resize.js
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'use strict';
const is = require('./is');
/**
* Weighting to apply when using contain/cover fit.
* @member
* @private
*/
const gravity = {
center: 0,
centre: 0,
north: 1,
east: 2,
south: 3,
west: 4,
northeast: 5,
southeast: 6,
southwest: 7,
northwest: 8
};
/**
* Position to apply when using contain/cover fit.
* @member
* @private
*/
const position = {
top: 1,
right: 2,
bottom: 3,
left: 4,
'right top': 5,
'right bottom': 6,
'left bottom': 7,
'left top': 8
};
/**
* Strategies for automagic cover behaviour.
* @member
* @private
*/
const strategy = {
entropy: 16,
attention: 17
};
/**
* Reduction kernels.
* @member
* @private
*/
const kernel = {
nearest: 'nearest',
cubic: 'cubic',
mitchell: 'mitchell',
lanczos2: 'lanczos2',
lanczos3: 'lanczos3'
};
/**
* Methods by which an image can be resized to fit the provided dimensions.
* @member
* @private
*/
const fit = {
contain: 'contain',
cover: 'cover',
fill: 'fill',
inside: 'inside',
outside: 'outside'
};
/**
* Map external fit property to internal canvas property.
* @member
* @private
*/
const mapFitToCanvas = {
contain: 'embed',
cover: 'crop',
fill: 'ignore_aspect',
inside: 'max',
outside: 'min'
};
/**
* @private
*/
function isRotationExpected (options) {
return (options.angle % 360) !== 0 || options.useExifOrientation === true || options.rotationAngle !== 0;
}
/**
* Resize image to `width`, `height` or `width x height`.
*
* When both a `width` and `height` are provided, the possible methods by which the image should **fit** these are:
* - `cover`: (default) Preserving aspect ratio, ensure the image covers both provided dimensions by cropping/clipping to fit.
* - `contain`: Preserving aspect ratio, contain within both provided dimensions using "letterboxing" where necessary.
* - `fill`: Ignore the aspect ratio of the input and stretch to both provided dimensions.
* - `inside`: Preserving aspect ratio, resize the image to be as large as possible while ensuring its dimensions are less than or equal to both those specified.
* - `outside`: Preserving aspect ratio, resize the image to be as small as possible while ensuring its dimensions are greater than or equal to both those specified.
*
* Some of these values are based on the [object-fit](https://developer.mozilla.org/en-US/docs/Web/CSS/object-fit) CSS property.
*
* When using a `fit` of `cover` or `contain`, the default **position** is `centre`. Other options are:
* - `sharp.position`: `top`, `right top`, `right`, `right bottom`, `bottom`, `left bottom`, `left`, `left top`.
* - `sharp.gravity`: `north`, `northeast`, `east`, `southeast`, `south`, `southwest`, `west`, `northwest`, `center` or `centre`.
* - `sharp.strategy`: `cover` only, dynamically crop using either the `entropy` or `attention` strategy.
*
* Some of these values are based on the [object-position](https://developer.mozilla.org/en-US/docs/Web/CSS/object-position) CSS property.
*
* The experimental strategy-based approach resizes so one dimension is at its target length
* then repeatedly ranks edge regions, discarding the edge with the lowest score based on the selected strategy.
* - `entropy`: focus on the region with the highest [Shannon entropy](https://en.wikipedia.org/wiki/Entropy_%28information_theory%29).
* - `attention`: focus on the region with the highest luminance frequency, colour saturation and presence of skin tones.
*
* Possible interpolation kernels are:
* - `nearest`: Use [nearest neighbour interpolation](http://en.wikipedia.org/wiki/Nearest-neighbor_interpolation).
* - `cubic`: Use a [Catmull-Rom spline](https://en.wikipedia.org/wiki/Centripetal_Catmull%E2%80%93Rom_spline).
* - `mitchell`: Use a [Mitchell-Netravali spline](https://www.cs.utexas.edu/~fussell/courses/cs384g-fall2013/lectures/mitchell/Mitchell.pdf).
* - `lanczos2`: Use a [Lanczos kernel](https://en.wikipedia.org/wiki/Lanczos_resampling#Lanczos_kernel) with `a=2`.
* - `lanczos3`: Use a Lanczos kernel with `a=3` (the default).
*
* @example
* sharp(input)
* .resize({ width: 100 })
* .toBuffer()
* .then(data => {
* // 100 pixels wide, auto-scaled height
* });
*
* @example
* sharp(input)
* .resize({ height: 100 })
* .toBuffer()
* .then(data => {
* // 100 pixels high, auto-scaled width
* });
*
* @example
* sharp(input)
* .resize(200, 300, {
* kernel: sharp.kernel.nearest,
* fit: 'contain',
* position: 'right top',
* background: { r: 255, g: 255, b: 255, alpha: 0.5 }
* })
* .toFile('output.png')
* .then(() => {
* // output.png is a 200 pixels wide and 300 pixels high image
* // containing a nearest-neighbour scaled version
* // contained within the north-east corner of a semi-transparent white canvas
* });
*
* @example
* const transformer = sharp()
* .resize({
* width: 200,
* height: 200,
* fit: sharp.fit.cover,
* position: sharp.strategy.entropy
* });
* // Read image data from readableStream
* // Write 200px square auto-cropped image data to writableStream
* readableStream
* .pipe(transformer)
* .pipe(writableStream);
*
* @example
* sharp(input)
* .resize(200, 200, {
* fit: sharp.fit.inside,
* withoutEnlargement: true
* })
* .toFormat('jpeg')
* .toBuffer()
* .then(function(outputBuffer) {
* // outputBuffer contains JPEG image data
* // no wider and no higher than 200 pixels
* // and no larger than the input image
* });
*
* @example
* const scaleByHalf = await sharp(input)
* .metadata()
* .then(({ width }) => sharp(input)
* .resize(Math.round(width * 0.5))
* .toBuffer()
* );
*
* @param {number} [width] - pixels wide the resultant image should be. Use `null` or `undefined` to auto-scale the width to match the height.
* @param {number} [height] - pixels high the resultant image should be. Use `null` or `undefined` to auto-scale the height to match the width.
* @param {Object} [options]
* @param {String} [options.width] - alternative means of specifying `width`. If both are present this take priority.
* @param {String} [options.height] - alternative means of specifying `height`. If both are present this take priority.
* @param {String} [options.fit='cover'] - how the image should be resized to fit both provided dimensions, one of `cover`, `contain`, `fill`, `inside` or `outside`.
* @param {String} [options.position='centre'] - position, gravity or strategy to use when `fit` is `cover` or `contain`.
* @param {String|Object} [options.background={r: 0, g: 0, b: 0, alpha: 1}] - background colour when using a `fit` of `contain`, parsed by the [color](https://www.npmjs.org/package/color) module, defaults to black without transparency.
* @param {String} [options.kernel='lanczos3'] - the kernel to use for image reduction.
* @param {Boolean} [options.withoutEnlargement=false] - do not enlarge if the width *or* height are already less than the specified dimensions, equivalent to GraphicsMagick's `>` geometry option.
* @param {Boolean} [options.fastShrinkOnLoad=true] - take greater advantage of the JPEG and WebP shrink-on-load feature, which can lead to a slight moiré pattern on some images.
* @returns {Sharp}
* @throws {Error} Invalid parameters
*/
function resize (width, height, options) {
if (is.defined(width)) {
if (is.object(width) && !is.defined(options)) {
options = width;
} else if (is.integer(width) && width > 0) {
this.options.width = width;
} else {
throw is.invalidParameterError('width', 'positive integer', width);
}
} else {
this.options.width = -1;
}
if (is.defined(height)) {
if (is.integer(height) && height > 0) {
this.options.height = height;
} else {
throw is.invalidParameterError('height', 'positive integer', height);
}
} else {
this.options.height = -1;
}
if (is.object(options)) {
// Width
if (is.defined(options.width)) {
if (is.integer(options.width) && options.width > 0) {
this.options.width = options.width;
} else {
throw is.invalidParameterError('width', 'positive integer', options.width);
}
}
// Height
if (is.defined(options.height)) {
if (is.integer(options.height) && options.height > 0) {
this.options.height = options.height;
} else {
throw is.invalidParameterError('height', 'positive integer', options.height);
}
}
// Fit
if (is.defined(options.fit)) {
const canvas = mapFitToCanvas[options.fit];
if (is.string(canvas)) {
this.options.canvas = canvas;
} else {
throw is.invalidParameterError('fit', 'valid fit', options.fit);
}
}
// Position
if (is.defined(options.position)) {
const pos = is.integer(options.position)
? options.position
: strategy[options.position] || position[options.position] || gravity[options.position];
if (is.integer(pos) && (is.inRange(pos, 0, 8) || is.inRange(pos, 16, 17))) {
this.options.position = pos;
} else {
throw is.invalidParameterError('position', 'valid position/gravity/strategy', options.position);
}
}
// Background
this._setBackgroundColourOption('resizeBackground', options.background);
// Kernel
if (is.defined(options.kernel)) {
if (is.string(kernel[options.kernel])) {
this.options.kernel = kernel[options.kernel];
} else {
throw is.invalidParameterError('kernel', 'valid kernel name', options.kernel);
}
}
// Without enlargement
if (is.defined(options.withoutEnlargement)) {
this._setBooleanOption('withoutEnlargement', options.withoutEnlargement);
}
// Shrink on load
if (is.defined(options.fastShrinkOnLoad)) {
this._setBooleanOption('fastShrinkOnLoad', options.fastShrinkOnLoad);
}
}
return this;
}
/**
* Extends/pads the edges of the image with the provided background colour.
* This operation will always occur after resizing and extraction, if any.
*
* @example
* // Resize to 140 pixels wide, then add 10 transparent pixels
* // to the top, left and right edges and 20 to the bottom edge
* sharp(input)
* .resize(140)
* .extend({
* top: 10,
* bottom: 20,
* left: 10,
* right: 10,
* background: { r: 0, g: 0, b: 0, alpha: 0 }
* })
* ...
*
* @example
* // Add a row of 10 red pixels to the bottom
* sharp(input)
* .extend({
* bottom: 10,
* background: 'red'
* })
* ...
*
* @param {(number|Object)} extend - single pixel count to add to all edges or an Object with per-edge counts
* @param {number} [extend.top=0]
* @param {number} [extend.left=0]
* @param {number} [extend.bottom=0]
* @param {number} [extend.right=0]
* @param {String|Object} [extend.background={r: 0, g: 0, b: 0, alpha: 1}] - background colour, parsed by the [color](https://www.npmjs.org/package/color) module, defaults to black without transparency.
* @returns {Sharp}
* @throws {Error} Invalid parameters
*/
function extend (extend) {
if (is.integer(extend) && extend > 0) {
this.options.extendTop = extend;
this.options.extendBottom = extend;
this.options.extendLeft = extend;
this.options.extendRight = extend;
} else if (is.object(extend)) {
if (is.defined(extend.top)) {
if (is.integer(extend.top) && extend.top >= 0) {
this.options.extendTop = extend.top;
} else {
throw is.invalidParameterError('top', 'positive integer', extend.top);
}
}
if (is.defined(extend.bottom)) {
if (is.integer(extend.bottom) && extend.bottom >= 0) {
this.options.extendBottom = extend.bottom;
} else {
throw is.invalidParameterError('bottom', 'positive integer', extend.bottom);
}
}
if (is.defined(extend.left)) {
if (is.integer(extend.left) && extend.left >= 0) {
this.options.extendLeft = extend.left;
} else {
throw is.invalidParameterError('left', 'positive integer', extend.left);
}
}
if (is.defined(extend.right)) {
if (is.integer(extend.right) && extend.right >= 0) {
this.options.extendRight = extend.right;
} else {
throw is.invalidParameterError('right', 'positive integer', extend.right);
}
}
this._setBackgroundColourOption('extendBackground', extend.background);
} else {
throw is.invalidParameterError('extend', 'integer or object', extend);
}
return this;
}
/**
* Extract/crop a region of the image.
*
* - Use `extract` before `resize` for pre-resize extraction.
* - Use `extract` after `resize` for post-resize extraction.
* - Use `extract` before and after for both.
*
* @example
* sharp(input)
* .extract({ left: left, top: top, width: width, height: height })
* .toFile(output, function(err) {
* // Extract a region of the input image, saving in the same format.
* });
* @example
* sharp(input)
* .extract({ left: leftOffsetPre, top: topOffsetPre, width: widthPre, height: heightPre })
* .resize(width, height)
* .extract({ left: leftOffsetPost, top: topOffsetPost, width: widthPost, height: heightPost })
* .toFile(output, function(err) {
* // Extract a region, resize, then extract from the resized image
* });
*
* @param {Object} options - describes the region to extract using integral pixel values
* @param {number} options.left - zero-indexed offset from left edge
* @param {number} options.top - zero-indexed offset from top edge
* @param {number} options.width - width of region to extract
* @param {number} options.height - height of region to extract
* @returns {Sharp}
* @throws {Error} Invalid parameters
*/
function extract (options) {
const suffix = this.options.width === -1 && this.options.height === -1 ? 'Pre' : 'Post';
['left', 'top', 'width', 'height'].forEach(function (name) {
const value = options[name];
if (is.integer(value) && value >= 0) {
this.options[name + (name === 'left' || name === 'top' ? 'Offset' : '') + suffix] = value;
} else {
throw is.invalidParameterError(name, 'integer', value);
}
}, this);
// Ensure existing rotation occurs before pre-resize extraction
if (suffix === 'Pre' && isRotationExpected(this.options)) {
this.options.rotateBeforePreExtract = true;
}
return this;
}
/**
* Trim "boring" pixels from all edges that contain values similar to the top-left pixel.
* Images consisting entirely of a single colour will calculate "boring" using the alpha channel, if any.
*
* The `info` response Object, obtained from callback of `.toFile()` or `.toBuffer()`,
* will contain `trimOffsetLeft` and `trimOffsetTop` properties.
*
* @param {number} [threshold=10] the allowed difference from the top-left pixel, a number greater than zero.
* @returns {Sharp}
* @throws {Error} Invalid parameters
*/
function trim (threshold) {
if (!is.defined(threshold)) {
this.options.trimThreshold = 10;
} else if (is.number(threshold) && threshold > 0) {
this.options.trimThreshold = threshold;
} else {
throw is.invalidParameterError('threshold', 'number greater than zero', threshold);
}
if (this.options.trimThreshold && isRotationExpected(this.options)) {
this.options.rotateBeforePreExtract = true;
}
return this;
}
/**
* Decorate the Sharp prototype with resize-related functions.
* @private
*/
module.exports = function (Sharp) {
Object.assign(Sharp.prototype, {
resize,
extend,
extract,
trim
});
// Class attributes
Sharp.gravity = gravity;
Sharp.strategy = strategy;
Sharp.kernel = kernel;
Sharp.fit = fit;
Sharp.position = position;
};