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Split list of images based on criteria for segmented processing, saving time and ensuring consistency.
The easy imageSplitList
node is designed to split a list of images into multiple sublists based on specific criteria. This node is particularly useful when you need to organize or process images in smaller groups, making it easier to handle large batches of images. The node intelligently divides the images into three sublists if the total number of images is divisible by three, or into two sublists if divisible by two. This functionality is beneficial for tasks that require segmented image processing, such as batch editing, analysis, or training machine learning models. By automating the splitting process, the easy imageSplitList
node saves time and ensures consistency in how images are grouped.
This parameter accepts a list of images that you want to split. The images should be in a format recognized by the node, typically as tensors or arrays. The function of this parameter is to provide the node with the data it needs to perform the splitting operation. There are no specific minimum or maximum values for this parameter, but the list should contain at least one image for the node to function correctly.
The output consists of three sublists of images. The first sublist contains images that are positioned at indices divisible by three, the second sublist contains images at indices that leave a remainder of one when divided by three, and the third sublist contains images at indices that leave a remainder of two when divided by three. If the total number of images is divisible by two but not by three, the node will split the images into two sublists instead. This output is crucial for further processing or analysis, as it organizes the images into manageable groups.
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