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https://github.com/jni/halfway-to-i2k-skimage-napari
Repo for halfway to i2k workshop: Fundamentals of image analysis in Python with scikit-image, napari, and friends
https://github.com/jni/halfway-to-i2k-skimage-napari
Last synced: about 1 month ago
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Repo for halfway to i2k workshop: Fundamentals of image analysis in Python with scikit-image, napari, and friends
- Host: GitHub
- URL: https://github.com/jni/halfway-to-i2k-skimage-napari
- Owner: jni
- License: bsd-3-clause
- Created: 2023-10-06T05:12:37.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2023-10-19T05:01:19.000Z (about 1 year ago)
- Last Synced: 2024-10-05T00:31:22.242Z (about 2 months ago)
- Language: Python
- Size: 28.1 MB
- Stars: 6
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Fundamentals of image analysis in Python with scikit-image, napari, and friends
See the [tutorial page on the I2K site for
details](https://www.i2kconference.org/workshops#table).## Installation & running this tutorial
⚠️ WARNING: You should reinstall this just before the workshop as we might
have made some changes by then. ⚠️First you need to download this tutorial repository to your local machine.
You can do so in one of two ways:- If you are familiar with git, clone this repository with the command:
```sh
git clone https://github.com/jni/halfway-to-i2k-skimage-napari
```
And navigate to the cloned repository.- Otherwise, download the repository as a zip file directly using this link:
https://github.com/jni/halfway-to-i2k-skimage-napari/archive/refs/heads/main.zip
Then, using your file browser, navigate to the downloaded file, unzip it
(optionally to a different location on your computer), and navigate to the
contents of the folder `halfway-to-i2k-skimage-napari`.At this point, follow the installation instructions in the file
[`tutorial/install_dependencies.md`](https://github.com/jni/halfway-to-i2k-skimage-napari/blob/main/tutorial/install_dependencies.md)