@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
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JavaScript
/**
* @license
* Copyright 2020 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
import { ENGINE } from '../../engine';
import { ResizeBilinear } from '../../kernel_names';
import { convertToTensor } from '../../tensor_util_env';
import * as util from '../../util';
import { op } from '../operation';
import { reshape } from '../reshape';
/**
* Bilinear resize a single 3D image or a batch of 3D images to a new shape.
*
* @param images The images, of rank 4 or rank 3, of shape
* `[batch, height, width, inChannels]`. If rank 3, batch of 1 is assumed.
* @param size The new shape `[newHeight, newWidth]` to resize the
* images to. Each channel is resized individually.
* @param alignCorners Defaults to `false`. If true, rescale
* input by `(new_height - 1) / (height - 1)`, which exactly aligns the 4
* corners of images and resized images. If false, rescale by
* `new_height / height`. Treat similarly the width dimension.
* @param halfPixelCenters Defaults to `false`. Whether to assume pixel centers
* are at 0.5, which would make the floating point coordinates of the top
* left pixel 0.5, 0.5.
*
* @doc {heading: 'Operations', subheading: 'Images', namespace: 'image'}
*/
function resizeBilinear_(images, size, alignCorners = false, halfPixelCenters = false) {
const $images = convertToTensor(images, 'images', 'resizeBilinear');
util.assert($images.rank === 3 || $images.rank === 4, () => `Error in resizeBilinear: x must be rank 3 or 4, but got ` +
`rank ${$images.rank}.`);
util.assert(size.length === 2, () => `Error in resizeBilinear: new shape must 2D, but got shape ` +
`${size}.`);
util.assert(halfPixelCenters === false || alignCorners === false, () => `Error in resizeBilinear: If halfPixelCenters is true, ` +
`alignCorners must be false.`);
let batchImages = $images;
let reshapedTo4D = false;
if ($images.rank === 3) {
reshapedTo4D = true;
batchImages = reshape($images, [1, $images.shape[0], $images.shape[1], $images.shape[2]]);
}
const [] = size;
const inputs = { images: batchImages };
const attrs = { alignCorners, halfPixelCenters, size };
// tslint:disable-next-line: no-unnecessary-type-assertion
const res = ENGINE.runKernel(ResizeBilinear, inputs, attrs);
if (reshapedTo4D) {
return reshape(res, [res.shape[1], res.shape[2], res.shape[3]]);
}
return res;
}
export const resizeBilinear = op({ resizeBilinear_ });
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