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Calculate average color of an image for color analysis and manipulation in RGB channels.
The > Get Mean Color node is designed to calculate the average color of an image, providing a simple yet powerful way to analyze and manipulate color data. This node processes the image to determine the mean values of the red, green, and blue color channels, which can be useful for various artistic and technical applications. By understanding the dominant color in an image, you can make informed decisions about color adjustments, blending, and other post-processing effects. The node ensures that the calculated mean color is balanced and adjusted to fit within the standard RGB color range, making it a reliable tool for color analysis.
This parameter accepts the image file you want to analyze. The image should be in a format that can be processed by the node, such as JPEG or PNG. The node will read the image and calculate the mean color values for the red, green, and blue channels. Ensure the image is properly uploaded and accessible for accurate color analysis.
This parameter specifies the color channel to be analyzed. The available options are "alpha", "red", "green", and "blue". By selecting a specific channel, you can focus the analysis on that particular aspect of the image's color data. This can be useful for tasks that require detailed examination of individual color components.
The output is a mask that represents the mean color values of the specified channel in the image. This mask can be used for further image processing tasks, such as blending, filtering, or color correction. The mask is a tensor that contains the normalized color data, making it easy to integrate with other nodes and processes in your workflow.
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