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Bump to v0.7.0 (#258)
* Bump to v0.7.0 * update date in readme.md
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‎README.md‎

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## Changelog
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v0.6.0 was released in 30/07/2021.
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v0.7.0 was released in 03/09/2021.
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Please refer to [changelog.md](docs/changelog.md) for details and release history.
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## Benchmark and model zoo

‎README_zh-CN.md‎

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## 更新记录
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v0.6.0版本已于2021年7月30日发布，可通过查阅[更新日志](/docs/changelog.md)了解更多细节以及发布历史。
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v0.7.0版本已于2021年9月3日发布，可通过查阅[更新日志](/docs/changelog.md)了解更多细节以及发布历史。
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## 基准测试与模型库
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- [x] [DFF](configs/vid/dff) (CVPR 2017)
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- [x] [FGFA](configs/vid/fgfa) (ICCV 2017)
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- [x] [SELSA](configs/vid/selsa) (ICCV 2019)
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- [x] [Temporal RoI Align](configs/vid/temporal_roi_align) (AAAI 2021)
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支持的多目标跟踪算法:
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请参考[安装指南](docs/install.md)进行安装。
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## 教程
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## 开始使用MMTracking
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请参考[数据集](docs/dataset.md)和[快速开始](docs/quick_run.md)了解MMTracking的基本使用。MMTracking也提供了更详细的[教程](docs/tutorials/)。
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请参考[数据集](docs/dataset.md)和[快速开始](docs/quick_run.md)了解MMTracking的基本使用。MMTracking也提供了更详细的[教程](docs/tutorials/)，比如[了解配置文件](docs/tutorials/config.md), [一个有关视频目标检测器配置文件的详细解释](docs/tutorials/config_vid.md), [一个有关多目标跟踪器配置文件的详细解释](docs/tutorials/config_mot.md), [一个有关单目标跟踪器配置文件的详细解释](docs/tutorials/config_sot.md), [自定义数据集](docs/tutorials/customize_dataset.md), [自定义数据预处理流程]](docs/tutorials/customize_data_pipeline.md), [自定义视频目标检测器](docs/tutorials/customize_vid_model.md), [自定义多目标跟踪器](docs/tutorials/customize_mot_model.md), [自定义单目标跟踪器](docs/tutorials/customize_sot_model.md), [自定义训练配置](docs/tutorials/customize_runtime.md) and [有用的工具和脚本](docs/useful_tools_scripts.md).
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## 参与贡献
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我们非常欢迎用户对于MMTracking做出的任何贡献，可以参考[贡献指南](https://github.com/open-mmlab/mmcv/blob/master/CONTRIBUTING.md)文件了解更多细节。
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## 致谢
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MMTracking是一款开源项目，我们欢迎任何贡献和反馈。我们希望该工具箱和基准测试可以为社区提供灵活的代码工具，供用户复现现有算法并开发自己新的视频目标感知方法。
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## 引用
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}
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```
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## 参与贡献
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我们非常欢迎用户对于MMTracking做出的任何贡献，可以参考[贡献指南]([/.github/CONTRIBUTING.md](https://github.com/open-mmlab/mmcv/blob/master/CONTRIBUTING.md))文件了解更多细节。
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## 致谢
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MMTracking是一款开源项目，我们欢迎任何贡献和反馈。我们希望该工具箱和基准测试可以为社区提供灵活的代码工具，供用户复现现有算法并开发自己新的视频目标感知方法。
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## OpenMMLab 的其他项目
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- [MMCV](https://github.com/open-mmlab/mmcv)：OpenMMLab计算机视觉基础库

‎configs/vid/temporal_roi_align/metafile.yml‎

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Dataset: ILSVRC
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Metrics:
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box AP@0.5: 84.1
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Weights: https://download.openmmlab.com/mmtracking/vid/temporal_roi_align/selsa_troialign_faster_rcnn_r101_dc5_7e_imagenetvid/selsa_troialign_faster_rcnn_r101_dc5_7e_imagenetvid_20210822_111621-22cb96b9.pth
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Weights: https://download.openmmlab.com/mmtracking/vid/temporal_roi_align/selsa_troialign_faster_rcnn_x101_dc5_7e_imagenetvid/selsa_troialign_faster_rcnn_x101_dc5_7e_imagenetvid_20210822_164036-4471ac42.pth

‎docs/changelog.md‎

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## Changelog
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### v0.7.0 (03/09/2021)
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#### Highlights
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- Release code of AAAI 2021 paper 'Temporal ROI Align for Video Object Recognition' ([#247](https://github.com/open-mmlab/mmtracking/pull/247))
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- Refactor English documentations ([#243](https://github.com/open-mmlab/mmtracking/pull/243))
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- Add Chinese documentations ([#248](https://github.com/open-mmlab/mmtracking/pull/248)), ([#250](https://github.com/open-mmlab/mmtracking/pull/250))
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#### New Features
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- Support fp16 training and testing ([#230](https://github.com/open-mmlab/mmtracking/pull/230))
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- Release model using ResNeXt-101 as backbone for all VID methods ([#254](https://github.com/open-mmlab/mmtracking/pull/254))
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- Support the results of Tracktor on MOT15, MOT16 and MOT20 datasets ([#217](https://github.com/open-mmlab/mmtracking/pull/217))
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- Support visualization for single gpu test ([#216](https://github.com/open-mmlab/mmtracking/pull/216))
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#### Bug Fixes
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- Fix a bug in MOTP evaluation ([#235](https://github.com/open-mmlab/mmtracking/pull/235))
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- Fix two bugs in reid training and testing ([#249](https://github.com/open-mmlab/mmtracking/pull/249))
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#### Improvements
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- Refactor anchor in SiameseRPN++ ([#229](https://github.com/open-mmlab/mmtracking/pull/229))
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- Unify model initialization ([#235](https://github.com/open-mmlab/mmtracking/pull/235))
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- Refactor unittest ([#231](https://github.com/open-mmlab/mmtracking/pull/231))
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### v0.6.0 (30/07/2021)
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#### Highlights

‎docs/install.md‎

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|:-------------------:|:------------------------:|:-----------------------------:|
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| master | mmcv-full>=1.3.8, <1.4.0 | MMDetection>=2.14.0 |
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| 0.6.0 | mmcv-full>=1.3.8, <1.4.0 | MMDetection>=2.14.0 |
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| 0.7.0 | mmcv-full>=1.3.8, <1.4.0 | MMDetection>=2.14.0 |
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## Installation
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‎docs_zh-CN/install.md‎

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| master | mmcv-full>=1.3.8, <1.4.0 | MMDetection>=2.14.0 |
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| 0.6.0 | mmcv-full>=1.3.8, <1.4.0 | MMDetection>=2.14.0 |
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| 0.7.0 | mmcv-full>=1.3.8, <1.4.0 | MMDetection>=2.14.0 |
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## 安装
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‎mmtrack/__init__.py‎

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assert (mmcv_min_version <= mmcv_version < mmcv_max_version), \
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f'MMCV=={mmcv.__version__} is used but incompatible. ' \
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f'Please install mmcv>={mmcv_min_version}, <{mmcv_max_version}.'
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f'Please install mmcv>={MMCV_MIN}, <{MMCV_MAX}.'
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mmdet_min_version = digit_version(MMDET_MIN)
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mmdet_version = digit_version(mmdet.__version__)
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assert (mmdet_min_version <= mmdet_version), \
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f'Please install mmdet>={MMDET_MIN}.'
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__all__ = ['__version__', 'version_info', 'digit_version']

‎mmtrack/version.py‎

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# Copyright (c) Open-MMLab. All rights reserved.
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__version__ = '0.6.0'
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__version__ = '0.7.0'
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def parse_version_info(version_str):

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