Bump version to v2.13.0 (#5262)

* update changelog

* update changelog

* Improvements

* Improvements

* update for v2.13.0

Co-authored-by: hhaAndroid <[email protected]>

Author: jshilong

README.md

@@ -44,7 +44,7 @@ This project is released under the [Apache 2.0 license](LICENSE).
 
 ## Changelog
 
-v2.12.0 was released in 01/05/2021.
+v2.13.0 was released in 01/06/2021.
 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).
 

README_zh-CN.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 v2.12.0 在 2021.05.01 发布。
+最新的月度版本 v2.13.0 在 2021.06.01 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/compatibility.md)中我们提供了 1.x 和 2.0 版本的详细比较。
 

docker/serve/Dockerfile

@@ -4,7 +4,7 @@ ARG CUDNN="7"
 FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel
 
 ARG MMCV="1.2.7"
-ARG MMDET="2.12.0"
+ARG MMDET="2.13.0"
 
 ENV PYTHONUNBUFFERED TRUE
 

docs/changelog.md

@@ -1,5 +1,43 @@
 ## Changelog
 
+### v2.13.0 (01/6/2021)
+
+#### Highlights
+
+- Support new methods: [CenterNet](https://arxiv.org/abs/1904.07850), [Seesaw Loss](https://arxiv.org/abs/2008.10032), [MobileNetV2](https://arxiv.org/abs/1801.04381)
+
+#### New Features
+
+- Support paper [Objects as Points](https://arxiv.org/abs/1904.07850) (#4602)
+- Support paper [Seesaw Loss for Long-Tailed Instance Segmentation (CVPR 2021)](https://arxiv.org/abs/2008.10032) (#5128)
+- Support [MobileNetV2](https://arxiv.org/abs/1801.04381) backbone and inverted residual block (#5122)
+- Support [MIM](https://github.com/open-mmlab/mim) (#5143)
+- ONNX exportation with dynamic shapes of CornerNet (#5136)
+- Add `mask_soft` config option to allow non-binary masks (#4615)
+- Add PWC metafile (#5135)
+
+#### Bug Fixes
+
+- Fix YOLOv3 FP16 training error (#5172)
+- Fix Cacscade R-CNN TTA test error when `det_bboxes` length is 0  (#5221)
+- Fix `iou_thr` variable naming errors in VOC recall calculation function (#5195)
+- Fix Faster R-CNN performance dropped in ONNX Runtime (#5197)
+- Fix DETR dict changed error when using python 3.8 during iteration  (#5226)
+
+#### Improvements
+
+- Refactor ONNX export of two stage detector (#5205)
+- Replace MMDetection's EvalHook with MMCV's EvalHook for consistency  (#4806)
+- Update RoI extractor for ONNX (#5194)
+- Use better parameter initialization in YOLOv3 head for higher performance (#5181)
+- Release new DCN models of Mask R-CNN by mixed-precision training (#5201)
+- Update YOLOv3 model weights (#5229)
+- Add DetectoRS ResNet-101 model weights (#4960)
+- Discard bboxes with sizes equals to `min_bbox_size` (#5011)
+- Remove duplicated code in DETR head (#5129)
+- Remove unnecessary object in class definition (#5180)
+- Fix doc link (#5192)
+
 ### v2.12.0 (01/5/2021)
 
 #### Highlights

docs/get_started.md

@@ -12,6 +12,7 @@ The compatible MMDetection and MMCV versions are as below. Please install the co
 | MMDetection version |    MMCV version     |
 |:-------------------:|:-------------------:|
 | master              | mmcv-full>=1.3.3, <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 |
 | 2.11.0              | mmcv-full>=1.2.4, <1.4.0 |
 | 2.10.0              | mmcv-full>=1.2.4, <1.4.0 |

mmdet/version.py

@@ -1,6 +1,6 @@
 # Copyright (c) Open-MMLab. All rights reserved.
 
-__version__ = '2.12.0'
+__version__ = '2.13.0'
 short_version = __version__