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Initialize changelog.md for v0.5.0 and v0.6.0 (#118)
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## Changelog | ||
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### v0.6.0 (2/9/2020) | ||
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**Highlights** | ||
- Support TIN, CSN, SSN, NonLocal | ||
- Support FP16 training | ||
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**New Features** | ||
- Support NonLocal module and provide ckpt in TSM and I3D ([#41](https://github.com/open-mmlab/mmaction2/pull/41)) | ||
- Support SSN ([#33](https://github.com/open-mmlab/mmaction2/pull/33), [#37](https://github.com/open-mmlab/mmaction2/pull/37), [#52](https://github.com/open-mmlab/mmaction2/pull/52), [#55](https://github.com/open-mmlab/mmaction2/pull/55)) | ||
- Support CSN ([#87](https://github.com/open-mmlab/mmaction2/pull/87)) | ||
- Support TIN ([#53](https://github.com/open-mmlab/mmaction2/pull/53)) | ||
- Support HMDB51 dataset preparation ([#60](https://github.com/open-mmlab/mmaction2/pull/60)) | ||
- Support encoding videos from frames ([#84](https://github.com/open-mmlab/mmaction2/pull/84)) | ||
- Support FP16 training ([#25](https://github.com/open-mmlab/mmaction2/pull/25)) | ||
- Enhance demo by supporting rawframe inference ([#59](https://github.com/open-mmlab/mmaction2/pull/59)), output video/gif ([#72](https://github.com/open-mmlab/mmaction2/pull/72)) | ||
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**ModelZoo** | ||
- Update Slowfast modelzoo ([#51](https://github.com/open-mmlab/mmaction2/pull/51)) | ||
- Update TSN, TSM video checkpoints ([#50](https://github.com/open-mmlab/mmaction2/pull/50)) | ||
- Add data benchmark for TSN ([#57](https://github.com/open-mmlab/mmaction2/pull/57)) | ||
- Add data benchmark for SlowOnly ([#77](https://github.com/open-mmlab/mmaction2/pull/77)) | ||
- Add BSN/BMN performance results with feature extracted by our codebase ([#99](https://github.com/open-mmlab/mmaction2/pull/99)) | ||
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**Improvements** | ||
- Polish data preparation codes ([#70](https://github.com/open-mmlab/mmaction2/pull/70)) | ||
- Improve data preparation scripts ([#58](https://github.com/open-mmlab/mmaction2/pull/58)) | ||
- Improve unittest coverage and minor fix ([#62](https://github.com/open-mmlab/mmaction2/pull/62)) | ||
- Support PyTorch 1.6 in CI ([#117](https://github.com/open-mmlab/mmaction2/pull/117)) | ||
- Support `with_offset` for rawframe dataset ([#48](https://github.com/open-mmlab/mmaction2/pull/48)) | ||
- Support json annotation files ([#119](https://github.com/open-mmlab/mmaction2/pull/119)) | ||
- Support `multi-class` in TSMHead ([#104](https://github.com/open-mmlab/mmaction2/pull/104)) | ||
- Support using `val_step()` to validate data for each `val` workflow ([#123](https://github.com/open-mmlab/mmaction2/pull/123)) | ||
- Use `xxInit()` method to get `total_frames` and make `total_frames` a required key ([#90](https://github.com/open-mmlab/mmaction2/pull/90)) | ||
- Add paper introduction in model readme ([#140](https://github.com/open-mmlab/mmaction2/pull/140)) | ||
- Adjust the directory structure of `tools/` and rename some scripts files ([#142](https://github.com/open-mmlab/mmaction2/pull/142)) | ||
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**Bug Fixes** | ||
- Fix configs for localization test ([#67](https://github.com/open-mmlab/mmaction2/pull/67)) | ||
- Fix configs of SlowOnly by fixing lr to 8 gpus ([#136](https://github.com/open-mmlab/mmaction2/pull/136)) | ||
- Fix the bug in analyze_log ([#54](https://github.com/open-mmlab/mmaction2/pull/54)) | ||
- Fix the bug of generating HMDB51 class index file ([#69](https://github.com/open-mmlab/mmaction2/pull/69)) | ||
- Fix the bug of using `load_checkpoint()` in ResNet ([#93](https://github.com/open-mmlab/mmaction2/pull/93)) | ||
- Fix the bug of `--work-dir` when using slurm training script ([#110](https://github.com/open-mmlab/mmaction2/pull/110)) | ||
- Correct the sthv1/sthv2 rawframes filelist generate command ([#71](https://github.com/open-mmlab/mmaction2/pull/71)) | ||
- `CosineAnnealing` typo ([#47](https://github.com/open-mmlab/mmaction2/pull/47)) | ||
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### v0.5.0 (9/7/2020) | ||
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**Highlights** | ||
- MMAction2 is released | ||
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**New Features** | ||
- Support various datasets: UCF101, Kinetics-400, Something-Something V1&V2, Moments in Time, | ||
Multi-Moments in Time, THUMOS14 | ||
- Support various action recognition methods: TSN, TSM, R(2+1)D, I3D, SlowOnly, SlowFast, Non-local | ||
- Support various action localization methods: BSN, BMN | ||
- Colab demo for action recognition |