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* update coco ref * init_cfg for dbnet * initcfg for mask_rcnn * textsnake init_cfg * fix dbnet * panet initcfg * psenet initcfg * fcenet initcfg * drrg initcfg * add init_cfg to detectors * update maskrcnn config file to support mmdet * fix init_cfg of fce_head * crnn initcfg * init_weights in training * nrtr initcfg * robust_scanner initcfg * sar init_cfg * seg init_cfg * tps_crnn init_cfg * sdmgr initcfg * ner init_cfg * fix textsnake * sdmgr initcfg * move "pretrained" to "init_cfg" for config files * Moduleslist update * fix seg * ner init_cfg * fix base * fix encode decode recognizer * revert dbnet config * fix crnn * fix base.py * fix robust_scanner * fix panet * fix test * remove redundant init_weights() in fcehead * clean up * relex mmdet version in workflow * Add dependency version check * Update mmocr/models/textdet/dense_heads/pse_head.py Co-authored-by: Hongbin Sun <hongbin306@gmail.com> Co-authored-by: Hongbin Sun <hongbin306@gmail.com>
DRRG
Introduction
[ALGORITHM]
@article{zhang2020drrg,
title={Deep relational reasoning graph network for arbitrary shape text detection},
author={Zhang, Shi-Xue and Zhu, Xiaobin and Hou, Jie-Bo and Liu, Chang and Yang, Chun and Wang, Hongfa and Yin, Xu-Cheng},
booktitle={CVPR},
pages={9699-9708},
year={2020}
}
Results and models
CTW1500
Method | Pretrained Model | Training set | Test set | #epochs | Test size | Recall | Precision | Hmean | Download |
---|---|---|---|---|---|---|---|---|---|
DRRG | ImageNet | CTW1500 Train | CTW1500 Test | 1200 | 640 | 0.822 | 0.858 | 0.840 | model \ log |