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bumpv1.1.2 (open-mmlab#3339)
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xiexinch authored Sep 20, 2023
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9 changes: 5 additions & 4 deletions README.md
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Expand Up @@ -89,12 +89,11 @@ MMSegmentation v1.x brings remarkable improvements over the 0.x release, offerin

## What's New

v1.1.1 was released on 07/24/2023.
v1.1.2 was released on 09/20/2023.
Please refer to [changelog.md](docs/en/notes/changelog.md) for details and release history.

- Support 24 medical image datasets in [projects](./projects/medical/).
- Add GDAL backend and support remote sensing datasets [LEVIR-CD](https://github.com/open-mmlab/mmsegmentation/pull/2903).
- Support [DDRNet](https://github.com/open-mmlab/mmsegmentation/pull/2855).
- Support monocular depth estimation task, please refer to [VPD](configs/vpd/README.md) for more details.
- Add new projects: [CAT-Seg](projects/CAT-Seg/README.md), [PP-MobileSeg](projects/pp_mobileseg/README.md), [AdaBins](projects/Adabins/README.md)

## Installation

Expand Down Expand Up @@ -230,6 +229,7 @@ Results and models are available in the [model zoo](docs/en/model_zoo.md).
- [x] [Mask2Former (CVPR'2022)](configs/mask2former)
- [x] [PIDNet (ArXiv'2022)](configs/pidnet)
- [x] [DDRNet (T-ITS'2022)](configs/ddrnet)
- [x] [VPD (ICCV'2023)](configs/vpd)

</details>

Expand All @@ -255,6 +255,7 @@ Results and models are available in the [model zoo](docs/en/model_zoo.md).
- [x] [Mapillary Vistas](https://github.com/open-mmlab/mmsegmentation/blob/main/docs/en/user_guides/2_dataset_prepare.md#mapillary-vistas-datasets)
- [x] [LEVIR-CD](https://github.com/open-mmlab/mmsegmentation/blob/main/docs/en/user_guides/2_dataset_prepare.md#levir-cd)
- [x] [BDD100K](https://github.com/open-mmlab/mmsegmentation/blob/main/docs/en/user_guides/2_dataset_prepare.md#bdd100K)
- [x] [NYU](https://github.com/open-mmlab/mmsegmentation/blob/main/docs/en/user_guides/2_dataset_prepare.md#nyu)

</details>

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4 changes: 3 additions & 1 deletion README_zh-CN.md
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Expand Up @@ -88,7 +88,7 @@ MMSegmentation v1.x 在 0.x 版本的基础上有了显著的提升,提供了

## 更新日志

最新版本 v1.1.1 在 2023.07.24 发布。
最新版本 v1.1.2 在 2023.09.20 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
Expand Down Expand Up @@ -224,6 +224,7 @@ MMSegmentation v1.x 在 0.x 版本的基础上有了显著的提升,提供了
- [x] [Mask2Former (CVPR'2022)](configs/mask2former)
- [x] [PIDNet (ArXiv'2022)](configs/pidnet)
- [x] [DDRNet (T-ITS'2022)](configs/ddrnet)
- [x] [VPD (ICCV'2023)](configs/vpd)

</details>

Expand All @@ -249,6 +250,7 @@ MMSegmentation v1.x 在 0.x 版本的基础上有了显著的提升,提供了
- [x] [Mapillary Vistas](https://github.com/open-mmlab/mmsegmentation/blob/main/docs/zh_cn/user_guides/2_dataset_prepare.md#mapillary-vistas-datasets)
- [x] [LEVIR-CD](https://github.com/open-mmlab/mmsegmentation/blob/main/docs/zh_cn/user_guides/2_dataset_prepare.md#levir-cd)
- [x] [BDD100K](https://github.com/open-mmlab/mmsegmentation/blob/main/docs/zh_cn/user_guides/2_dataset_prepare.md#bdd100K)
- [x] [NYU](https://github.com/open-mmlab/mmsegmentation/blob/main/docs/en/user_guides/2_dataset_prepare.md#nyu)

</details>

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2 changes: 1 addition & 1 deletion docker/serve/Dockerfile
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Expand Up @@ -4,7 +4,7 @@ ARG CUDNN="8"
FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel

ARG MMCV="2.0.1"
ARG MMSEG="1.1.1"
ARG MMSEG="1.1.2"

ENV PYTHONUNBUFFERED TRUE

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44 changes: 44 additions & 0 deletions docs/en/notes/changelog.md
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# Changelog of v1.x

## v1.1.2(09/20/2023)

### Features

- Add semantic label to the segmentation visualization results ([#3229](https://github.com/open-mmlab/mmsegmentation/pull/3229))
- Support NYU depth estimation dataset ([#3269](https://github.com/open-mmlab/mmsegmentation/pull/3269))
- Support Kullback-Leibler divergence Loss ([#3242](https://github.com/open-mmlab/mmsegmentation/pull/3242))
- Support depth metrics ([#3297](https://github.com/open-mmlab/mmsegmentation/pull/3297))
- Support Remote sensing inferencer ([#3131](https://github.com/open-mmlab/mmsegmentation/pull/3131))
- Support VPD Depth Estimator ((#3321)(https://github.com/open-mmlab/mmsegmentation/pull/3321))
- Support inference and visualization of VPD ([#3331](https://github.com/open-mmlab/mmsegmentation/pull/3331))
- Support using the pytorch-grad-cam tool to visualize Class Activation Maps (CAM) ([#3324](https://github.com/open-mmlab/mmsegmentation/pull/3324))

### New projects

- Support PP-Mobileseg ([#3239](https://github.com/open-mmlab/mmsegmentation/pull/3239))
- Support CAT-Seg (CVPR'2023) ([#3098](https://github.com/open-mmlab/mmsegmentation/pull/3098))
- Support Adabins ([#3257](https://github.com/open-mmlab/mmsegmentation/pull/3257))
- Add pp_mobileseg onnx inference script ([#3268](https://github.com/open-mmlab/mmsegmentation/pull/3268))

### Bug Fixes

- Fix module PascalContextDataset ([#3235](https://github.com/open-mmlab/mmsegmentation/pull/3235))
- Fix one hot encoding for dice loss ([#3237](https://github.com/open-mmlab/mmsegmentation/pull/3237))
- Fix confusion_matrix.py ([#3291](https://github.com/open-mmlab/mmsegmentation/pull/3291))
- Fix inferencer visualization ([#3333](https://github.com/open-mmlab/mmsegmentation/pull/3333))

### Documentation

- Translate doc for docs/zh_cn/user_guides/5_deployment.md ([#3281](https://github.com/open-mmlab/mmsegmentation/pull/3281))

## New Contributors

- @angiecao made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/3235
- @yeedrag made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/3237
- @Yang-Changhui made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/3239
- @ooooo-create made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/3261
- @Ben-Louis made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/3269
- @crazysteeaam made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/3284
- @zen0no made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/3242
- @XiandongWang made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/3291
- @ZhaoQiiii made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/3332
- @zhen6618 made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/3324

## v1.1.1(07/24/2023)

### Features
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1 change: 1 addition & 0 deletions docs/en/notes/faq.md
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Expand Up @@ -10,6 +10,7 @@ The compatible MMSegmentation, MMCV and MMEngine versions are as below. Please i
| :--------------------: | :----------------------------: | :---------------: | :---------------------------------: | :----------------------------: |
| dev-1.x branch | mmcv >= 2.0.0 | MMEngine >= 0.7.4 | mmpretrain>=1.0.0rc7 | mmdet >= 3.0.0 |
| main branch | mmcv >= 2.0.0 | MMEngine >= 0.7.4 | mmpretrain>=1.0.0rc7 | mmdet >= 3.0.0 |
| 1.1.2 | mmcv >= 2.0.0 | MMEngine >= 0.7.4 | mmpretrain>=1.0.0rc7 | mmdet >= 3.0.0 |
| 1.1.1 | mmcv >= 2.0.0 | MMEngine >= 0.7.4 | mmpretrain>=1.0.0rc7 | mmdet >= 3.0.0 |
| 1.1.0 | mmcv >= 2.0.0 | MMEngine >= 0.7.4 | mmpretrain>=1.0.0rc7 | mmdet >= 3.0.0 |
| 1.0.0 | mmcv >= 2.0.0rc4 | MMEngine >= 0.7.1 | mmcls==1.0.0rc6 | mmdet >= 3.0.0 |
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1 change: 1 addition & 0 deletions docs/zh_cn/notes/faq.md
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Expand Up @@ -10,6 +10,7 @@
| :--------------------: | :----------------------------: | :---------------: | :---------------------------------: | :----------------------------: |
| dev-1.x branch | mmcv >= 2.0.0 | MMEngine >= 0.7.4 | mmpretrain>=1.0.0rc7 | mmdet >= 3.0.0 |
| main branch | mmcv >= 2.0.0 | MMEngine >= 0.7.4 | mmpretrain>=1.0.0rc7 | mmdet >= 3.0.0 |
| 1.1.2 | mmcv >= 2.0.0 | MMEngine >= 0.7.4 | mmpretrain>=1.0.0rc7 | mmdet >= 3.0.0 |
| 1.1.1 | mmcv >= 2.0.0 | MMEngine >= 0.7.4 | mmpretrain>=1.0.0rc7 | mmdet >= 3.0.0 |
| 1.1.0 | mmcv >= 2.0.0 | MMEngine >= 0.7.4 | mmpretrain>=1.0.0rc7 | mmdet >= 3.0.0 |
| 1.0.0 | mmcv >= 2.0.0rc4 | MMEngine >= 0.7.1 | mmcls==1.0.0rc6 | mmdet >= 3.0.0 |
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2 changes: 1 addition & 1 deletion mmseg/version.py
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# Copyright (c) Open-MMLab. All rights reserved.

__version__ = '1.1.1'
__version__ = '1.1.2'


def parse_version_info(version_str):
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