Quickstart

Importing dask-image

Import dask image is with an underscore, like this example:

import dask_image.imread
import dask_image.ndfilters

Dask Examples

We highly recommend checking out the dask-image-quickstart.ipynb notebook (and any other dask-image example notebooks) at the dask-examples repository. You can find the dask-image quickstart notebook in the applications folder of this repository:

https://github.com/dask/dask-examples

All the example notebooks are available to launch with mybinder and test out interactively.

An Even Quicker Start

You can read files stored on disk into a dask array by passing the filename, or regex matching multiple filenames into imread().

filename_pattern = 'path/to/image-*.png'
images = dask_image.imread.imread(filename_pattern)

If your images are parts of a much larger image, dask can stack, concatenate or block chunks together: http://docs.dask.org/en/latest/array-stack.html

Calling dask-image functions is also easy.

import dask_image.ndfilters
blurred_image = dask_image.ndfilters.gaussian_filter(images, sigma=10)

Many other functions can be applied to dask arrays. See the dask_array_documentation for more detail on general array operations.

result = function_name(images)

Further Reading

Good places to start include: