Iteration Plan of v2.19.0 - November 2021

[RangiLyu]

Iteration Plan of v2.19.0 - November 2021

MMDetection v2.18.0 has been released here.
We list our plan for v2.19.0, which will be released on November 27th.
The PRs from the communities will also be listed here.
Thus, developers could comprehensively know the plan and the progress.

Algorithms:

• Release YOLOX pretrained models Refactor YOLOX #6443
• Release QueryInst pretrained models Update the link of checkpoints for QueryInst #6460
• [Feature] Support Label Assignment Distillation (LAD) #6342

Features:

• [ONNX export] Support for image normalization in model graph. #5982
• [WIP] Support load OpenImage #5693
• [Feature]: Support plot confusion matrix. #6344
• [Feature] Support custom persistent_workers #6435

Fixes:

• [Fix] fix config path in docs #6396
• Fix aug test error when the number of prediction bboxes is 0 #6398
• [BugFixed] fix wrong trunc_normal_init use #6432
• [Fix] Fix SpatialReductionAttention in PVT. #6488
• Catch symlink failure on Windows #6482
• [Fix] Avoid infinite GPU waiting in dist training #6501
• fix jpg->png #6490

Enhancements:

• [Enchance] Set a random seed when the user does not set a seed. #6457
• [Enhance] Add 'get_ann_info' to dataset_wrappers. #6352
• Always map location to cpu when load checkpoint #6405
• [Enhance]: Optimize augmentation pipeline to speed up training. #6442
• Make OHEM work with seesaw loss #6514

Docs:

• [Docs] Chinese version of robustness_benchmarking.md #6375
• configs: update groie README #6401
• Include mmflow in readme #6545

Community help wanted:

• Dataset download scripts. (是否考虑增加脚本 #4932)
• CrowdDet implementation. (https://github.com/Purkialo/CrowdDet)

If you have created a PR and wish it to be merged in this version, feel free to leave a message in this issue. We will update our plan accordingly here.