/README.md">R(2+1)D</a> (CVPR'2018)</td>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/configs/recognition/trn/README.md">TRN</a> (ECCV'2018)</td>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/configs/recognition/tsm/README.md">TSM</a> (ICCV'2019)</td>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/configs/recognition/tsm/README.md">TSM Non-Local</a> (ICCV'2019)</td>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/configs/recognition/slowonly/README.md">SlowOnly</a> (ICCV'2019)</td>
          </tr>
          <tr>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/configs/recognition/slowfast/README.md">SlowFast</a> (ICCV'2019)</td>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/configs/recognition/csn/README.md">CSN</a> (ICCV'2019)</td>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/configs/recognition/tin/README.md">TIN</a> (AAAI'2020)</td>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/configs/recognition/tpn/README.md">TPN</a> (CVPR'2020)</td>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/configs/recognition/x3d/README.md">X3D</a> (CVPR'2020)</td>
          </tr>
          <tr>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/configs/recognition_audio/resnet/README.md">MultiModality: Audio</a> (ArXiv'2020)</td>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/configs/recognition/tanet/README.md">TANet</a> (ArXiv'2020)</td>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/configs/recognition/timesformer/README.md">TimeSformer</a> (ICML'2021)</td>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/configs/recognition/swin/README.md">VideoSwin</a> (CVPR'2022)</td>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/configs/recognition/videomae/README.md">VideoMAE</a> (NeurIPS'2022)</td>
          </tr>
          <tr>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/configs/recognition/mvit/README.md">MViT V2</a> (CVPR'2022)</td>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/configs/recognition/uniformer/README.md">UniFormer V1</a> (ICLR'2022)</td>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/configs/recognition/uniformerv2/README.md">UniFormer V2</a> (Arxiv'2022)</td>
            <td></td>
            <td></td>
          </tr>
          <tr>
            <td colspan="5" style="font-weight:bold;">Action Localization</td>
          </tr>
          <tr>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/configs/localization/bsn/README.md">BSN</a> (ECCV'2018)</td>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/configs/localization/bmn/README.md">BMN</a> (ICCV'2019)</td>
            <td></td>
            <td></td>
          </tr>
          <tr>
            <td colspan="5" style="font-weight:bold;">Spatio-Temporal Action Detection</td>
          </tr>
          <tr>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/configs/detection/acrn/README.md">ACRN</a> (ECCV'2018)</td>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/configs/detection/ava/README.md">SlowOnly+Fast R-CNN</a> (ICCV'2019)</td>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/configs/detection/ava/README.md">SlowFast+Fast R-CNN</a> (ICCV'2019)</td>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/configs/detection/lfb/README.md">LFB</a> (CVPR'2019)</td>
            <td></td>
          </tr>
          <tr>
            <td colspan="5" style="font-weight:bold;">Skeleton-based Action Recognition</td>
          </tr>
          <tr>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/configs/skeleton/stgcn/README.md">ST-GCN</a> (AAAI'2018)</td>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/configs/skeleton/2s-agcn/README.md">2s-AGCN</a> (CVPR'2019)</td>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/configs/skeleton/posec3d/README.md">PoseC3D</a> (CVPR'2022)</td>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/configs/skeleton/stgcnpp/README.md">STGCN++</a> (ArXiv'2022)</td>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/dev-1.x/projects/ctrgcn/README.md">CTRGCN</a> (CVPR'2021)</td>
          </tr>
          <tr>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/dev-1.x/projects/msg3d/README.md">MSG3D</a> (CVPR'2020)</td>
            <td></td>
          </tr>
        </table>
        
        </details>
        
        <details close>
        
        <summary>Supported dataset</summary>
        
        <table style="margin-left:auto;margin-right:auto;font-size:1.3vw;padding:3px 5px;text-align:center;vertical-align:center;">
          <tr>
            <td colspan="4" style="font-weight:bold;">Action Recognition</td>
          </tr>
          <tr>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/tools/data/hmdb51/README.md">HMDB51</a> (<a href="https://serre-lab.clps.brown.edu/resource/hmdb-a-large-human-motion-database/">Homepage</a>) (ICCV'2011)</td>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/tools/data/ucf101/README.md">UCF101</a> (<a href="https://www.crcv.ucf.edu/research/data-sets/ucf101/">Homepage</a>) (CRCV-IR-12-01)</td>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/tools/data/activitynet/README.md">ActivityNet</a> (<a href="http://activity-net.org/">Homepage</a>) (CVPR'2015)</td>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/tools/data/kinetics/README.md">Kinetics-[400/600/700]</a> (<a href="https://deepmind.com/research/open-source/kinetics/">Homepage</a>) (CVPR'2017)</td>
          </tr>
          <tr>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/tools/data/sthv1/README.md">SthV1</a>  (ICCV'2017)</td>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/tools/data/sthv2/README.md">SthV2</a> (<a href="https://developer.qualcomm.com/software/ai-datasets/something-something">Homepage</a>) (ICCV'2017)</td>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/tools/data/diving48/README.md">Diving48</a> (<a href="http://www.svcl.ucsd.edu/projects/resound/dataset.html">Homepage</a>) (ECCV'2018)</td>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/tools/data/jester/README.md">Jester</a> (<a href="https://developer.qualcomm.com/software/ai-datasets/jester">Homepage</a>) (ICCV'2019)</td>
          </tr>
          <tr>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/tools/data/mit/README.md">Moments in Time</a> (<a href="http://moments.csail.mit.edu/">Homepage</a>) (TPAMI'2019)</td>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/tools/data/mmit/README.md">Multi-Moments in Time</a> (<a href="http://moments.csail.mit.edu/challenge_iccv_2019.html">Homepage</a>) (ArXiv'2019)</td>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/tools/data/hvu/README.md">HVU</a> (<a href="https://github.com/holistic-video-understanding/HVU-Dataset">Homepage</a>) (ECCV'2020)</td>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/tools/data/omnisource/README.md">OmniSource</a> (<a href="https://kennymckormick.github.io/omnisource/">Homepage</a>) (ECCV'2020)</td>
          </tr>
          <tr>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/tools/data/gym/README.md">FineGYM</a> (<a href="https://sdolivia.github.io/FineGym/">Homepage</a>) (CVPR'2020)</td>
            <td></td>
            <td></td>
            <td></td>
          </tr>
          <tr>
            <td colspan="4" style="font-weight:bold;">Action Localization</td>
          </tr>
          <tr>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/tools/data/thumos14/README.md">THUMOS14</a> (<a href="https://www.crcv.ucf.edu/THUMOS14/download.html">Homepage</a>) (THUMOS Challenge 2014)</td>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/tools/data/activitynet/README.md">ActivityNet</a> (<a href="http://activity-net.org/">Homepage</a>) (CVPR'2015)</td>
            <td></td>
            <td></td>
          </tr>
          <tr>
            <td colspan="4" style="font-weight:bold;">Spatio-Temporal Action Detection</td>
          </tr>
          <tr>
            <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><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>
          </tr>
          <tr>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/tools/data/skeleton/README.md">PoseC3D-FineGYM</a> (<a href="https://kennymckormick.github.io/posec3d/">Homepage</a>) (ArXiv'2021)</td>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/tools/data/skeleton/README.md">PoseC3D-NTURGB+D</a> (<a href="https://kennymckormick.github.io/posec3d/">Homepage</a>) (ArXiv'2021)</td>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/tools/data/skeleton/README.md">PoseC3D-UCF101</a> (<a href="https://kennymckormick.github.io/posec3d/">Homepage</a>) (ArXiv'2021)</td>
            <td><a href="https://github.com/open-mmlab/mmaction2/blob/1.x/tools/data/skeleton/README.md">PoseC3D-HMDB51</a> (<a href="https://kennymckormick.github.io/posec3d/">Homepage</a>) (ArXiv'2021)</td>
          </tr>
        </table>
        
        </details>
        
        ## 👨‍🏫 Get Started [🔝](#-table-of-contents)
        
        For tutorials, we provide the following user guides for basic usage:
        
        - [Migration from MMAction2 0.X](https://mmaction2.readthedocs.io/en/latest/migration.html)
        - [Learn about Configs](https://mmaction2.readthedocs.io/en/latest/user_guides/1_config.html#)
        - [Prepare Datasets](https://mmaction2.readthedocs.io/en/latest/user_guides/2_data_prepare.html)
        - [Inference with Existing Models](https://mmaction2.readthedocs.io/en/latest/user_guides/3_inference.html)
        - [Training and Testing](https://mmaction2.readthedocs.io/en/latest/user_guides/4_train_test.html)
        
        <details close>
        <summary>Research works built on MMAction2 by users from community</summary>
        
        - Video Swin Transformer. [\[paper\]](https://arxiv.org/abs/2106.13230)[\[github\]](https://github.com/SwinTransformer/Video-Swin-Transformer)
        - Evidential Deep Learning for Open Set Action Recognition, ICCV 2021 **Oral**. [\[paper\]](https://arxiv.org/abs/2107.10161)[\[github\]](https://github.com/Cogito2012/DEAR)
        - Rethinking Self-supervised Correspondence Learning: A Video Frame-level Similarity Perspective, ICCV 2021 **Oral**. [\[paper\]](https://arxiv.org/abs/2103.17263)[\[github\]](https://github.com/xvjiarui/VFS)
        
        </details>
        
        ## 🎫 License [🔝](#-table-of-contents)
        
        This project is released under the [Apache 2.0 license](LICENSE).
        
        ## 🖊️ Citation [🔝](#-table-of-contents)
        
        If you find this project useful in your research, please consider cite:
        
        ```BibTeX
        @misc{2020mmaction2,
            title={OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark},
            author={MMAction2 Contributors},
            howpublished = {\url{https://github.com/open-mmlab/mmaction2}},
            year={2020}
        }
        ```
        
        ## 🙌 Contributing [🔝](#-table-of-contents)
        
        We appreciate all contributions to improve MMAction2. Please refer to [CONTRIBUTING.md](https://github.com/open-mmlab/mmcv/blob/2.x/CONTRIBUTING.md) in MMCV for more details about the contributing guideline.
        
        ## 🤝 Acknowledgement [🔝](#-table-of-contents)
        
        MMAction2 is an open-source project that is contributed by researchers and engineers from various colleges and companies.
        We appreciate all the contributors who implement their methods or add new features and users who give valuable feedback.
        We wish that the toolbox and benchmark could serve the growing research community by providing a flexible toolkit to reimplement existing methods and develop their new models.
        
        ## 🏗️ Projects in OpenMMLab [🔝](#-table-of-contents)
        
        - [MMEngine](https://github.com/open-mmlab/mmengine): OpenMMLab foundational library for training deep learning models.
        - [MMCV](https://github.com/open-mmlab/mmcv): OpenMMLab foundational library for computer vision.
        - [MIM](https://github.com/open-mmlab/mim): MIM installs OpenMMLab packages.
        - [MMClassification](https://github.com/open-mmlab/mmclassification): OpenMMLab image classification toolbox and benchmark.
        - [MMDetection](https://github.com/open-mmlab/mmdetection): OpenMMLab detection toolbox and benchmark.
        - [MMDetection3D](https://github.com/open-mmlab/mmdetection3d): OpenMMLab's next-generation platform for general 3D object detection.
        - [MMYOLO](https://github.com/open-mmlab/mmyolo): OpenMMLab YOLO series toolbox and benchmark.
        - [MMRotate](https://github.com/open-mmlab/mmrotate): OpenMMLab rotated object detection toolbox and benchmark.
        - [MMSegmentation](https://github.com/open-mmlab/mmsegmentation): OpenMMLab semantic segmentation toolbox and benchmark.
        - [MMOCR](https://github.com/open-mmlab/mmocr): OpenMMLab text detection, recognition, and understanding toolbox.
        - [MMPose](https://github.com/open-mmlab/mmpose): OpenMMLab pose estimation toolbox and benchmark.
        - [MMHuman3D](https://github.com/open-mmlab/mmhuman3d): OpenMMLab 3D human parametric model toolbox and benchmark.
        - [MMSelfSup](https://github.com/open-mmlab/mmselfsup): OpenMMLab self-supervised learning toolbox and benchmark.
        - [MMRazor](https://github.com/open-mmlab/mmrazor): OpenMMLab model compression toolbox and benchmark.
        - [MMFewShot](https://github.com/open-mmlab/mmfewshot): OpenMMLab fewshot learning toolbox and benchmark.
        - [MMAction2](https://github.com/open-mmlab/mmaction2): OpenMMLab's next-generation action understanding toolbox and benchmark.
        - [MMTracking](https://github.com/open-mmlab/mmtracking): OpenMMLab video perception toolbox and benchmark.
        - [MMFlow](https://github.com/open-mmlab/mmflow): OpenMMLab optical flow toolbox and benchmark.
        - [MMEditing](https://github.com/open-mmlab/mmediting): OpenMMLab image and video editing toolbox.
        - [MMGeneration](https://github.com/open-mmlab/mmgeneration): OpenMMLab image and video generative models toolbox.
        - [MMDeploy](https://github.com/open-mmlab/mmdeploy): OpenMMLab model deployment framework.
        
Keywords: computer vision,video understanding
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Description-Content-Type: text/markdown
Provides-Extra: all
Provides-Extra: tests
Provides-Extra: optional
Provides-Extra: mim
