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Docs: fix affine interpolator example
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@ -93,7 +93,7 @@ Perform an affine transform on an image. This operation will always occur after
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You must provide an array of length 4 or a 2x2 affine transformation matrix.
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By default, new pixels are filled with a black background. You can provide a background color with the `background` option.
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A particular interpolator may also be specified. Set the `interpolator` option to an attribute of the `sharp.interpolator` Object e.g. `sharp.interpolator.nohalo`.
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A particular interpolator may also be specified. Set the `interpolator` option to an attribute of the `sharp.interpolators` Object e.g. `sharp.interpolators.nohalo`.
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In the case of a 2x2 matrix, the transform is:
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- X = `matrix[0, 0]` \* (x + `idx`) + `matrix[0, 1]` \* (y + `idy`) + `odx`
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@ -127,7 +127,7 @@ where:
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const pipeline = sharp()
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.affine([[1, 0.3], [0.1, 0.7]], {
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background: 'white',
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interpolate: sharp.interpolators.nohalo
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interpolator: sharp.interpolators.nohalo
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})
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.toBuffer((err, outputBuffer, info) => {
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// outputBuffer contains the transformed image
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2
lib/index.d.ts
vendored
2
lib/index.d.ts
vendored
@ -356,7 +356,7 @@ declare namespace sharp {
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* Perform an affine transform on an image. This operation will always occur after resizing, extraction and rotation, if any.
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* You must provide an array of length 4 or a 2x2 affine transformation matrix.
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* By default, new pixels are filled with a black background. You can provide a background color with the `background` option.
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* A particular interpolator may also be specified. Set the `interpolator` option to an attribute of the `sharp.interpolator` Object e.g. `sharp.interpolator.nohalo`.
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* A particular interpolator may also be specified. Set the `interpolator` option to an attribute of the `sharp.interpolators` Object e.g. `sharp.interpolators.nohalo`.
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*
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* In the case of a 2x2 matrix, the transform is:
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* X = matrix[0, 0] * (x + idx) + matrix[0, 1] * (y + idy) + odx
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@ -114,7 +114,7 @@ function flop (flop) {
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*
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* You must provide an array of length 4 or a 2x2 affine transformation matrix.
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* By default, new pixels are filled with a black background. You can provide a background color with the `background` option.
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* A particular interpolator may also be specified. Set the `interpolator` option to an attribute of the `sharp.interpolator` Object e.g. `sharp.interpolator.nohalo`.
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* A particular interpolator may also be specified. Set the `interpolator` option to an attribute of the `sharp.interpolators` Object e.g. `sharp.interpolators.nohalo`.
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*
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* In the case of a 2x2 matrix, the transform is:
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* - X = `matrix[0, 0]` \* (x + `idx`) + `matrix[0, 1]` \* (y + `idy`) + `odx`
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@ -131,7 +131,7 @@ function flop (flop) {
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* const pipeline = sharp()
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* .affine([[1, 0.3], [0.1, 0.7]], {
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* background: 'white',
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* interpolate: sharp.interpolators.nohalo
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* interpolator: sharp.interpolators.nohalo
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* })
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* .toBuffer((err, outputBuffer, info) => {
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* // outputBuffer contains the transformed image
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