open-mmlab/mmdetection v2.6.0

MMDetection V2.6.0 Release

on GitHub

Highlights

• Support new method: VarifocalNet.
• Refactored documentation with more tutorials.

New Features

• Support GIoU calculation in BboxOverlaps2D, and re-implement giou_loss using bbox_overlaps (#3936)
• Support random sampling in CPU mode (#3948)
• Support VarifocalNet (#3666, #4024)

Bug Fixes

• Fix SABL validating bug in Cascade R-CNN (#3913)
• Avoid division by zero in PAA head when num_pos=0 (#3938)
• Fix temporary directory bug of multi-node testing error (#4034, #4017)
• Fix --show-dir option in test script (#4025)
• Fix GA-RetinaNet r50 model url (#3983)
• Update code in docs and fix broken urls (#3947)

Improvements

• Refactor pytorch2onnx API into mmdet.core.export and use generate_inputs_and_wrap_model for pytorch2onnx (#3857, #3912)
• Update RPN upgrade scripts for v2.5.0 compatibility (#3986)
• Use mmcv tensor2imgs (#4010)
• Update test robustness (#4000)
• Update trouble shooting page (#3994)
• Accelerate PAA training speed (#3985)
• Support batch_size > 1 in validation (#3966)
• Use RoIAlign implemented in MMCV for inference in CPU mode (#3930)
• Documentation refactoring (#4031)

New Contributors

• @wangruohui made their first contribution in #3937
• @hubutui made their first contribution in #3947
• @hyz-xmaster made their first contribution in #3666
• @AemikaChow made their first contribution in #4031

Full Changelog: v2.5.0...v2.6.0