Bump to version 0.6 (#119)

* Bump to version 0.6

* fixed format

docs/changelog.md

 ## Changelog
 
+
+### V0.6 (10/09/2020)
+**Highlights**
+- Support new methods i.e. MobileNetV2, EMANet, DNL, PointRend, Semantic FPN, Fast-SCNN,
+ResNeSt.
+
+**Bug Fixes**
+- Fixed sliding inference ONNX export ([#90](https://github.com/open-mmlab/mmsegmentation/pull/90))
+
+**New Features**
+- Support MobileNet v2 ([#86](https://github.com/open-mmlab/mmsegmentation/pull/86))
+- Support EMANet ([#34](https://github.com/open-mmlab/mmsegmentation/pull/34))
+- Support DNL ([#37](https://github.com/open-mmlab/mmsegmentation/pull/37))
+- Support PointRend ([#109](https://github.com/open-mmlab/mmsegmentation/pull/109))
+- Support Semantic FPN ([#94](https://github.com/open-mmlab/mmsegmentation/pull/94))
+- Support Fast-SCNN ([#58](https://github.com/open-mmlab/mmsegmentation/pull/58))
+- Support ResNeSt backbone ([#47](https://github.com/open-mmlab/mmsegmentation/pull/47))
+- Support ONNX export (experimental) ([#12](https://github.com/open-mmlab/mmsegmentation/pull/12))
+
+**Improvements**
+- Support Upsample in ONNX ([#100](https://github.com/open-mmlab/mmsegmentation/pull/100))
+- Support Windows install (experimental) ([#75](https://github.com/open-mmlab/mmsegmentation/pull/75))
+- Add more OCRNet results ([#20](https://github.com/open-mmlab/mmsegmentation/pull/20))
+- Add PyTorch 1.6 CI ([#64](https://github.com/open-mmlab/mmsegmentation/pull/64))
+- Get version and githash automatically ([#55](https://github.com/open-mmlab/mmsegmentation/pull/55))
+
 ### v0.5.1 (11/08/2020)
 **Highlights**
 - Support FP16 and more generalized OHEM

mmseg/version.py

 # Copyright (c) Open-MMLab. All rights reserved.
 
-__version__ = '0.5.1'
+__version__ = '0.6.0'
 
 
 def parse_version_info(version_str):