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 |