2020-08-11 19:23:35 +08:00
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## Changelog
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2020-09-10 20:57:18 +08:00
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### V0.6 (10/09/2020)
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**Highlights**
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- Support new methods i.e. MobileNetV2, EMANet, DNL, PointRend, Semantic FPN, Fast-SCNN,
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ResNeSt.
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**Bug Fixes**
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- Fixed sliding inference ONNX export ([#90](https://github.com/open-mmlab/mmsegmentation/pull/90))
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**New Features**
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- Support MobileNet v2 ([#86](https://github.com/open-mmlab/mmsegmentation/pull/86))
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- Support EMANet ([#34](https://github.com/open-mmlab/mmsegmentation/pull/34))
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- Support DNL ([#37](https://github.com/open-mmlab/mmsegmentation/pull/37))
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- Support PointRend ([#109](https://github.com/open-mmlab/mmsegmentation/pull/109))
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- Support Semantic FPN ([#94](https://github.com/open-mmlab/mmsegmentation/pull/94))
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- Support Fast-SCNN ([#58](https://github.com/open-mmlab/mmsegmentation/pull/58))
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- Support ResNeSt backbone ([#47](https://github.com/open-mmlab/mmsegmentation/pull/47))
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- Support ONNX export (experimental) ([#12](https://github.com/open-mmlab/mmsegmentation/pull/12))
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**Improvements**
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- Support Upsample in ONNX ([#100](https://github.com/open-mmlab/mmsegmentation/pull/100))
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- Support Windows install (experimental) ([#75](https://github.com/open-mmlab/mmsegmentation/pull/75))
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- Add more OCRNet results ([#20](https://github.com/open-mmlab/mmsegmentation/pull/20))
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- Add PyTorch 1.6 CI ([#64](https://github.com/open-mmlab/mmsegmentation/pull/64))
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- Get version and githash automatically ([#55](https://github.com/open-mmlab/mmsegmentation/pull/55))
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2020-08-11 19:23:35 +08:00
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### v0.5.1 (11/08/2020)
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**Highlights**
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- Support FP16 and more generalized OHEM
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**Bug Fixes**
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- Fixed Pascal VOC conversion script (#19)
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- Fixed OHEM weight assign bug (#54)
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- Fixed palette type when palette is not given (#27)
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**New Features**
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- Support FP16 (#21)
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- Generalized OHEM (#54)
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**Improvements**
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- Add load-from flag (#33)
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- Fixed training tricks doc about different learning rates of model (#26)
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