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Provides detailed statistics on 3D point cloud data for easy analysis and visualization.
The CloudPointsInfo node is designed to provide detailed information about a 3D point cloud, which is a collection of data points defined in a three-dimensional coordinate system. This node is particularly useful for artists and developers working with 3D models or depth maps, as it allows you to quickly assess the structure and range of your point cloud data. By analyzing the point cloud, the node outputs key statistics such as the number of points and the minimum and maximum values along each axis (X, Y, and Z). This information is crucial for understanding the spatial distribution and extent of your 3D data, enabling you to make informed decisions about further processing or visualization. The node is designed to be user-friendly, providing a straightforward way to gain insights into your 3D data without requiring deep technical knowledge.
The points parameter is the primary input for the CloudPointsInfo node, representing the 3D point cloud data that you wish to analyze. This parameter expects data in the Points3D format, which is a structured representation of 3D points. The function of this parameter is to provide the node with the necessary data to perform its analysis. The impact of this parameter on the node's execution is significant, as the accuracy and relevance of the output depend on the quality and structure of the input point cloud. There are no specific minimum, maximum, or default values for this parameter, as it is entirely dependent on the 3D data you are working with. However, it is important to ensure that the input data is correctly formatted and contains meaningful 3D coordinates to obtain useful results.
The output parameter of the CloudPointsInfo node is a STRING, which provides a textual summary of the analyzed point cloud data. This output includes information such as the total number of points in the cloud and the range of values along the X, Y, and Z axes. The importance of this output lies in its ability to convey essential characteristics of the point cloud in a concise and easily interpretable format. By understanding the spatial distribution and extent of your 3D data, you can make informed decisions about further processing, visualization, or manipulation. The output is designed to be accessible to users without a technical background, providing a clear and straightforward overview of the point cloud's properties.
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