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This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! Edit on GitHubThis node adjusts the pixel values of an input image using a mathematical normalization process. It subtracts a specified mean value from each pixel and then divides the result by a specified standard deviation. This is a common preprocessing step to prepare image data for other machine learning models.
Inputs
| Parameter | Data Type | Required | Range | Description |
|---|---|---|---|---|
image | IMAGE | Yes | - | The input image to be normalized. |
mean | FLOAT | No | 0.0 - 1.0 | Mean value for normalization (default: 0.5). |
std | FLOAT | No | 0.001 - 1.0 | Standard deviation for normalization (default: 0.5). |
Outputs
| Output Name | Data Type | Description |
|---|---|---|
image | IMAGE | The resulting image after the normalization process has been applied. |
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