Compare commits

..

8 Commits

9 changed files with 695 additions and 247 deletions

1
.gitignore vendored
View File

@@ -13,5 +13,6 @@ results
build
node_modules
tests/output.jpg
tests/output.png
npm-debug.log

View File

@@ -1,8 +0,0 @@
language: node_js
node_js:
- "0.11"
- "0.10"
before_install:
- sudo apt-get update -qq
- sudo apt-get install -qq libvips-dev imagemagick
- sudo ln -s /usr/lib/pkgconfig/vips-7.26.pc /usr/lib/pkgconfig/vips.pc

151
README.md
View File

@@ -1,4 +1,4 @@
# sharp
# sharp
_adj_
@@ -7,28 +7,18 @@ _adj_
3. shrewd or astute: a sharp bargainer.
4. (Informal.) very stylish: a sharp dresser; a sharp jacket.
The typical use case for this high speed Node.js module is to convert a large JPEG image to smaller JPEG images of varying dimensions.
The typical use case for this high speed Node.js module is to convert large JPEG and PNG images to smaller JPEG and PNG images of varying dimensions.
It is somewhat opinionated in that it only deals with JPEG images, always obeys the requested dimensions by either cropping or embedding and insists on a mild sharpen of the resulting image.
The performance of JPEG resizing is typically 15x-25x faster than ImageMagick and GraphicsMagick, based mainly on the number of CPU cores available.
Under the hood you'll find the blazingly fast [libvips](https://github.com/jcupitt/libvips) image processing library, originally created in 1989 at Birkbeck College and currently maintained by the University of Southampton.
Performance is 4x-8x faster than ImageMagick and 2x-4x faster than GraphicsMagick, based mainly on the number of CPU cores available.
Under the hood you'll find the blazingly fast [libvips](https://github.com/jcupitt/libvips) image processing library, originally created in 1989 at Birkbeck College and currently maintained by John Cupitt.
## Prerequisites
* Node.js v0.8+
* node-gyp
* libvips-dev 7.28+
* [libvips](https://github.com/jcupitt/libvips) v7.38+
```
sudo npm install -g node-gyp
sudo apt-get install libvips-dev
```
When installed as a package, please symlink `vips-7.28.pc` (or later, installed with libvips-dev) as `/usr/lib/pkgconfig/vips.pc`. To do this in Ubuntu 13.04 (64-bit), use:
sudo ln -s /usr/lib/x86_64-linux-gnu/pkgconfig/vips-7.28.pc /usr/lib/pkgconfig/vips.pc
For the sharpest results, please compile libvips from source.
## Install
@@ -38,14 +28,31 @@ When installed as a package, please symlink `vips-7.28.pc` (or later, installed
var sharp = require("sharp");
### crop(inputPath, outputPath, width, height, callback)
### resize(input, output, width, height, [options], callback)
Scale and crop JPEG `inputPath` to `width` x `height` and write JPEG to `outputPath` calling `callback` when complete.
Scale and crop to `width` x `height` calling `callback` when complete.
Example:
`input` can either be a filename String or a Buffer. When using a filename libvips will `mmap` the file for improved performance.
`output` can either be a filename String or one of `sharp.buffer.jpeg` or `sharp.buffer.png` to pass a Buffer containing image data to `callback`.
`width` is the Number of pixels wide the resultant image should be.
`height` is the Number of pixels high the resultant image should be.
`options` is optional, and can contain one or more of:
* `canvas` can be one of `sharp.canvas.crop`, `sharp.canvas.embedWhite` or `sharp.canvas.embedBlack`. Defaults to `sharp.canvas.crop`.
* `sharpen` when set to true will perform a mild sharpen of the resultant image. This typically reduces performance by 30%.
* `progressive` when set will use progressive (interlace) scan for the output. This typically reduces performance by 30%.
* `sequentialRead` is an advanced setting that, when set, switches the libvips access method to `VIPS_ACCESS_SEQUENTIAL`. This will reduce memory usage and can improve performance on some systems.
`callback` gets two arguments `(err, buffer)` where `err` is an error message, if any, and `buffer` is the resultant image data when a Buffer is requested.
### Examples
```javascript
sharp.crop("input.jpg", "output.jpg", 300, 200, function(err) {
sharp.resize("input.jpg", "output.jpg", 300, 200, function(err) {
if (err) {
throw err;
}
@@ -54,64 +61,104 @@ sharp.crop("input.jpg", "output.jpg", 300, 200, function(err) {
});
```
### embedWhite(inputPath, outputPath, width, height, callback)
Scale and embed JPEG `inputPath` to `width` x `height` using a white canvas and write JPEG to `outputPath` calling `callback` when complete.
```javascript
sharp.embedWhite("input.jpg", "output.jpg", 200, 300, function(err) {
sharp.resize("input.jpg", sharp.buffer.jpeg, 300, 200, {progressive: true}, function(err, buffer) {
if (err) {
throw err;
}
// output.jpg is a 200 pixels wide and 300 pixels high image
// containing a scaled version of input.jpg embedded on a white canvas
// buffer contains progressive JPEG image data
});
```
### embedBlack(inputPath, outputPath, width, height, callback)
Scale and embed JPEG `inputPath` to `width` x `height` using a black canvas and write JPEG to `outputPath` calling `callback` when complete.
```javascript
sharp.embedBlack("input.jpg", "output.jpg", 200, 300, function(err) {
sharp.resize("input.jpg", sharp.buffer.png, 300, 200, {sharpen: true}, function(err, buffer) {
if (err) {
throw err;
}
// output.jpg is a 200 pixels wide and 300 pixels high image
// containing a scaled version of input.jpg embedded on a black canvas
// buffer contains sharpened PNG image data (converted from JPEG)
});
```
```javascript
sharp.resize(buffer, "output.jpg", 200, 300, {canvas: sharp.canvas.embedWhite}, function(err) {
if (err) {
throw err;
}
// output.jpg is a 200 pixels wide and 300 pixels high image containing a scaled version
// of the image data contained in buffer embedded on a white canvas
});
```
```javascript
sharp.resize("input.jpg", sharp.buffer.jpeg, 200, 300, {canvas: sharp.canvas.embedBlack}, function(err, buffer) {
if (err) {
throw err;
}
// buffer contains JPEG image data of a 200 pixels wide and 300 pixels high image
// containing a scaled version of input.png embedded on a black canvas
});
```
## Testing
npm install --dev sharp
npm test
## Performance
### AMD Athlon 4x core 3.3GHz 512KB L2
Test environment:
* imagemagick x 5.55 ops/sec ±0.45% (31 runs sampled)
* gm x 10.31 ops/sec ±3.57% (53 runs sampled)
* epeg x 27.79 ops/sec ±0.12% (69 runs sampled)
* sharp x 31.52 ops/sec ±8.74% (80 runs sampled)
* AMD Athlon 4 core 3.3GHz 512KB L2 CPU 1333 DDR3
* libvips 7.37
* libjpeg-turbo8 1.3.0
* libpng 1.6.6
* zlib1g 1.2.7
### AWS t1.micro
`-file-buffer` indicates read from file and write to buffer, `-buffer-file` indicates read from buffer and write to file etc.
* imagemagick x 1.36 ops/sec ±0.96% (11 runs sampled)
* sharp x 12.42 ops/sec ±5.84% (64 runs sampled)
`-sharpen`, `-progressive` etc. demonstrate the negative effect of options on performance.
### AWS m1.medium
### JPEG
* imagemagick x 1.38 ops/sec ±0.45% (11 runs sampled)
* sharp x 12.66 ops/sec ±5.54% (65 runs sampled)
* imagemagick x 5.53 ops/sec ±0.62% (31 runs sampled)
* gm-file-file x 4.10 ops/sec ±0.41% (25 runs sampled)
* gm-file-buffer x 4.10 ops/sec ±0.36% (25 runs sampled)
* epeg-file-file x 23.82 ops/sec ±0.18% (60 runs sampled)
* epeg-file-buffer x 23.98 ops/sec ±0.16% (61 runs sampled)
### AWS c1.medium
* sharp-buffer-file x 20.76 ops/sec ±0.55% (54 runs sampled)
* sharp-buffer-buffer x 20.90 ops/sec ±0.26% (54 runs sampled)
* sharp-file-file x 91.78 ops/sec ±0.38% (88 runs sampled)
* sharp-file-buffer x __93.05 ops/sec__ ±0.61% (76 runs sampled)
* imagemagick x 2.10 ops/sec ±0.67% (15 runs sampled)
* sharp x 18.97 ops/sec ±10.54% (52 runs sampled)
* sharp-file-buffer-sharpen x 63.09 ops/sec ±5.58% (63 runs sampled)
* sharp-file-buffer-progressive x 61.68 ops/sec ±0.53% (76 runs sampled)
* sharp-file-buffer-sequentialRead x 60.66 ops/sec ±0.38% (75 runs sampled)
### AWS m3.xlarge
### PNG
* imagemagick x 4.46 ops/sec ±0.33% (26 runs sampled)
* sharp x 28.89 ops/sec ±7.75% (74 runs sampled)
* imagemagick x 4.27 ops/sec ±0.21% (25 runs sampled)
* gm-file-file x 8.33 ops/sec ±0.19% (44 runs sampled)
* gm-file-buffer x 7.45 ops/sec ±0.16% (40 runs sampled)
* sharp-buffer-file x 4.94 ops/sec ±118.46% (26 runs sampled)
* sharp-buffer-buffer x 12.59 ops/sec ±0.55% (64 runs sampled)
* sharp-file-file x 44.06 ops/sec ±6.86% (75 runs sampled)
* sharp-file-buffer x __46.29 ops/sec__ ±0.38% (76 runs sampled)
* sharp-file-buffer-sharpen x 38.86 ops/sec ±0.22% (65 runs sampled)
* sharp-file-buffer-progressive x 46.35 ops/sec ±0.20% (76 runs sampled)
* sharp-file-buffer-sequentialRead x 29.02 ops/sec ±0.62% (72 runs sampled)
## Licence
Copyright 2013, 2014 Lovell Fuller
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](http://www.apache.org/licenses/LICENSE-2.0.html)
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.

View File

@@ -11,7 +11,7 @@
'/usr/lib/glib-2.0/include',
'/usr/lib/x86_64-linux-gnu/glib-2.0/include'
],
'cflags': ['-fexceptions'],
'cflags_cc': ['-fexceptions']
'cflags': ['-fexceptions', '-O3'],
'cflags_cc': ['-fexceptions', '-O3']
}]
}

View File

@@ -1,13 +1,64 @@
var sharp = require("./build/Release/sharp");
module.exports.crop = function(input, output, width, height, callback) {
sharp.resize(input, output, width, height, "c", callback)
}
module.exports.buffer = {
jpeg: "__jpeg",
png: "__png"
};
module.exports.canvas = {
crop: "c",
embedWhite: "w",
embedBlack: "b"
};
module.exports.resize = function(input, output, width, height, options, callback) {
"use strict";
if (typeof options === 'function') {
callback = options;
options = {};
} else {
options = options || {};
}
if (typeof input === 'string') {
options.inFile = input;
} else if (typeof input ==='object' && input instanceof Buffer) {
options.inBuffer = input;
} else {
callback("Unsupported input " + typeof input);
return;
}
if (!output || output.length === 0) {
callback("Invalid output");
return;
}
var outWidth = Number(width);
if (Number.isNaN(outWidth)) {
callback("Invalid width " + width);
return;
}
var outHeight = Number(height);
if (Number.isNaN(outHeight)) {
callback("Invalid height " + height);
return;
}
var canvas = options.canvas || "c";
if (canvas.length !== 1 || "cwb".indexOf(canvas) === -1) {
callback("Invalid canvas " + canvas);
return;
}
var sharpen = !!options.sharpen;
var progessive = !!options.progessive;
var sequentialRead = !!options.sequentialRead;
sharp.resize(options.inFile, options.inBuffer, output, width, height, canvas, sharpen, progessive, sequentialRead, callback);
};
/* Deprecated v0.0.x methods */
module.exports.crop = function(input, output, width, height, sharpen, callback) {
sharp.resize(input, output, width, height, {canvas: "c", sharpen: true}, callback);
};
module.exports.embedWhite = function(input, output, width, height, callback) {
sharp.resize(input, output, width, height, "w", callback)
}
sharp.resize(input, output, width, height, {canvas: "w", sharpen: true}, callback);
};
module.exports.embedBlack = function(input, output, width, height, callback) {
sharp.resize(input, output, width, height, "b", callback)
}
sharp.resize(input, output, width, height, {canvas: "b", sharpen: true}, callback);
};

View File

@@ -1,34 +1,37 @@
{
"name": "sharp",
"version": "0.0.4",
"version": "0.1.1",
"author": "Lovell Fuller",
"description": "High performance module to resize JPEG and PNG images using the libvips image processing library",
"scripts": {
"test": "node tests/perf.js"
},
"main": "index.js",
"description": "High performance Node.js module to resize JPEG images using the libvips image processing library",
"repository": {
"type": "git",
"url": "git://github.com/lovell/sharp"
},
"devDependencies": {
"imagemagick": "*",
"gm": "*",
"epeg": "*",
"benchmark": "*"
},
"scripts": {
"test": "node tests/perf.js"
},
"engines": {
"node": ">=0.8"
},
"keywords": [
"jpeg",
"png",
"resize",
"thumbnail",
"sharpen",
"crop",
"embed",
"libvips",
"fast"
"fast",
"buffer"
],
"author": "Lovell Fuller",
"license": "Apache 2.0"
"devDependencies": {
"imagemagick": "*",
"gm": "*",
"epeg": "*",
"async": "*",
"benchmark": "*"
},
"license": "Apache 2.0",
"engines": {
"node": ">=0.8"
}
}

View File

@@ -1,173 +1,292 @@
#include <node.h>
#include <node_buffer.h>
#include <math.h>
#include <string>
#include <vector>
#include <string.h>
#include <vips/vips.h>
using namespace v8;
using namespace node;
// Free VipsImage children when object goes out of scope
// Thanks due to https://github.com/dosx/node-vips
class ImageFreer {
public:
ImageFreer() {}
~ImageFreer() {
for (uint16_t i = 0; i < v_.size(); i++) {
if (v_[i] != NULL) {
g_object_unref(v_[i]);
}
}
v_.clear();
}
void add(VipsImage* i) { v_.push_back(i); }
private:
std::vector<VipsImage*> v_;
};
struct ResizeBaton {
std::string src;
std::string dst;
int cols;
int rows;
struct resize_baton {
std::string file_in;
void* buffer_in;
size_t buffer_in_len;
std::string file_out;
void* buffer_out;
size_t buffer_out_len;
int width;
int height;
bool crop;
int embed;
VipsExtend extend;
bool sharpen;
bool progessive;
VipsAccess access_method;
std::string err;
Persistent<Function> callback;
resize_baton(): buffer_in_len(0), buffer_out_len(0) {}
};
void ResizeAsync(uv_work_t *work) {
ResizeBaton* baton = static_cast<ResizeBaton*>(work->data);
typedef enum {
JPEG,
PNG
} ImageType;
VipsImage *in = vips_image_new_mode((baton->src).c_str(), "p");
vips_jpegload((baton->src).c_str(), &in, NULL);
if (in == NULL) {
(baton->err).append(vips_error_buffer());
vips_error_clear();
return;
}
ImageFreer freer;
freer.add(in);
unsigned char MARKER_JPEG[] = {0xff, 0xd8};
unsigned char MARKER_PNG[] = {0x89, 0x50};
VipsImage* img = in;
VipsImage* t[4];
bool ends_with(std::string const &str, std::string const &end) {
return str.length() >= end.length() && 0 == str.compare(str.length() - end.length(), end.length(), end);
}
if (im_open_local_array(img, t, 4, "temp", "p")) {
(baton->err).append(vips_error_buffer());
vips_error_clear();
bool is_jpeg(std::string const &str) {
return ends_with(str, ".jpg") || ends_with(str, ".jpeg");
}
bool is_png(std::string const &str) {
return ends_with(str, ".png");
}
void resize_error(resize_baton *baton, VipsImage *unref) {
(baton->err).append(vips_error_buffer());
vips_error_clear();
g_object_unref(unref);
vips_thread_shutdown();
return;
}
void resize_async(uv_work_t *work) {
resize_baton* baton = static_cast<resize_baton*>(work->data);
ImageType inputImageType = JPEG;
VipsImage *in = vips_image_new();
if (baton->buffer_in_len > 1) {
if (memcmp(MARKER_JPEG, baton->buffer_in, 2) == 0) {
if (vips_jpegload_buffer(baton->buffer_in, baton->buffer_in_len, &in, "access", baton->access_method, NULL)) {
return resize_error(baton, in);
}
} else if(memcmp(MARKER_PNG, baton->buffer_in, 2) == 0) {
inputImageType = PNG;
if (vips_pngload_buffer(baton->buffer_in, baton->buffer_in_len, &in, "access", baton->access_method, NULL)) {
return resize_error(baton, in);
}
}
} else if (is_jpeg(baton->file_in)) {
if (vips_jpegload((baton->file_in).c_str(), &in, "access", baton->access_method, NULL)) {
return resize_error(baton, in);
}
} else if (is_png(baton->file_in)) {
inputImageType = PNG;
if (vips_pngload((baton->file_in).c_str(), &in, "access", baton->access_method, NULL)) {
return resize_error(baton, in);
}
} else {
resize_error(baton, in);
(baton->err).append("Unsupported input " + baton->file_in);
return;
}
double xfactor = static_cast<double>(img->Xsize) / std::max(baton->cols, 1);
double yfactor = static_cast<double>(img->Ysize) / std::max(baton->rows, 1);
double xfactor = static_cast<double>(in->Xsize) / std::max(baton->width, 1);
double yfactor = static_cast<double>(in->Ysize) / std::max(baton->height, 1);
double factor = baton->crop ? std::min(xfactor, yfactor) : std::max(xfactor, yfactor);
factor = std::max(factor, 1.0);
int shrink = floor(factor);
double residual = shrink / factor;
// Use im_shrink with the integral reduction
if (im_shrink(img, t[0], shrink, shrink)) {
(baton->err).append(vips_error_buffer());
vips_error_clear();
return;
}
// Use im_affinei with the remaining float part using bilinear interpolation
if (im_affinei_all(t[0], t[1], vips_interpolate_bilinear_static(), residual, 0, 0, residual, 0, 0)) {
(baton->err).append(vips_error_buffer());
vips_error_clear();
return;
}
img = t[1];
if (baton->crop) {
int width = std::min(img->Xsize, baton->cols);
int height = std::min(img->Ysize, baton->rows);
int left = (img->Xsize - width + 1) / 2;
int top = (img->Ysize - height + 1) / 2;
if (im_extract_area(img, t[2], left, top, width, height)) {
(baton->err).append(vips_error_buffer());
vips_error_clear();
return;
// Try to use libjpeg shrink-on-load
int shrink_on_load = 1;
if (inputImageType == JPEG) {
if (shrink >= 8) {
factor = residual * shrink / 8;
shrink_on_load = 8;
shrink = floor(factor);
residual = shrink / factor;
} else if (shrink >= 4) {
factor = residual * shrink / 4;
shrink_on_load = 4;
shrink = floor(factor);
residual = shrink / factor;
} else if (shrink >= 2) {
factor = residual * shrink / 2;
shrink_on_load = 2;
shrink = floor(factor);
residual = shrink / factor;
}
if (shrink_on_load > 1) {
g_object_unref(in);
in = vips_image_new();
if (baton->buffer_in_len > 1) {
if (vips_jpegload_buffer(baton->buffer_in, baton->buffer_in_len, &in, "shrink", shrink_on_load, NULL)) {
return resize_error(baton, in);
}
} else {
if (vips_jpegload((baton->file_in).c_str(), &in, "shrink", shrink_on_load, NULL)) {
return resize_error(baton, in);
}
}
}
}
VipsImage *shrunk = vips_image_new();
if (shrink > 1) {
// Use vips_shrink with the integral reduction
if (vips_shrink(in, &shrunk, shrink, shrink, NULL)) {
return resize_error(baton, in);
}
img = t[2];
} else {
int left = (baton->cols - img->Xsize) / 2;
int top = (baton->rows - img->Ysize) / 2;
if (im_embed(img, t[2], baton->embed, left, top, baton->cols, baton->rows)) {
(baton->err).append(vips_error_buffer());
vips_error_clear();
return;
}
img = t[2];
vips_copy(in, &shrunk, NULL);
}
g_object_unref(in);
// Use vips_affine with the remaining float part using bilinear interpolation
VipsImage *affined = vips_image_new();
if (residual > 0) {
if (vips_affine(shrunk, &affined, residual, 0, 0, residual, "interpolate", vips_interpolate_bilinear_static(), NULL)) {
return resize_error(baton, shrunk);
}
} else {
vips_copy(shrunk, &affined, NULL);
}
g_object_unref(shrunk);
VipsImage *canvased = vips_image_new();
if (affined->Xsize != baton->width && affined->Ysize != baton->height) {
if (baton->crop && affined->Xsize != baton->width && affined->Ysize != baton->height) {
// Crop
int width = std::min(affined->Xsize, baton->width);
int height = std::min(affined->Ysize, baton->height);
int left = (affined->Xsize - width + 1) / 2;
int top = (affined->Ysize - height + 1) / 2;
if (vips_extract_area(affined, &canvased, left, top, width, height, NULL)) {
return resize_error(baton, affined);
}
} else {
// Embed
int left = (baton->width - affined->Xsize) / 2;
int top = (baton->height - affined->Ysize) / 2;
if (vips_embed(affined, &canvased, left, top, baton->width, baton->height, "extend", baton->extend, NULL)) {
return resize_error(baton, affined);
}
}
} else {
vips_copy(affined, &canvased, NULL);
}
g_object_unref(affined);
// Mild sharpen
INTMASK* sharpen = im_create_imaskv("sharpen", 3, 3,
-1, -1, -1,
-1, 32, -1,
-1, -1, -1);
sharpen->scale = 24;
if (im_conv(img, t[3], sharpen)) {
(baton->err).append(vips_error_buffer());
vips_error_clear();
return;
VipsImage *sharpened = vips_image_new();
if (baton->sharpen) {
INTMASK* sharpen = im_create_imaskv("sharpen", 3, 3,
-1, -1, -1,
-1, 32, -1,
-1, -1, -1);
sharpen->scale = 24;
if (im_conv(canvased, sharpened, sharpen)) {
return resize_error(baton, canvased);
}
} else {
vips_copy(canvased, &sharpened, NULL);
}
img = t[3];
g_object_unref(canvased);
if (vips_jpegsave(img, baton->dst.c_str(), "Q", 80, "profile", "none", "optimize_coding", TRUE, NULL)) {
(baton->err).append(vips_error_buffer());
vips_error_clear();
if (baton->file_out == "__jpeg") {
// Write JPEG to buffer
if (vips_jpegsave_buffer(canvased, &baton->buffer_out, &baton->buffer_out_len, "strip", TRUE, "Q", 80, "optimize_coding", TRUE, "interlace", baton->progessive, NULL)) {
return resize_error(baton, canvased);
}
} else if (baton->file_out == "__png") {
// Write PNG to buffer
if (vips_pngsave_buffer(canvased, &baton->buffer_out, &baton->buffer_out_len, "strip", TRUE, "compression", 6, "interlace", baton->progessive, NULL)) {
return resize_error(baton, canvased);
}
} else if (is_jpeg(baton->file_out)) {
// Write JPEG to file
if (vips_jpegsave(canvased, baton->file_out.c_str(), "strip", TRUE, "Q", 80, "optimize_coding", TRUE, "interlace", baton->progessive, NULL)) {
return resize_error(baton, canvased);
}
} else if (is_png(baton->file_out)) {
// Write PNG to file
if (vips_pngsave(canvased, baton->file_out.c_str(), "strip", TRUE, "compression", 6, "interlace", baton->progessive, NULL)) {
return resize_error(baton, canvased);
}
} else {
(baton->err).append("Unsupported output " + baton->file_out);
}
g_object_unref(canvased);
vips_thread_shutdown();
}
void ResizeAsyncAfter(uv_work_t *work, int status) {
void resize_async_after(uv_work_t *work, int status) {
HandleScope scope;
ResizeBaton *baton = static_cast<ResizeBaton*>(work->data);
resize_baton *baton = static_cast<resize_baton*>(work->data);
Local<Value> argv[1];
Handle<Value> argv[2] = { Null(), Null() };
if (!baton->err.empty()) {
// Error
argv[0] = String::New(baton->err.data(), baton->err.size());
} else {
argv[0] = Local<Value>::New(Null());
} else if (baton->buffer_out_len > 0) {
// Buffer
Buffer *slowBuffer = Buffer::New(baton->buffer_out_len);
memcpy(Buffer::Data(slowBuffer), baton->buffer_out, baton->buffer_out_len);
Local<Object> globalObj = Context::GetCurrent()->Global();
Local<Function> bufferConstructor = Local<Function>::Cast(globalObj->Get(String::New("Buffer")));
Handle<Value> constructorArgs[3] = { slowBuffer->handle_, v8::Integer::New(baton->buffer_out_len), v8::Integer::New(0) };
argv[1] = bufferConstructor->NewInstance(3, constructorArgs);
g_free(baton->buffer_out);
}
baton->callback->Call(Context::GetCurrent()->Global(), 1, argv);
baton->callback->Call(Context::GetCurrent()->Global(), 2, argv);
baton->callback.Dispose();
delete baton;
delete work;
}
Handle<Value> Resize(const Arguments& args) {
Handle<Value> resize(const Arguments& args) {
HandleScope scope;
ResizeBaton *baton = new ResizeBaton;
baton->src = *String::Utf8Value(args[0]->ToString());
baton->dst = *String::Utf8Value(args[1]->ToString());
baton->cols = args[2]->Int32Value();
baton->rows = args[3]->Int32Value();
Local<String> canvas = args[4]->ToString();
resize_baton *baton = new resize_baton;
baton->file_in = *String::Utf8Value(args[0]->ToString());
if (args[1]->IsObject()) {
Local<Object> buffer = args[1]->ToObject();
baton->buffer_in = Buffer::Data(buffer);
baton->buffer_in_len = Buffer::Length(buffer);
}
baton->file_out = *String::Utf8Value(args[2]->ToString());
baton->width = args[3]->Int32Value();
baton->height = args[4]->Int32Value();
Local<String> canvas = args[5]->ToString();
if (canvas->Equals(String::NewSymbol("c"))) {
baton->crop = true;
baton->crop = true;
} else if (canvas->Equals(String::NewSymbol("w"))) {
baton->crop = false;
baton->embed = 4;
baton->extend = VIPS_EXTEND_WHITE;
} else if (canvas->Equals(String::NewSymbol("b"))) {
baton->crop = false;
baton->embed = 0;
}
baton->callback = Persistent<Function>::New(Local<Function>::Cast(args[5]));
baton->extend = VIPS_EXTEND_BLACK;
}
baton->sharpen = args[6]->BooleanValue();
baton->progessive = args[7]->BooleanValue();
baton->access_method = args[8]->BooleanValue() ? VIPS_ACCESS_SEQUENTIAL : VIPS_ACCESS_RANDOM;
baton->callback = Persistent<Function>::New(Local<Function>::Cast(args[9]));
uv_work_t *work = new uv_work_t;
work->data = baton;
uv_queue_work(uv_default_loop(), work, ResizeAsync, (uv_after_work_cb)ResizeAsyncAfter);
return Undefined();
uv_queue_work(uv_default_loop(), work, resize_async, (uv_after_work_cb)resize_async_after);
return scope.Close(Undefined());
}
static void at_exit(void* arg) {
HandleScope scope;
vips_shutdown();
}
extern "C" void init(Handle<Object> target) {
HandleScope scope;
vips_init("");
NODE_SET_METHOD(target, "resize", Resize);
AtExit(at_exit);
NODE_SET_METHOD(target, "resize", resize);
};
NODE_MODULE(sharp, init)
NODE_MODULE(sharp, init);

BIN
tests/50020484-00001.png Normal file

Binary file not shown.

After

Width:  |  Height:  |  Size: 84 KiB

View File

@@ -1,64 +1,299 @@
var sharp = require("../index");
var fs = require("fs");
var imagemagick = require("imagemagick");
var gm = require("gm");
var epeg = require("epeg");
var async = require("async");
var assert = require("assert");
var Benchmark = require("benchmark");
var input = __dirname + "/2569067123_aca715a2ee_o.jpg"; // http://www.flickr.com/photos/grizdave/2569067123/
var output = __dirname + "/output.jpg";
var width = 640;
var inputJpg = __dirname + "/2569067123_aca715a2ee_o.jpg"; // http://www.flickr.com/photos/grizdave/2569067123/
var outputJpg = __dirname + "/output.jpg";
var inputPng = __dirname + "/50020484-00001.png"; // http://c.searspartsdirect.com/lis_png/PLDM/50020484-00001.png
var outputPng = __dirname + "/output.png";
var width = 720;
var height = 480;
var suite = new Benchmark.Suite;
suite.add("imagemagick", {
"defer": true,
"fn": function(deferred) {
imagemagick.resize({
srcPath: input,
dstPath: output,
quality: 0.75,
width: width,
height: height
}, function(err) {
if (err) {
throw err;
} else {
async.series({
jpeg: function(callback) {
var inputJpgBuffer = fs.readFileSync(inputJpg);
(new Benchmark.Suite("jpeg")).add("imagemagick", {
defer: true,
fn: function(deferred) {
imagemagick.resize({
srcPath: inputJpg,
dstPath: outputJpg,
quality: 0.8,
width: width,
height: height
}, function(err) {
if (err) {
throw err;
} else {
deferred.resolve();
}
});
}
}).add("gm-file-file", {
defer: true,
fn: function(deferred) {
gm(inputJpg).resize(width, height).quality(80).write(outputJpg, function (err) {
if (err) {
throw err;
} else {
deferred.resolve();
}
});
}
}).add("gm-file-buffer", {
defer: true,
fn: function(deferred) {
gm(inputJpg).resize(width, height).quality(80).toBuffer(function (err, buffer) {
if (err) {
throw err;
} else {
assert.notStrictEqual(null, buffer);
deferred.resolve();
}
});
}
}).add("epeg-file-file", {
defer: true,
fn: function(deferred) {
var image = new epeg.Image({path: inputJpg});
image.downsize(width, height, 80).saveTo(outputJpg);
deferred.resolve();
}
});
}
}).add("gm", {
"defer": true,
"fn": function(deferred) {
gm(input).crop(width, height).write(output, function (err) {
if (err) {
throw err;
} else {
}).add("epeg-file-buffer", {
defer: true,
fn: function(deferred) {
var image = new epeg.Image({path: inputJpg});
var buffer = image.downsize(width, height, 80).process();
assert.notStrictEqual(null, buffer);
deferred.resolve();
}
});
}
}).add("epeg", {
"defer": true,
"fn": function(deferred) {
var image = new epeg.Image({path: input});
image.downsize(width, height).saveTo(output);
deferred.resolve();
}
}).add("sharp", {
"defer": true,
"fn": function(deferred) {
sharp.crop(input, output, width, height, function(err) {
if (err) {
throw err;
} else {
deferred.resolve();
}).add("sharp-buffer-file", {
defer: true,
fn: function(deferred) {
sharp.resize(inputJpgBuffer, outputJpg, width, height, function(err) {
if (err) {
throw err;
} else {
deferred.resolve();
}
});
}
});
}).add("sharp-buffer-buffer", {
defer: true,
fn: function(deferred) {
sharp.resize(inputJpgBuffer, sharp.buffer.jpeg, width, height, function(err, buffer) {
if (err) {
throw err;
} else {
assert.notStrictEqual(null, buffer);
deferred.resolve();
}
});
}
}).add("sharp-file-file", {
defer: true,
fn: function(deferred) {
sharp.resize(inputJpg, outputJpg, width, height, function(err) {
if (err) {
throw err;
} else {
deferred.resolve();
}
});
}
}).add("sharp-file-buffer", {
defer: true,
fn: function(deferred) {
sharp.resize(inputJpg, sharp.buffer.jpeg, width, height, function(err, buffer) {
if (err) {
throw err;
} else {
assert.notStrictEqual(null, buffer);
deferred.resolve();
}
});
}
}).add("sharp-file-buffer-sharpen", {
defer: true,
fn: function(deferred) {
sharp.resize(inputJpg, sharp.buffer.jpeg, width, height, {sharpen: true}, function(err, buffer) {
if (err) {
throw err;
} else {
assert.notStrictEqual(null, buffer);
deferred.resolve();
}
});
}
}).add("sharp-file-buffer-progressive", {
defer: true,
fn: function(deferred) {
sharp.resize(inputJpg, sharp.buffer.jpeg, width, height, {progressive: true}, function(err, buffer) {
if (err) {
throw err;
} else {
assert.notStrictEqual(null, buffer);
deferred.resolve();
}
});
}
}).add("sharp-file-buffer-sequentialRead", {
defer: true,
fn: function(deferred) {
sharp.resize(inputJpg, sharp.buffer.jpeg, width, height, {sequentialRead: true}, function(err, buffer) {
if (err) {
throw err;
} else {
assert.notStrictEqual(null, buffer);
deferred.resolve();
}
});
}
}).on("cycle", function(event) {
console.log("jpeg " + String(event.target));
}).on("complete", function() {
callback(null, this.filter("fastest").pluck("name"));
}).run();
},
png: function(callback) {
var inputPngBuffer = fs.readFileSync(inputPng);
(new Benchmark.Suite("png")).add("imagemagick", {
defer: true,
fn: function(deferred) {
imagemagick.resize({
srcPath: inputPng,
dstPath: outputPng,
width: width,
height: height
}, function(err) {
if (err) {
throw err;
} else {
deferred.resolve();
}
});
}
}).add("gm-file-file", {
defer: true,
fn: function(deferred) {
gm(inputPng).resize(width, height).write(outputPng, function (err) {
if (err) {
throw err;
} else {
deferred.resolve();
}
});
}
}).add("gm-file-buffer", {
defer: true,
fn: function(deferred) {
gm(inputPng).resize(width, height).quality(80).toBuffer(function (err, buffer) {
if (err) {
throw err;
} else {
assert.notStrictEqual(null, buffer);
deferred.resolve();
}
});
}
}).add("sharp-buffer-file", {
defer: true,
fn: function(deferred) {
sharp.resize(inputPngBuffer, outputPng, width, height, function(err) {
if (err) {
throw err;
} else {
deferred.resolve();
}
});
}
}).add("sharp-buffer-buffer", {
defer: true,
fn: function(deferred) {
sharp.resize(inputPngBuffer, sharp.buffer.png, width, height, function(err, buffer) {
if (err) {
throw err;
} else {
assert.notStrictEqual(null, buffer);
deferred.resolve();
}
});
}
}).add("sharp-file-file", {
defer: true,
fn: function(deferred) {
sharp.resize(inputPng, outputPng, width, height, function(err) {
if (err) {
throw err;
} else {
deferred.resolve();
}
});
}
}).add("sharp-file-buffer", {
defer: true,
fn: function(deferred) {
sharp.resize(inputPng, sharp.buffer.png, width, height, function(err, buffer) {
if (err) {
throw err;
} else {
assert.notStrictEqual(null, buffer);
deferred.resolve();
}
});
}
}).add("sharp-file-buffer-sharpen", {
defer: true,
fn: function(deferred) {
sharp.resize(inputPng, sharp.buffer.png, width, height, {sharpen: true}, function(err, buffer) {
if (err) {
throw err;
} else {
assert.notStrictEqual(null, buffer);
deferred.resolve();
}
});
}
}).add("sharp-file-buffer-progressive", {
defer: true,
fn: function(deferred) {
sharp.resize(inputPng, sharp.buffer.png, width, height, {progressive: true}, function(err, buffer) {
if (err) {
throw err;
} else {
assert.notStrictEqual(null, buffer);
deferred.resolve();
}
});
}
}).add("sharp-file-buffer-sequentialRead", {
defer: true,
fn: function(deferred) {
sharp.resize(inputPng, sharp.buffer.png, width, height, {sequentialRead: true}, function(err, buffer) {
if (err) {
throw err;
} else {
assert.notStrictEqual(null, buffer);
deferred.resolve();
}
});
}
}).on("cycle", function(event) {
console.log(" png " + String(event.target));
}).on("complete", function() {
callback(null, this.filter("fastest").pluck("name"));
}).run();
}
}).on("cycle", function(event) {
console.log(String(event.target));
}).on("complete", function() {
assert(this.filter("fastest").pluck("name") == "sharp");
}).run();
}, function(err, results) {
assert(!err, err);
Object.keys(results).forEach(function(format) {
assert.strictEqual("sharp", results[format].toString().substr(0, 5), "sharp was slower than " + results[format] + " for " + format);
});
});