v0.2
版本发布时间: 2020-07-09 05:48:55
facebookresearch/detectron2最新发布版本:v0.6(2021-11-16 06:08:26)
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 1.5 | torch 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
|
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