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Introduction
A crnn project based on Tensorflow2.
Demo
digit
chinese
Features
- Refactoring.
Requirements
- Python 3.6+
- Tensorflow 2.2.0+
Recent updates
2020-10-13: The first version is online.
2021-3-6: Open source data construction tools 。
Contents
Installation
python
Install the required Python packages,
pip install -r requirements.txt
docker
Usage
train
- Pull code
git clone https://github.com/lvjianjin/crnn.git
- Prepare the data set
digit dataset
Generate simulation data through this tool, and modify the local dataset path to dataset_path in ./configs/config.py.
chinese dataset
Generate simulation data through this tool or download the following Chinese data set to the local, and modify the local data set path to dataset_path in ./configs/config.py.
链接：https://pan.baidu.com/s/1FgdITVrM_HsyNh7QSpePjw
提取码：iakr
解压密码:chineseocr
- training
执行训练代码,
python main.py -m train
test
Execute training code,
python main.py -m test
Pre-trained model
The pre-trained model will be released soon, so stay tuned.
Contact
- e-mail：[email protected]
- QQ Group：1081332609
License
The codes are released under the MIT License.