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MMSegmentation v0.24.0 Release

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@MeowZheng MeowZheng released this 29 Apr 14:26
c4c0c1f

What's Changed

Highlights

  • Support MAE: Masked Autoencoders Are Scalable Vision Learners
  • Support Resnet strikes back

New Features

  • Support MAE: Masked Autoencoders Are Scalable Vision Learners (1307, 1523)
  • Support Resnet strikes back (1390)
  • Support extra dataloader settings in configs (1435)

Bug Fixes

  • Fix input previous results for the last cascade_decode_head (#1450)
  • Fix validation loss logging (#1494)
  • Fix the bug in binary_cross_entropy (1527)
  • Support single channel prediction for Binary Cross Entropy Loss (#1454)
  • Fix potential bugs in accuracy.py (1496)
  • Avoid converting label ids twice by label map during evaluation (1417)
  • Fix bug about label_map (1445)
  • Fix image save path bug in Windows (1423)
  • Fix MMSegmentation Colab demo (1501, 1452)
  • Migrate azure blob for beit checkpoints (1503)
  • Fix bug in tools/analyse_logs.py caused by wrong plot_iter in some cases (1428)

Improvements

  • Merge BEiT and ConvNext's LR decay optimizer constructors (#1438)
  • Register optimizer constructor with mmseg (#1456)
  • Refactor transformer encode layer in ViT and BEiT backbone (#1481)
  • Add build_pos_embed and build_layers for BEiT (1517)
  • Add with_cp to mit and vit (1431)
  • Fix inconsistent dtype of seg_label in stdc decode (1463)
  • Delete random seed for training in dist_train.sh (1519)
  • Revise high workers_per_gpus in config file (#1506)
  • Add GPG keys and del mmcv version in Dockerfile (1534)
  • Update checkpoint for model in deeplabv3plus (#1487)
  • Add DistSamplerSeedHook to set epoch number to dataloader when runner is EpochBasedRunner (1449)
  • Provide URLs of Swin Transformer pretrained models (1389)
  • Updating Dockerfiles From Docker Directory and get_started.md to reach latest stable version of Python, PyTorch and MMCV (1446)

Documentation

  • Add more clearly statement of CPU training/inference (1518)

New Contributors

Full Changelog: v0.23.0...v0.24.0