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Efficiently assemble images and labels into cohesive plots for data visualization and presentations.
The ezXY_AssemblePlot
node is designed to help you create a cohesive plot by assembling multiple images along with their corresponding x and y labels. This node is particularly useful for visualizing data in a structured format, making it easier to interpret complex datasets. By leveraging this node, you can efficiently combine images and labels into a single, organized plot, which can be beneficial for presentations, data analysis, and artistic projects. The primary goal of this node is to streamline the process of plotting images with labels, ensuring that the final output is both visually appealing and informative.
This parameter expects a list of images that you want to include in the plot. Each image should be a tensor, and the list can contain multiple images that will be arranged according to the provided x and y labels. The quality and arrangement of the final plot heavily depend on the images provided.
This parameter takes a list of labels for the x-axis. These labels will be positioned along the horizontal axis of the plot, corresponding to the images. The labels help in identifying and differentiating the images based on their x-axis position.
This parameter accepts a list of labels for the y-axis. These labels will be positioned along the vertical axis of the plot, corresponding to the images. Similar to the x_labels, these labels assist in identifying and differentiating the images based on their y-axis position.
The output of this node is a single tensor representing the assembled plot. This plot includes all the provided images arranged according to the x and y labels, creating a cohesive and organized visual representation. The output plot is ready for further analysis, presentation, or artistic use.
cv2
to resize the labels appropriately.© Copyright 2024 RunComfy. All Rights Reserved.