From 28f52d9d3d1cd385adbad5a1858143771f79354c Mon Sep 17 00:00:00 2001 From: Jerry Jiarui XU Date: Sat, 10 Oct 2020 19:19:52 +0800 Subject: [PATCH] Bump to 0.7 (#177) * Bump to 0.7 * update --- README.md | 2 +- docs/changelog.md | 25 +++++++++++++++++++++++++ 2 files changed, 26 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 4595f8633..affcab7fa 100644 --- a/README.md +++ b/README.md @@ -46,7 +46,7 @@ This project is released under the [Apache 2.0 license](LICENSE). ## Changelog -v0.5.1 was released in 11/08/2020. +v0.7.0 was released in 07/10/2020. Please refer to [changelog.md](docs/changelog.md) for details and release history. ## Benchmark and model zoo diff --git a/docs/changelog.md b/docs/changelog.md index 8f8e056e6..5c86d6b1d 100644 --- a/docs/changelog.md +++ b/docs/changelog.md @@ -1,5 +1,30 @@ ## Changelog +### V0.7 (07/10/2020) + +**Highlights** + +- Support Pascal Context dataset and customizing class dataset. + +**Bug Fixes** + +- Fixed CPU inference ([#153](https://github.com/open-mmlab/mmsegmentation/pull/153)) + +**New Features** + +- Add DeepLab OS16 models ([#154](https://github.com/open-mmlab/mmsegmentation/pull/154)) +- Support Pascal Context dataset ([#133](https://github.com/open-mmlab/mmsegmentation/pull/133)) +- Support customizing dataset classes ([#71](https://github.com/open-mmlab/mmsegmentation/pull/71)) +- Support customizing dataset palette ([#157](https://github.com/open-mmlab/mmsegmentation/pull/157)) + +**Improvements** + +- Support 4D tensor output in ONNX ([#150](https://github.com/open-mmlab/mmsegmentation/pull/150)) +- Remove redundancies in ONNX export ([#160](https://github.com/open-mmlab/mmsegmentation/pull/160)) +- Migrate to MMCV DepthwiseSeparableConv ([#158](https://github.com/open-mmlab/mmsegmentation/pull/158)) +- Migrate to MMCV collect_env ([#137](https://github.com/open-mmlab/mmsegmentation/pull/137)) +- Use img_prefix and seg_prefix for loading ([#153](https://github.com/open-mmlab/mmsegmentation/pull/153)) + ### V0.6 (10/09/2020) **Highlights**