.. highlight:: shell ========== Quickstart ========== Importing dask-image -------------------- Import dask image is with an underscore, like this example: .. code-block:: python 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 The direct link to the notebook file is here: https://github.com/dask/dask-examples/blob/main/applications/image-processing.ipynb 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()``. .. code-block:: python 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. .. code-block:: python 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. .. _dask_array_documentation: http://docs.dask.org/en/latest/array.html .. code-block:: python result = function_name(images) Further Reading --------------- Good places to start include: * The dask-image API documentation: http://image.dask.org/en/latest/api.html * The documentation on working with dask arrays: http://docs.dask.org/en/latest/array.html Talks and Slides ---------------- Here are some talks and slides that you can watch to learn dask-image: - 2020, Genevieve Buckley's talk at PyConAU and SciPy Japan - `Watch the talk in PyConAU `_ - `Scipy Japanのトークを見る(プレゼンテーション:英語, 字幕:日本語) `_ Watch the talk at SciPy Japan (presentation in English, captions in Japanese) - `See the slides `_ - 2019, John Kirkham's SciPy talk - `Watch the talk `_ - `See the slides `_