Bump version to 1.0.0rc3 (#1510)

* Bump version to 1.0.0rc3

* update changelog

* fix

README.md

@@ -81,6 +81,8 @@ The main branch works with **PyTorch 1.6+**.
 
 5. **More documentation and tutorials**. We add a bunch of documentation and tutorials to help users get started more smoothly. Read it [here](https://mmocr.readthedocs.io/en/dev-1.x/).
 
+6. **One-stop Dataset Preparaion**. Multiple datasets are instantly ready with only one line of command, via our [Dataset Preparer](https://mmocr.readthedocs.io/en/dev-1.x/user_guides/data_prepare/dataset_preparer.html).
+
 Read [Changelog](https://mmocr.readthedocs.io/en/dev-1.x/notes/changelog.html) for more details!
 
 ## Installation

README_zh-CN.md

@@ -82,6 +82,8 @@ MMOCR 的模块化设计使用户可以定义自己的优化器，数据预处
 
 5. 更多的文档和教程：我们增加了更多的教程，降低用户的学习门槛。详见[教程](https://mmocr.readthedocs.io/zh_CN/dev-1.x/)。
 
+6. 一站式数据准备：准备数据集已经不再是难事。使用我们的 [Dataset Preparer](https://mmocr.readthedocs.io/zh_CN/dev-1.x/user_guides/data_prepare/dataset_preparer.html)，一行命令即可让多个数据集准备就绪。
+
 阅读[更新日志](https://mmocr.readthedocs.io/zh_CN/dev-1.x/notes/changelog.html)以获取更多信息。
 
 ## 安装

docs/en/get_started/install.md

@@ -191,7 +191,7 @@ docker run --gpus all --shm-size=8g -it -v {DATA_DIR}:/mmocr/data mmocr
 
 MMOCR has different version requirements on MMEngine, MMCV and MMDetection at each release to guarantee the implementation correctness. Please refer to the table below and ensure the package versions fit the requirement.
 
-| MMOCR         | MMEngine                    | MMCV                       | MMDetection                 |
-| ------------- | --------------------------- | -------------------------- | --------------------------- |
-| dev-1.x       | 0.1.0 \<= mmengine \< 1.0.0 | 2.0.0rc1 \<= mmcv \< 2.1.0 | 3.0.0rc0 \<= mmdet \< 3.1.0 |
-| 1.0.0rc0, rc1 | 0.0.0 \<= mmengine \< 0.2.0 | 2.0.0rc1 \<= mmcv \< 2.1.0 | 3.0.0rc0 \<= mmdet \< 3.1.0 |
+| MMOCR          | MMEngine                    | MMCV                       | MMDetection                 |
+| -------------- | --------------------------- | -------------------------- | --------------------------- |
+| dev-1.x        | 0.1.0 \<= mmengine \< 1.0.0 | 2.0.0rc1 \<= mmcv \< 2.1.0 | 3.0.0rc0 \<= mmdet \< 3.1.0 |
+| 1.0.0rc\[0-3\] | 0.0.0 \<= mmengine \< 0.2.0 | 2.0.0rc1 \<= mmcv \< 2.1.0 | 3.0.0rc0 \<= mmdet \< 3.1.0 |

docs/en/notes/changelog.md

@@ -1,5 +1,38 @@
 # Changelog of v1.x
 
+## v1.0.0rc3 (03/11/2022)
+
+### Highlights
+
+1. We release several pretrained models using [oCLIP-ResNet](https://github.com/open-mmlab/mmocr/blob/1.x/configs/backbone/oclip/README.md) as the backbone, which is a ResNet variant trained with [oCLIP](https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136880282.pdf) and can significantly boost the performance of text detection models.
+
+2. Preparing datasets is troublesome and tedious, especially in OCR domain where multiple datasets are usually required. In order to free our users from laborious work, we designed a [Dataset Preparer](https://mmocr.readthedocs.io/en/dev-1.x/user_guides/data_prepare/dataset_preparer.html) to help you get a bunch of datasets ready for use, with only **one line of command**!  Dataset Preparer is also crafted to consist of a series of reusable modules, each responsible for handling one of the standardized phases throughout the preparation process, shortening the development cycle on supporting new datasets.
+
+### New Features & Enhancements
+
+- Add Dataset Preparer by @xinke-wang in https://github.com/open-mmlab/mmocr/pull/1484
+
+* support modified resnet structure used in oCLIP by @HannibalAPE in https://github.com/open-mmlab/mmocr/pull/1458
+* Add oCLIP configs by @gaotongxiao in https://github.com/open-mmlab/mmocr/pull/1509
+
+### Docs
+
+- Update install.md by @rogachevai in https://github.com/open-mmlab/mmocr/pull/1494
+- Refine some docs by @gaotongxiao in https://github.com/open-mmlab/mmocr/pull/1455
+- Update some dataset preparer related docs by @xinke-wang in https://github.com/open-mmlab/mmocr/pull/1502
+- oclip readme by @Harold-lkk in https://github.com/open-mmlab/mmocr/pull/1505
+
+### Bug Fixes
+
+- Fix offline_eval error caused by new data flow by @gaotongxiao in https://github.com/open-mmlab/mmocr/pull/1500
+
+### New Contributors
+
+- @rogachevai made their first contribution in https://github.com/open-mmlab/mmocr/pull/1494
+- @HannibalAPE made their first contribution in https://github.com/open-mmlab/mmocr/pull/1458
+
+**Full Changelog**: https://github.com/open-mmlab/mmocr/compare/v1.0.0rc2...v1.0.0rc3
+
 ## v1.0.0rc2 (14/10/2022)
 
 This release relaxes the version requirement of `MMEngine` to `>=0.1.0, < 1.0.0`.
@@ -51,7 +84,7 @@ We release the weights for all the text recognition models in MMOCR 1.0 architec
 - Upgrade pre commit hooks by @Harold-lkk in https://github.com/open-mmlab/mmocr/pull/1429
 - Skip invalid augmented polygons in ImgAugWrapper by @gaotongxiao in https://github.com/open-mmlab/mmocr/pull/1434
 
-## New Contributors
+### New Contributors
 
 - @vansin made their first contribution in https://github.com/open-mmlab/mmocr/pull/1414
 

docs/zh_cn/get_started/install.md

@@ -192,7 +192,7 @@ docker run --gpus all --shm-size=8g -it -v {实际数据目录}:/mmocr/data mmoc
 
 为了确保代码实现的正确性，MMOCR 每个版本都有可能改变对 MMEngine、MMCV 和 MMDetection 版本的依赖。请根据以下表格确保版本之间的相互匹配。
 
-| MMOCR         | MMEngine                    | MMCV                       | MMDetection                 |
-| ------------- | --------------------------- | -------------------------- | --------------------------- |
-| dev-1.x       | 0.1.0 \<= mmengine \< 1.0.0 | 2.0.0rc1 \<= mmcv \< 2.1.0 | 3.0.0rc0 \<= mmdet \< 3.1.0 |
-| 1.0.0rc0, rc1 | 0.0.0 \<= mmengine \< 0.2.0 | 2.0.0rc1 \<= mmcv \< 2.1.0 | 3.0.0rc0 \<= mmdet \< 3.1.0 |
+| MMOCR          | MMEngine                    | MMCV                       | MMDetection                 |
+| -------------- | --------------------------- | -------------------------- | --------------------------- |
+| dev-1.x        | 0.1.0 \<= mmengine \< 1.0.0 | 2.0.0rc1 \<= mmcv \< 2.1.0 | 3.0.0rc0 \<= mmdet \< 3.1.0 |
+| 1.0.0rc\[0-3\] | 0.0.0 \<= mmengine \< 0.2.0 | 2.0.0rc1 \<= mmcv \< 2.1.0 | 3.0.0rc0 \<= mmdet \< 3.1.0 |

mmocr/version.py

@@ -1,4 +1,4 @@
 # Copyright (c) Open-MMLab. All rights reserved.
 
-__version__ = '1.0.0rc2'
+__version__ = '1.0.0rc3'
 short_version = __version__