New
v0.2
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
TransformGentoAugmentationand keepTransformGenas an alias. Design the interface ofAugmentationso that it can access arbitrary custom data types. See augmentation tutorial for details. - Improve speed of
COCOEvaluatorby about 3x - Support LVIS v1 dataset
- Support GIoU loss in RPN and R-CNN
- Support auto-scaling of batch size and learning rate in . See