Bump to v0.9.0 (#252)

* Update README.md

* Update version.py

* Update getting_started.md

* Update __init__.py

* Update changelog.md

* Update README.md

* Update news for nuScenes detection challenge

* Update README to be compatible with refactored doc

* Update an installation subtitle

* rephrase
Co-authored-by: ZwwWayne <wayne.zw@outlook.com>

README.md

@@ -8,7 +8,9 @@
 [![license](https://img.shields.io/github/license/open-mmlab/mmdetection3d.svg)](https://github.com/open-mmlab/mmdetection3d/blob/master/LICENSE)
 
 
-**News**: We released the codebase v0.8.0.
+**News**: We released the codebase v0.9.0.
+
+In the recent [nuScenes 3D detection challenge](https://www.nuscenes.org/object-detection?externalData=all&mapData=all&modalities=Any) of the 5th AI Driving Olympics in NeurIPS 2020, we obtained the best PKL award and the second runner-up by multi-modality entry, and the best vision-only results. Code and models will be released soon!
 
 Documentation: https://mmdetection3d.readthedocs.io/
 
@@ -56,7 +58,7 @@ This project is released under the [Apache 2.0 license](LICENSE).
 
 ## Changelog
 
-v0.8.0 was released in 30/11/2020.
+v0.9.0 was released in 31/12/2020.
 Please refer to [changelog.md](docs/changelog.md) for details and release history.
 
 ## Benchmark and model zoo
@@ -84,11 +86,11 @@ Other features
 
 ## Installation
 
-Please refer to [install.md](docs/install.md) for installation and dataset preparation.
+Please refer to [getting_started.md](docs/getting_started.md) for installation.
 
 ## Get Started
 
-Please see [getting_started.md](docs/getting_started.md) for the basic usage of MMDetection3D. There are also tutorials for [finetuning models](docs/tutorials/finetune.md), [adding new dataset](docs/tutorials/new_dataset.md), [designing data pipeline](docs/tutorials/data_pipeline.md), [adding new modules](docs/tutorials/new_modules.md), and [waymo dataset](docs/tutorials/waymo.md).
+Please see [getting_started.md](docs/getting_started.md) for the basic usage of MMDetection3D. We provide guidance for quick run [with existing dataset](docs/1_exist_data_model.md) and [with customized dataset](docs/2_new_data_model.md) for beginners. There are also tutorials for [learning configuration systems](docs/tutorials/config.md), [adding new dataset](docs/tutorials/customize_dataset.md), [designing data pipeline](docs/tutorials/data_pipeline.md), [customizing models](docs/tutorials/customize_models.md), [customizing runtime settings](docs/tutorials/customize_runtime.md) and [waymo dataset](docs/tutorials/waymo.md).
 
 ## Contributing
 

docs/changelog.md

 ## Changelog
 
+### v0.9.0 (31/12/2020)
+
+#### Highlights
+
+- Documentation refactoring with better structure, especially about how to implement new models and customized datasets.
+- More compatible with refactored point structure by bug fixes in ground truth sampling.
+
+#### Bug Fixes
+
+- Fix point structure related bugs in ground truth sampling (#211)
+- Fix loading points in ground truth sampling augmentation on nuScenes (#221)
+- Fix channel setting in the SeparateHead of CenterPoint (#228)
+- Fix evaluation for indoors 3D detection in case of less classes in prediction (#231)
+- Remove unreachable lines in nuScenes data converter (#235)
+- Minor adjustments of numpy implementation for perspective projection and prediction filtering criterion in KITTI evaluation (#241)
+
+#### Improvements
+
+- Documentation refactoring (#242)
+
 ### v0.8.0 (30/11/2020)
 
 #### Highlights

docs/getting_started.md

@@ -9,7 +9,7 @@
 
 # Installation
 
-## Install mmdetection
+## Install MMDetection3D
 
 a. Create a conda virtual environment and activate it.
 
@@ -80,7 +80,8 @@ pip install -v -e .  # or "python setup.py develop"
 
 | MMDetection3D version | MMDetection version |    MMCV version     |
 |:-------------------:|:-------------------:|:-------------------:|
-| master              | mmdet>=2.5.0        | mmcv-full>=1.1.5, <=1.3|
+| master              | mmdet>=2.5.0        | mmcv-full>=1.2.4, <=1.3|
+| 0.9.0               | mmdet>=2.5.0        | mmcv-full>=1.2.4, <=1.3|
 | 0.8.0               | mmdet>=2.5.0        | mmcv-full>=1.1.5, <=1.3|
 | 0.7.0               | mmdet>=2.5.0        | mmcv-full>=1.1.5, <=1.3|
 | 0.6.0               | mmdet>=2.4.0        | mmcv-full>=1.1.3, <=1.2|

mmdet3d/__init__.py

@@ -16,7 +16,7 @@ def digit_version(version_str):
     return digit_version
 
 
-mmcv_minimum_version = '1.1.5'
+mmcv_minimum_version = '1.2.4'
 mmcv_maximum_version = '1.3.0'
 mmcv_version = digit_version(mmcv.__version__)
 

mmdet3d/version.py

 # Copyright (c) Open-MMLab. All rights reserved.
 
-__version__ = '0.8.0'
+__version__ = '0.9.0'
 short_version = __version__