CTPN + DenseNet + CTC based end-to-end Chinese OCR implemented using tensorflow and keras
APACHE-2.0 License
基于Tensorflow和Keras实现端到端的不定长中文字符检测和识别
sh setup.sh
将测试图片放入test_images目录,检测结果会保存到test_result中
python demo.py
详见ctpn/README.md
数据集:https://pan.baidu.com/s/1QkI7kjah8SPHwOQ40rS1Pw (密码:lu7m)
图片解压后放置到train/images目录下,描述文件放到train目录下
cd train
python train.py
val acc | predict | model |
---|---|---|
0.983 | 8ms | 18.9MB |
可参考SynthText_Chinese_version,TextRecognitionDataGenerator和text_renderer
[1] https://github.com/eragonruan/text-detection-ctpn
[2] https://github.com/senlinuc/caffe_ocr