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4 changes: 4 additions & 0 deletions README.md
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scikit-image tutorials
======================

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- '*/not_yet_booked/*'
- '*/solutions/*'
- '*/_build/*'
- README.md
- index.md
execute:
execute_notebooks : 'cache'
timeout: 180
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format: jb-article
root: lectures/00_images_are_arrays
root: index
sections:
- file: lectures/00_images_are_arrays
- file: lectures/1_image_filters
- file: lectures/3_morphological_operations
- file: lectures/4_segmentation
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# Scikit-image tutorials

These pages are a collection of tutorials for the
[scikit-image](http://skimage.org) package.

You can read the tutorials as web pages, or you can setup and run on your local
machine:

1. [Follow the preparation instructions](preparation)
2. Start the notebook server *from the same directory as this file* with
`jupyter notebook`

Refer to [the gallery](http://scikit-image.org/docs/dev/auto_examples/) as
well as [scikit-image demos](https://github.com/scikit-image/skimage-demos)
for more examples.

Please see the repository [README](README) for more about the files here, and
guidelines for use and contribution.
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[✓] scikit-learn 0.19.1
```

**If you do not have a working setup, please contact the instructors.**
**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](repo_guide).
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# Once you have cloned or copied the lectures

See [preparation](preparation) to get the lecture files on your own computer.

The instructions here are to guide you once you have done that.

## Lectures

See the full list of lectures in the `./lectures` directory.

## Events

Workshop teaching schedules are in the `./workshops` directory.

## More demos and examples

Refer to [the gallery](http://scikit-image.org/docs/dev/auto_examples/) as
well as [scikit-image demos](https://github.com/scikit-image/skimage-demos)
for more examples.
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