i2k-skimage-napari
Repository for the scikit-image, napari, & friends tutorial at I2K 2020
BSD-3-CLAUSE License
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i2k-skimage-napari
Repository for the scikit-image, napari, & friends tutorial at I2K 2020
Installation
with conda
Use:
conda env create -f environment.yml
then
conda activate i2k
with pip
In an environment including pip, use:
pip install -U -r requirements.txt
We recommend that you use Python 3.8 for this tutorial. Both 3.7 and 3.9 should also work but have not been tested.
Datasets
For the dask tutorial, we are going to be using some 3D + t datasets from the Cell Tracking Challenge, specifically:
- the C. elegans developing embryo training
dataset
(3GB), OR, if that is too large for you to comfortably download, - the Chinese Hamster Ovarian (CHO) nuclei overexpressing GFP-PCNA training
dataset
(98MB)