Bump to v0.17.0 (#841)

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@ -48,7 +48,7 @@ This project is released under the [Apache 2.0 license](LICENSE).
## Changelog ## Changelog
v0.16.0 was released in 08/04/2021. v0.17.0 was released in 09/01/2021.
Please refer to [changelog.md](docs/changelog.md) for details and release history. Please refer to [changelog.md](docs/changelog.md) for details and release history.
## Benchmark and model zoo ## Benchmark and model zoo

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@ -47,7 +47,7 @@ MMSegmentation 是一个基于 PyTorch 的语义分割开源工具箱。它是 O
## 更新日志 ## 更新日志
最新的月度版本 v0.16.0 在 2021.08.04 发布。 最新的月度版本 v0.17.0 在 2021.09.01 发布。
如果想了解更多版本更新细节和历史信息,请阅读[更新日志](docs/changelog.md)。 如果想了解更多版本更新细节和历史信息,请阅读[更新日志](docs/changelog.md)。
## 基准测试和模型库 ## 基准测试和模型库

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@ -3,8 +3,8 @@ ARG CUDA="10.1"
ARG CUDNN="7" ARG CUDNN="7"
FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel
ARG MMCV="1.3.1" ARG MMCV="1.3.12"
ARG MMSEG="0.13.0" ARG MMSEG="0.17.0"
ENV PYTHONUNBUFFERED TRUE ENV PYTHONUNBUFFERED TRUE

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@ -1,5 +1,36 @@
## Changelog ## Changelog
### V0.17 (09/01/2021)
**Highlights**
- Support SegFormer
- Support DPT
- Support Dark Zurich and Nighttime Driving datasets
- Support progressive evaluation
**New Features**
- Support SegFormer ([#599](https://github.com/open-mmlab/mmsegmentation/pull/599))
- Support DPT ([#605](https://github.com/open-mmlab/mmsegmentation/pull/605))
- Support Dark Zurich and Nighttime Driving datasets ([#815](https://github.com/open-mmlab/mmsegmentation/pull/815))
- Support progressive evaluation ([#709](https://github.com/open-mmlab/mmsegmentation/pull/709))
**Improvements**
- Add multiscale_output interface and unittests for HRNet ([#830](https://github.com/open-mmlab/mmsegmentation/pull/830))
- Support inherit cityscapes dataset ([#750](https://github.com/open-mmlab/mmsegmentation/pull/750))
- Fix some typos in README.md ([#824](https://github.com/open-mmlab/mmsegmentation/pull/824))
- Delete convert function and add instruction to ViT/Swin README.md ([#791](https://github.com/open-mmlab/mmsegmentation/pull/791))
- Add vit/swin/mit convert weight scripts ([#783](https://github.com/open-mmlab/mmsegmentation/pull/783))
- Add copyright files ([#796](https://github.com/open-mmlab/mmsegmentation/pull/796))
**Bug Fixes**
- Fix invalid checkpoint link in inference_demo.ipynb ([#814](https://github.com/open-mmlab/mmsegmentation/pull/814))
- Ensure that items in dataset have the same order across multi machine ([#780](https://github.com/open-mmlab/mmsegmentation/pull/780))
- Fix the log error ([#766](https://github.com/open-mmlab/mmsegmentation/pull/766))
### V0.16 (08/04/2021) ### V0.16 (08/04/2021)
**Highlights** **Highlights**

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@ -12,6 +12,7 @@ The compatible MMSegmentation and MMCV versions are as below. Please install the
| MMSegmentation version | MMCV version | | MMSegmentation version | MMCV version |
|:-------------------:|:-------------------:| |:-------------------:|:-------------------:|
| master | mmcv-full>=1.3.7, <1.4.0 | | master | mmcv-full>=1.3.7, <1.4.0 |
| 0.17.0 | mmcv-full>=1.3.7, <1.4.0 |
| 0.16.0 | mmcv-full>=1.3.7, <1.4.0 | | 0.16.0 | mmcv-full>=1.3.7, <1.4.0 |
| 0.15.0 | mmcv-full>=1.3.7, <1.4.0 | | 0.15.0 | mmcv-full>=1.3.7, <1.4.0 |
| 0.14.1 | mmcv-full>=1.3.7, <1.4.0 | | 0.14.1 | mmcv-full>=1.3.7, <1.4.0 |

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@ -12,6 +12,7 @@
| MMSegmentation 版本 | MMCV 版本 | | MMSegmentation 版本 | MMCV 版本 |
|:-------------------:|:-------------------:| |:-------------------:|:-------------------:|
| master | mmcv-full>=1.3.7, <1.4.0 | | master | mmcv-full>=1.3.7, <1.4.0 |
| 0.17.0 | mmcv-full>=1.3.7, <1.4.0 |
| 0.16.0 | mmcv-full>=1.3.7, <1.4.0 | | 0.16.0 | mmcv-full>=1.3.7, <1.4.0 |
| 0.15.0 | mmcv-full>=1.3.7, <1.4.0 | | 0.15.0 | mmcv-full>=1.3.7, <1.4.0 |
| 0.14.1 | mmcv-full>=1.3.7, <1.4.0 | | 0.14.1 | mmcv-full>=1.3.7, <1.4.0 |

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@ -1,6 +1,6 @@
# Copyright (c) Open-MMLab. All rights reserved. # Copyright (c) Open-MMLab. All rights reserved.
__version__ = '0.16.0' __version__ = '0.17.0'
def parse_version_info(version_str): def parse_version_info(version_str):