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Enhance image processing by overlaying labels for annotations, captions, and metadata.
The Image Overlay node is designed to enhance your image processing workflow by allowing you to overlay labels onto images. This node is particularly useful for adding annotations, captions, or any form of textual information directly onto images, which can be beneficial for creating informative visuals or datasets with embedded metadata. The node supports various types of labels, including floating-point numbers, integers, and strings, providing flexibility in the kind of information you can overlay. By integrating this node into your workflow, you can streamline the process of labeling images, making it easier to organize and interpret visual data.
This parameter accepts a list of images in the form of tensors. These images are the base onto which the labels will be overlaid. The images should be pre-processed and converted into a suitable format for tensor operations, typically as floating-point arrays normalized between 0 and 1.
This optional parameter allows you to provide a list of floating-point numbers to be used as labels on the images. These labels can represent continuous data or measurements that you wish to display on the images. If not provided, no floating-point labels will be added.
This optional parameter is for providing a list of integer labels. These can be used to denote categorical data or identifiers that are relevant to the images. If omitted, no integer labels will be overlaid.
This optional parameter accepts a list of strings to be used as labels. These strings can be any textual information you want to display on the images, such as names, descriptions, or annotations. If not specified, no string labels will be added.
This output consists of a list of images with the specified labels overlaid. Each image in the list corresponds to an input image with the appropriate labels applied, allowing you to visually verify and utilize the labeled images in further processing or analysis.
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