v0.5
- Add “LazyConfig” system, an alternative python-based config system with more flexible syntax and no predefined structures.
- Add improved Mask R-CNN baselines to model zoo using large scale jittering and longer training. See blog and configs.
- Add backbone wrapper and detector wrapper for models in mmdetection. This allows training and evaluation of these models in detectron2. See an example config that trains a mmdet’s Mask R-CNN
- Code release for Implicit PointRend & PointSup.
- Code release for Rethinking Batch in BatchNorm.
- Add support for RegNet backbones. Example.
- Integration of fvcore’s tracing-based advanced flop counter.
- New features in DensePose CSE: see its release notes for more details.
Pre-built Linux binaries are available for the following environment:
CUDA | torch 1.9 | torch 1.8 | torch 1.7 |
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11.1 | install
| install
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11.0 | install
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10.2 | install
| install
| install
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10.1 | install
| install
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9.2 | install
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cpu | install
| install
| install
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