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Concatenate multiple SEGS objects into one cohesive set for AI art projects.
The ImpactSEGSConcat node is designed to concatenate multiple SEGS (Segmented Elements) objects into a single SEGS object. This node is particularly useful when you have multiple segmented data sets that you want to merge into one cohesive set. By ensuring that the dimensions of the SEGS objects match, this node helps maintain the integrity and consistency of your segmented data. It simplifies the process of combining segmented elements, making it easier to manage and manipulate large sets of segmented data in your AI art projects.
This parameter represents the first SEGS object that you want to concatenate. It is a required input and serves as the base SEGS object to which other SEGS objects will be added. The SEGS object consists of a tuple where the first element is the dimension (a tuple of two integers) and the second element is a list of segmented elements. The function will iterate through the provided SEGS objects and concatenate them if their dimensions match. If the dimensions do not match, the node will skip the mismatched SEGS and continue processing the rest.
The output of this node is a single SEGS object that contains the concatenated segmented elements from the input SEGS objects. The SEGS object is a tuple where the first element is the dimension (a tuple of two integers) and the second element is a list of concatenated segmented elements. If no valid SEGS objects are provided, the output will be an empty SEGS object with a dimension of (0, 0) and an empty list of segmented elements.
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