bump v1.0.0rc6 (#2647)

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open-mmlab · Mar 3, 2023 · 779b86c · 779b86c
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diff --git a/README.md b/README.md
@@ -76,11 +76,11 @@ The 1.x branch works with **PyTorch 1.6+**.
 
 ## What's New
 
-v1.0.0rc5 was released on 01/02/2023.
+v1.0.0rc6 was released on 03/03/2023.
 Please refer to [changelog.md](docs/en/notes/changelog.md) for details and release history.
 
-- Support ISNet (ICCV'2021) in projects ([#2400](https://github.com/open-mmlab/mmsegmentation/pull/2400))
-- Support HSSN (CVPR'2022) in projects ([#2444](https://github.com/open-mmlab/mmsegmentation/pull/2444))
+- Support MMSegInferencer ([#2413](https://github.com/open-mmlab/mmsegmentation/pull/2413), [#2658](https://github.com/open-mmlab/mmsegmentation/pull/2658))
+- Support REFUGE dataset ([#2554](https://github.com/open-mmlab/mmsegmentation/pull/2554))
 
 ## Installation
 

diff --git a/README_zh-CN.md b/README_zh-CN.md
@@ -61,7 +61,7 @@ MMSegmentation 是一个基于 PyTorch 的语义分割开源工具箱。它是 O
 
 ## 更新日志
 
-最新版本 v1.0.0rc5 在 2023.02.01 发布。
+最新版本 v1.0.0rc6 在 2023.03.03 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/en/notes/changelog.md)。
 
 ## 安装

diff --git a/docker/serve/Dockerfile b/docker/serve/Dockerfile
@@ -4,7 +4,7 @@ ARG CUDNN="8"
 FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel
 
 ARG MMCV="2.0.0rc4"
-ARG MMSEG="1.0.0rc5"
+ARG MMSEG="1.0.0rc6"
 
 ENV PYTHONUNBUFFERED TRUE
 

diff --git a/docs/en/notes/changelog.md b/docs/en/notes/changelog.md
@@ -1,5 +1,40 @@
 # Changelog of v1.x
 
+## v1.0.0rc6(03/03/2023)
+
+### Highlights
+
+- Support MMSegInferencer ([#2413](https://github.com/open-mmlab/mmsegmentation/pull/2413), [#2658](https://github.com/open-mmlab/mmsegmentation/pull/2658))
+- Support REFUGE dataset ([#2554](https://github.com/open-mmlab/mmsegmentation/pull/2554))
+
+### Features
+
+- Support auto import modules from registry ([#2481](https://github.com/open-mmlab/mmsegmentation/pull/2481))
+- Replace numpy ascontiguousarray with torch contiguous to speed-up ([#2604](https://github.com/open-mmlab/mmsegmentation/pull/2604))
+- Add browse_dataset.py tool ([#2649](https://github.com/open-mmlab/mmsegmentation/pull/2649))
+
+### Bug fix
+
+- Rename and Fix bug of projects HieraSeg ([#2565](https://github.com/open-mmlab/mmsegmentation/pull/2565))
+- Add out_channels  in `CascadeEncoderDecoder` and update OCRNet and MobileNet v2 results ([#2656](https://github.com/open-mmlab/mmsegmentation/pull/2656))
+
+### Documentation
+
+- Add dataflow documentation of Chinese version ([#2652](https://github.com/open-mmlab/mmsegmentation/pull/2652))
+- Add custmized runtime documentation of English version ([#2533](https://github.com/open-mmlab/mmsegmentation/pull/2533))
+- Add documentation for visualizing feature map using wandb backend ([#2557](https://github.com/open-mmlab/mmsegmentation/pull/2557))
+- Add documentation for benchmark results on NPU (HUAWEI Ascend) ([#2569](https://github.com/open-mmlab/mmsegmentation/pull/2569), [#2596](https://github.com/open-mmlab/mmsegmentation/pull/2596), [#2610](https://github.com/open-mmlab/mmsegmentation/pull/2610))
+- Fix api name error in the migration doc ([#2601](https://github.com/open-mmlab/mmsegmentation/pull/2601))
+- Refine projects documentation ([#2586](https://github.com/open-mmlab/mmsegmentation/pull/2586))
+- Refine MMSegmentation documentation ([#2668](https://github.com/open-mmlab/mmsegmentation/pull/2668), [#2659](https://github.com/open-mmlab/mmsegmentation/pull/2659))
+
+### New Contributors
+
+- @zccjjj made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/2548
+- @liuruiqiang made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/2554
+- @wangjiangben-hw made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/2569
+- @jinxianwei made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/2557
+
 ## v1.0.0rc5(02/01/2023)
 
 ### Bug fix

diff --git a/docs/en/notes/faq.md b/docs/en/notes/faq.md
@@ -8,9 +8,10 @@ The compatible MMSegmentation, MMCV and MMEngine versions are as below. Please i
 
 | MMSegmentation version |          MMCV version          | MMEngine version  | MMClassification (optional) version | MMDetection (optional) version |
 | :--------------------: | :----------------------------: | :---------------: | :---------------------------------: | :----------------------------: |
-|     dev-1.x branch     |        mmcv >= 2.0.0rc4        | MMEngine >= 0.2.0 |           mmcls>=1.0.0rc0           |         mmdet>3.0.0rc5         |
-|       1.x branch       |        mmcv >= 2.0.0rc4        | MMEngine >= 0.2.0 |           mmcls>=1.0.0rc0           |         mmdet>3.0.0rc5         |
-|        1.0.0rc5        |        mmcv >= 2.0.0rc4        | MMEngine >= 0.2.0 |           mmcls>=1.0.0rc0           |         mmdet>3.0.0rc5         |
+|     dev-1.x branch     |        mmcv >= 2.0.0rc4        | MMEngine >= 0.5.0 |           mmcls>=1.0.0rc0           |       mmdet >= 3.0.0rc6        |
+|       1.x branch       |        mmcv >= 2.0.0rc4        | MMEngine >= 0.5.0 |           mmcls>=1.0.0rc0           |       mmdet >= 3.0.0rc6        |
+|        1.0.0rc6        |        mmcv >= 2.0.0rc4        | MMEngine >= 0.5.0 |           mmcls>=1.0.0rc0           |       mmdet >= 3.0.0rc6        |
+|        1.0.0rc5        |        mmcv >= 2.0.0rc4        | MMEngine >= 0.2.0 |           mmcls>=1.0.0rc0           |        mmdet>=3.0.0rc6         |
 |        1.0.0rc4        |        mmcv == 2.0.0rc3        | MMEngine >= 0.1.0 |           mmcls>=1.0.0rc0           |  mmdet>=3.0.0rc4, \<=3.0.0rc5  |
 |        1.0.0rc3        |        mmcv == 2.0.0rc3        | MMEngine >= 0.1.0 |           mmcls>=1.0.0rc0           |  mmdet>=3.0.0rc4  \<=3.0.0rc5  |
 |        1.0.0rc2        |        mmcv == 2.0.0rc3        | MMEngine >= 0.1.0 |           mmcls>=1.0.0rc0           |  mmdet>=3.0.0rc4  \<=3.0.0rc5  |

diff --git a/mmseg/version.py b/mmseg/version.py
@@ -1,6 +1,6 @@
 # Copyright (c) Open-MMLab. All rights reserved.
 
-__version__ = '1.0.0rc5'
+__version__ = '1.0.0rc6'
 
 
 def parse_version_info(version_str):