Bump to v0.13.0 (#536)

* bump to v0.13.0

* fix ci

* fix docker

.github/workflows/build.yml

@@ -88,6 +88,10 @@ jobs:
         uses: actions/setup-python@v2
         with:
           python-version: ${{ matrix.python-version }}
+      - name: Fetch GPG keys
+        run: |
+          apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
+          apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
       # Add ppa source repo for python3.9.
       - name: Add python3.9 source
         run: |
@@ -157,6 +161,10 @@ jobs:
         uses: actions/setup-python@v2
         with:
           python-version: ${{ matrix.python-version }}
+      - name: Fetch GPG keys
+        run: |
+          apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
+          apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
       # Add ppa source repo for python3.9.
       - name: Add python3.9 source
         run: |

README.md

@@ -67,7 +67,7 @@ This project is released under the [Apache 2.0 license](LICENSE).
 
 Release [QDTrack](configs/mot/qdtrack) pretrained models.
 
-v0.12.0 was released in 01/04/2022.
+v0.13.0 was released in 29/04/2022.
 Please refer to [changelog.md](docs/en/changelog.md) for details and release history.
 
 ## Benchmark and model zoo
@@ -103,8 +103,9 @@ 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.
-We also provide 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).
+Please see [dataset.md](docs/en/dataset.md) and [quick_run.md](docs/en/quick_run.md) for the basic usage of MMTracking. We also provide [tracking colab tutorial](./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).
 
 ## Contributing
 

README_zh-CN.md

@@ -64,7 +64,7 @@ MMTracking是一款基于PyTorch的视频目标感知开源工具箱，是[OpenM
 
 ## 更新记录
 
-v0.12.0版本已于2022年04月01日发布，可通过查阅[更新日志](docs/en/changelog.md)了解更多细节以及发布历史。
+v0.13.0版本已于2022年04月29日发布，可通过查阅[更新日志](docs/en/changelog.md)了解更多细节以及发布历史。
 
 ## 基准测试与模型库
 
@@ -99,7 +99,9 @@ v0.12.0版本已于2022年04月01日发布，可通过查阅[更新日志](docs/
 
 ## 开始使用MMTracking
 
-请参考[数据集](docs/en/dataset.md)和[快速开始](docs/en/quick_run.md)了解MMTracking的基本使用。MMTracking也提供了更详细的[教程](docs/en/tutorials/)，比如[配置文件简介](docs/en/tutorials/config.md), [视频目标检测器配置文件详解](docs/en/tutorials/config_vid.md), [多目标跟踪器配置文件详解](docs/en/tutorials/config_mot.md), [单目标跟踪器配置文件详解](docs/en/tutorials/config_sot.md), [自定义数据集](docs/en/tutorials/customize_dataset.md), [自定义数据预处理流程](docs/en/tutorials/customize_data_pipeline.md), [自定义视频目标检测器](docs/en/tutorials/customize_vid_model.md), [自定义多目标跟踪器](docs/en/tutorials/customize_mot_model.md), [自定义单目标跟踪器](docs/en/tutorials/customize_sot_model.md), [自定义训练配置](docs/en/tutorials/customize_runtime.md) 以及 [有用的工具和脚本](docs/en/useful_tools_scripts.md).
+请参考[数据集](docs/en/dataset.md)和[快速开始](docs/en/quick_run.md)了解MMTracking的基本使用。我们也提供了[跟踪的colab教程](./demo/MMTracking_Tutorial.ipynb)。
+
+MMTracking也提供了更详细的[教程](docs/en/tutorials/)，比如[配置文件简介](docs/en/tutorials/config.md), [视频目标检测器配置文件详解](docs/en/tutorials/config_vid.md), [多目标跟踪器配置文件详解](docs/en/tutorials/config_mot.md), [单目标跟踪器配置文件详解](docs/en/tutorials/config_sot.md), [自定义数据集](docs/en/tutorials/customize_dataset.md), [自定义数据预处理流程](docs/en/tutorials/customize_data_pipeline.md), [自定义视频目标检测器](docs/en/tutorials/customize_vid_model.md), [自定义多目标跟踪器](docs/en/tutorials/customize_mot_model.md), [自定义单目标跟踪器](docs/en/tutorials/customize_sot_model.md), [自定义训练配置](docs/en/tutorials/customize_runtime.md) 以及 [有用的工具和脚本](docs/en/useful_tools_scripts.md).
 
 ## 参与贡献
 

docker/Dockerfile

@@ -9,6 +9,10 @@ ENV TORCH_CUDA_ARCH_LIST="6.0 6.1 7.0+PTX"
 ENV TORCH_NVCC_FLAGS="-Xfatbin -compress-all"
 ENV CMAKE_PREFIX_PATH="$(dirname $(which conda))/../"
 
+# To fix GPG key error when running apt-get update
+RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
+RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
+
 RUN apt-get update && apt-get install -y ffmpeg libsm6 libxext6 git ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6 \
     && apt-get clean \
     && rm -rf /var/lib/apt/lists/*

docs/en/changelog.md

@@ -1,5 +1,27 @@
 ## Changelog
 
+### v0.13.0 (29/04/2022)
+
+#### Highlights
+
+- Support tracking colab tutorial ([#511](https://github.com/open-mmlab/mmtracking/pull/511))
+
+#### New Features
+
+- Refactor the training datasets of SiamRPN++ ([#496](https://github.com/open-mmlab/mmtracking/pull/496)), ([#518](https://github.com/open-mmlab/mmtracking/pull/518))
+
+- Support loading data from ceph for SOT datasets ([#494](https://github.com/open-mmlab/mmtracking/pull/494))
+
+- Support loading data from ceph for MOT challenge dataset ([#517](https://github.com/open-mmlab/mmtracking/pull/517))
+
+- Support evaluation metric for VIS task ([#501](https://github.com/open-mmlab/mmtracking/pull/501))
+
+#### Bug Fixes
+
+- Fix a bug in the LaSOT datasets and update the pretrained models of STARK ([#483](https://github.com/open-mmlab/mmtracking/pull/483)), ([#503](https://github.com/open-mmlab/mmtracking/pull/503))
+
+- Fix a bug in the format_results function of VIS task ([#504](https://github.com/open-mmlab/mmtracking/pull/504))
+
 ### v0.12.0 (01/04/2022)
 
 #### Highlights

docs/en/install.md

@@ -12,7 +12,8 @@ The compatible MMTracking, MMCV, and MMDetection versions are as below. Please i
 
 |  MMTracking version |       MMCV version       |      MMDetection version      |
 |:-------------------:|:------------------------:|:-----------------------------:|
-|        master       | mmcv-full>=1.3.17, <1.5.0 |       MMDetection>=2.19.1     |
+|        master       | mmcv-full>=1.3.17, <1.6.0 |       MMDetection>=2.19.1     |
+|        0.13.0        | mmcv-full>=1.3.17, <1.6.0 |       MMDetection>=2.19.1     |
 |        0.12.0        | mmcv-full>=1.3.17, <1.5.0 |       MMDetection>=2.19.1     |
 |        0.11.0        | mmcv-full>=1.3.17, <1.5.0 |       MMDetection>=2.19.1     |
 |        0.10.0        | mmcv-full>=1.3.17, <1.5.0 |       MMDetection>=2.19.1     |

docs/zh_cn/install.md

@@ -12,7 +12,8 @@
 
 |  MMTracking version |       MMCV version       |      MMDetection version      |
 |:-------------------:|:------------------------:|:-----------------------------:|
-|        master       | mmcv-full>=1.3.17, <1.5.0 |       MMDetection>=2.19.1     |
+|        master       | mmcv-full>=1.3.17, <1.6.0 |       MMDetection>=2.19.1     |
+|        0.13.0        | mmcv-full>=1.3.17, <1.6.0 |       MMDetection>=2.19.1     |
 |        0.12.0        | mmcv-full>=1.3.17, <1.5.0 |       MMDetection>=2.19.1     |
 |        0.11.0        | mmcv-full>=1.3.17, <1.5.0 |       MMDetection>=2.19.1     |
 |        0.10.0        | mmcv-full>=1.3.17, <1.5.0 |       MMDetection>=2.19.1     |

mmtrack/version.py

@@ -1,6 +1,6 @@
 # Copyright (c) Open-MMLab. All rights reserved.
 
-__version__ = '0.12.0'
+__version__ = '0.13.0'
 
 
 def parse_version_info(version_str):