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Docs: remove experimental status from existing stats properties
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docs/api-input.md

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@@ -82,9 +82,9 @@ A `Promise` is returned when `callback` is not provided.
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* `maxX` (x-coordinate of one of the pixel where the maximum lies)
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* `maxY` (y-coordinate of one of the pixel where the maximum lies)
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* `isOpaque`: Is the image fully opaque? Will be `true` if the image has no alpha channel or if every pixel is fully opaque.
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* `entropy`: Histogram-based estimation of greyscale entropy, discarding alpha channel if any (experimental)
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* `sharpness`: Estimation of greyscale sharpness based on the standard deviation of a Laplacian convolution, discarding alpha channel if any (experimental)
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* `dominant`: Object containing most dominant sRGB colour based on a 4096-bin 3D histogram (experimental)
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* `entropy`: Histogram-based estimation of greyscale entropy, discarding alpha channel if any.
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* `sharpness`: Estimation of greyscale sharpness based on the standard deviation of a Laplacian convolution, discarding alpha channel if any.
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* `dominant`: Object containing most dominant sRGB colour based on a 4096-bin 3D histogram.
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**Note**: Statistics are derived from the original input image. Any operations performed on the image must first be
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written to a buffer in order to run `stats` on the result (see third example).

lib/input.js

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@@ -401,9 +401,9 @@ function metadata (callback) {
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* - `maxX` (x-coordinate of one of the pixel where the maximum lies)
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* - `maxY` (y-coordinate of one of the pixel where the maximum lies)
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* - `isOpaque`: Is the image fully opaque? Will be `true` if the image has no alpha channel or if every pixel is fully opaque.
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* - `entropy`: Histogram-based estimation of greyscale entropy, discarding alpha channel if any (experimental)
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* - `sharpness`: Estimation of greyscale sharpness based on the standard deviation of a Laplacian convolution, discarding alpha channel if any (experimental)
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* - `dominant`: Object containing most dominant sRGB colour based on a 4096-bin 3D histogram (experimental)
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* - `entropy`: Histogram-based estimation of greyscale entropy, discarding alpha channel if any.
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* - `sharpness`: Estimation of greyscale sharpness based on the standard deviation of a Laplacian convolution, discarding alpha channel if any.
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* - `dominant`: Object containing most dominant sRGB colour based on a 4096-bin 3D histogram.
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*
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* **Note**: Statistics are derived from the original input image. Any operations performed on the image must first be
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* written to a buffer in order to run `stats` on the result (see third example).

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