IMAGE

Create a Plotly Image visualization for a given input DataContainer type of image. Params: default : Image the DataContainer to be visualized Returns: out : Plotly the DataContainer containing the Plotly Image visualization of the input image

Python Code

import numpy as np
import plotly.express as px
from flojoy import Grayscale, Image, Plotly, flojoy
from blocks.DATA.VISUALIZATION.template import plot_layout


@flojoy
def IMAGE(default: Image | Grayscale) -> Plotly:
    """Create a Plotly Image visualization for a given input DataContainer type of image.

    Parameters
    ----------
    default : Image
        the DataContainer to be visualized

    Returns
    -------
    Plotly
        the DataContainer containing the Plotly Image visualization of the input image
    """

    layout = plot_layout(title="IMAGE")

    if isinstance(default, Image):
        r = default.r
        g = default.g
        b = default.b
        a = default.a

        if a is None:
            img_combined = np.stack((r, g, b), axis=2)
        else:
            img_combined = np.stack((r, g, b, a), axis=2)
        fig = px.imshow(img=img_combined)

    else:
        img = default.m
        rgb_image = np.zeros(
            (*img.shape, 3), dtype=np.uint8
        )  # only generated for plotting
        rgb_image[..., 0] = img * 255  # Red channel
        rgb_image[..., 1] = img * 255  # Green channel
        rgb_image[..., 2] = img * 255  # Blue channel
        fig = px.imshow(img=rgb_image)

    fig.layout = layout

    return Plotly(fig=fig)

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Example

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In this example LOCAL_FILE node is loading a default astronaut image which is then visualized with a plotly visualizer node IMAGE.