v0.3
Features & Improvements:
- Support constructing RetinaNet, data loader, optimizer, COCOEvaluator without configs, in addition to Mask R-CNN.
- Add DeepLab & PanopticDeepLab in
projects/
. - Support importing 3 projects (
point_rend
,deeplab
,panoptic_deeplab
) directly withimport detectron2.projects.xxx
. - Support mixed precision in training (using
cfg.SOLVER.AMP.ENABLED
) and inference. - Support ADE20k semantic segmentation dataset (named
ade20k_sem_seg_train
,ade20k_sem_seg_val
). - Continuous build on Windows.
Pre-built Linux binaries are provided for the following environment:
CUDA | torch 1.7 | torch 1.6 | torch 1.5 |
---|---|---|---|
11.0 | install
| ||
10.2 | install
| install
| install
|
10.1 | install
| install
| install
|
9.2 | install
| install
| install
|
cpu | install
| install
| install
|