| 1 | /// <amd-module name="@tensorflow/tfjs-core/dist/ops/image/transform" />
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| 2 | import { Tensor2D, Tensor4D } from '../../tensor';
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| 3 | import { TensorLike } from '../../types';
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| 4 | /**
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| 5 | * Applies the given transform(s) to the image(s).
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| 6 | *
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| 7 | * @param image 4d tensor of shape `[batch, imageHeight, imageWidth, depth]`.
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| 8 | * @param transforms Projective transform matrix/matrices. A tensor1d of length
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| 9 | * 8 or tensor of size N x 8. If one row of transforms is [a0, a1, a2, b0
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| 10 | * b1, b2, c0, c1], then it maps the output point (x, y) to a transformed
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| 11 | * input point (x', y') = ((a0 x + a1 y + a2) / k, (b0 x + b1 y + b2) / k),
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| 12 | * where k = c0 x + c1 y + 1. The transforms are inverted compared to the
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| 13 | * transform mapping input points to output points.
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| 14 | * @param interpolation Interpolation mode.
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| 15 | * Supported values: 'nearest', 'bilinear'. Default to 'nearest'.
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| 16 | * @param fillMode Points outside the boundaries of the input are filled
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| 17 | * according to the given mode, one of 'constant', 'reflect', 'wrap',
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| 18 | * 'nearest'. Default to 'constant'.
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| 19 | * 'reflect': (d c b a | a b c d | d c b a ) The input is extended by
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| 20 | * reflecting about the edge of the last pixel.
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| 21 | * 'constant': (k k k k | a b c d | k k k k) The input is extended by
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| 22 | * filling all values beyond the edge with the same constant value k.
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| 23 | * 'wrap': (a b c d | a b c d | a b c d) The input is extended by
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| 24 | * wrapping around to the opposite edge.
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| 25 | * 'nearest': (a a a a | a b c d | d d d d) The input is extended by
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| 26 | * the nearest pixel.
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| 27 | * @param fillValue A float represents the value to be filled outside the
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| 28 | * boundaries when fillMode is 'constant'.
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| 29 | * @param Output dimension after the transform, [height, width]. If undefined,
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| 30 | * output is the same size as input image.
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| 31 | *
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| 32 | * @doc {heading: 'Operations', subheading: 'Images', namespace: 'image'}
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| 33 | */
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| 34 | declare function transform_(image: Tensor4D | TensorLike, transforms: Tensor2D | TensorLike, interpolation?: 'nearest' | 'bilinear', fillMode?: 'constant' | 'reflect' | 'wrap' | 'nearest', fillValue?: number, outputShape?: [number, number]): Tensor4D;
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| 35 | export declare const transform: typeof transform_;
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| 36 | export {};
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