SKIMAGE

Load an example image from scikit-image, such as an astronaut, the moon, a horse, etc. Examples can be found here: https://scikit-image.org/docs/stable/auto_examples/index.html Params: img_key : str The name of the image to be loaded from scikit-image. Returns: out : Image DataContainer containing the image loaded from scikit-image.

Python Code

from flojoy import flojoy, Image
from skimage import data
from typing import Literal


@flojoy(deps={"scikit-image": "0.21.0"})
def SKIMAGE(
    img_key: Literal[
        "astronaut",
        "binary_blobs",
        "brain",
        "brick",
        "camera",
        "cat",
        "cell",
        "cells3d",
        "checkerboard",
        "chelsea",
        "clock",
        "coffee",
        "coins",
        "colorwheel",
        "create_image_fetcher",
        "data_dir",
        "download_all",
        "eagle",
        "file_hash",
        "grass",
        "gravel",
        "horse",
        "hubble_deep_field",
        "human_mitosis",
        "image_fetcher",
        "immunohistochemistry",
        "kidney",
        "lbp_frontal_face_cascade_filename",
        "lfw_subset",
        "lily",
        "logo",
        "microaneurysms",
        "moon",
        "nickel_solidification",
        "page",
        "protein_transport",
        "retina",
        "rocket",
        "shepp_logan_phantom",
        "skin",
        "stereo_motorcycle",
        "text",
        "vortex",
    ] = "astronaut",
) -> Image:
    """Load an example image from scikit-image, such as an astronaut, the moon, a horse, etc.

    Examples can be found here:
    https://scikit-image.org/docs/stable/auto_examples/index.html

    Parameters
    ----------
    img_key : str
        The name of the image to be loaded from scikit-image.

    Returns
    -------
    Image
        DataContainer containing the image loaded from scikit-image.
    """

    img_array = getattr(data, img_key)()

    if len(img_array.shape) == 2:
        red = green = blue = img_array
        alpha = None
    elif len(img_array.shape) == 3:
        # Color image
        if img_array.shape[2] == 3:
            red, green, blue = (
                img_array[:, :, 0],
                img_array[:, :, 1],
                img_array[:, :, 2],
            )
            alpha = None
        elif img_array.shape[2] == 4:
            red, green, blue, alpha = (
                img_array[:, :, 0],
                img_array[:, :, 1],
                img_array[:, :, 2],
                img_array[:, :, 3],
            )

    return Image(
        r=red,
        g=green,
        b=blue,
        a=alpha,
    )

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Example

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The SKIMAGE app

In this example, there are three nodes and the workflow of this app is described below:

SKIMAGE : This is a SK Learn Image node. It takes one parameter img_key, the name of sample image to load from scikit-image package. In this case it is ‘astronaut’ which is default value of this parameter. It passing a DataContainer class of an image (r,g,b,a) to the next node Object Detection.

OBJECT_DETECTION: This is Object detection node which detects objects from a given DataContainer class of image type using opencv python library.

END: This node terminating the current script run. The output of this node is same as its parent node.