1. The default requirements.txt will install CPU version, Change "requirements.txt" from "TensorFlow" to "TensorFlow-GPU" to Switch to GPU version
2. demo.py: An example of how to call a prediction method.

1. Install the python 3.6 environment (with pip)
2. Install virtualenv pip3 install virtualenv
3. Create a separate virtual environment for the project:

   virtualenv -p /usr/bin/python3 venv # venv is the name of the virtual environment.
   cd venv/ # venv is the name of the virtual environment.
   source bin/activate # to activate the current virtual environment.
   cd captcha_platform # captcha_platform is the project path.

4. pip install -r requirements.txt
5. Place your "model.yaml" in project path, and your model.pb in model folder (create if not exist)
6. Deploy as follows

1. Linux Deploy (Linux/Mac):

   1. Port: 5000

   pip install gunicorn
   gunicorn -c deploy.conf.py flask_server:app
   

   2. Port: 19951

   python flask_server
   

2. Windows Deploy (Windows):

   python flask_server
   

   Port: 19951

Deploy:

python3 grpc_server.py

Port: 50054

python -m grpc_tools.protoc -I. --python_out=. --grpc_python_out=. ./grpc.proto

- captcha_platform
 - grpc_server.py
 - flask_server.py
 - demo.py
- model
 - ***Model.pb

https://www.jianshu.com/p/fccd596ef023