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diff --git a/python-mmtrack.spec b/python-mmtrack.spec new file mode 100644 index 0000000..e1b6678 --- /dev/null +++ b/python-mmtrack.spec @@ -0,0 +1,737 @@ +%global _empty_manifest_terminate_build 0 +Name: python-mmtrack +Version: 0.14.0 +Release: 1 +Summary: OpenMMLab Unified Video Perception Platform +License: Apache License 2.0 +URL: https://github.com/open-mmlab/mmtracking +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/54/ab/4f702809260dfe754bd6cb9f62c440fa32ba41b327aa896a62d21912678d/mmtrack-0.14.0.tar.gz +BuildArch: noarch + +Requires: python3-attributee +Requires: python3-dotty-dict +Requires: python3-lap +Requires: python3-matplotlib +Requires: python3-mmcls +Requires: python3-motmetrics +Requires: python3-packaging +Requires: python3-pandas +Requires: python3-pycocotools +Requires: python3-scipy +Requires: python3-seaborn +Requires: python3-terminaltables +Requires: python3-tqdm +Requires: python3-cython +Requires: python3-numpy +Requires: python3-attributee +Requires: python3-dotty-dict +Requires: python3-lap +Requires: python3-matplotlib +Requires: python3-mmcls +Requires: python3-motmetrics +Requires: python3-packaging +Requires: python3-pandas +Requires: python3-pycocotools +Requires: python3-scipy +Requires: python3-seaborn +Requires: python3-terminaltables +Requires: python3-tqdm +Requires: python3-asynctest +Requires: python3-codecov +Requires: python3-flake8 +Requires: python3-interrogate +Requires: python3-isort +Requires: python3-kwarray +Requires: python3-pytest +Requires: python3-ubelt +Requires: python3-xdoctest +Requires: python3-yapf +Requires: python3-cython +Requires: python3-numpy +Requires: python3-mmcls +Requires: python3-mmcv-full +Requires: python3-mmdet +Requires: python3-asynctest +Requires: python3-codecov +Requires: python3-flake8 +Requires: python3-interrogate +Requires: python3-isort +Requires: python3-kwarray +Requires: python3-pytest +Requires: python3-ubelt +Requires: python3-xdoctest +Requires: python3-yapf + +%description +<div align="center"> + <img src="resources/mmtrack-logo.png" width="600"/> + <div> </div> + <div align="center"> + <b><font size="5">OpenMMLab website</font></b> + <sup> + <a href="https://openmmlab.com"> + <i><font size="4">HOT</font></i> + </a> + </sup> + + <b><font size="5">OpenMMLab platform</font></b> + <sup> + <a href="https://platform.openmmlab.com"> + <i><font size="4">TRY IT OUT</font></i> + </a> + </sup> + </div> + <div> </div> + +[](https://pypi.org/project/mmtrack/) +[](https://pypi.org/project/mmtrack) +[](https://mmtracking.readthedocs.io/en/latest/) +[](https://github.com/open-mmlab/mmtracking/actions) +[](https://codecov.io/gh/open-mmlab/mmtracking) +[](https://github.com/open-mmlab/mmtracking/blob/master/LICENSE) + +[📘Documentation](https://mmtracking.readthedocs.io/) | +[🛠️Installation](https://mmtracking.readthedocs.io/en/latest/install.html) | +[👀Model Zoo](https://mmtracking.readthedocs.io/en/latest/model_zoo.html) | +[🆕Update News](https://mmtracking.readthedocs.io/en/latest/changelog.html) | +[🤔Reporting Issues](https://github.com/open-mmlab/mmtracking/issues/new/choose) + +</div> + +<div align="center"> + +English | [简体中文](README_zh-CN.md) + +</div> + +## Introduction + +MMTracking is an open source video perception toolbox by PyTorch. It is a part of [OpenMMLab](https://openmmlab.com) project. + +The master branch works with **PyTorch1.5+**. + +<div align="center"> + <img src="https://user-images.githubusercontent.com/24663779/103343312-c724f480-4ac6-11eb-9c22-b56f1902584e.gif" width="800"/> +</div> + +### Major features + +- **The First Unified Video Perception Platform** + + We are the first open source toolbox that unifies versatile video perception tasks include video object detection, multiple object tracking, single object tracking and video instance segmentation. + +- **Modular Design** + + We decompose the video perception framework into different components and one can easily construct a customized method by combining different modules. + +- **Simple, Fast and Strong** + + **Simple**: MMTracking interacts with other OpenMMLab projects. It is built upon [MMDetection](https://github.com/open-mmlab/mmdetection) that we can capitalize any detector only through modifying the configs. + + **Fast**: All operations run on GPUs. The training and inference speeds are faster than or comparable to other implementations. + + **Strong**: We reproduce state-of-the-art models and some of them even outperform the official implementations. + +## What's New + +We release MMTracking 1.0.0rc0, the first version of MMTracking 1.x. + +Built upon the new [training engine](https://github.com/open-mmlab/mmengine), MMTracking 1.x unifies the interfaces of datasets, models, evaluation, and visualization. + +We also support more methods in MMTracking 1.x, such as [StrongSORT](https://github.com/open-mmlab/mmtracking/tree/dev-1.x/configs/mot/strongsort) for MOT, [Mask2Former](https://github.com/open-mmlab/mmtracking/tree/dev-1.x/configs/vis/mask2former) for VIS, [PrDiMP](https://github.com/open-mmlab/mmtracking/tree/dev-1.x/configs/sot/prdimp) for SOT. + +Please refer to [dev-1.x](https://github.com/open-mmlab/mmtracking/tree/dev-1.x) branch for the using of MMTracking 1.x. + +## Installation + +Please refer to [install.md](docs/en/install.md) for install instructions. + +## Getting Started + +Please see [dataset.md](docs/en/dataset.md) and [quick_run.md](docs/en/quick_run.md) for the basic usage of MMTracking. + +A Colab tutorial is provided. You may preview the notebook [here](./demo/MMTracking_Tutorial.ipynb) or directly run it on [Colab](https://colab.research.google.com/github/open-mmlab/mmtracking/blob/master/demo/MMTracking_Tutorial.ipynb). + +There are also usage [tutorials](docs/en/tutorials/), such as [learning about configs](docs/en/tutorials/config.md), [an example about detailed description of vid config](docs/en/tutorials/config_vid.md), [an example about detailed description of mot config](docs/en/tutorials/config_mot.md), [an example about detailed description of sot config](docs/en/tutorials/config_sot.md), [customizing dataset](docs/en/tutorials/customize_dataset.md), [customizing data pipeline](docs/en/tutorials/customize_data_pipeline.md), [customizing vid model](docs/en/tutorials/customize_vid_model.md), [customizing mot model](docs/en/tutorials/customize_mot_model.md), [customizing sot model](docs/en/tutorials/customize_sot_model.md), [customizing runtime settings](docs/en/tutorials/customize_runtime.md) and [useful tools](docs/en/useful_tools_scripts.md). + +## Benchmark and model zoo + +Results and models are available in the [model zoo](docs/en/model_zoo.md). + +### Video Object Detection + +Supported Methods + +- [x] [DFF](configs/vid/dff) (CVPR 2017) +- [x] [FGFA](configs/vid/fgfa) (ICCV 2017) +- [x] [SELSA](configs/vid/selsa) (ICCV 2019) +- [x] [Temporal RoI Align](configs/vid/temporal_roi_align) (AAAI 2021) + +Supported Datasets + +- [x] [ILSVRC](http://image-net.org/challenges/LSVRC/2017/) + +### Single Object Tracking + +Supported Methods + +- [x] [SiameseRPN++](configs/sot/siamese_rpn) (CVPR 2019) +- [x] [STARK](configs/sot/stark) (ICCV 2021) +- [ ] [PrDiMP](https://arxiv.org/abs/2003.12565) (CVPR2020) (WIP) + +Supported Datasets + +- [x] [LaSOT](http://vision.cs.stonybrook.edu/~lasot/) +- [x] [UAV123](https://cemse.kaust.edu.sa/ivul/uav123/) +- [x] [TrackingNet](https://tracking-net.org/) +- [x] [OTB100](http://www.visual-tracking.net/) +- [x] [GOT10k](http://got-10k.aitestunion.com/) +- [x] [VOT2018](https://www.votchallenge.net/vot2018/) + +### Multi-Object Tracking + +Supported Methods + +- [x] [SORT/DeepSORT](configs/mot/deepsort) (ICIP 2016/2017) +- [x] [Tracktor](configs/mot/tracktor) (ICCV 2019) +- [x] [QDTrack](configs/mot/qdtrack) (CVPR 2021) +- [x] [ByteTrack](configs/mot/bytetrack) (ECCV 2022) +- [x] [OC-SORT](configs/mot/ocsort) (arXiv 2022) + +Supported Datasets + +- [x] [MOT Challenge](https://motchallenge.net/) +- [x] [CrowdHuman](https://www.crowdhuman.org/) +- [x] [LVIS](https://www.lvisdataset.org/) +- [x] [TAO](https://taodataset.org/) +- [x] [DanceTrack](https://arxiv.org/abs/2111.14690) + +### Video Instance Segmentation + +Supported Methods + +- [x] [MaskTrack R-CNN](configs/vis/masktrack_rcnn) (ICCV 2019) + +Supported Datasets + +- [x] [YouTube-VIS](https://youtube-vos.org/dataset/vis/) + +## Contributing + +We appreciate all contributions to improve MMTracking. Please refer to [CONTRIBUTING.md](https://github.com/open-mmlab/mmcv/blob/master/CONTRIBUTING.md) for the contributing guideline and [this discussion](https://github.com/open-mmlab/mmtracking/issues/73) for development roadmap. + +## Acknowledgement + +MMTracking is an open source project that welcome any contribution and feedback. +We wish that the toolbox and benchmark could serve the growing research +community by providing a flexible as well as standardized toolkit to reimplement existing methods +and develop their own new video perception methods. + +## Citation + +If you find this project useful in your research, please consider cite: + +```latex +@misc{mmtrack2020, + title={{MMTracking: OpenMMLab} video perception toolbox and benchmark}, + author={MMTracking Contributors}, + howpublished = {\url{https://github.com/open-mmlab/mmtracking}}, + year={2020} +} +``` + +## License + +This project is released under the [Apache 2.0 license](LICENSE). + +## Projects in OpenMMLab + +- [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. +- [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 Generative Model toolbox and benchmark. +- [MMDeploy](https://github.com/open-mmlab/mmdeploy): OpenMMlab deep learning model deployment toolset. + + + + +%package -n python3-mmtrack +Summary: OpenMMLab Unified Video Perception Platform +Provides: python-mmtrack +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-mmtrack +<div align="center"> + <img src="resources/mmtrack-logo.png" width="600"/> + <div> </div> + <div align="center"> + <b><font size="5">OpenMMLab website</font></b> + <sup> + <a href="https://openmmlab.com"> + <i><font size="4">HOT</font></i> + </a> + </sup> + + <b><font size="5">OpenMMLab platform</font></b> + <sup> + <a href="https://platform.openmmlab.com"> + <i><font size="4">TRY IT OUT</font></i> + </a> + </sup> + </div> + <div> </div> + +[](https://pypi.org/project/mmtrack/) +[](https://pypi.org/project/mmtrack) +[](https://mmtracking.readthedocs.io/en/latest/) +[](https://github.com/open-mmlab/mmtracking/actions) +[](https://codecov.io/gh/open-mmlab/mmtracking) +[](https://github.com/open-mmlab/mmtracking/blob/master/LICENSE) + +[📘Documentation](https://mmtracking.readthedocs.io/) | +[🛠️Installation](https://mmtracking.readthedocs.io/en/latest/install.html) | +[👀Model Zoo](https://mmtracking.readthedocs.io/en/latest/model_zoo.html) | +[🆕Update News](https://mmtracking.readthedocs.io/en/latest/changelog.html) | +[🤔Reporting Issues](https://github.com/open-mmlab/mmtracking/issues/new/choose) + +</div> + +<div align="center"> + +English | [简体中文](README_zh-CN.md) + +</div> + +## Introduction + +MMTracking is an open source video perception toolbox by PyTorch. It is a part of [OpenMMLab](https://openmmlab.com) project. + +The master branch works with **PyTorch1.5+**. + +<div align="center"> + <img src="https://user-images.githubusercontent.com/24663779/103343312-c724f480-4ac6-11eb-9c22-b56f1902584e.gif" width="800"/> +</div> + +### Major features + +- **The First Unified Video Perception Platform** + + We are the first open source toolbox that unifies versatile video perception tasks include video object detection, multiple object tracking, single object tracking and video instance segmentation. + +- **Modular Design** + + We decompose the video perception framework into different components and one can easily construct a customized method by combining different modules. + +- **Simple, Fast and Strong** + + **Simple**: MMTracking interacts with other OpenMMLab projects. It is built upon [MMDetection](https://github.com/open-mmlab/mmdetection) that we can capitalize any detector only through modifying the configs. + + **Fast**: All operations run on GPUs. The training and inference speeds are faster than or comparable to other implementations. + + **Strong**: We reproduce state-of-the-art models and some of them even outperform the official implementations. + +## What's New + +We release MMTracking 1.0.0rc0, the first version of MMTracking 1.x. + +Built upon the new [training engine](https://github.com/open-mmlab/mmengine), MMTracking 1.x unifies the interfaces of datasets, models, evaluation, and visualization. + +We also support more methods in MMTracking 1.x, such as [StrongSORT](https://github.com/open-mmlab/mmtracking/tree/dev-1.x/configs/mot/strongsort) for MOT, [Mask2Former](https://github.com/open-mmlab/mmtracking/tree/dev-1.x/configs/vis/mask2former) for VIS, [PrDiMP](https://github.com/open-mmlab/mmtracking/tree/dev-1.x/configs/sot/prdimp) for SOT. + +Please refer to [dev-1.x](https://github.com/open-mmlab/mmtracking/tree/dev-1.x) branch for the using of MMTracking 1.x. + +## Installation + +Please refer to [install.md](docs/en/install.md) for install instructions. + +## Getting Started + +Please see [dataset.md](docs/en/dataset.md) and [quick_run.md](docs/en/quick_run.md) for the basic usage of MMTracking. + +A Colab tutorial is provided. You may preview the notebook [here](./demo/MMTracking_Tutorial.ipynb) or directly run it on [Colab](https://colab.research.google.com/github/open-mmlab/mmtracking/blob/master/demo/MMTracking_Tutorial.ipynb). + +There are also usage [tutorials](docs/en/tutorials/), such as [learning about configs](docs/en/tutorials/config.md), [an example about detailed description of vid config](docs/en/tutorials/config_vid.md), [an example about detailed description of mot config](docs/en/tutorials/config_mot.md), [an example about detailed description of sot config](docs/en/tutorials/config_sot.md), [customizing dataset](docs/en/tutorials/customize_dataset.md), [customizing data pipeline](docs/en/tutorials/customize_data_pipeline.md), [customizing vid model](docs/en/tutorials/customize_vid_model.md), [customizing mot model](docs/en/tutorials/customize_mot_model.md), [customizing sot model](docs/en/tutorials/customize_sot_model.md), [customizing runtime settings](docs/en/tutorials/customize_runtime.md) and [useful tools](docs/en/useful_tools_scripts.md). + +## Benchmark and model zoo + +Results and models are available in the [model zoo](docs/en/model_zoo.md). + +### Video Object Detection + +Supported Methods + +- [x] [DFF](configs/vid/dff) (CVPR 2017) +- [x] [FGFA](configs/vid/fgfa) (ICCV 2017) +- [x] [SELSA](configs/vid/selsa) (ICCV 2019) +- [x] [Temporal RoI Align](configs/vid/temporal_roi_align) (AAAI 2021) + +Supported Datasets + +- [x] [ILSVRC](http://image-net.org/challenges/LSVRC/2017/) + +### Single Object Tracking + +Supported Methods + +- [x] [SiameseRPN++](configs/sot/siamese_rpn) (CVPR 2019) +- [x] [STARK](configs/sot/stark) (ICCV 2021) +- [ ] [PrDiMP](https://arxiv.org/abs/2003.12565) (CVPR2020) (WIP) + +Supported Datasets + +- [x] [LaSOT](http://vision.cs.stonybrook.edu/~lasot/) +- [x] [UAV123](https://cemse.kaust.edu.sa/ivul/uav123/) +- [x] [TrackingNet](https://tracking-net.org/) +- [x] [OTB100](http://www.visual-tracking.net/) +- [x] [GOT10k](http://got-10k.aitestunion.com/) +- [x] [VOT2018](https://www.votchallenge.net/vot2018/) + +### Multi-Object Tracking + +Supported Methods + +- [x] [SORT/DeepSORT](configs/mot/deepsort) (ICIP 2016/2017) +- [x] [Tracktor](configs/mot/tracktor) (ICCV 2019) +- [x] [QDTrack](configs/mot/qdtrack) (CVPR 2021) +- [x] [ByteTrack](configs/mot/bytetrack) (ECCV 2022) +- [x] [OC-SORT](configs/mot/ocsort) (arXiv 2022) + +Supported Datasets + +- [x] [MOT Challenge](https://motchallenge.net/) +- [x] [CrowdHuman](https://www.crowdhuman.org/) +- [x] [LVIS](https://www.lvisdataset.org/) +- [x] [TAO](https://taodataset.org/) +- [x] [DanceTrack](https://arxiv.org/abs/2111.14690) + +### Video Instance Segmentation + +Supported Methods + +- [x] [MaskTrack R-CNN](configs/vis/masktrack_rcnn) (ICCV 2019) + +Supported Datasets + +- [x] [YouTube-VIS](https://youtube-vos.org/dataset/vis/) + +## Contributing + +We appreciate all contributions to improve MMTracking. Please refer to [CONTRIBUTING.md](https://github.com/open-mmlab/mmcv/blob/master/CONTRIBUTING.md) for the contributing guideline and [this discussion](https://github.com/open-mmlab/mmtracking/issues/73) for development roadmap. + +## Acknowledgement + +MMTracking is an open source project that welcome any contribution and feedback. +We wish that the toolbox and benchmark could serve the growing research +community by providing a flexible as well as standardized toolkit to reimplement existing methods +and develop their own new video perception methods. + +## Citation + +If you find this project useful in your research, please consider cite: + +```latex +@misc{mmtrack2020, + title={{MMTracking: OpenMMLab} video perception toolbox and benchmark}, + author={MMTracking Contributors}, + howpublished = {\url{https://github.com/open-mmlab/mmtracking}}, + year={2020} +} +``` + +## License + +This project is released under the [Apache 2.0 license](LICENSE). + +## Projects in OpenMMLab + +- [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. +- [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 Generative Model toolbox and benchmark. +- [MMDeploy](https://github.com/open-mmlab/mmdeploy): OpenMMlab deep learning model deployment toolset. + + + + +%package help +Summary: Development documents and examples for mmtrack +Provides: python3-mmtrack-doc +%description help +<div align="center"> + <img src="resources/mmtrack-logo.png" width="600"/> + <div> </div> + <div align="center"> + <b><font size="5">OpenMMLab website</font></b> + <sup> + <a href="https://openmmlab.com"> + <i><font size="4">HOT</font></i> + </a> + </sup> + + <b><font size="5">OpenMMLab platform</font></b> + <sup> + <a href="https://platform.openmmlab.com"> + <i><font size="4">TRY IT OUT</font></i> + </a> + </sup> + </div> + <div> </div> + +[](https://pypi.org/project/mmtrack/) +[](https://pypi.org/project/mmtrack) +[](https://mmtracking.readthedocs.io/en/latest/) +[](https://github.com/open-mmlab/mmtracking/actions) +[](https://codecov.io/gh/open-mmlab/mmtracking) +[](https://github.com/open-mmlab/mmtracking/blob/master/LICENSE) + +[📘Documentation](https://mmtracking.readthedocs.io/) | +[🛠️Installation](https://mmtracking.readthedocs.io/en/latest/install.html) | +[👀Model Zoo](https://mmtracking.readthedocs.io/en/latest/model_zoo.html) | +[🆕Update News](https://mmtracking.readthedocs.io/en/latest/changelog.html) | +[🤔Reporting Issues](https://github.com/open-mmlab/mmtracking/issues/new/choose) + +</div> + +<div align="center"> + +English | [简体中文](README_zh-CN.md) + +</div> + +## Introduction + +MMTracking is an open source video perception toolbox by PyTorch. It is a part of [OpenMMLab](https://openmmlab.com) project. + +The master branch works with **PyTorch1.5+**. + +<div align="center"> + <img src="https://user-images.githubusercontent.com/24663779/103343312-c724f480-4ac6-11eb-9c22-b56f1902584e.gif" width="800"/> +</div> + +### Major features + +- **The First Unified Video Perception Platform** + + We are the first open source toolbox that unifies versatile video perception tasks include video object detection, multiple object tracking, single object tracking and video instance segmentation. + +- **Modular Design** + + We decompose the video perception framework into different components and one can easily construct a customized method by combining different modules. + +- **Simple, Fast and Strong** + + **Simple**: MMTracking interacts with other OpenMMLab projects. It is built upon [MMDetection](https://github.com/open-mmlab/mmdetection) that we can capitalize any detector only through modifying the configs. + + **Fast**: All operations run on GPUs. The training and inference speeds are faster than or comparable to other implementations. + + **Strong**: We reproduce state-of-the-art models and some of them even outperform the official implementations. + +## What's New + +We release MMTracking 1.0.0rc0, the first version of MMTracking 1.x. + +Built upon the new [training engine](https://github.com/open-mmlab/mmengine), MMTracking 1.x unifies the interfaces of datasets, models, evaluation, and visualization. + +We also support more methods in MMTracking 1.x, such as [StrongSORT](https://github.com/open-mmlab/mmtracking/tree/dev-1.x/configs/mot/strongsort) for MOT, [Mask2Former](https://github.com/open-mmlab/mmtracking/tree/dev-1.x/configs/vis/mask2former) for VIS, [PrDiMP](https://github.com/open-mmlab/mmtracking/tree/dev-1.x/configs/sot/prdimp) for SOT. + +Please refer to [dev-1.x](https://github.com/open-mmlab/mmtracking/tree/dev-1.x) branch for the using of MMTracking 1.x. + +## Installation + +Please refer to [install.md](docs/en/install.md) for install instructions. + +## Getting Started + +Please see [dataset.md](docs/en/dataset.md) and [quick_run.md](docs/en/quick_run.md) for the basic usage of MMTracking. + +A Colab tutorial is provided. You may preview the notebook [here](./demo/MMTracking_Tutorial.ipynb) or directly run it on [Colab](https://colab.research.google.com/github/open-mmlab/mmtracking/blob/master/demo/MMTracking_Tutorial.ipynb). + +There are also usage [tutorials](docs/en/tutorials/), such as [learning about configs](docs/en/tutorials/config.md), [an example about detailed description of vid config](docs/en/tutorials/config_vid.md), [an example about detailed description of mot config](docs/en/tutorials/config_mot.md), [an example about detailed description of sot config](docs/en/tutorials/config_sot.md), [customizing dataset](docs/en/tutorials/customize_dataset.md), [customizing data pipeline](docs/en/tutorials/customize_data_pipeline.md), [customizing vid model](docs/en/tutorials/customize_vid_model.md), [customizing mot model](docs/en/tutorials/customize_mot_model.md), [customizing sot model](docs/en/tutorials/customize_sot_model.md), [customizing runtime settings](docs/en/tutorials/customize_runtime.md) and [useful tools](docs/en/useful_tools_scripts.md). + +## Benchmark and model zoo + +Results and models are available in the [model zoo](docs/en/model_zoo.md). + +### Video Object Detection + +Supported Methods + +- [x] [DFF](configs/vid/dff) (CVPR 2017) +- [x] [FGFA](configs/vid/fgfa) (ICCV 2017) +- [x] [SELSA](configs/vid/selsa) (ICCV 2019) +- [x] [Temporal RoI Align](configs/vid/temporal_roi_align) (AAAI 2021) + +Supported Datasets + +- [x] [ILSVRC](http://image-net.org/challenges/LSVRC/2017/) + +### Single Object Tracking + +Supported Methods + +- [x] [SiameseRPN++](configs/sot/siamese_rpn) (CVPR 2019) +- [x] [STARK](configs/sot/stark) (ICCV 2021) +- [ ] [PrDiMP](https://arxiv.org/abs/2003.12565) (CVPR2020) (WIP) + +Supported Datasets + +- [x] [LaSOT](http://vision.cs.stonybrook.edu/~lasot/) +- [x] [UAV123](https://cemse.kaust.edu.sa/ivul/uav123/) +- [x] [TrackingNet](https://tracking-net.org/) +- [x] [OTB100](http://www.visual-tracking.net/) +- [x] [GOT10k](http://got-10k.aitestunion.com/) +- [x] [VOT2018](https://www.votchallenge.net/vot2018/) + +### Multi-Object Tracking + +Supported Methods + +- [x] [SORT/DeepSORT](configs/mot/deepsort) (ICIP 2016/2017) +- [x] [Tracktor](configs/mot/tracktor) (ICCV 2019) +- [x] [QDTrack](configs/mot/qdtrack) (CVPR 2021) +- [x] [ByteTrack](configs/mot/bytetrack) (ECCV 2022) +- [x] [OC-SORT](configs/mot/ocsort) (arXiv 2022) + +Supported Datasets + +- [x] [MOT Challenge](https://motchallenge.net/) +- [x] [CrowdHuman](https://www.crowdhuman.org/) +- [x] [LVIS](https://www.lvisdataset.org/) +- [x] [TAO](https://taodataset.org/) +- [x] [DanceTrack](https://arxiv.org/abs/2111.14690) + +### Video Instance Segmentation + +Supported Methods + +- [x] [MaskTrack R-CNN](configs/vis/masktrack_rcnn) (ICCV 2019) + +Supported Datasets + +- [x] [YouTube-VIS](https://youtube-vos.org/dataset/vis/) + +## Contributing + +We appreciate all contributions to improve MMTracking. Please refer to [CONTRIBUTING.md](https://github.com/open-mmlab/mmcv/blob/master/CONTRIBUTING.md) for the contributing guideline and [this discussion](https://github.com/open-mmlab/mmtracking/issues/73) for development roadmap. + +## Acknowledgement + +MMTracking is an open source project that welcome any contribution and feedback. +We wish that the toolbox and benchmark could serve the growing research +community by providing a flexible as well as standardized toolkit to reimplement existing methods +and develop their own new video perception methods. + +## Citation + +If you find this project useful in your research, please consider cite: + +```latex +@misc{mmtrack2020, + title={{MMTracking: OpenMMLab} video perception toolbox and benchmark}, + author={MMTracking Contributors}, + howpublished = {\url{https://github.com/open-mmlab/mmtracking}}, + year={2020} +} +``` + +## License + +This project is released under the [Apache 2.0 license](LICENSE). + +## Projects in OpenMMLab + +- [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. +- [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 Generative Model toolbox and benchmark. +- [MMDeploy](https://github.com/open-mmlab/mmdeploy): OpenMMlab deep learning model deployment toolset. + + + + +%prep +%autosetup -n mmtrack-0.14.0 + +%build +%py3_build + +%install +%py3_install +install -d -m755 %{buildroot}/%{_pkgdocdir} +if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi +if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi +if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi +if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi +pushd %{buildroot} +if [ -d usr/lib ]; then + find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/lib64 ]; then + find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/bin ]; then + find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/sbin ]; then + find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst +fi +touch doclist.lst +if [ -d usr/share/man ]; then + find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst +fi +popd +mv %{buildroot}/filelist.lst . +mv %{buildroot}/doclist.lst . + +%files -n python3-mmtrack -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Wed Apr 12 2023 Python_Bot <Python_Bot@openeuler.org> - 0.14.0-1 +- Package Spec generated |