Bump to v0.6.1 (#161)

* Update v0.6.1 change log

* Update version.py

* Update init file to be compatible with mmdet

* Changelog refinement

* Sync modification in New Features

* Sync modification in Highlights

* Changelog refinement

* Update README.md for v0.6.1

* Update a newest [fix] PR

README.md

@@ -8,7 +8,7 @@
 [![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 v0.6.0.
+**News**: We released the codebase v0.6.1.
 
 Documentation: https://mmdetection3d.readthedocs.io/
 
@@ -56,7 +56,7 @@ This project is released under the [Apache 2.0 license](LICENSE).
 
 ## Changelog
 
-v0.6.0 was released in 20/9/2020.
+v0.6.1 was released in 11/10/2020.
 Please refer to [changelog.md](docs/changelog.md) for details and release history.
 
 ## Benchmark and model zoo

docs/changelog.md

 ## Changelog
 
+### v0.6.1 (11/10/2020)
+
+#### Highlights
+
+- Support mixed precision training of voxel-based methods
+- Support docker with pytorch 1.6.0
+- Update baseline configs and results ([CenterPoint](https://github.com/open-mmlab/mmdetection3d/tree/master/configs/centerpoint) on nuScenes and [PointPillars](https://github.com/open-mmlab/mmdetection3d/tree/master/configs/pointpillars) on Waymo with full dataset)
+- Switch model zoo to download.openmmlab.com
+
+#### Bug Fixes
+
+- Fix a bug of visualization in multi-batch case (#120)
+- Fix bugs in dcn unit test (#130)
+- Fix dcn bias bug in centerpoint (#137)
+- Fix dataset mapping in the evaluation of nuScenes mini dataset (#140)
+- Fix origin initialization in `CameraInstance3DBoxes` (#148, #150)
+- Correct documentation link in the getting_started.md (#159)
+- Fix model save path bug in gather_models.py (#153)
+- Fix image padding shape bug in `PointFusion` (#162)
+
+#### New Features
+
+- Support dataset pipeline `VoxelBasedPointSampler` to sample multi-sweep points based on voxelization. (#125)
+- Support mixed precision training of voxel-based methods (#132)
+- Support docker with pytorch 1.6.0 (#160)
+
+#### Improvements
+
+- Reduce requirements for the case exclusive of Waymo (#121)
+- Switch model zoo to download.openmmlab.com (#126)
+- Update docs related to Waymo (#128)
+- Add version assertion in the [init file](https://github.com/open-mmlab/mmdetection3d/blob/master/mmdet3d/__init__.py) (#129)
+- Add evaluation interval setting for CenterPoint (#131)
+- Add unit test for CenterPoint (#133)
+- Update [PointPillars](https://github.com/open-mmlab/mmdetection3d/tree/master/configs/pointpillars) baselines on Waymo with full dataset (#142)
+- Update [CenterPoint](https://github.com/open-mmlab/mmdetection3d/tree/master/configs/centerpoint) results with models and logs (#154)
+
 ### v0.6.0 (20/9/2020)
 
 #### Highlights

mmdet3d/__init__.py

@@ -16,7 +16,7 @@ def digit_version(version_str):
     return digit_version
 
 
-mmcv_minimum_version = '1.1.3'
+mmcv_minimum_version = '1.1.5'
 mmdet_maximum_version = '1.2'
 mmcv_version = digit_version(mmcv.__version__)
 
@@ -26,8 +26,8 @@ assert (mmcv_version >= digit_version(mmcv_minimum_version)
     f'MMCV=={mmcv.__version__} is used but incompatible. ' \
     f'Please install mmcv>={mmcv_minimum_version}, <={mmdet_maximum_version}.'
 
-mmdet_minimum_version = '2.4.0'
-mmdet_maximum_version = '2.4.0'
+mmdet_minimum_version = '2.5.0'
+mmdet_maximum_version = '2.5.0'
 mmdet_version = digit_version(mmdet.__version__)
 assert (mmdet_version >= digit_version(mmdet_minimum_version)
         and mmdet_version <= digit_version(mmdet_maximum_version)), \

mmdet3d/version.py

 # Copyright (c) Open-MMLab. All rights reserved.
 
-__version__ = '0.6.0'
+__version__ = '0.6.1'
 short_version = __version__