DocumentAIKit/doc/doc_en/algorithm_det_east_en.md

EAST

• 1. Introduction
• 2. Environment
• 3. Model Training / Evaluation / Prediction
  • 3.1 Training
  • 3.2 Evaluation
  • 3.3 Prediction
• 4. Inference and Deployment
  • 4.1 Python Inference
  • 4.2 C++ Inference
  • 4.3 Serving
  • 4.4 More
• 5. FAQ

1. Introduction

Paper:

EAST: An Efficient and Accurate Scene Text Detector Xinyu Zhou, Cong Yao, He Wen, Yuzhi Wang, Shuchang Zhou, Weiran He, Jiajun Liang CVPR, 2017

On the ICDAR2015 dataset, the text detection result is as follows:

Model	Backbone	Configuration	Precision	Recall	Hmean	Download
EAST	ResNet50_vd	det_r50_vd_east.yml	88.71%	81.36%	84.88%	model
EAST	MobileNetV3	det_mv3_east.yml	78.20%	79.10%	78.65%	model

2. Environment

Please prepare your environment referring to prepare the environment and clone the repo.

3. Model Training / Evaluation / Prediction

The above EAST model is trained using the ICDAR2015 text detection public dataset. For the download of the dataset, please refer to ocr_datasets.

After the data download is complete, please refer to Text Detection Training Tutorial for training. PaddleOCR has modularized the code structure, so that you only need to replace the configuration file to train different detection models.

4. Inference and Deployment

4.1 Python Inference

First, convert the model saved in the EAST text detection training process into an inference model. Taking the model based on the Resnet50_vd backbone network and trained on the ICDAR2015 English dataset as example (model download link), you can use the following command to convert:

python3 tools/export_model.py -c configs/det/det_r50_vd_east.yml -o Global.pretrained_model=./det_r50_vd_east_v2.0_train/best_accuracy  Global.save_inference_dir=./inference/det_r50_east/

For EAST text detection model inference, you need to set the parameter --det_algorithm="EAST", run the following command:

python3 tools/infer/predict_det.py --image_dir="./doc/imgs_en/img_10.jpg" --det_model_dir="./inference/det_r50_east/" --det_algorithm="EAST"

The visualized text detection results are saved to the ./inference_results folder by default, and the name of the result file is prefixed with 'det_res'.

4.2 C++ Inference

Since the post-processing is not written in CPP, the EAST text detection model does not support CPP inference.

4.3 Serving

Not supported

4.4 More

Not supported

5. FAQ

Citation

@inproceedings{zhou2017east,
  title={East: an efficient and accurate scene text detector},
  author={Zhou, Xinyu and Yao, Cong and Wen, He and Wang, Yuzhi and Zhou, Shuchang and He, Weiran and Liang, Jiajun},
  booktitle={Proceedings of the IEEE conference on Computer Vision and Pattern Recognition},
  pages={5551--5560},
  year={2017}
}