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Converts masks to images for visualization and processing in standard image formats by expanding dimensions and replicating values.
The MaskToImage node is designed to convert a mask, which is typically a binary or grayscale image used to define specific areas of interest, into a standard image format. This conversion is particularly useful when you need to visualize or further process the mask in applications that require standard image formats. The node takes a mask and transforms it into an image by expanding its dimensions and replicating the mask values across the color channels, resulting in a three-channel image. This process ensures that the mask can be easily viewed and manipulated using common image processing tools.
The mask
parameter is the primary input for this node. It represents the binary or grayscale mask that you want to convert into an image. The mask is typically a two-dimensional array where each pixel value indicates the presence or absence of a feature. This parameter does not have specific minimum, maximum, or default values, as it directly depends on the mask you provide. The mask should be in a format that the node can interpret correctly, usually a tensor or array.
The image
parameter is the output of the MaskToImage node. It is a three-channel image where the original mask values are replicated across the red, green, and blue channels. This transformation allows the mask to be visualized as a standard image, making it easier to interpret and use in further image processing tasks. The output image retains the spatial dimensions of the original mask but expands its depth to three channels.
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