- Text detection model：Advanced EAST,code is from：https://github.com/huoyijie/AdvancedEAST
- Text recognition model：CRNN，code is from：https://github.com/chineseocr/chineseocr
- Advanced EAST and CRNN are deploying with TF-Serving。
- EAST TF-Serving receive image base64，much faster than receiving images directly。
- CRNN model: Change LSTM to CUDNNLSTM, speed increased by about 4 times.
- docker - https://docs.docker.com/install/linux/docker-ce/ubuntu/
- nvidia-docker - https://github.com/NVIDIA/nvidia-docker
sudo docker pull tensorflow/serving:1.13.0-gpuwget https://github.com/MagicianQi/Scene_Text_Recognition/releases/download/v1.0/flask-uwsgi-python-centos.tar && sudo docker load -i flask-uwsgi-python-centos.targit clone https://github.com/MagicianQi/Scene_Text_Recognitioncd Scene_Text_Recognition && wget https://github.com/MagicianQi/Scene_Text_Recognition/releases/download/v1.0/models.zip && unzip models.zip- Specify the GPU ID:
vim deploy.sh1.https://github.com/MagicianQi/Scene_Text_Recognition/blob/master/deploy.sh#L10 2.https://github.com/MagicianQi/Scene_Text_Recognition/blob/master/deploy.sh#L27 - Specify the model absolute path：
vim deploy.sh1.https://github.com/MagicianQi/Scene_Text_Recognition/blob/master/deploy.sh#L12 2.https://github.com/MagicianQi/Scene_Text_Recognition/blob/master/deploy.sh#L29 bash deploy.sh- Test:
curl localhost:8080
- Address of the test：https://IP:8080/test
- Other API：https://github.com/MagicianQi/Scene_Text_Recognition/blob/master/flask_server.py