This server is using flask to provide a simple interface to upload files and train the network.
Once the dependencies are installed and the server is running, you will be able to access the website at:
localhost:8080/
To install all of the dependencies needed to run the python application, simply use pip with:
pip install -r requirements.txt
Fix Cuda Problem (Linux)
Type in terminal before executing the program
export PATH=/usr/local/cuda/bin${PATH:+:${PATH}}
export LD_LIBRARY_PATH=/usr/local/cuda/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}
If you have trouble finding the correct versions, see here.
For example: tensorflow-gpu-1.4.1 uses CUDA-8.0 and CUDNN-6.0
- Jinja2 Whitespace Control in Flask
- Flask Socket-IO
- Flask Request Attributes
- SocketIO emit from another thread/context