Bump version to v2.15.0 (#5752)

* bump version to v2.15.0

* clean empty line
pull/5781/head
Wenwei Zhang 4 years ago committed by GitHub
parent 0956621ccb
commit ea852e0532
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  1. 2
      README.md
  2. 2
      README_zh-CN.md
  3. 2
      docker/serve/Dockerfile
  4. 57
      docs/changelog.md
  5. 1
      docs/get_started.md
  6. 2
      mmdet/version.py

@ -49,7 +49,7 @@ This project is released under the [Apache 2.0 license](LICENSE).
## Changelog
v2.14.0 was released in 29/06/2021.
v2.15.0 was released in 02/08/2021.
Please refer to [changelog.md](docs/changelog.md) for details and release history.
A comparison between v1.x and v2.0 codebases can be found in [compatibility.md](docs/compatibility.md).

@ -44,7 +44,7 @@ v1.x 的历史版本支持 PyTorch 1.1 到 1.4,但是我们强烈建议用户
## 更新日志
最新的月度版本 v2.14.0 在 2021.06.29 发布。
最新的月度版本 v2.15.0 在 2021.08.02 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/changelog.md)。
在[兼容性说明文档](docs_zh-CN/compatibility.md)中我们提供了 1.x 和 2.0 版本的详细比较。

@ -4,7 +4,7 @@ ARG CUDNN="7"
FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel
ARG MMCV="1.3.8"
ARG MMDET="2.14.0"
ARG MMDET="2.15.0"
ENV PYTHONUNBUFFERED TRUE

@ -1,5 +1,62 @@
## Changelog
### v2.15.0 (02/8/2021)
#### Highlights
- Support adding [MIM](https://github.com/open-mmlab/mim) dependencies during pip installation
- Support MobileNetV2 for SSD-Lite and YOLOv3
- Support Chinese Documentation
#### New Features
- Add function `upsample_like` (#5732)
- Support to output pdf and epub format documentation (#5738)
- Support and release Cascade Mask R-CNN 3x pre-trained models (#5645)
- Add `ignore_index` to CrossEntropyLoss (#5646)
- Support adding [MIM](https://github.com/open-mmlab/mim) dependencies during pip installation (#5676)
- Add MobileNetV2 config and models for YOLOv3 (#5510)
- Support COCO Panoptic Dataset (#5231)
- Support ONNX export of cascade models (#5486)
- Support DropBlock with RetinaNet (#5544)
- Support MobileNetV2 SSD-Lite (#5526)
#### Bug Fixes
- Fix the device of label in multiclass_nms (#5673)
- Fix error of backbone initialization from pre-trained checkpoint in config file (#5603, #5550)
- Fix download links of RegNet pretrained weights (#5655)
- Fix two-stage runtime error given empty proposal (#5559)
- Fix flops count error in DETR (#5654)
- Fix unittest for `NumClassCheckHook` when it is not used. (#5626)
- Fix description bug of using custom dataset (#5546)
- Fix bug of `multiclass_nms` that returns the global indices (#5592)
- Fix `valid_mask` logic error in RPNHead (#5562)
- Fix unit test error of pretrained configs (#5561)
- Fix typo error in anchor_head.py (#5555)
- Fix bug when using dataset wrappers (#5552)
- Fix a typo error in demo/MMDet_Tutorial.ipynb (#5511)
- Fixing crash in `get_root_logger` when `cfg.log_level` is not None (#5521)
- Fix docker version (#5502)
- Fix optimizer parameter error when using `IterBasedRunner` (#5490)
#### Improvements
- Add unit tests for MMTracking (#5620)
- Add Chinese translation of documentation (#5718, #5618, #5558, #5423, #5593, #5421, #5408. #5369, #5419, #5530, #5531)
- Update resource limit (#5697)
- Update docstring for InstaBoost (#5640)
- Support key `reduction_override` in all loss functions (#5515)
- Use repeatdataset to accelerate CenterNet training (#5509)
- Remove unnecessary code in autoassign (#5519)
- Add documentation about `init_cfg` (#5273)
#### Contributors
A total of 18 developers contributed to this release.
Thanks @OceanPang, @AronLin, @hellock, @Outsider565, @RangiLyu, @ElectronicElephant, @likyoo, @BIGWangYuDong, @hhaAndroid, @noobying, @yyz561, @likyoo,
@zeakey, @ZwwWayne, @ChenyangLiu, @johnson-magic, @qingswu, @BuxianChen
### v2.14.0 (29/6/2021)
#### Highlights

@ -12,6 +12,7 @@ Compatible MMDetection and MMCV versions are shown as below. Please install the
| MMDetection version | MMCV version |
|:-------------------:|:-------------------:|
| master | mmcv-full>=1.3.8, <1.4.0 |
| 2.15.0 | mmcv-full>=1.3.8, <1.4.0 |
| 2.14.0 | mmcv-full>=1.3.8, <1.4.0 |
| 2.13.0 | mmcv-full>=1.3.3, <1.4.0 |
| 2.12.0 | mmcv-full>=1.3.3, <1.4.0 |

@ -1,6 +1,6 @@
# Copyright (c) Open-MMLab. All rights reserved.
__version__ = '2.14.0'
__version__ = '2.15.0'
short_version = __version__

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