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Extracts and interprets point data from structured strings for AI artists to visualize spatial data efficiently.
The ParsePoints
node is designed to extract and interpret point data from a structured string input, typically formatted in a specific way to denote coordinates and associated labels. This node is particularly useful for AI artists who need to process and visualize spatial data, such as points on an image, by parsing strings that contain coordinate information. The primary function of this node is to identify and extract these points, along with any associated labels or alternative labels, from the input string. By doing so, it enables users to efficiently manage and utilize point data for various creative and analytical purposes, such as plotting points on a visual canvas or analyzing spatial relationships. The node's ability to filter and validate points ensures that only relevant and non-duplicate data is processed, enhancing the accuracy and reliability of the output.
The string
parameter is a required input that represents the structured text containing the point data to be parsed. This string should be formatted in a way that includes coordinate information, typically expressed as percentages, along with optional labels and alternative labels. The function of this parameter is to provide the raw data that the node will process to extract meaningful point information. There are no specific minimum, maximum, or default values for this parameter, but it must be a valid string that conforms to the expected format for successful parsing.
The filter
parameter is a required input that allows you to specify a string used to filter the points based on their labels or alternative labels. This parameter impacts the node's execution by determining which points are considered relevant and should be included in the output. By providing a filter string, you can focus on specific points that match the criteria, ensuring that the node only processes data that is pertinent to your needs. There are no specific minimum, maximum, or default values for this parameter, but it should be a valid string that effectively filters the desired points.
The POINT
output parameter represents the list of parsed points extracted from the input string. Each point is expressed as a pair of coordinates, typically in the form of percentages, which indicate their position relative to a reference frame, such as an image. This output is crucial for visualizing and analyzing spatial data, as it provides the precise locations of the points that were successfully parsed and filtered.
The first STRING
output parameter contains the list of labels associated with the parsed points. These labels provide descriptive information about each point, helping to identify and categorize them based on their intended meaning or function. This output is important for understanding the context and significance of the points within the broader scope of your project.
The second STRING
output parameter includes the list of alternative labels for the parsed points. These alternative labels offer additional context or descriptions for the points, which can be useful for further categorization or differentiation. This output enhances the flexibility and depth of the data, allowing for more nuanced interpretations and applications.
string
is correctly formatted with coordinate data and labels to facilitate accurate parsing by the node.filter
parameter to focus on specific points of interest, which can help streamline the data processing and improve the relevance of the output.<match>
: <error>
<match>
placeholder indicates the specific part of the string that caused the problem, and <error>
provides additional details about the nature of the issue.string
is correctly formatted and adheres to the expected structure for point data. Ensure that all necessary components, such as coordinates and labels, are present and properly enclosed. If the error persists, review the specific <match>
and <error>
details to identify and correct any discrepancies or formatting errors.© Copyright 2024 RunComfy. All Rights Reserved.