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* 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

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Co-authored-by: ZwwWayne <[email protected]>
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Tai-Wang and ZwwWayne authored Jan 4, 2021
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10 changes: 6 additions & 4 deletions README.md
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[![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/

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## 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
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## 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

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20 changes: 20 additions & 0 deletions docs/changelog.md
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## 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
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5 changes: 3 additions & 2 deletions docs/getting_started.md
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# Installation

## Install mmdetection
## Install MMDetection3D

a. Create a conda virtual environment and activate it.

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| 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|
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2 changes: 1 addition & 1 deletion mmdet3d/__init__.py
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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__)

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2 changes: 1 addition & 1 deletion mmdet3d/version.py
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# Copyright (c) Open-MMLab. All rights reserved.

__version__ = '0.8.0'
__version__ = '0.9.0'
short_version = __version__


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