Installation on Windows¶
Prerequisites¶
We tested on Windows8.1 64bit and Windows10 64bit.
The following software are required for installation:
- Required software.
- Python 2.7 or Python>=3.5: PIP
- Microsoft Visual C++ 2015 Redistributable
- Recommended.
- CUDA Toolkit and CUDNN (if you have CUDA GPUs).
Setup environment¶
Python2.7¶
In this instruction, we use miniconda.
Get and install the windows binary from here
And then install required packages from command prompt.
> conda install scipy scikit-image ipython
If your network is using proxy and setup fails, configure proxy server with environment variable and try install again.
> SET HTTP_PROXY=http://(enter the address of the http proxy server here)
> SET HTTPS_PROXY=https://(enter the address of the https proxy server here)
CUDA and CUDNN library¶
If you are using a NVIDIA GPU, execution speed will be drastically improved by installing the following software.
To install cuDNN, copy bin, include and lib to C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v{CUDA_VERSION}
See a list of compatible CUDNN versions of CUDA extension packages.