Bump version to v2.16.0 (#5971)

* try to install cuda

* use 1804

* bump version

.github/workflows/build.yml

@@ -72,7 +72,7 @@ jobs:
           coverage report -m
 
   build_cuda:
-    runs-on: ubuntu-latest
+    runs-on: ubuntu-18.04
 
     env:
       CUDA: 10.1.105-1
@@ -127,8 +127,11 @@ jobs:
           sudo dpkg -i ${INSTALLER}
           wget https://developer.download.nvidia.com/compute/cuda/repos/${UBUNTU_VERSION}/x86_64/7fa2af80.pub
           sudo apt-key add 7fa2af80.pub
+          echo 'succeed before add key'
           sudo apt update -qq
+          echo 'succeed after update'
           sudo apt install -y cuda-${CUDA_SHORT/./-} cuda-cufft-dev-${CUDA_SHORT/./-}
+          echo 'succeed after install cuda and cufft'
           sudo apt clean
           export CUDA_HOME=/usr/local/cuda-${CUDA_SHORT}
           export LD_LIBRARY_PATH=${CUDA_HOME}/lib64:${CUDA_HOME}/include:${LD_LIBRARY_PATH}

README.md

@@ -49,7 +49,7 @@ This project is released under the [Apache 2.0 license](LICENSE).
 
 ## Changelog
 
-v2.15.1 was released in 11/08/2021, which supports YOLOX.
+v2.16.0 was released in 30/08/2021.
 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).
 

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 v2.15.1 在 2021.08.11 发布，新版本支持了 YOLOX。
+最新的月度版本 v2.16.0 在 2021.08.11 发布，新版本支持了 YOLOX。
 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。
 

docker/serve/Dockerfile

@@ -4,7 +4,7 @@ ARG CUDNN="7"
 FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel
 
 ARG MMCV="1.3.8"
-ARG MMDET="2.15.1"
+ARG MMDET="2.16.0"
 
 ENV PYTHONUNBUFFERED TRUE
 

docs/changelog.md

@@ -1,5 +1,52 @@
 ## Changelog
 
+### v2.16.0 (30/8/2021)
+
+#### Highlights
+
+- Support [Panoptic FPN](https://arxiv.org/abs/1901.02446) and [Swin Transformer](https://arxiv.org/abs/2103.14030)
+
+#### New Features
+
+- Support [Panoptic FPN](https://arxiv.org/abs/1901.02446) and release models (#5577, #5902)
+- Support Swin Transformer backbone (#5748)
+- Release RetinaNet models pre-trained with multi-scale 3x schedule (#5636)
+- Add script to convert unlabeled image list to coco format (#5643)
+- Add hook to check whether the loss value is valid (#5674)
+- Add YOLO anchor optimizing tool (#5644)
+- Support export onnx models without post process. (#5851)
+- Support classwise evaluation in CocoPanopticDataset (#5896)
+- Adapt browse_dataset for concatenated datasets. (#5935)
+- Add `PatchEmbed` and `PatchMerging` with `AdaptivePadding` (#5952)
+
+#### Bug Fixes
+
+- Fix unit tests of YOLOX (#5859)
+- Fix lose randomness in `imshow_det_bboxes` (#5845)
+- Make output result of `ImageToTensor` contiguous (#5756)
+- Fix inference bug when calling `regress_by_class` in RoIHead in some cases (#5884)
+- Fix bug in CIoU loss where alpha should not have gradient. (#5835)
+- Fix the bug that `multiscale_output` is defined but not used in HRNet (#5887)
+- Set the priority of EvalHook to LOW. (#5882)
+- Fix a YOLOX bug when applying bbox rescaling in test mode (#5899)
+- Fix mosaic coordinate error (#5947)
+- Fix dtype of bbox in RandomAffine. (#5930)
+
+#### Improvements
+
+- Add Chinese version of `data_pipeline` and  (#5662)
+- Support to remove state dicts of EMA when publishing models. (#5858)
+- Refactor the loss function in HTC and SCNet (#5881)
+- Use warnings instead of logger.warning (#5540)
+- Use legacy coordinate in metric of VOC (#5627)
+- Add Chinese version of customize_losses (#5826)
+- Add Chinese version of model_zoo (#5827)
+
+#### Contributors
+
+A total of 19 developers contributed to this release.
+Thanks @ypwhs, @zywvvd, @collinzrj, @OceanPang, @ddonatien, @@haotian-liu, @viibridges, @Muyun99, @guigarfr, @zhaojinjian0000, @jbwang1997,@wangbo-zhao, @xvjiarui, @RangiLyu, @jshilong, @AronLin, @BIGWangYuDong, @hhaAndroid, @ZwwWayne
+
 ### v2.15.1 (11/8/2021)
 
 #### Highlights

docs/get_started.md

@@ -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 |
+| 2.16.0              | mmcv-full>=1.3.8, <1.4.0 |
 | 2.15.1              | 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 |

mmdet/version.py

@@ -1,6 +1,6 @@
 # Copyright (c) OpenMMLab. All rights reserved.
 
-__version__ = '2.15.1'
+__version__ = '2.16.0'
 short_version = __version__