mirror of https://github.com/open-mmlab/mmocr.git
* [Refactor] Use MMOCR's registry 1. Define MMOCR's registries as a child of MMDet's 2. Register all models to MMOCR's own registries 3. Modify some model configs so that some models in MMDet can be correctly located 4. Remove some outdated demo scripts * add detectors |
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README.md | ||
metafile.yml | ||
textsnake_r50_fpn_unet_1200e_ctw1500.py |
README.md
Textsnake
Introduction
[ALGORITHM]
@article{long2018textsnake,
title={TextSnake: A Flexible Representation for Detecting Text of Arbitrary Shapes},
author={Long, Shangbang and Ruan, Jiaqiang and Zhang, Wenjie and He, Xin and Wu, Wenhao and Yao, Cong},
booktitle={ECCV},
pages={20-36},
year={2018}
}
Results and models
CTW1500
Method | Pretrained Model | Training set | Test set | #epochs | Test size | Recall | Precision | Hmean | Download |
---|---|---|---|---|---|---|---|---|---|
TextSnake | ImageNet | CTW1500 Train | CTW1500 Test | 1200 | 736 | 0.795 | 0.840 | 0.817 | model | log |