Skip to content

Commit abf5a89

Browse files
gaotongxiaogaotongxiao
authored
Bump version to 1.0.0rc3 (#1510)
* Bump version to 1.0.0rc3 * update changelog * fix
1 parent cf454ca commit abf5a89

File tree

6 files changed

+47
-10
lines changed

6 files changed

+47
-10
lines changed

‎README.md

Lines changed: 2 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -81,6 +81,8 @@ The main branch works with **PyTorch 1.6+**.
8181

8282
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/).
8383

84+
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).
85+
8486
Read [Changelog](https://mmocr.readthedocs.io/en/dev-1.x/notes/changelog.html) for more details!
8587

8688
## Installation

‎README_zh-CN.md

Lines changed: 2 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -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
8282

8383
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/)。
8484

85+
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。
86+
8587
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。
8688

8789
## 安装

‎docs/en/get_started/install.md

Lines changed: 4 additions & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -191,7 +191,7 @@ docker run --gpus all --shm-size=8g -it -v {DATA_DIR}:/mmocr/data mmocr
191191

192192
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.
193193

194-
| MMOCR | MMEngine | MMCV | MMDetection |
195-
| ------------- | --------------------------- | -------------------------- | --------------------------- |
196-
| dev-1.x | 0.1.0 \<= mmengine \< 1.0.0 | 2.0.0rc1 \<= mmcv \< 2.1.0 | 3.0.0rc0 \<= mmdet \< 3.1.0 |
197-
| 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 |
194+
| MMOCR | MMEngine | MMCV | MMDetection |
195+
| -------------- | --------------------------- | -------------------------- | --------------------------- |
196+
| dev-1.x | 0.1.0 \<= mmengine \< 1.0.0 | 2.0.0rc1 \<= mmcv \< 2.1.0 | 3.0.0rc0 \<= mmdet \< 3.1.0 |
197+
| 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

Lines changed: 34 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -1,5 +1,38 @@
11
# Changelog of v1.x
22

3+
## v1.0.0rc3 (03/11/2022)
4+
5+
### Highlights
6+
7+
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.
8+
9+
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.
10+
11+
### New Features & Enhancements
12+
13+
- Add Dataset Preparer by @xinke-wang in https://github.com/open-mmlab/mmocr/pull/1484
14+
15+
* support modified resnet structure used in oCLIP by @HannibalAPE in https://github.com/open-mmlab/mmocr/pull/1458
16+
* Add oCLIP configs by @gaotongxiao in https://github.com/open-mmlab/mmocr/pull/1509
17+
18+
### Docs
19+
20+
- Update install.md by @rogachevai in https://github.com/open-mmlab/mmocr/pull/1494
21+
- Refine some docs by @gaotongxiao in https://github.com/open-mmlab/mmocr/pull/1455
22+
- Update some dataset preparer related docs by @xinke-wang in https://github.com/open-mmlab/mmocr/pull/1502
23+
- oclip readme by @Harold-lkk in https://github.com/open-mmlab/mmocr/pull/1505
24+
25+
### Bug Fixes
26+
27+
- Fix offline_eval error caused by new data flow by @gaotongxiao in https://github.com/open-mmlab/mmocr/pull/1500
28+
29+
### New Contributors
30+
31+
- @rogachevai made their first contribution in https://github.com/open-mmlab/mmocr/pull/1494
32+
- @HannibalAPE made their first contribution in https://github.com/open-mmlab/mmocr/pull/1458
33+
34+
**Full Changelog**: https://github.com/open-mmlab/mmocr/compare/v1.0.0rc2...v1.0.0rc3
35+
336
## v1.0.0rc2 (14/10/2022)
437

538
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
5184
- Upgrade pre commit hooks by @Harold-lkk in https://github.com/open-mmlab/mmocr/pull/1429
5285
- Skip invalid augmented polygons in ImgAugWrapper by @gaotongxiao in https://github.com/open-mmlab/mmocr/pull/1434
5386

54-
## New Contributors
87+
### New Contributors
5588

5689
- @vansin made their first contribution in https://github.com/open-mmlab/mmocr/pull/1414
5790

‎docs/zh_cn/get_started/install.md

Lines changed: 4 additions & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -192,7 +192,7 @@ docker run --gpus all --shm-size=8g -it -v {实际数据目录}:/mmocr/data mmoc
192192

193193
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。
194194

195-
| MMOCR | MMEngine | MMCV | MMDetection |
196-
| ------------- | --------------------------- | -------------------------- | --------------------------- |
197-
| dev-1.x | 0.1.0 \<= mmengine \< 1.0.0 | 2.0.0rc1 \<= mmcv \< 2.1.0 | 3.0.0rc0 \<= mmdet \< 3.1.0 |
198-
| 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 |
195+
| MMOCR | MMEngine | MMCV | MMDetection |
196+
| -------------- | --------------------------- | -------------------------- | --------------------------- |
197+
| dev-1.x | 0.1.0 \<= mmengine \< 1.0.0 | 2.0.0rc1 \<= mmcv \< 2.1.0 | 3.0.0rc0 \<= mmdet \< 3.1.0 |
198+
| 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

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -1,4 +1,4 @@
11
# Copyright (c) Open-MMLab. All rights reserved.
22

3-
__version__ = '1.0.0rc2'
3+
__version__ = '1.0.0rc3'
44
short_version = __version__

0 commit comments

Comments
 (0)