Highlights

1. Two new models, ABCNet v2 (inference only) and SPTS are added to projects/ folder.
2. Announcing Inferencer, a unified inference interface in OpenMMLab for everyone's easy access and quick inference with all the pre-trained weights. Docs
3. Users can use test-time augmentation for text recognition tasks. Docs
4. Support batch augmentation through BatchAugSampler, which is a technique used in SPTS.
5. Dataset Preparer has been refactored to allow more flexible configurations. Besides, users are now able to prepare text recognition datasets in LMDB formats. Docs
6. Some textspotting datasets have been revised to enhance the correctness and consistency with the common practice.
7. Potential spurious warnings from shapely have been eliminated.

Dependency

This version requires MMEngine >= 0.6.0, MMCV >= 2.0.0rc4 and MMDet >= 3.0.0rc5.

New Features & Enhancements

• Discard deprecated lmdb dataset format and only support img+label now by @gaotongxiao in https://github.com/open-mmlab/mmocr/pull/1681
• abcnetv2 inference by @Harold-lkk in https://github.com/open-mmlab/mmocr/pull/1657
• Add RepeatAugSampler by @gaotongxiao in https://github.com/open-mmlab/mmocr/pull/1678
• SPTS by @gaotongxiao in https://github.com/open-mmlab/mmocr/pull/1696
• Refactor Inferencers by @gaotongxiao in https://github.com/open-mmlab/mmocr/pull/1608
• Dynamic return type for rescale_polygons by @gaotongxiao in https://github.com/open-mmlab/mmocr/pull/1702
• Revise upstream version limit by @gaotongxiao in https://github.com/open-mmlab/mmocr/pull/1703
• TextRecogCropConverter add crop with opencv warpPersepective function by @KevinNuNu in https://github.com/open-mmlab/mmocr/pull/1667
• change cudnn benchmark to false by @Harold-lkk in https://github.com/open-mmlab/mmocr/pull/1705
• Add ST-pretrained DB-series models and logs by @gaotongxiao in https://github.com/open-mmlab/mmocr/pull/1635
• Only keep meta and state_dict when publish model by @Harold-lkk in https://github.com/open-mmlab/mmocr/pull/1729
• Rec TTA by @Harold-lkk in https://github.com/open-mmlab/mmocr/pull/1401
• Speedup formatting by replacing np.transpose with torch… by @gaotongxiao in https://github.com/open-mmlab/mmocr/pull/1719
• Support auto import modules from registry. by @Harold-lkk in https://github.com/open-mmlab/mmocr/pull/1731
• Support batch visualization & dumping in Inferencer by @gaotongxiao in https://github.com/open-mmlab/mmocr/pull/1722
• add a new argument font_properties to set a specific font file in order to draw Chinese characters properly by @KevinNuNu in https://github.com/open-mmlab/mmocr/pull/1709
• Refactor data converter and gather by @Harold-lkk in https://github.com/open-mmlab/mmocr/pull/1707
• Support batch augmentation through BatchAugSampler by @gaotongxiao in https://github.com/open-mmlab/mmocr/pull/1757
• Put all registry into registry.py by @Harold-lkk in https://github.com/open-mmlab/mmocr/pull/1760
• train by @gaotongxiao in https://github.com/open-mmlab/mmocr/pull/1756
• configs for regression benchmark by @gaotongxiao in https://github.com/open-mmlab/mmocr/pull/1755
• Support lmdb format in Dataset Preparer by @gaotongxiao in https://github.com/open-mmlab/mmocr/pull/1762

Docs

• update the link of DBNet by @AllentDan in https://github.com/open-mmlab/mmocr/pull/1672
• Add notice for default branch switching by @gaotongxiao in https://github.com/open-mmlab/mmocr/pull/1693
• docs: Add twitter discord medium youtube link by @vansin in https://github.com/open-mmlab/mmocr/pull/1724
• Remove unsupported datasets in docs by @gaotongxiao in https://github.com/open-mmlab/mmocr/pull/1670

Bug Fixes

• Update dockerfile by @gaotongxiao in https://github.com/open-mmlab/mmocr/pull/1671
• Explicitly create np object array for compatibility by @gaotongxiao in https://github.com/open-mmlab/mmocr/pull/1691
• Fix a minor error in docstring by @Mountchicken in https://github.com/open-mmlab/mmocr/pull/1685
• Fix lint by @triple-Mu in https://github.com/open-mmlab/mmocr/pull/1694
• Fix LoadOCRAnnotation ut by @Harold-lkk in https://github.com/open-mmlab/mmocr/pull/1695
• Fix isort pre-commit error by @KevinNuNu in https://github.com/open-mmlab/mmocr/pull/1697
• Update owners by @xinke-wang in https://github.com/open-mmlab/mmocr/pull/1699
• Detect intersection before using shapley.intersection to eliminate spurious warnings by @gaotongxiao in https://github.com/open-mmlab/mmocr/pull/1710
• Fix some inferencer bugs by @gaotongxiao in https://github.com/open-mmlab/mmocr/pull/1706
• Fix textocr ignore flag by @xinke-wang in https://github.com/open-mmlab/mmocr/pull/1712
• Add missing softmax in ASTER forward_test by @Mountchicken in https://github.com/open-mmlab/mmocr/pull/1718
• Fix head in readme by @vansin in https://github.com/open-mmlab/mmocr/pull/1727
• Fix some browse dataset script bugs and draw textdet gt instance with ignore flags by @KevinNuNu in https://github.com/open-mmlab/mmocr/pull/1701
• icdar textrecog ann parser skip data with ignore flag by @KevinNuNu in https://github.com/open-mmlab/mmocr/pull/1708
• bezier_to_polygon -> bezier2polygon by @double22a in https://github.com/open-mmlab/mmocr/pull/1739
• Fix docs recog CharMetric P/R error definition by @KevinNuNu in https://github.com/open-mmlab/mmocr/pull/1740
• Remove outdated resources in demo/ by @gaotongxiao in https://github.com/open-mmlab/mmocr/pull/1747
• Fix wrong ic13 textspotting split data; add lexicons to ic13, ic15 and totaltext by @gaotongxiao in https://github.com/open-mmlab/mmocr/pull/1758
• SPTS readme by @gaotongxiao in https://github.com/open-mmlab/mmocr/pull/1761

New Contributors

• @triple-Mu made their first contribution in https://github.com/open-mmlab/mmocr/pull/1694
• @double22a made their first contribution in https://github.com/open-mmlab/mmocr/pull/1739

Full Changelog: https://github.com/open-mmlab/mmocr/compare/v1.0.0rc5...v1.0.0rc6