install_on_windows.rst

Installation on Windows

• Prerequisites
• Setup environment
• Install
• FAQ

Prerequisites

We tested on Windows10 64bit, python3.10.

The following software are required for installation:

• Required software.
  • Python>=3.8: PIP
• Recommended.
  • CUDA Toolkit and cuDNN (if you have CUDA GPUs).

Setup environment

Python

If you don't install python, you can refer to the link below.

python

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=http://(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.

For the versions of CUDA/cuDNN we support, see :ref:`the table <cuda-cudnn-compatibility>`.

CUDA Toolkit

cuDNN

To install cuDNN, copy bin, include and lib to C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v{CUDA_VERSION}

Install

See :ref:`pip-installation-workflow`.

FAQ

Q. Scikit-image installation takes a long time.

Depending on the environment, it will take a long time. Please wait.