Preparation

Preparation#

Format#

The tutorial consists of lecture segments, followed by hands-on exercises. We strongly encourage you to bring a laptop with all the required packages installed in order to participate fully.

Software required#

  • Python

    If you are new to Python, please install the Anaconda distribution for Python version 3 (available on OSX, Linux, and Windows). Everyone else, feel free to use your favorite distribution, but please ensure the requirements below are met:

    • numpy >= 1.21

    • scipy >= 1.7

    • matplotlib >= 3.5

    • scikit-image >= 0.19

    • scikit-learn >= 1.0

    • notebook >= 6.4 (or jupyterlab >= 3.3)

    Please see “Test your setup” below.

  • Jupyter

    The lecture material includes Jupyter notebooks. Please follow the Jupyter installation instructions, and ensure you have version 4 or later:

    $ jupyter --version
4.4.0

    Also activate Jupyter Widgets:

    pip install -q ipywidgets
jupyter nbextension enable --py --sys-prefix widgetsnbextension

Download lecture material#

  1. Install Git

  2. Clone the repository at scikit-image/skimage-tutorials

We may make editorial corrections to the material until the day before the workshop, so please execute git pull to update.

Test your setup#

Please switch into the repository you downloaded in the previous step, and run check_setup.py to validate your installation.

On my computer, I see (but your version numbers may differ):

[✓] scikit-image  0.15.0
[✓] numpy         1.14.5
[✓] scipy         1.1.0
[✓] matplotlib    2.2.2
[✓] notebook      5.4.0
[✓] scikit-learn  0.19.1

If you are in a workshop, and you do not have a working setup, please contact the instructors.

Next#

See the guide to this repository.

Contents