diff --git a/README.md b/README.md index c48f8616532e22bc44d42fcfe1acd2c03b1ab62c..852fb6f2aea6f971401a082daa07b0f899d1476b 100644 --- a/README.md +++ b/README.md @@ -42,7 +42,7 @@ This project is released under the [Apache 2.0 license](LICENSE). ## Changelog -v2.3.0 was released in 5/8/2020. +v2.4.0 was released in 5/9/2020. 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). diff --git a/docs/changelog.md b/docs/changelog.md index c7bfb1880042782a3bd97f87da3252b34e81971a..4cc79f9bfaffe38ee66718738c81e331ff0a082a 100644 --- a/docs/changelog.md +++ b/docs/changelog.md @@ -1,5 +1,48 @@ ## Changelog +### v2.4.0 (5/9/2020) + +**Highlights** +- Refactor common issues and add trouble shooting (#3530) +- Support new methods [Yolact](https://arxiv.org/abs/1904.02689), [PAA Assign](https://arxiv.org/abs/2007.08103) +- Support Batch Inference + +**Bug Fixes** +- Fix default mean/std for onnx (#3491) +- Fix coco evaluation and add metric items (#3497) +- Fix typo for install.md (#3516) +- Fix atss when sampler per gpu is 1 (#3528) +- Fix import of fuse_conv_bn (#3529) +- Fix bug of gaussian_target, update unittest of heatmap (#3543) +- Fixed VOC2012 evaluate (#3553) +- Fix scale factor bug of rescale (#3566) +- Fix with_xxx_attributes in base detector (#3567) +- Fix boxes scaling when number is 0 (#3575) +- Fix rfp check when neck config is a list (#3591) +- Fix import of fuse conv bn in benchmark.py (#3606) +- Fix webcam demo (#3634) +- Fix typo and itemize issues in tutorial (#3658) + +**New Features** +- Support Cutout (#3521) +- Support evaluation on multiple datasets through ConcatDataset (#3522) +- Support [PAA assign](https://arxiv.org/abs/2007.08103) #(3547) +- Support eval metric with pickle results (#3607) +- Support [YOLACT](https://arxiv.org/abs/1904.02689) (#3456) +- Support Batch Inference (#3564) + +**Improvements** +- Refactor common issues in documentation (#3530) +- Add pytorch 1.6 to CI config (#3532) +- Add config to runner meta (#3534) +- Add eval-option flag for testing (#3537) +- Add init_eval to evaluation hook (#3550) +- Add include_bkg in ClassBalancedDataset (#3577) +- Using config's loading in inference_detector (#3611) +- Add atss 101 (#3639) +- Support custom imports (#3641) + + ### v2.3.0 (5/8/2020) **Highlights** diff --git a/docs/install.md b/docs/install.md index 8b7c06a4f7314d1c08bb02a354c6f1d641fa2af1..e339c0e47a283ca460b21c17151349c00d22a039 100644 --- a/docs/install.md +++ b/docs/install.md @@ -73,6 +73,7 @@ pip install mmcv-full | MMDetection version | MMCV version | |:-------------------:|:-------------------:| | master | mmcv-full>=1.0.5, <=1.1.1| +| 2.4.0 | mmcv-full>=1.0.5, <=1.1.1| | 2.3.0 | mmcv-full==1.0.5| | 2.3.0rc0 | mmcv-full>=1.0.2 | | 2.2.1 | mmcv==0.6.2 | diff --git a/mmdet/version.py b/mmdet/version.py index f52340915dd8329676d52d13d4fe21e24db82387..ce34ae35c9e66d80bcb15b134343ab5a4d517fa7 100644 --- a/mmdet/version.py +++ b/mmdet/version.py @@ -1,6 +1,6 @@ # Copyright (c) Open-MMLab. All rights reserved. -__version__ = '2.3.0' +__version__ = '2.4.0' short_version = __version__