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Organize and filter segmented elements based on specific criteria to manage and prioritize relevant elements effectively.
The ImpactSEGSOrderedFilter node is designed to help you organize and filter segmented elements (SEGS) based on specific criteria. This node allows you to sort SEGS by various attributes such as area, width, height, and confidence, among others. By specifying the order and the range of SEGS to take, you can effectively manage and prioritize the elements that are most relevant to your project. This functionality is particularly useful in scenarios where you need to focus on the most significant segments or when you want to streamline your workflow by filtering out less important elements.
This parameter specifies the attribute by which the SEGS will be sorted. Options include "area(=wh)", "width", "height", "x1", "y1", "x2", "y2", and "confidence". Each option targets a different aspect of the SEGS, allowing you to sort them based on the chosen attribute. For example, selecting "area(=wh)" will sort the SEGS by their area, while "confidence" will sort them by their confidence score.
This boolean parameter determines the sorting order. If set to True, the SEGS will be sorted in descending order, meaning the highest values will come first. If set to False, the SEGS will be sorted in ascending order, with the lowest values first. The default value is True.
This integer parameter specifies the starting index from which SEGS will be taken after sorting. It allows you to skip a certain number of SEGS from the beginning of the sorted list. The default value is 0, with a minimum value of 0 and no specified maximum value.
This integer parameter defines the number of SEGS to take starting from the take_start
index. It allows you to limit the number of SEGS that are selected after sorting. The default value is 1, with a minimum value of 0 and no specified maximum value.
The output of this node is a DETAILER_HOOK, which is a specialized hook that can be used in subsequent processing steps. This hook contains the filtered and sorted SEGS based on the specified input parameters, allowing for further manipulation or analysis in your workflow.
target
parameter to "area(=w*h)" and the order
parameter to True.target
to "confidence", order
to True, take_start
to 0, and take_count
to 5. - Use the take_start
parameter to skip initial segments that may not be relevant to your analysis, especially in large datasets.<target>
'target
parameter is set to one of the valid options: "area(=w*h)", "width", "height", "x1", "y1", "x2", "y2", or "confidence".take_start
or take_count
parameters are set in a way that exceeds the number of available SEGS.take_start
and take_count
are within the range of the total number of SEGS after sorting. Adjust these values accordingly to avoid exceeding the list bounds.© Copyright 2024 RunComfy. All Rights Reserved.