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Seamlessly integrate image patches with masks for precise image manipulation and spatial coherence.
The tri3d-image-mask-box-2-image
node is designed to seamlessly integrate a specific image patch back into its original image context using a mask. This node is particularly useful when you have extracted a portion of an image, perhaps for editing or analysis, and need to reintegrate it without losing the spatial coherence of the original image. By utilizing a mask, the node ensures that the patch is accurately placed back into its original position, maintaining the integrity of the image's composition. This process is essential for tasks that require precise image manipulation, such as inpainting or localized image enhancements, where the goal is to modify only a specific region of an image while preserving the rest.
The image
parameter represents the original image from which a portion was previously extracted. It serves as the base onto which the image patch will be reintegrated. This parameter is crucial as it provides the context and background for the patch, ensuring that the final output maintains the original image's integrity. The image should be in a compatible format, typically a tensor or array, that the node can process.
The mask
parameter is a binary or grayscale image that defines the region of interest within the original image where the patch will be placed. It acts as a guide, indicating which parts of the original image should be replaced by the patch. The mask ensures that the patch is accurately aligned and integrated, preserving the spatial relationships within the image. The mask should match the dimensions of the original image to ensure proper alignment.
The box
parameter is the image patch that was previously extracted and is now to be reintegrated into the original image. This patch should correspond to the region defined by the mask, ensuring that it fits seamlessly back into the original image. The box should be in the same format as the original image and mask, allowing for consistent processing and integration.
The output image
is the result of reintegrating the image patch back into the original image using the provided mask. This output maintains the original image's dimensions and composition, with the patch seamlessly integrated into its designated region. The output image is typically in the same format as the input image, ready for further processing or display.
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