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LoadImageHighPrec node processes 16-bit PNG images with high precision for color accuracy and detail retention in AI frameworks.
The LoadImageHighPrec
node is designed to load 16-bit PNG images with high precision, making it ideal for tasks that require detailed color information and higher dynamic range. This node ensures that the images are processed to maintain their high bit depth, which is crucial for applications like professional photo editing, scientific imaging, and any other scenario where color accuracy and detail are paramount. By converting the image data into a format that can be easily manipulated within the AI framework, this node provides a robust solution for handling high-precision images.
This parameter specifies the path to the image file you want to load. The node supports only PNG files for 16-bit color depth. If the provided file is not a PNG, the node will fall back to a standard image loading method. The image path should be correctly annotated and accessible within the system. This parameter is crucial as it determines the source of the image data that will be processed.
This output parameter provides the loaded image in a tensor format, normalized to a range between 0.0 and 1.0. The image tensor is prepared for further processing within the AI framework, ensuring that the high-precision color information is preserved.
This output parameter provides a mask tensor, which is used to handle the alpha channel of the image if present. If the image has an alpha channel, the mask will represent the transparency information. If not, a default mask of zeros will be provided. This mask is useful for tasks that require differentiation between opaque and transparent regions of the image.
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