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feature: min
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@ -332,6 +332,12 @@ Preserving aspect ratio, resize the image to the maximum `width` or `height` spe
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Both `width` and `height` must be provided via `resize` otherwise the behaviour will default to `crop`.
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#### min()
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Preserving aspect ratio, resize the image to the minimum `width` or `height` specified.
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Both `width` and `height` must be provided via `resize` otherwise the behaviour will default to `crop`.
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#### background(rgba)
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Set the background for the `embed` and `flatten` operations.
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13
index.js
13
index.js
@ -41,7 +41,7 @@ var Sharp = function(input) {
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heightPost: -1,
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width: -1,
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height: -1,
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canvas: 'c',
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canvas: 'crop',
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gravity: 0,
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angle: 0,
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rotateBeforePreExtract: false,
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@ -136,7 +136,7 @@ Sharp.prototype._write = function(chunk, encoding, callback) {
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module.exports.gravity = {'center': 0, 'centre': 0, 'north': 1, 'east': 2, 'south': 3, 'west': 4};
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Sharp.prototype.crop = function(gravity) {
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this.options.canvas = 'c';
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this.options.canvas = 'crop';
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if (typeof gravity === 'number' && !Number.isNaN(gravity) && gravity >= 0 && gravity <= 4) {
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this.options.gravity = gravity;
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} else {
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@ -176,12 +176,17 @@ Sharp.prototype.background = function(rgba) {
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};
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Sharp.prototype.embed = function() {
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this.options.canvas = 'e';
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this.options.canvas = 'embed';
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return this;
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};
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Sharp.prototype.max = function() {
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this.options.canvas = 'm';
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this.options.canvas = 'max';
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return this;
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};
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Sharp.prototype.min = function() {
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this.options.canvas = 'min';
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return this;
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};
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@ -12,7 +12,8 @@
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"Amit Pitaru <pitaru.amit@gmail.com>",
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"Brandon Aaron <hello.brandon@aaron.sh>",
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"Andreas Lind <andreas@one.com>",
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"Maurus Cuelenaere <mcuelenaere@gmail.com>"
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"Maurus Cuelenaere <mcuelenaere@gmail.com>",
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"Linus Unnebäck <linus@folkdatorn.se>"
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],
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"description": "High performance Node.js module to resize JPEG, PNG, WebP and TIFF images using the libvips library",
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"scripts": {
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@ -37,8 +37,9 @@ using sharp::counterQueue;
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enum class Canvas {
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CROP,
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EMBED,
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MAX,
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EMBED
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MIN
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};
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enum class Angle {
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@ -252,14 +253,29 @@ class ResizeWorker : public NanAsyncWorker {
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// Fixed width and height
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double xfactor = static_cast<double>(inputWidth) / static_cast<double>(baton->width);
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double yfactor = static_cast<double>(inputHeight) / static_cast<double>(baton->height);
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factor = (baton->canvas == Canvas::CROP) ? std::min(xfactor, yfactor) : std::max(xfactor, yfactor);
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// if max is set, we need to compute the real size of the thumb image
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if (baton->canvas == Canvas::MAX) {
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if (xfactor > yfactor) {
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baton->height = round(static_cast<double>(inputHeight) / xfactor);
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} else {
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baton->width = round(static_cast<double>(inputWidth) / yfactor);
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}
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switch (baton->canvas) {
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case Canvas::CROP:
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factor = std::min(xfactor, yfactor);
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break;
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case Canvas::EMBED:
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factor = std::max(xfactor, yfactor);
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break;
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case Canvas::MAX:
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factor = std::max(xfactor, yfactor);
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if (xfactor > yfactor) {
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baton->height = round(static_cast<double>(inputHeight) / xfactor);
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} else {
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baton->width = round(static_cast<double>(inputWidth) / yfactor);
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}
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break;
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case Canvas::MIN:
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factor = std::min(xfactor, yfactor);
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if (xfactor < yfactor) {
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baton->height = round(static_cast<double>(inputHeight) / xfactor);
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} else {
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baton->width = round(static_cast<double>(inputWidth) / yfactor);
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}
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break;
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}
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} else if (baton->width > 0) {
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// Fixed width, auto height
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@ -549,7 +565,7 @@ class ResizeWorker : public NanAsyncWorker {
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vips_object_local(hook, embedded);
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image = embedded;
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} else {
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// Crop/max
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// Crop/max/min
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int left;
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int top;
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std::tie(left, top) = CalculateCrop(image->Xsize, image->Ysize, baton->width, baton->height, baton->gravity);
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@ -963,12 +979,14 @@ NAN_METHOD(resize) {
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baton->height = options->Get(NanNew<String>("height"))->Int32Value();
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// Canvas option
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Local<String> canvas = options->Get(NanNew<String>("canvas"))->ToString();
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if (canvas->Equals(NanNew<String>("c"))) {
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if (canvas->Equals(NanNew<String>("crop"))) {
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baton->canvas = Canvas::CROP;
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} else if (canvas->Equals(NanNew<String>("m"))) {
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baton->canvas = Canvas::MAX;
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} else if (canvas->Equals(NanNew<String>("e"))) {
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} else if (canvas->Equals(NanNew<String>("embed"))) {
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baton->canvas = Canvas::EMBED;
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} else if (canvas->Equals(NanNew<String>("max"))) {
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baton->canvas = Canvas::MAX;
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} else if (canvas->Equals(NanNew<String>("min"))) {
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baton->canvas = Canvas::MIN;
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}
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// Background colour
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Local<Array> background = Local<Array>::Cast(options->Get(NanNew<String>("background")));
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@ -185,6 +185,39 @@ describe('Resize dimensions', function() {
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});
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});
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it('Min width or height considering ratio (landscape)', function(done) {
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sharp(fixtures.inputJpg).resize(320, 320).min().toBuffer(function(err, data, info) {
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if (err) throw err;
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assert.strictEqual(true, data.length > 0);
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assert.strictEqual('jpeg', info.format);
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assert.strictEqual(392, info.width);
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assert.strictEqual(320, info.height);
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done();
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});
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});
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it('Min width or height considering ratio (portrait)', function(done) {
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sharp(fixtures.inputTiff).resize(320, 320).min().jpeg().toBuffer(function(err, data, info) {
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if (err) throw err;
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assert.strictEqual(true, data.length > 0);
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assert.strictEqual('jpeg', info.format);
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assert.strictEqual(320, info.width);
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assert.strictEqual(422, info.height);
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done();
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});
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});
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it('Provide only one dimension with min, should default to crop', function(done) {
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sharp(fixtures.inputJpg).resize(320).min().toBuffer(function(err, data, info) {
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if (err) throw err;
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assert.strictEqual(true, data.length > 0);
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assert.strictEqual('jpeg', info.format);
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assert.strictEqual(320, info.width);
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assert.strictEqual(261, info.height);
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done();
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});
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});
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it('Do not enlarge when input width is already less than output width', function(done) {
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sharp(fixtures.inputJpg)
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.resize(2800)
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