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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).
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## Changelog
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v0.16.0 was released in 08/04/2021.
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v0.17.0 was released in 09/01/2021.
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Please refer to [changelog.md](docs/changelog.md) for details and release history.
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## 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
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## 更新日志
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最新的月度版本 v0.16.0 在 2021.08.04 发布。
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最新的月度版本 v0.17.0 在 2021.09.01 发布。
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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)。
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## 基准测试和模型库
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@ -3,8 +3,8 @@ ARG CUDA="10.1"
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ARG CUDNN="7"
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FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel
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ARG MMCV="1.3.1"
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ARG MMSEG="0.13.0"
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ARG MMCV="1.3.12"
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ARG MMSEG="0.17.0"
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ENV PYTHONUNBUFFERED TRUE
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@ -1,5 +1,36 @@
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## Changelog
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### V0.17 (09/01/2021)
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**Highlights**
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- Support SegFormer
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- Support DPT
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- Support Dark Zurich and Nighttime Driving datasets
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- Support progressive evaluation
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**New Features**
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- Support SegFormer ([#599](https://github.com/open-mmlab/mmsegmentation/pull/599))
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- Support DPT ([#605](https://github.com/open-mmlab/mmsegmentation/pull/605))
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- Support Dark Zurich and Nighttime Driving datasets ([#815](https://github.com/open-mmlab/mmsegmentation/pull/815))
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- Support progressive evaluation ([#709](https://github.com/open-mmlab/mmsegmentation/pull/709))
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**Improvements**
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- Add multiscale_output interface and unittests for HRNet ([#830](https://github.com/open-mmlab/mmsegmentation/pull/830))
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- Support inherit cityscapes dataset ([#750](https://github.com/open-mmlab/mmsegmentation/pull/750))
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- Fix some typos in README.md ([#824](https://github.com/open-mmlab/mmsegmentation/pull/824))
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- Delete convert function and add instruction to ViT/Swin README.md ([#791](https://github.com/open-mmlab/mmsegmentation/pull/791))
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- Add vit/swin/mit convert weight scripts ([#783](https://github.com/open-mmlab/mmsegmentation/pull/783))
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- Add copyright files ([#796](https://github.com/open-mmlab/mmsegmentation/pull/796))
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**Bug Fixes**
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- Fix invalid checkpoint link in inference_demo.ipynb ([#814](https://github.com/open-mmlab/mmsegmentation/pull/814))
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- Ensure that items in dataset have the same order across multi machine ([#780](https://github.com/open-mmlab/mmsegmentation/pull/780))
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- Fix the log error ([#766](https://github.com/open-mmlab/mmsegmentation/pull/766))
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### V0.16 (08/04/2021)
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**Highlights**
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@ -12,6 +12,7 @@ The compatible MMSegmentation and MMCV versions are as below. Please install the
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| MMSegmentation version | MMCV version |
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|:-------------------:|:-------------------:|
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| master | mmcv-full>=1.3.7, <1.4.0 |
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| 0.17.0 | mmcv-full>=1.3.7, <1.4.0 |
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| 0.16.0 | mmcv-full>=1.3.7, <1.4.0 |
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| 0.15.0 | mmcv-full>=1.3.7, <1.4.0 |
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| 0.14.1 | mmcv-full>=1.3.7, <1.4.0 |
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@ -12,6 +12,7 @@
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| MMSegmentation 版本 | MMCV 版本 |
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|:-------------------:|:-------------------:|
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| master | mmcv-full>=1.3.7, <1.4.0 |
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| 0.17.0 | mmcv-full>=1.3.7, <1.4.0 |
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| 0.16.0 | mmcv-full>=1.3.7, <1.4.0 |
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| 0.15.0 | mmcv-full>=1.3.7, <1.4.0 |
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| 0.14.1 | mmcv-full>=1.3.7, <1.4.0 |
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@ -1,6 +1,6 @@
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# Copyright (c) Open-MMLab. All rights reserved.
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__version__ = '0.16.0'
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__version__ = '0.17.0'
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def parse_version_info(version_str):
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