Highlights
- Support new methods: Cascade RPN, TridentNet
New Features
- Support Cascade RPN (#1900)
- Support TridentNet (#3313)
Bug Fixes
- Fix bug of show result in async_benchmark (#4367)
- Fix scale factor in MaskTestMixin (#4366)
- Fix but when returning indices in
multiclass_nms(#4362) - Fix bug of empirical attention in resnext backbone error (#4300)
- Fix bug of
img_norm_cfgin FCOS-HRNet models with updated performance and models (#4250) - Fix invalid checkpoint and log in Mask R-CNN models on Cityscapes dataset (#4287)
- Fix bug in distributed sampler when dataset is too small (#4257)
- Fix bug of 'PAFPN has no attribute extra_convs_on_inputs' (#4235)
Improvements
- Update model url from aws to aliyun (#4349)
- Update ATSS for PyTorch 1.6+ (#4359)
- Update script to install ruby in pre-commit installation (#4360)
- Delete deprecated
mmdet.ops(#4325) - Refactor hungarian assigner for more general usage in Sparse R-CNN (#4259)
- Handle scipy import in DETR to reduce package dependencies (#4339)
- Update documentation of usages for config options after MMCV (1.2.3) supports overriding list in config (#4326)
- Update pre-train models of faster rcnn trained on COCO subsets (#4307)
- Avoid zero or too small value for beta in Dynamic R-CNN (#4303)
- Add doccumentation for Pytorch2ONNX (#4271)
- Add deprecated warning FPN arguments (#4264)
- Support returning indices of kept bboxes when using nms (#4251)
- Update type and device requirements when creating tensors
GFLHead(#4210) - Update device requirements when creating tensors in
CrossEntropyLoss(#4224)
New Contributors
- @ggjy made their first contribution in #4224
- @ace7chan made their first contribution in #4210
- @luuuyi made their first contribution in #4235
- @AlekseySh made their first contribution in #4265
- @filaPro made their first contribution in #4282
- @SiriusKY made their first contribution in #4283
Full Changelog: v2.7.0...v2.8.0