» pip install scikit-image
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Look in to the documentation In order to install it you need to use the following command
pip install scikit-image
if you want to install it using the word skimage
sudo apt-get install python-skimage
You can install it using
pip install -U scikit-image or this pip install scikit-image
Factsheet
install numpy first
pip install numpy
If you face installation issues for numpy, get the pre-built windows installers from http://www.lfd.uci.edu/~gohlke/pythonlibs/ for your python version (python version is different from windows version).
numpy 32-bit: numpy-1.11.1+mkl-cp27-cp27m-win32.whl
numpy 64-bit: numpy-1.11.1+mkl-cp27-cp27m-win_amd64.whl
Microsoft Visual C++ 9.0 is required. If you need VC++ 9.0, then please get it from this link: Microsoft VC++ 9.0 download
Then install
pip install scikit-image
It will install the below list before installing scikit-image
pyparsing, six, python-dateutil, pytz, cycler, matplotlib, scipy, decorator, networkx, pillow, toolz, dask
If it fails at installation of scipy, follow below steps: get the pre-built windows installers from http://www.lfd.uci.edu/~gohlke/pythonlibs/ for your python version (python version is different from windows version).
Scipy 32-bit: scipy-0.18.0-cp27-cp27m-win32.whl
Scipy 64-bit: scipy-0.18.0-cp27-cp27m-win_amd64.whl
If it fails saying whl is not supported wheel on this platform , then upgrade pip using python -m pip install --upgrade pip and try installing scipy
Now try
pip install scikit-image
It should work like a charm.
Upgrade pip first
pip install --upgrade pip
install numpy
pip install numpy
install scipy
pip install scipy
download build tools from C++ of version 14 or higher from the link
Microsoft visual code C++ build tools