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62 lines
2.1 KiB
Markdown
62 lines
2.1 KiB
Markdown
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---
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typora-copy-images-to: images
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comments: true
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---
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# DRRG
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## 1. Introduction
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Paper:
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> [Deep Relational Reasoning Graph Network for Arbitrary Shape Text Detection](https://arxiv.org/abs/2003.07493)
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> Zhang, Shi-Xue and Zhu, Xiaobin and Hou, Jie-Bo and Liu, Chang and Yang, Chun and Wang, Hongfa and Yin, Xu-Cheng
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> CVPR, 2020
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On the CTW1500 dataset, the text detection result is as follows:
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|Model|Backbone|Configuration|Precision|Recall|Hmean|Download|
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| --- | --- | --- | --- | --- | --- | --- |
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| DRRG | ResNet50_vd | [configs/det/det_r50_drrg_ctw.yml](../../configs/det/det_r50_drrg_ctw.yml)| 89.92%|80.91%|85.18%|[trained model](https://paddleocr.bj.bcebos.com/contribution/det_r50_drrg_ctw_train.tar)|
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## 2. Environment
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Please prepare your environment referring to [prepare the environment](../../ppocr/environment.en.md) and [clone the repo](../../ppocr/blog/clone.en.md).
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## 3. Model Training / Evaluation / Prediction
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The above DRRG model is trained using the CTW1500 text detection public dataset. For the download of the dataset, please refer to [ocr_datasets](./dataset/ocr_datasets_en.md).
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After the data download is complete, please refer to [Text Detection Training Tutorial](../../ppocr/model_train/detection.en.md) for training. PaddleOCR has modularized the code structure, so that you only need to **replace the configuration file** to train different detection models.
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## 4. Inference and Deployment
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### 4.1 Python Inference
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Since the model needs to be converted to Numpy data for many times in the forward, DRRG dynamic graph to static graph is not supported.
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### 4.2 C++ Inference
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Not supported
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### 4.3 Serving
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Not supported
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### 4.4 More
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Not supported
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## 5. FAQ
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## Citation
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```bibtex
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@inproceedings{zhang2020deep,
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title={Deep relational reasoning graph network for arbitrary shape text detection},
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author={Zhang, Shi-Xue and Zhu, Xiaobin and Hou, Jie-Bo and Liu, Chang and Yang, Chun and Wang, Hongfa and Yin, Xu-Cheng},
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booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
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pages={9699--9708},
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year={2020}
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}
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```
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