RollingAverageImages_OfLoop
Averages images appearing in consecutive iterations pixel by pixel using exponential rolling average.
Syntax
C++
Python
def RollingAverageImages_OfLoop( state: ImageCombinators_OfLoopState, inImage: Image, outImage: Image, /, *, inRoi: Region | None = None, inAlpha: float = 0.5 ) -> None
Parameters
| Name | Type | Range | Default | Description | |
|---|---|---|---|---|---|
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ioState | ImageCombinators_OfLoopState | |||
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inImage | Image | Input image | ||
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inRoi | Region | None | None | Range of pixels to be processed | |
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inAlpha | float | 0.0 - 1.0 | 0.5 | |
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outImage | Image | Output image |
Hardware Acceleration
This operation is optimized for SSE2 technology for pixels of types: UINT8, SINT16, REAL, SINT8(for inScale=1), UINT16(for inScale=1).
This operation is optimized for SSE41 technology for pixels of types: UINT16(for inScale!=1).
This operation is optimized for AVX2 technology for pixels of types: UINT8, SINT16, UINT16, REAL, SINT8(for inScale=1).
This operation supports automatic parallelization for multicore and multiprocessor systems.



