Highlights

• Support adding MIM dependencies during pip installation
• Support MobileNetV2 for SSD-Lite and YOLOv3
• Support Chinese Documentation

New Features

• Add function upsample_like (#5732)
• Support to output pdf and epub format documentation (#5738)
• Support and release Cascade Mask R-CNN 3x pre-trained models (#5645)
• Add ignore_index to CrossEntropyLoss (#5646)
• Support adding MIM dependencies during pip installation (#5676)
• Add MobileNetV2 config and models for YOLOv3 (#5510)
• Support COCO Panoptic Dataset (#5231)
• Support ONNX export of cascade models (#5486)
• Support DropBlock with RetinaNet (#5544)
• Support MobileNetV2 SSD-Lite (#5526)

Bug Fixes

• Fix the device of label in multiclass_nms (#5673)
• Fix error of backbone initialization from pre-trained checkpoint in config file (#5603, #5550)
• Fix download links of RegNet pretrained weights (#5655)
• Fix two-stage runtime error given empty proposal (#5559)
• Fix flops count error in DETR (#5654)
• Fix unittest for NumClassCheckHook when it is not used. (#5626)
• Fix description bug of using custom dataset (#5546)
• Fix bug of multiclass_nms that returns the global indices (#5592)
• Fix valid_mask logic error in RPNHead (#5562)
• Fix unit test error of pretrained configs (#5561)
• Fix typo error in anchor_head.py (#5555)
• Fix bug when using dataset wrappers (#5552)
• Fix a typo error in demo/MMDet_Tutorial.ipynb (#5511)
• Fixing crash in get_root_logger when cfg.log_level is not None (#5521)
• Fix docker version (#5502)
• Fix optimizer parameter error when using IterBasedRunner (#5490)

Improvements

• Add unit tests for MMTracking (#5620)
• Add Chinese translation of documentation (#5718, #5618, #5558, #5423, #5593, #5421, #5408. #5369, #5419, #5530, #5531)
• Update resource limit (#5697)
• Update docstring for InstaBoost (#5640)
• Support key reduction_override in all loss functions (#5515)
• Use repeatdataset to accelerate CenterNet training (#5509)
• Remove unnecessary code in autoassign (#5519)
• Add documentation about init_cfg (#5273)

Contributors

A total of 18 developers contributed to this release. Thanks @OceanPang, @AronLin, @hellock, @Outsider565, @RangiLyu, @ElectronicElephant, @likyoo, @BIGWangYuDong, @hhaAndroid, @noobying, @yyz561, @likyoo, @zeakey, @ZwwWayne, @ChenyangLiu, @johnson-magic, @qingswu, @BuxianChen

New Contributors

• @BuxianChen made their first contribution in https://github.com/open-mmlab/mmdetection/pull/5511
• @qingswu made their first contribution in https://github.com/open-mmlab/mmdetection/pull/5521
• @ChenyangLiu made their first contribution in https://github.com/open-mmlab/mmdetection/pull/5555
• @zeakey made their first contribution in https://github.com/open-mmlab/mmdetection/pull/5592
• @yyz561 made their first contribution in https://github.com/open-mmlab/mmdetection/pull/5546
• @yingkaining made their first contribution in https://github.com/open-mmlab/mmdetection/pull/5618
• @likyoo made their first contribution in https://github.com/open-mmlab/mmdetection/pull/5640
• @Outsider565 made their first contribution in https://github.com/open-mmlab/mmdetection/pull/5718

Full Changelog: https://github.com/open-mmlab/mmdetection/compare/v2.14.0...v2.15.0