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v0.2

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@ppwwyyxx ppwwyyxx released this 08 Jul 21:48

Features & Improvements:

  • Support constructing objects with either configs or explicit arguments. As an example, the entire Mask R-CNN can be built without using configs
  • Rename TransformGen to Augmentation and keep TransformGen as an alias. Design the interface of Augmentation so that it can access arbitrary custom data types. See augmentation tutorial for details.
  • Improve speed of COCOEvaluator by about 3x
  • Support LVIS v1 dataset
  • Support GIoU loss in RPN and R-CNN
  • Support auto-scaling of batch size and learning rate in DefaultTrainer. See cfg.SOLVER.REFERENCE_WORLD_SIZE

Pre-built Linux binaries are provided for the following environment:

CUDA torch 1.5torch 1.4
10.2
install
python -m pip install detectron2==0.2 -f \
  https://dl.fbaipublicfiles.com/detectron2/wheels/cu102/torch1.5/index.html
10.1
install
python -m pip install detectron2==0.2 -f \
  https://dl.fbaipublicfiles.com/detectron2/wheels/cu101/torch1.5/index.html
install
python -m pip install detectron2==0.2 -f \
  https://dl.fbaipublicfiles.com/detectron2/wheels/cu101/torch1.4/index.html
10.0
install
python -m pip install detectron2==0.2 -f \
  https://dl.fbaipublicfiles.com/detectron2/wheels/cu100/torch1.4/index.html
9.2
install
python -m pip install detectron2==0.2 -f \
  https://dl.fbaipublicfiles.com/detectron2/wheels/cu92/torch1.5/index.html
install
python -m pip install detectron2==0.2 -f \
  https://dl.fbaipublicfiles.com/detectron2/wheels/cu92/torch1.4/index.html
cpu
install
python -m pip install detectron2==0.2 -f \
  https://dl.fbaipublicfiles.com/detectron2/wheels/cpu/torch1.5/index.html
install
python -m pip install detectron2==0.2 -f \
  https://dl.fbaipublicfiles.com/detectron2/wheels/cpu/torch1.4/index.html