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Add raw pixel data support to boolean and withOverlay ops

Browse Source 
The previously-scattered image opening logic has been refactored to a
single ImageDescriptor struct/Object available to both JS and C++ code

This removed about 150 LOC but more importantly reduces the complexity
of adding/exposing new operations that require an input image.
This commit is contained in:
Lovell Fuller 2016-07-26 22:26:55 +01:00
parent 36bfbdee0d
commit e6bfa52b0b
11 changed files with 589 additions and 696 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

11
docs/api.md
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@ -457,7 +457,7 @@ Overlay (composite) a image containing an alpha channel over the processed (resi
`image` is one of the following, and must be the same size or smaller than the processed image:
* Buffer containing PNG, WebP, GIF or SVG image data, or
* Buffer containing PNG, WebP, GIF, SVG, raw pixel image data, or
* String containing the path to an image file, with most major transparency formats supported.
`options`, if present, is an Object with the following optional attributes:
@ -467,6 +467,7 @@ Overlay (composite) a image containing an alpha channel over the processed (resi
* `left` is an integral Number representing the pixel offset from the left edge.
* `tile` is a Boolean, defaulting to `false`. When set to `true` repeats the overlay image across the entire image with the given `gravity`.
* `cutout` is a Boolean, defaulting to `false`. When set to `true` applies only the alpha channel of the overlay image to the image to be overlaid, giving the appearance of one image being cut out of another.
* `raw` an Object containing `width`, `height` and `channels` when providing uncompressed data.
If both `top` and `left` are provided, they take precedence over `gravity`.
@ -523,11 +524,11 @@ sharp('input.png')
In the above example if `input.png` is a 3 channel RGB image, `output.png` will be a 1 channel grayscale image where each pixel `P = R & G & B`.
For example, if `I(1,1) = [247, 170, 14] = [0b11110111, 0b10101010, 0b00001111]` then `O(1,1) = 0b11110111 & 0b10101010 & 0b00001111 = 0b00000010 = 2`.
#### boolean(image, operation)
#### boolean(image, operation, [options])
Perform a bitwise boolean operation with `image`, where `image` is one of the following:
* Buffer containing PNG, WebP, GIF or SVG image data, or
* Buffer containing JPEG, PNG, WebP, GIF, SVG, TIFF or raw pixel image data, or
* String containing the path to an image file
This operation creates an output image where each pixel is the result of the selected bitwise boolean `operation` between the corresponding pixels of the input images.
@ -537,6 +538,10 @@ The boolean operation can be one of the following:
* `or` performs a bitwise or operation, like the c-operator `|`.
* `eor` performs a bitwise exclusive or operation, like the c-operator `^`.
`options`, if present, is an Object with the following optional attributes:
* `raw` an Object containing `width`, `height` and `channels` when providing uncompressed data.
### Output
#### toFile(path, [callback])

5
docs/changelog.md
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@ -21,11 +21,16 @@ Requires libvips v8.3.2
[#511](https://github.com/lovell/sharp/pull/511)
[@mhirsch](https://github.com/mhirsch)
* Add support for raw pixel data with boolean and withOverlay operations.
[#516](https://github.com/lovell/sharp/pull/516)
[@mhirsch](https://github.com/mhirsch)
* Ensure ICC profiles are removed from PNG output unless withMetadata used.
[#521](https://github.com/lovell/sharp/issues/521)
[@ChrisPinewood](https://github.com/ChrisPinewood)
* Remove deprecated interpolateWith method - use resize(w, h, { interpolator: ... })
[#310](https://github.com/lovell/sharp/issues/310)
### v0.15 - "*outfit*"

118
index.js
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@ -42,14 +42,8 @@ var Sharp = function(input, options) {
stream.Duplex.call(this);
this.options = {
// input options
bufferIn: [],
streamIn: false,
sequentialRead: false,
limitInputPixels: maximum.pixels,
density: 72,
rawWidth: 0,
rawHeight: 0,
rawChannels: 0,
// ICC profiles
iccProfilePath: path.join(__dirname, 'icc') + path.sep,
// resize options
@ -93,8 +87,6 @@ var Sharp = function(input, options) {
booleanBufferIn: null,
booleanFileIn: '',
// overlay
overlayFileIn: '',
overlayBufferIn: null,
overlayGravity: 0,
overlayXOffset : -1,
overlayYOffset : -1,
@ -122,19 +114,7 @@ var Sharp = function(input, options) {
module.exports.queue.emit('change', queueLength);
}
};
if (isString(input)) {
// input=file
this.options.fileIn = input;
} else if (isBuffer(input)) {
// input=buffer
this.options.bufferIn = input;
} else if (!isDefined(input)) {
// input=stream
this.options.streamIn = true;
} else {
throw new Error('Unsupported input ' + typeof input);
}
this._inputOptions(options);
this.options.input = this._createInputDescriptor(input, options, { allowStream: true });
return this;
};
module.exports = Sharp;
@ -187,37 +167,50 @@ var contains = function(val, list) {
};
/*
Set input-related options
density: DPI at which to load vector images via libmagick
Create Object containing input and input-related options
*/
Sharp.prototype._inputOptions = function(options) {
if (isObject(options)) {
// Density
if (isDefined(options.density)) {
if (isInteger(options.density) && inRange(options.density, 1, 2400)) {
this.options.density = options.density;
Sharp.prototype._createInputDescriptor = function(input, inputOptions, containerOptions) {
var inputDescriptor = {};
if (isString(input)) {
// filesystem
inputDescriptor.file = input;
} else if (isBuffer(input)) {
// Buffer
inputDescriptor.buffer = input;
} else if (!isDefined(input) && isObject(containerOptions) && containerOptions.allowStream) {
// Stream
inputDescriptor.buffer = [];
} else {
throw new Error('Invalid density (1 to 2400) ' + options.density);
throw new Error('Unsupported input ' + typeof input);
}
if (isObject(inputOptions)) {
// Density
if (isDefined(inputOptions.density)) {
if (isInteger(inputOptions.density) && inRange(inputOptions.density, 1, 2400)) {
inputDescriptor.density = inputOptions.density;
} else {
throw new Error('Invalid density (1 to 2400) ' + inputOptions.density);
}
}
// Raw pixel input
if (isDefined(options.raw)) {
if (isDefined(inputOptions.raw)) {
if (
isObject(options.raw) &&
isInteger(options.raw.width) && inRange(options.raw.width, 1, maximum.width) &&
isInteger(options.raw.height) && inRange(options.raw.height, 1, maximum.height) &&
isInteger(options.raw.channels) && inRange(options.raw.channels, 1, 4)
isObject(inputOptions.raw) &&
isInteger(inputOptions.raw.width) && inRange(inputOptions.raw.width, 1, maximum.width) &&
isInteger(inputOptions.raw.height) && inRange(inputOptions.raw.height, 1, maximum.height) &&
isInteger(inputOptions.raw.channels) && inRange(inputOptions.raw.channels, 1, 4)
) {
this.options.rawWidth = options.raw.width;
this.options.rawHeight = options.raw.height;
this.options.rawChannels = options.raw.channels;
inputDescriptor.rawWidth = inputOptions.raw.width;
inputDescriptor.rawHeight = inputOptions.raw.height;
inputDescriptor.rawChannels = inputOptions.raw.channels;
} else {
throw new Error('Expected width, height and channels for raw pixel input');
}
}
} else if (isDefined(options)) {
throw new Error('Invalid input options ' + options);
} else if (isDefined(inputOptions)) {
throw new Error('Invalid input options ' + inputOptions);
}
return inputDescriptor;
};
/*
@ -225,9 +218,9 @@ Sharp.prototype._inputOptions = function(options) {
*/
Sharp.prototype._write = function(chunk, encoding, callback) {
/*jslint unused: false */
if (this.options.streamIn) {
if (Array.isArray(this.options.input.buffer)) {
if (isBuffer(chunk)) {
this.options.bufferIn.push(chunk);
this.options.input.buffer.push(chunk);
callback();
} else {
callback(new Error('Non-Buffer data on Writable Stream'));
@ -238,13 +231,16 @@ Sharp.prototype._write = function(chunk, encoding, callback) {
};
/*
Flattens the array of chunks in bufferIn
Flattens the array of chunks accumulated in input.buffer
*/
Sharp.prototype._flattenBufferIn = function() {
if (Array.isArray(this.options.bufferIn)) {
this.options.bufferIn = Buffer.concat(this.options.bufferIn);
if (this._isStreamInput()) {
this.options.input.buffer = Buffer.concat(this.options.input.buffer);
}
};
Sharp.prototype._isStreamInput = function() {
return Array.isArray(this.options.input.buffer);
};
// Weighting to apply to image crop
module.exports.gravity = {
@ -369,14 +365,8 @@ Sharp.prototype.negate = function(negate) {
/*
Bitwise boolean operations between images
*/
Sharp.prototype.boolean = function(operand, operator) {
if (isString(operand)) {
this.options.booleanFileIn = operand;
} else if (isBuffer(operand)) {
this.options.booleanBufferIn = operand;
} else {
throw new Error('Unsupported boolean operand ' + typeof operand);
}
Sharp.prototype.boolean = function(operand, operator, options) {
this.options.boolean = this._createInputDescriptor(operand, options);
if (isString(operator) && contains(operator, ['and', 'or', 'eor'])) {
this.options.booleanOp = operator;
} else {
@ -389,13 +379,9 @@ Sharp.prototype.boolean = function(operand, operator) {
Overlay with another image, using an optional gravity
*/
Sharp.prototype.overlayWith = function(overlay, options) {
if (isString(overlay)) {
this.options.overlayFileIn = overlay;
} else if (isBuffer(overlay)) {
this.options.overlayBufferIn = overlay;
} else {
throw new Error('Unsupported overlay ' + typeof overlay);
}
this.options.overlay = this._createInputDescriptor(overlay, options, {
allowStream: false
});
if (isObject(options)) {
if (isDefined(options.tile)) {
if (isBoolean(options.tile)) {
@ -909,7 +895,7 @@ Sharp.prototype.toFile = function(fileOut, callback) {
return BluebirdPromise.reject(errOutputInvalid);
}
} else {
if (this.options.fileIn === fileOut) {
if (this.options.input.file === fileOut) {
var errOutputIsInput = new Error('Cannot use same file for input and output');
if (typeof callback === 'function') {
callback(errOutputIsInput);
@ -999,7 +985,7 @@ Sharp.prototype._pipeline = function(callback) {
var that = this;
if (typeof callback === 'function') {
// output=file/buffer
if (this.options.streamIn) {
if (this._isStreamInput()) {
// output=file/buffer, input=stream
this.on('finish', function() {
that._flattenBufferIn();
@ -1012,7 +998,7 @@ Sharp.prototype._pipeline = function(callback) {
return this;
} else if (this.options.streamOut) {
// output=stream
if (this.options.streamIn) {
if (this._isStreamInput()) {
// output=stream, input=stream
this.on('finish', function() {
that._flattenBufferIn();
@ -1041,7 +1027,7 @@ Sharp.prototype._pipeline = function(callback) {
return this;
} else {
// output=promise
if (this.options.streamIn) {
if (this._isStreamInput()) {
// output=promise, input=stream
return new BluebirdPromise(function(resolve, reject) {
that.on('finish', function() {
@ -1077,7 +1063,7 @@ Sharp.prototype._pipeline = function(callback) {
Sharp.prototype.metadata = function(callback) {
var that = this;
if (typeof callback === 'function') {
if (this.options.streamIn) {
if (this._isStreamInput()) {
this.on('finish', function() {
that._flattenBufferIn();
sharp.metadata(that.options, callback);
@ -1087,7 +1073,7 @@ Sharp.prototype.metadata = function(callback) {
}
return this;
} else {
if (this.options.streamIn) {
if (this._isStreamInput()) {
return new BluebirdPromise(function(resolve, reject) {
that.on('finish', function() {
that._flattenBufferIn();

124
src/common.cc
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@ -1,32 +1,53 @@
#include <cstdlib>
#include <string>
#include <string.h>
#include <node.h>
#include <node_buffer.h>
#include <vips/vips8>
#include "nan.h"
#include "common.h"
// Verify platform and compiler compatibility
#if (VIPS_MAJOR_VERSION < 8 || (VIPS_MAJOR_VERSION == 8 && VIPS_MINOR_VERSION < 2))
#error libvips version 8.2.0+ required - see sharp.dimens.io/page/install
#endif
#if ((!defined(__clang__)) && defined(__GNUC__) && (__GNUC__ < 4 || (__GNUC__ == 4 && __GNUC_MINOR__ < 6)))
#error GCC version 4.6+ is required for C++11 features - see sharp.dimens.io/page/install#prerequisites
#endif
#if (defined(__clang__) && defined(__has_feature))
#if (!__has_feature(cxx_range_for))
#error clang version 3.0+ is required for C++11 features - see sharp.dimens.io/page/install#prerequisites
#endif
#endif
#define EXIF_IFD0_ORIENTATION "exif-ifd0-Orientation"
using vips::VImage;
namespace sharp {
// Convenience methods to access the attributes of a v8::Object
bool HasAttr(v8::Handle<v8::Object> obj, std::string attr) {
return Nan::Has(obj, Nan::New(attr).ToLocalChecked()).FromJust();
}
std::string AttrAsStr(v8::Handle<v8::Object> obj, std::string attr) {
return *Nan::Utf8String(Nan::Get(obj, Nan::New(attr).ToLocalChecked()).ToLocalChecked());
}
// Create an InputDescriptor instance from a v8::Object describing an input image
InputDescriptor* CreateInputDescriptor(
v8::Handle<v8::Object> input, std::vector<v8::Local<v8::Object>> buffersToPersist
) {
Nan::HandleScope();
InputDescriptor *descriptor = new InputDescriptor;
if (HasAttr(input, "file")) {
descriptor->file = AttrAsStr(input, "file");
} else {
v8::Local<v8::Object> buffer = AttrAs<v8::Object>(input, "buffer");
descriptor->bufferLength = node::Buffer::Length(buffer);
descriptor->buffer = node::Buffer::Data(buffer);
buffersToPersist.push_back(buffer);
}
// Density for vector-based input
if (HasAttr(input, "density")) {
descriptor->density = AttrTo<uint32_t>(input, "density");
}
// Raw pixel input
if (HasAttr(input, "rawChannels")) {
descriptor->rawChannels = AttrTo<uint32_t>(input, "rawChannels");
descriptor->rawWidth = AttrTo<uint32_t>(input, "rawWidth");
descriptor->rawHeight = AttrTo<uint32_t>(input, "rawHeight");
}
return descriptor;
}
// How many tasks are in the queue?
volatile int counterQueue = 0;
@ -149,6 +170,73 @@ namespace sharp {
return imageType;
}
/*
Open an image from the given InputDescriptor (filesystem, compressed buffer, raw pixel data)
*/
std::tuple<VImage, ImageType> OpenInput(InputDescriptor *descriptor, VipsAccess accessMethod) {
VImage image;
ImageType imageType;
if (descriptor->buffer != nullptr) {
// From buffer
if (descriptor->rawChannels > 0) {
// Raw, uncompressed pixel data
image = VImage::new_from_memory(descriptor->buffer, descriptor->bufferLength,
descriptor->rawWidth, descriptor->rawHeight, descriptor->rawChannels, VIPS_FORMAT_UCHAR);
if (descriptor->rawChannels < 3) {
image.get_image()->Type = VIPS_INTERPRETATION_B_W;
} else {
image.get_image()->Type = VIPS_INTERPRETATION_sRGB;
}
imageType = ImageType::RAW;
} else {
// Compressed data
imageType = DetermineImageType(descriptor->buffer, descriptor->bufferLength);
if (imageType != ImageType::UNKNOWN) {
try {
vips::VOption *option = VImage::option()->set("access", accessMethod);
if (imageType == ImageType::SVG || imageType == ImageType::PDF) {
option->set("dpi", static_cast<double>(descriptor->density));
}
if (imageType == ImageType::MAGICK) {
option->set("density", std::to_string(descriptor->density).data());
}
image = VImage::new_from_buffer(descriptor->buffer, descriptor->bufferLength, nullptr, option);
if (imageType == ImageType::SVG || imageType == ImageType::PDF || imageType == ImageType::MAGICK) {
SetDensity(image, descriptor->density);
}
} catch (...) {
throw vips::VError("Input buffer has corrupt header");
}
} else {
throw vips::VError("Input buffer contains unsupported image format");
}
}
} else {
// From filesystem
imageType = DetermineImageType(descriptor->file.data());
if (imageType != ImageType::UNKNOWN) {
try {
vips::VOption *option = VImage::option()->set("access", accessMethod);
if (imageType == ImageType::SVG || imageType == ImageType::PDF) {
option->set("dpi", static_cast<double>(descriptor->density));
}
if (imageType == ImageType::MAGICK) {
option->set("density", std::to_string(descriptor->density).data());
}
image = VImage::new_from_file(descriptor->file.data(), option);
if (imageType == ImageType::SVG || imageType == ImageType::PDF || imageType == ImageType::MAGICK) {
SetDensity(image, descriptor->density);
}
} catch (...) {
throw vips::VError("Input file has corrupt header");
}
} else {
throw vips::VError("Input file is missing or of an unsupported image format");
}
}
return std::make_tuple(image, imageType);
}
/*
Does this image have an embedded profile?
*/

63
src/common.h
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@ -4,12 +4,70 @@
#include <string>
#include <tuple>
#include <node.h>
#include <vips/vips8>
#include "nan.h"
// Verify platform and compiler compatibility
#if (VIPS_MAJOR_VERSION < 8 || (VIPS_MAJOR_VERSION == 8 && VIPS_MINOR_VERSION < 3))
#error libvips version 8.3.x required - see sharp.dimens.io/page/install
#endif
#if ((!defined(__clang__)) && defined(__GNUC__) && (__GNUC__ < 4 || (__GNUC__ == 4 && __GNUC_MINOR__ < 6)))
#error GCC version 4.6+ is required for C++11 features - see sharp.dimens.io/page/install#prerequisites
#endif
#if (defined(__clang__) && defined(__has_feature))
#if (!__has_feature(cxx_range_for))
#error clang version 3.0+ is required for C++11 features - see sharp.dimens.io/page/install#prerequisites
#endif
#endif
#define EXIF_IFD0_ORIENTATION "exif-ifd0-Orientation"
using vips::VImage;
namespace sharp {
struct InputDescriptor {
std::string name;
std::string file;
char *buffer;
size_t bufferLength;
int density;
int rawChannels;
int rawWidth;
int rawHeight;
InputDescriptor():
buffer(nullptr),
bufferLength(0),
density(72),
rawChannels(0),
rawWidth(0),
rawHeight(0) {}
};
// Convenience methods to access the attributes of a v8::Object
bool HasAttr(v8::Handle<v8::Object> obj, std::string attr);
std::string AttrAsStr(v8::Handle<v8::Object> obj, std::string attr);
template<typename T> v8::Local<T> AttrAs(v8::Handle<v8::Object> obj, std::string attr) {
return Nan::Get(obj, Nan::New(attr).ToLocalChecked()).ToLocalChecked().As<T>();
}
template<typename T> T AttrTo(v8::Handle<v8::Object> obj, std::string attr) {
return Nan::To<T>(Nan::Get(obj, Nan::New(attr).ToLocalChecked()).ToLocalChecked()).FromJust();
}
template<typename T> T AttrTo(v8::Handle<v8::Object> obj, int attr) {
return Nan::To<T>(Nan::Get(obj, attr).ToLocalChecked()).FromJust();
}
// Create an InputDescriptor instance from a v8::Object describing an input image
InputDescriptor* CreateInputDescriptor(
v8::Handle<v8::Object> input, std::vector<v8::Local<v8::Object>> buffersToPersist
);
enum class ImageType {
JPEG,
PNG,
@ -57,6 +115,11 @@ namespace sharp {
*/
ImageType DetermineImageType(char const *file);
/*
Open an image from the given InputDescriptor (filesystem, compressed buffer, raw pixel data)
*/
std::tuple<VImage, ImageType> OpenInput(InputDescriptor *descriptor, VipsAccess accessMethod);
/*
Does this image have an embedded profile?
*/

200
src/metadata.cc
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@ -1,135 +1,54 @@
#include <numeric>
#include <node.h>
#include <vips/vips8>
#include "nan.h"
#include "common.h"
#include "metadata.h"
using v8::Handle;
using v8::Local;
using v8::Value;
using v8::Object;
using v8::Number;
using v8::String;
using v8::Boolean;
using v8::Function;
using v8::Exception;
using Nan::AsyncQueueWorker;
using Nan::AsyncWorker;
using Nan::Callback;
using Nan::HandleScope;
using Nan::Utf8String;
using Nan::Has;
using Nan::Get;
using Nan::Set;
using Nan::New;
using Nan::NewBuffer;
using Nan::Null;
using Nan::Error;
using vips::VImage;
using vips::VError;
using sharp::ImageType;
using sharp::ImageTypeId;
using sharp::DetermineImageType;
using sharp::HasProfile;
using sharp::HasAlpha;
using sharp::ExifOrientation;
using sharp::HasDensity;
using sharp::GetDensity;
using sharp::FreeCallback;
using sharp::counterQueue;
struct MetadataBaton {
// Input
std::string fileIn;
char *bufferIn;
size_t bufferInLength;
// Output
std::string format;
int width;
int height;
std::string space;
int channels;
int density;
bool hasProfile;
bool hasAlpha;
int orientation;
char *exif;
size_t exifLength;
char *icc;
size_t iccLength;
std::string err;
MetadataBaton():
bufferInLength(0),
density(0),
orientation(0),
exifLength(0),
iccLength(0) {}
};
class MetadataWorker : public AsyncWorker {
class MetadataWorker : public Nan::AsyncWorker {
public:
MetadataWorker(Callback *callback, MetadataBaton *baton, const Local<Object> &bufferIn) :
AsyncWorker(callback), baton(baton) {
if (baton->bufferInLength > 0) {
SaveToPersistent("bufferIn", bufferIn);
MetadataWorker(
Nan::Callback *callback, MetadataBaton *baton,
std::vector<v8::Local<v8::Object>> const buffersToPersist
) : Nan::AsyncWorker(callback), baton(baton), buffersToPersist(buffersToPersist) {
// Protect Buffer objects from GC, keyed on index
std::accumulate(buffersToPersist.begin(), buffersToPersist.end(), 0,
[this](uint32_t index, v8::Local<v8::Object> const buffer) -> uint32_t {
SaveToPersistent(index, buffer);
return index + 1;
}
);
}
~MetadataWorker() {}
void Execute() {
// Decrement queued task counter
g_atomic_int_dec_and_test(&counterQueue);
g_atomic_int_dec_and_test(&sharp::counterQueue);
ImageType imageType = ImageType::UNKNOWN;
VImage image;
if (baton->bufferInLength > 0) {
// From buffer
imageType = DetermineImageType(baton->bufferIn, baton->bufferInLength);
if (imageType != ImageType::UNKNOWN) {
vips::VImage image;
sharp::ImageType imageType = sharp::ImageType::UNKNOWN;
try {
image = VImage::new_from_buffer(baton->bufferIn, baton->bufferInLength, nullptr);
} catch (...) {
(baton->err).append("Input buffer has corrupt header");
imageType = ImageType::UNKNOWN;
std::tie(image, imageType) = OpenInput(baton->input, VIPS_ACCESS_SEQUENTIAL);
} catch (vips::VError const &err) {
(baton->err).append(err.what());
}
} else {
(baton->err).append("Input buffer contains unsupported image format");
}
} else {
// From file
imageType = DetermineImageType(baton->fileIn.data());
if (imageType != ImageType::UNKNOWN) {
try {
image = VImage::new_from_file(baton->fileIn.data());
} catch (...) {
(baton->err).append("Input file has corrupt header");
imageType = ImageType::UNKNOWN;
}
} else {
(baton->err).append("Input file is missing or of an unsupported image format");
}
}
if (imageType != ImageType::UNKNOWN) {
if (imageType != sharp::ImageType::UNKNOWN) {
// Image type
baton->format = ImageTypeId(imageType);
baton->format = sharp::ImageTypeId(imageType);
// VipsImage attributes
baton->width = image.width();
baton->height = image.height();
baton->space = vips_enum_nick(VIPS_TYPE_INTERPRETATION, image.interpretation());
baton->channels = image.bands();
if (HasDensity(image)) {
baton->density = GetDensity(image);
if (sharp::HasDensity(image)) {
baton->density = sharp::GetDensity(image);
}
baton->hasProfile = HasProfile(image);
baton->hasProfile = sharp::HasProfile(image);
// Derived attributes
baton->hasAlpha = HasAlpha(image);
baton->orientation = ExifOrientation(image);
baton->hasAlpha = sharp::HasAlpha(image);
baton->orientation = sharp::ExifOrientation(image);
// EXIF
if (image.get_typeof(VIPS_META_EXIF_NAME) == VIPS_TYPE_BLOB) {
size_t exifLength;
@ -147,53 +66,59 @@ class MetadataWorker : public AsyncWorker {
baton->iccLength = iccLength;
}
}
// Clean up
vips_error_clear();
vips_thread_shutdown();
}
void HandleOKCallback () {
HandleScope();
using Nan::New;
using Nan::Set;
Nan::HandleScope();
Local<Value> argv[2] = { Null(), Null() };
v8::Local<v8::Value> argv[2] = { Nan::Null(), Nan::Null() };
if (!baton->err.empty()) {
// Error
argv[0] = Error(baton->err.data());
argv[0] = Nan::Error(baton->err.data());
} else {
// Metadata Object
Local<Object> info = New<Object>();
Set(info, New("format").ToLocalChecked(), New<String>(baton->format).ToLocalChecked());
Set(info, New("width").ToLocalChecked(), New<Number>(baton->width));
Set(info, New("height").ToLocalChecked(), New<Number>(baton->height));
Set(info, New("space").ToLocalChecked(), New<String>(baton->space).ToLocalChecked());
Set(info, New("channels").ToLocalChecked(), New<Number>(baton->channels));
v8::Local<v8::Object> info = New<v8::Object>();
Set(info, New("format").ToLocalChecked(), New<v8::String>(baton->format).ToLocalChecked());
Set(info, New("width").ToLocalChecked(), New<v8::Uint32>(baton->width));
Set(info, New("height").ToLocalChecked(), New<v8::Uint32>(baton->height));
Set(info, New("space").ToLocalChecked(), New<v8::String>(baton->space).ToLocalChecked());
Set(info, New("channels").ToLocalChecked(), New<v8::Uint32>(baton->channels));
if (baton->density > 0) {
Set(info, New("density").ToLocalChecked(), New<Number>(baton->density));
Set(info, New("density").ToLocalChecked(), New<v8::Uint32>(baton->density));
}
Set(info, New("hasProfile").ToLocalChecked(), New<Boolean>(baton->hasProfile));
Set(info, New("hasAlpha").ToLocalChecked(), New<Boolean>(baton->hasAlpha));
Set(info, New("hasProfile").ToLocalChecked(), New<v8::Boolean>(baton->hasProfile));
Set(info, New("hasAlpha").ToLocalChecked(), New<v8::Boolean>(baton->hasAlpha));
if (baton->orientation > 0) {
Set(info, New("orientation").ToLocalChecked(), New<Number>(baton->orientation));
Set(info, New("orientation").ToLocalChecked(), New<v8::Uint32>(baton->orientation));
}
if (baton->exifLength > 0) {
Set(info,
New("exif").ToLocalChecked(),
NewBuffer(baton->exif, baton->exifLength, FreeCallback, nullptr).ToLocalChecked()
Nan::NewBuffer(baton->exif, baton->exifLength, sharp::FreeCallback, nullptr).ToLocalChecked()
);
}
if (baton->iccLength > 0) {
Set(info,
New("icc").ToLocalChecked(),
NewBuffer(baton->icc, baton->iccLength, FreeCallback, nullptr).ToLocalChecked()
Nan::NewBuffer(baton->icc, baton->iccLength, sharp::FreeCallback, nullptr).ToLocalChecked()
);
}
argv[1] = info;
}
// Dispose of Persistent wrapper around input Buffer so it can be garbage collected
if (baton->bufferInLength > 0) {
GetFromPersistent("bufferIn");
// Dispose of Persistent wrapper around input Buffers so they can be garbage collected
std::accumulate(buffersToPersist.begin(), buffersToPersist.end(), 0,
[this](uint32_t index, v8::Local<v8::Object> const buffer) -> uint32_t {
GetFromPersistent(index);
return index + 1;
}
);
delete baton->input;
delete baton;
// Return to JavaScript
@ -202,32 +127,27 @@ class MetadataWorker : public AsyncWorker {
private:
MetadataBaton* baton;
std::vector<v8::Local<v8::Object>> buffersToPersist;
};
/*
metadata(options, callback)
*/
NAN_METHOD(metadata) {
HandleScope();
// Input Buffers must not undergo GC compaction during processing
std::vector<v8::Local<v8::Object>> buffersToPersist;
// V8 objects are converted to non-V8 types held in the baton struct
MetadataBaton *baton = new MetadataBaton;
Local<Object> options = info[0].As<Object>();
v8::Local<v8::Object> options = info[0].As<v8::Object>();
// Input filename
baton->fileIn = *Utf8String(Get(options, New("fileIn").ToLocalChecked()).ToLocalChecked());
// Input Buffer object
Local<Object> bufferIn;
if (node::Buffer::HasInstance(Get(options, New("bufferIn").ToLocalChecked()).ToLocalChecked())) {
bufferIn = Get(options, New("bufferIn").ToLocalChecked()).ToLocalChecked().As<Object>();
baton->bufferInLength = node::Buffer::Length(bufferIn);
baton->bufferIn = node::Buffer::Data(bufferIn);
}
// Input
baton->input = sharp::CreateInputDescriptor(sharp::AttrAs<v8::Object>(options, "input"), buffersToPersist);
// Join queue for worker thread
Callback *callback = new Callback(info[1].As<Function>());
AsyncQueueWorker(new MetadataWorker(callback, baton, bufferIn));
Nan::Callback *callback = new Nan::Callback(info[1].As<v8::Function>());
Nan::AsyncQueueWorker(new MetadataWorker(callback, baton, buffersToPersist));
// Increment queued task counter
g_atomic_int_inc(&counterQueue);
g_atomic_int_inc(&sharp::counterQueue);
}

35
src/metadata.h
View File

@ -2,6 +2,41 @@
#define SRC_METADATA_H_
#include "nan.h"
#include "common.h"
struct MetadataBaton {
// Input
sharp::InputDescriptor *input;
// Output
std::string format;
int width;
int height;
std::string space;
int channels;
int density;
bool hasProfile;
bool hasAlpha;
int orientation;
char *exif;
size_t exifLength;
char *icc;
size_t iccLength;
std::string err;
MetadataBaton():
input(nullptr),
width(0),
height(0),
channels(0),
density(0),
hasProfile(false),
hasAlpha(false),
orientation(0),
exif(nullptr),
exifLength(0),
icc(nullptr),
iccLength(0) {}
};
NAN_METHOD(metadata);

623
src/pipeline.cc
View File

@ -6,94 +6,22 @@
#include <numeric>
#include <vips/vips8>
#include <node.h>
#include <node_buffer.h>
#include "nan.h"
#include "common.h"
#include "operations.h"
#include "pipeline.h"
using v8::Handle;
using v8::Local;
using v8::Value;
using v8::Object;
using v8::Integer;
using v8::Uint32;
using v8::String;
using v8::Array;
using v8::Function;
using v8::Exception;
using Nan::AsyncQueueWorker;
using Nan::AsyncWorker;
using Nan::Callback;
using Nan::HandleScope;
using Nan::Utf8String;
using Nan::Has;
using Nan::Get;
using Nan::Set;
using Nan::To;
using Nan::New;
using Nan::NewBuffer;
using Nan::Null;
using Nan::Equals;
using vips::VImage;
using vips::VInterpolate;
using vips::VOption;
using vips::VError;
using sharp::Composite;
using sharp::Cutout;
using sharp::Normalize;
using sharp::Gamma;
using sharp::Blur;
using sharp::Convolve;
using sharp::Sharpen;
using sharp::EntropyCrop;
using sharp::TileCache;
using sharp::Threshold;
using sharp::Bandbool;
using sharp::Boolean;
using sharp::Trim;
using sharp::ImageType;
using sharp::ImageTypeId;
using sharp::DetermineImageType;
using sharp::HasProfile;
using sharp::HasAlpha;
using sharp::ExifOrientation;
using sharp::SetExifOrientation;
using sharp::RemoveExifOrientation;
using sharp::SetDensity;
using sharp::IsJpeg;
using sharp::IsPng;
using sharp::IsWebp;
using sharp::IsTiff;
using sharp::IsDz;
using sharp::IsDzZip;
using sharp::IsV;
using sharp::FreeCallback;
using sharp::CalculateCrop;
using sharp::Is16Bit;
using sharp::MaximumImageAlpha;
using sharp::GetBooleanOperation;
using sharp::counterProcess;
using sharp::counterQueue;
class PipelineWorker : public AsyncWorker {
class PipelineWorker : public Nan::AsyncWorker {
public:
PipelineWorker(
Callback *callback, PipelineBaton *baton, Callback *queueListener,
std::vector<Local<Object>> const buffersToPersist
) : AsyncWorker(callback), baton(baton), queueListener(queueListener), buffersToPersist(buffersToPersist) {
Nan::Callback *callback, PipelineBaton *baton, Nan::Callback *queueListener,
std::vector<v8::Local<v8::Object>> const buffersToPersist
) : Nan::AsyncWorker(callback), baton(baton), queueListener(queueListener), buffersToPersist(buffersToPersist) {
// Protect Buffer objects from GC, keyed on index
std::accumulate(buffersToPersist.begin(), buffersToPersist.end(), 0,
[this](uint32_t index, Local<Object> const buffer) -> uint32_t {
[this](uint32_t index, v8::Local<v8::Object> const buffer) -> uint32_t {
SaveToPersistent(index, buffer);
return index + 1;
}
@ -101,93 +29,24 @@ class PipelineWorker : public AsyncWorker {
}
~PipelineWorker() {}
/*
libuv worker
*/
// libuv worker
void Execute() {
using sharp::HasAlpha;
using sharp::ImageType;
// Decrement queued task counter
g_atomic_int_dec_and_test(&counterQueue);
g_atomic_int_dec_and_test(&sharp::counterQueue);
// Increment processing task counter
g_atomic_int_inc(&counterProcess);
g_atomic_int_inc(&sharp::counterProcess);
// Default sRGB ICC profile from https://packages.debian.org/sid/all/icc-profiles-free/filelist
std::string srgbProfile = baton->iccProfilePath + "sRGB.icc";
// Input
ImageType inputImageType = ImageType::UNKNOWN;
VImage image;
if (baton->bufferInLength > 0) {
// From buffer
if (baton->rawWidth > 0 && baton->rawHeight > 0 && baton->rawChannels > 0) {
// Raw, uncompressed pixel data
try {
image = VImage::new_from_memory(baton->bufferIn, baton->bufferInLength,
baton->rawWidth, baton->rawHeight, baton->rawChannels, VIPS_FORMAT_UCHAR);
if (baton->rawChannels < 3) {
image.get_image()->Type = VIPS_INTERPRETATION_B_W;
} else {
image.get_image()->Type = VIPS_INTERPRETATION_sRGB;
}
inputImageType = ImageType::RAW;
} catch(VError const &err) {
(baton->err).append(err.what());
inputImageType = ImageType::UNKNOWN;
}
} else {
// Compressed data
inputImageType = DetermineImageType(baton->bufferIn, baton->bufferInLength);
if (inputImageType != ImageType::UNKNOWN) {
try {
VOption *option = VImage::option()->set("access", baton->accessMethod);
if (inputImageType == ImageType::SVG || inputImageType == ImageType::PDF) {
option->set("dpi", static_cast<double>(baton->density));
}
if (inputImageType == ImageType::MAGICK) {
option->set("density", std::to_string(baton->density).data());
}
image = VImage::new_from_buffer(baton->bufferIn, baton->bufferInLength, nullptr, option);
if (inputImageType == ImageType::SVG ||
inputImageType == ImageType::PDF ||
inputImageType == ImageType::MAGICK) {
SetDensity(image, baton->density);
}
} catch (...) {
(baton->err).append("Input buffer has corrupt header");
inputImageType = ImageType::UNKNOWN;
}
} else {
(baton->err).append("Input buffer contains unsupported image format");
}
}
} else {
// From file
inputImageType = DetermineImageType(baton->fileIn.data());
if (inputImageType != ImageType::UNKNOWN) {
try {
VOption *option = VImage::option()->set("access", baton->accessMethod);
if (inputImageType == ImageType::SVG || inputImageType == ImageType::PDF) {
option->set("dpi", static_cast<double>(baton->density));
}
if (inputImageType == ImageType::MAGICK) {
option->set("density", std::to_string(baton->density).data());
}
image = VImage::new_from_file(baton->fileIn.data(), option);
if (inputImageType == ImageType::SVG ||
inputImageType == ImageType::PDF ||
inputImageType == ImageType::MAGICK) {
SetDensity(image, baton->density);
}
} catch (...) {
(baton->err).append("Input file has corrupt header");
inputImageType = ImageType::UNKNOWN;
}
} else {
(baton->err).append("Input file is missing or of an unsupported image format");
}
}
if (inputImageType == ImageType::UNKNOWN) {
return Error();
}
// Open input
vips::VImage image;
ImageType inputImageType;
std::tie(image, inputImageType) = sharp::OpenInput(baton->input, baton->accessMethod);
// Limit input images to a given number of pixels, where pixels = width * height
// Ignore if 0
@ -196,7 +55,6 @@ class PipelineWorker : public AsyncWorker {
return Error();
}
try {
// Calculate angle of rotation
VipsAngle rotation;
bool flip;
@ -214,12 +72,12 @@ class PipelineWorker : public AsyncWorker {
// Rotate pre-extract
if (baton->rotateBeforePreExtract && rotation != VIPS_ANGLE_D0) {
image = image.rot(rotation);
RemoveExifOrientation(image);
sharp::RemoveExifOrientation(image);
}
// Trim
if(baton->trimTolerance != 0) {
image = Trim(image, baton->trimTolerance);
image = sharp::Trim(image, baton->trimTolerance);
}
// Pre extraction
@ -362,9 +220,9 @@ class PipelineWorker : public AsyncWorker {
}
if (shrink_on_load > 1) {
// Reload input using shrink-on-load
VOption *option = VImage::option()->set("shrink", shrink_on_load);
if (baton->bufferInLength > 1) {
VipsBlob *blob = vips_blob_new(nullptr, baton->bufferIn, baton->bufferInLength);
vips::VOption *option = VImage::option()->set("shrink", shrink_on_load);
if (baton->input->buffer != nullptr) {
VipsBlob *blob = vips_blob_new(nullptr, baton->input->buffer, baton->input->bufferLength);
if (inputImageType == ImageType::JPEG) {
// Reload JPEG buffer
image = VImage::jpegload_buffer(blob, option);
@ -376,10 +234,10 @@ class PipelineWorker : public AsyncWorker {
} else {
if (inputImageType == ImageType::JPEG) {
// Reload JPEG file
image = VImage::jpegload(const_cast<char*>((baton->fileIn).data()), option);
image = VImage::jpegload(const_cast<char*>(baton->input->file.data()), option);
} else {
// Reload WebP file
image = VImage::webpload(const_cast<char*>((baton->fileIn).data()), option);
image = VImage::webpload(const_cast<char*>(baton->input->file.data()), option);
}
}
// Recalculate integral shrink and double residual
@ -405,7 +263,7 @@ class PipelineWorker : public AsyncWorker {
}
// Ensure we're using a device-independent colour space
if (HasProfile(image)) {
if (sharp::HasProfile(image)) {
// Convert to sRGB using embedded profile
try {
image = image.icc_transform(const_cast<char*>(srgbProfile.data()), VImage::option()
@ -425,12 +283,12 @@ class PipelineWorker : public AsyncWorker {
}
// Calculate maximum alpha value based on input image pixel depth
double const maxAlpha = MaximumImageAlpha(image.interpretation());
double const maxAlpha = sharp::MaximumImageAlpha(image.interpretation());
// Flatten image to remove alpha channel
if (baton->flatten && HasAlpha(image)) {
// Scale up 8-bit values to match 16-bit input image
double const multiplier = Is16Bit(image.interpretation()) ? 256.0 : 1.0;
double const multiplier = sharp::Is16Bit(image.interpretation()) ? 256.0 : 1.0;
// Background colour
std::vector<double> background {
baton->background[0] * multiplier,
@ -450,7 +308,7 @@ class PipelineWorker : public AsyncWorker {
// Gamma encoding (darken)
if (baton->gamma >= 1 && baton->gamma <= 3) {
image = Gamma(image, 1.0 / baton->gamma);
image = sharp::Gamma(image, 1.0 / baton->gamma);
}
// Convert to greyscale (linear, therefore after gamma encoding, if any)
@ -484,9 +342,9 @@ class PipelineWorker : public AsyncWorker {
}
// Ensure image has an alpha channel when there is an overlay
bool hasOverlay = baton->overlayBufferInLength > 0 || !baton->overlayFileIn.empty();
bool hasOverlay = baton->overlay != nullptr;
if (hasOverlay && !HasAlpha(image)) {
double const multiplier = Is16Bit(image.interpretation()) ? 256.0 : 1.0;
double const multiplier = sharp::Is16Bit(image.interpretation()) ? 256.0 : 1.0;
image = image.bandjoin(
VImage::new_matrix(image.width(), image.height()).new_from_image(255 * multiplier)
);
@ -511,7 +369,7 @@ class PipelineWorker : public AsyncWorker {
if (shouldAffineTransform) {
// Insert tile cache to prevent over-computation of previous operations
if (baton->accessMethod == VIPS_ACCESS_SEQUENTIAL) {
image = TileCache(image, yresidual);
image = sharp::TileCache(image, yresidual);
}
// Perform kernel-based reduction
if (yresidual < 1.0 || xresidual < 1.0) {
@ -519,7 +377,7 @@ class PipelineWorker : public AsyncWorker {
vips_enum_from_nick(nullptr, VIPS_TYPE_KERNEL, baton->kernel.data())
);
if (kernel != VIPS_KERNEL_CUBIC && kernel != VIPS_KERNEL_LANCZOS2 && kernel != VIPS_KERNEL_LANCZOS3) {
throw VError("Unknown kernel");
throw vips::VError("Unknown kernel");
}
if (yresidual < 1.0) {
image = image.reducev(1.0 / yresidual, VImage::option()->set("kernel", kernel));
@ -530,7 +388,7 @@ class PipelineWorker : public AsyncWorker {
}
// Perform affine enlargement
if (yresidual > 1.0 || xresidual > 1.0) {
VInterpolate interpolator = VInterpolate::new_from_name(baton->interpolator.data());
vips::VInterpolate interpolator = vips::VInterpolate::new_from_name(baton->interpolator.data());
if (yresidual > 1.0) {
image = image.affine({1.0, 0.0, 0.0, yresidual}, VImage::option()
->set("interpolate", interpolator)
@ -547,26 +405,26 @@ class PipelineWorker : public AsyncWorker {
// Rotate
if (!baton->rotateBeforePreExtract && rotation != VIPS_ANGLE_D0) {
image = image.rot(rotation);
RemoveExifOrientation(image);
sharp::RemoveExifOrientation(image);
}
// Flip (mirror about Y axis)
if (baton->flip) {
image = image.flip(VIPS_DIRECTION_VERTICAL);
RemoveExifOrientation(image);
sharp::RemoveExifOrientation(image);
}
// Flop (mirror about X axis)
if (baton->flop) {
image = image.flip(VIPS_DIRECTION_HORIZONTAL);
RemoveExifOrientation(image);
sharp::RemoveExifOrientation(image);
}
// Crop/embed
if (image.width() != baton->width || image.height() != baton->height) {
if (baton->canvas == Canvas::EMBED) {
// Scale up 8-bit values to match 16-bit input image
double const multiplier = Is16Bit(image.interpretation()) ? 256.0 : 1.0;
double const multiplier = sharp::Is16Bit(image.interpretation()) ? 256.0 : 1.0;
// Create background colour
std::vector<double> background;
if (image.bands() > 2) {
@ -606,12 +464,12 @@ class PipelineWorker : public AsyncWorker {
int top;
if (baton->crop < 9) {
// Gravity-based crop
std::tie(left, top) = CalculateCrop(
std::tie(left, top) = sharp::CalculateCrop(
image.width(), image.height(), baton->width, baton->height, baton->crop
);
} else {
// Entropy-based crop
std::tie(left, top) = EntropyCrop(image, baton->width, baton->height);
std::tie(left, top) = sharp::EntropyCrop(image, baton->width, baton->height);
}
int width = std::min(image.width(), baton->width);
int height = std::min(image.height(), baton->height);
@ -629,7 +487,7 @@ class PipelineWorker : public AsyncWorker {
// Extend edges
if (baton->extendTop > 0 || baton->extendBottom > 0 || baton->extendLeft > 0 || baton->extendRight > 0) {
// Scale up 8-bit values to match 16-bit input image
double const multiplier = Is16Bit(image.interpretation()) ? 256.0 : 1.0;
double const multiplier = sharp::Is16Bit(image.interpretation()) ? 256.0 : 1.0;
// Create background colour
std::vector<double> background {
baton->background[0] * multiplier,
@ -656,17 +514,17 @@ class PipelineWorker : public AsyncWorker {
// Threshold - must happen before blurring, due to the utility of blurring after thresholding
if (baton->threshold != 0) {
image = Threshold(image, baton->threshold, baton->thresholdGrayscale);
image = sharp::Threshold(image, baton->threshold, baton->thresholdGrayscale);
}
// Blur
if (shouldBlur) {
image = Blur(image, baton->blurSigma);
image = sharp::Blur(image, baton->blurSigma);
}
// Convolve
if (shouldConv) {
image = Convolve(image,
image = sharp::Convolve(image,
baton->convKernelWidth, baton->convKernelHeight,
baton->convKernelScale, baton->convKernelOffset,
baton->convKernel
@ -675,51 +533,21 @@ class PipelineWorker : public AsyncWorker {
// Sharpen
if (shouldSharpen) {
image = Sharpen(image, baton->sharpenSigma, baton->sharpenFlat, baton->sharpenJagged);
image = sharp::Sharpen(image, baton->sharpenSigma, baton->sharpenFlat, baton->sharpenJagged);
}
// Composite with overlay, if present
if (hasOverlay) {
VImage overlayImage;
ImageType overlayImageType = ImageType::UNKNOWN;
if (baton->overlayBufferInLength > 0) {
// Overlay with image from buffer
overlayImageType = DetermineImageType(baton->overlayBufferIn, baton->overlayBufferInLength);
if (overlayImageType != ImageType::UNKNOWN) {
try {
overlayImage = VImage::new_from_buffer(baton->overlayBufferIn, baton->overlayBufferInLength,
nullptr, VImage::option()->set("access", baton->accessMethod));
} catch (...) {
(baton->err).append("Overlay buffer has corrupt header");
overlayImageType = ImageType::UNKNOWN;
}
} else {
(baton->err).append("Overlay buffer contains unsupported image format");
}
} else {
// Overlay with image from file
overlayImageType = DetermineImageType(baton->overlayFileIn.data());
if (overlayImageType != ImageType::UNKNOWN) {
try {
overlayImage = VImage::new_from_file(baton->overlayFileIn.data(),
VImage::option()->set("access", baton->accessMethod));
} catch (...) {
(baton->err).append("Overlay file has corrupt header");
overlayImageType = ImageType::UNKNOWN;
}
}
}
if (overlayImageType == ImageType::UNKNOWN) {
return Error();
}
std::tie(overlayImage, overlayImageType) = OpenInput(baton->overlay, baton->accessMethod);
// Check if overlay is tiled
if (baton->overlayTile) {
int overlayImageWidth = overlayImage.width();
int overlayImageHeight = overlayImage.height();
int const overlayImageWidth = overlayImage.width();
int const overlayImageHeight = overlayImage.height();
int across = 0;
int down = 0;
// use gravity in ovelay
// Use gravity in overlay
if (overlayImageWidth <= baton->width) {
across = static_cast<int>(ceil(static_cast<double>(image.width()) / overlayImageWidth));
}
@ -730,16 +558,15 @@ class PipelineWorker : public AsyncWorker {
int left;
int top;
overlayImage = overlayImage.replicate(across, down);
if (baton->overlayXOffset >= 0 && baton->overlayYOffset >= 0) {
// the overlayX/YOffsets will now be used to CalculateCrop for extract_area
std::tie(left, top) = CalculateCrop(
std::tie(left, top) = sharp::CalculateCrop(
overlayImage.width(), overlayImage.height(), image.width(), image.height(),
baton->overlayXOffset, baton->overlayYOffset
);
} else {
// the overlayGravity will now be used to CalculateCrop for extract_area
std::tie(left, top) = CalculateCrop(
std::tie(left, top) = sharp::CalculateCrop(
overlayImage.width(), overlayImage.height(), image.width(), image.height(), baton->overlayGravity
);
}
@ -752,16 +579,16 @@ class PipelineWorker : public AsyncWorker {
}
if (shouldCutout) {
// 'cut out' the image, premultiplication is not required
image = Cutout(overlayImage, image, baton->overlayGravity);
image = sharp::Cutout(overlayImage, image, baton->overlayGravity);
} else {
// Ensure overlay is premultiplied sRGB
overlayImage = overlayImage.colourspace(VIPS_INTERPRETATION_sRGB).premultiply();
if (baton->overlayXOffset >= 0 && baton->overlayYOffset >= 0) {
// Composite images with given offsets
image = Composite(overlayImage, image, baton->overlayXOffset, baton->overlayYOffset);
image = sharp::Composite(overlayImage, image, baton->overlayXOffset, baton->overlayYOffset);
} else {
// Composite images with given gravity
image = Composite(overlayImage, image, baton->overlayGravity);
image = sharp::Composite(overlayImage, image, baton->overlayGravity);
}
}
}
@ -770,7 +597,7 @@ class PipelineWorker : public AsyncWorker {
if (shouldPremultiplyAlpha) {
image = image.unpremultiply(VImage::option()->set("max_alpha", maxAlpha));
// Cast pixel values to integer
if (Is16Bit(image.interpretation())) {
if (sharp::Is16Bit(image.interpretation())) {
image = image.cast(VIPS_FORMAT_USHORT);
} else {
image = image.cast(VIPS_FORMAT_UCHAR);
@ -779,55 +606,25 @@ class PipelineWorker : public AsyncWorker {
// Gamma decoding (brighten)
if (baton->gamma >= 1 && baton->gamma <= 3) {
image = Gamma(image, baton->gamma);
image = sharp::Gamma(image, baton->gamma);
}
// Apply normalization - stretch luminance to cover full dynamic range
if (baton->normalize) {
image = Normalize(image);
image = sharp::Normalize(image);
}
// Apply bitwise boolean operation between images
if (baton->booleanOp != VIPS_OPERATION_BOOLEAN_LAST &&
(baton->booleanBufferInLength > 0 || !baton->booleanFileIn.empty())) {
if (baton->boolean != nullptr) {
VImage booleanImage;
ImageType booleanImageType = ImageType::UNKNOWN;
if (baton->booleanBufferInLength > 0) {
// Buffer input for boolean operation
booleanImageType = DetermineImageType(baton->booleanBufferIn, baton->booleanBufferInLength);
if (booleanImageType != ImageType::UNKNOWN) {
try {
booleanImage = VImage::new_from_buffer(baton->booleanBufferIn, baton->booleanBufferInLength,
nullptr, VImage::option()->set("access", baton->accessMethod));
} catch (...) {
(baton->err).append("Boolean operation buffer has corrupt header");
booleanImageType = ImageType::UNKNOWN;
}
} else {
(baton->err).append("Boolean operation buffer contains unsupported image format");
}
} else if (!baton->booleanFileIn.empty()) {
// File input for boolean operation
booleanImageType = DetermineImageType(baton->booleanFileIn.data());
if (booleanImageType != ImageType::UNKNOWN) {
try {
booleanImage = VImage::new_from_file(baton->booleanFileIn.data(),
VImage::option()->set("access", baton->accessMethod));
} catch (...) {
(baton->err).append("Boolean operation file has corrupt header");
}
}
}
if (booleanImageType == ImageType::UNKNOWN) {
return Error();
}
// Apply the boolean operation
image = Boolean(image, booleanImage, baton->booleanOp);
std::tie(booleanImage, booleanImageType) = sharp::OpenInput(baton->boolean, baton->accessMethod);
image = sharp::Boolean(image, booleanImage, baton->booleanOp);
}
// Apply per-channel Bandbool bitwise operations after all other operations
if (baton->bandBoolOp >= VIPS_OPERATION_BOOLEAN_AND && baton->bandBoolOp < VIPS_OPERATION_BOOLEAN_LAST) {
image = Bandbool(image, baton->bandBoolOp);
image = sharp::Bandbool(image, baton->bandBoolOp);
}
// Extract an image channel (aka vips band)
@ -840,13 +637,13 @@ class PipelineWorker : public AsyncWorker {
}
// Convert image to sRGB, if not already
if (Is16Bit(image.interpretation())) {
if (sharp::Is16Bit(image.interpretation())) {
image = image.cast(VIPS_FORMAT_USHORT);
}
if (image.interpretation() != VIPS_INTERPRETATION_sRGB) {
image = image.colourspace(VIPS_INTERPRETATION_sRGB);
// Transform colours from embedded profile to sRGB profile
if (baton->withMetadata && HasProfile(image)) {
if (baton->withMetadata && sharp::HasProfile(image)) {
image = image.icc_transform(const_cast<char*>(srgbProfile.data()), VImage::option()
->set("embedded", TRUE)
);
@ -855,7 +652,7 @@ class PipelineWorker : public AsyncWorker {
// Override EXIF Orientation tag
if (baton->withMetadata && baton->withMetadataOrientation != -1) {
SetExifOrientation(image, baton->withMetadataOrientation);
sharp::SetExifOrientation(image, baton->withMetadataOrientation);
}
// Number of channels used in output image
@ -940,13 +737,13 @@ class PipelineWorker : public AsyncWorker {
}
} else {
// File output
bool isJpeg = IsJpeg(baton->fileOut);
bool isPng = IsPng(baton->fileOut);
bool isWebp = IsWebp(baton->fileOut);
bool isTiff = IsTiff(baton->fileOut);
bool isDz = IsDz(baton->fileOut);
bool isDzZip = IsDzZip(baton->fileOut);
bool isV = IsV(baton->fileOut);
bool isJpeg = sharp::IsJpeg(baton->fileOut);
bool isPng = sharp::IsPng(baton->fileOut);
bool isWebp = sharp::IsWebp(baton->fileOut);
bool isTiff = sharp::IsTiff(baton->fileOut);
bool isDz = sharp::IsDz(baton->fileOut);
bool isDzZip = sharp::IsDzZip(baton->fileOut);
bool isV = sharp::IsV(baton->fileOut);
bool matchInput = baton->formatOut == "input" &&
!(isJpeg || isPng || isWebp || isTiff || isDz || isDzZip || isV);
if (baton->formatOut == "jpeg" || isJpeg || (matchInput && inputImageType == ImageType::JPEG)) {
@ -1017,7 +814,7 @@ class PipelineWorker : public AsyncWorker {
return Error();
}
}
} catch (VError const &err) {
} catch (vips::VError const &err) {
(baton->err).append(err.what());
}
// Clean up libvips' per-request data and threads
@ -1026,9 +823,11 @@ class PipelineWorker : public AsyncWorker {
}
void HandleOKCallback () {
HandleScope();
using Nan::New;
using Nan::Set;
Nan::HandleScope();
Local<Value> argv[3] = { Null(), Null(), Null() };
v8::Local<v8::Value> argv[3] = { Nan::Null(), Nan::Null(), Nan::Null() };
if (!baton->err.empty()) {
// Error
argv[0] = Nan::Error(baton->err.data());
@ -1044,41 +843,44 @@ class PipelineWorker : public AsyncWorker {
height = baton->heightPost;
}
// Info Object
Local<Object> info = New<Object>();
Set(info, New("format").ToLocalChecked(), New<String>(baton->formatOut).ToLocalChecked());
Set(info, New("width").ToLocalChecked(), New<Uint32>(static_cast<uint32_t>(width)));
Set(info, New("height").ToLocalChecked(), New<Uint32>(static_cast<uint32_t>(height)));
Set(info, New("channels").ToLocalChecked(), New<Uint32>(static_cast<uint32_t>(baton->channels)));
v8::Local<v8::Object> info = New<v8::Object>();
Set(info, New("format").ToLocalChecked(), New<v8::String>(baton->formatOut).ToLocalChecked());
Set(info, New("width").ToLocalChecked(), New<v8::Uint32>(static_cast<uint32_t>(width)));
Set(info, New("height").ToLocalChecked(), New<v8::Uint32>(static_cast<uint32_t>(height)));
Set(info, New("channels").ToLocalChecked(), New<v8::Uint32>(static_cast<uint32_t>(baton->channels)));
if (baton->bufferOutLength > 0) {
// Pass ownership of output data to Buffer instance
argv[1] = NewBuffer(
static_cast<char*>(baton->bufferOut), baton->bufferOutLength, FreeCallback, nullptr
argv[1] = Nan::NewBuffer(
static_cast<char*>(baton->bufferOut), baton->bufferOutLength, sharp::FreeCallback, nullptr
).ToLocalChecked();
// Add buffer size to info
Set(info, New("size").ToLocalChecked(), New<Uint32>(static_cast<uint32_t>(baton->bufferOutLength)));
Set(info, New("size").ToLocalChecked(), New<v8::Uint32>(static_cast<uint32_t>(baton->bufferOutLength)));
argv[2] = info;
} else {
// Add file size to info
GStatBuf st;
g_stat(baton->fileOut.data(), &st);
Set(info, New("size").ToLocalChecked(), New<Uint32>(static_cast<uint32_t>(st.st_size)));
Set(info, New("size").ToLocalChecked(), New<v8::Uint32>(static_cast<uint32_t>(st.st_size)));
argv[1] = info;
}
}
// Dispose of Persistent wrapper around input Buffers so they can be garbage collected
std::accumulate(buffersToPersist.begin(), buffersToPersist.end(), 0,
[this](uint32_t index, Local<Object> const buffer) -> uint32_t {
[this](uint32_t index, v8::Local<v8::Object> const buffer) -> uint32_t {
GetFromPersistent(index);
return index + 1;
}
);
delete baton->input;
delete baton->overlay;
delete baton->boolean;
delete baton;
// Decrement processing task counter
g_atomic_int_dec_and_test(&counterProcess);
Local<Value> queueLength[1] = { New<Uint32>(counterQueue) };
g_atomic_int_dec_and_test(&sharp::counterProcess);
v8::Local<v8::Value> queueLength[1] = { New<v8::Uint32>(sharp::counterQueue) };
queueListener->Call(1, queueLength);
delete queueListener;
@ -1088,8 +890,8 @@ class PipelineWorker : public AsyncWorker {
private:
PipelineBaton *baton;
Callback *queueListener;
std::vector<Local<Object>> buffersToPersist;
Nan::Callback *queueListener;
std::vector<v8::Local<v8::Object>> buffersToPersist;
/*
Calculate the angle of rotation and need-to-flip for the output image.
@ -1099,12 +901,12 @@ class PipelineWorker : public AsyncWorker {
3. Otherwise default to zero, i.e. no rotation
*/
std::tuple<VipsAngle, bool, bool>
CalculateRotationAndFlip(int const angle, VImage image) {
CalculateRotationAndFlip(int const angle, vips::VImage image) {
VipsAngle rotate = VIPS_ANGLE_D0;
bool flip = FALSE;
bool flop = FALSE;
if (angle == -1) {
switch(ExifOrientation(image)) {
switch(sharp::ExifOrientation(image)) {
case 6: rotate = VIPS_ANGLE_D90; break;
case 3: rotate = VIPS_ANGLE_D180; break;
case 8: rotate = VIPS_ANGLE_D270; break;
@ -1135,63 +937,46 @@ class PipelineWorker : public AsyncWorker {
}
};
// Convenience methods to access the attributes of a V8::Object
template<typename T> T attrAs(Handle<Object> obj, std::string attr) {
return To<T>(Get(obj, New(attr).ToLocalChecked()).ToLocalChecked()).FromJust();
}
static std::string attrAsStr(Handle<Object> obj, std::string attr) {
return *Utf8String(Get(obj, New(attr).ToLocalChecked()).ToLocalChecked());
}
/*
pipeline(options, output, callback)
*/
NAN_METHOD(pipeline) {
HandleScope();
using sharp::HasAttr;
using sharp::AttrTo;
using sharp::AttrAs;
using sharp::AttrAsStr;
using sharp::CreateInputDescriptor;
// Input Buffers must not undergo GC compaction during processing
std::vector<v8::Local<v8::Object>> buffersToPersist;
// V8 objects are converted to non-V8 types held in the baton struct
PipelineBaton *baton = new PipelineBaton;
Local<Object> options = info[0].As<Object>();
v8::Local<v8::Object> options = info[0].As<v8::Object>();
// Input Buffers must not undergo GC compaction during processing
std::vector<Local<Object>> buffersToPersist;
// Input
baton->input = CreateInputDescriptor(AttrAs<v8::Object>(options, "input"), buffersToPersist);
// Input filename
baton->fileIn = attrAsStr(options, "fileIn");
baton->accessMethod = attrAs<bool>(options, "sequentialRead") ?
VIPS_ACCESS_SEQUENTIAL : VIPS_ACCESS_RANDOM;
// Input Buffer object
Local<Object> bufferIn;
if (node::Buffer::HasInstance(Get(options, New("bufferIn").ToLocalChecked()).ToLocalChecked())) {
bufferIn = Get(options, New("bufferIn").ToLocalChecked()).ToLocalChecked().As<Object>();
baton->bufferInLength = node::Buffer::Length(bufferIn);
baton->bufferIn = node::Buffer::Data(bufferIn);
buffersToPersist.push_back(bufferIn);
}
// ICC profile to use when input CMYK image has no embedded profile
baton->iccProfilePath = attrAsStr(options, "iccProfilePath");
baton->iccProfilePath = AttrAsStr(options, "iccProfilePath");
baton->accessMethod = AttrTo<bool>(options, "sequentialRead") ?
VIPS_ACCESS_SEQUENTIAL : VIPS_ACCESS_RANDOM;
// Limit input images to a given number of pixels, where pixels = width * height
baton->limitInputPixels = attrAs<int32_t>(options, "limitInputPixels");
// Density/DPI at which to load vector images via libmagick
baton->density = attrAs<int32_t>(options, "density");
// Raw pixel input
baton->rawWidth = attrAs<int32_t>(options, "rawWidth");
baton->rawHeight = attrAs<int32_t>(options, "rawHeight");
baton->rawChannels = attrAs<int32_t>(options, "rawChannels");
baton->limitInputPixels = AttrTo<int32_t>(options, "limitInputPixels");
// Extract image options
baton->topOffsetPre = attrAs<int32_t>(options, "topOffsetPre");
baton->leftOffsetPre = attrAs<int32_t>(options, "leftOffsetPre");
baton->widthPre = attrAs<int32_t>(options, "widthPre");
baton->heightPre = attrAs<int32_t>(options, "heightPre");
baton->topOffsetPost = attrAs<int32_t>(options, "topOffsetPost");
baton->leftOffsetPost = attrAs<int32_t>(options, "leftOffsetPost");
baton->widthPost = attrAs<int32_t>(options, "widthPost");
baton->heightPost = attrAs<int32_t>(options, "heightPost");
baton->topOffsetPre = AttrTo<int32_t>(options, "topOffsetPre");
baton->leftOffsetPre = AttrTo<int32_t>(options, "leftOffsetPre");
baton->widthPre = AttrTo<int32_t>(options, "widthPre");
baton->heightPre = AttrTo<int32_t>(options, "heightPre");
baton->topOffsetPost = AttrTo<int32_t>(options, "topOffsetPost");
baton->leftOffsetPost = AttrTo<int32_t>(options, "leftOffsetPost");
baton->widthPost = AttrTo<int32_t>(options, "widthPost");
baton->heightPost = AttrTo<int32_t>(options, "heightPost");
// Output image dimensions
baton->width = attrAs<int32_t>(options, "width");
baton->height = attrAs<int32_t>(options, "height");
baton->width = AttrTo<int32_t>(options, "width");
baton->height = AttrTo<int32_t>(options, "height");
// Canvas option
std::string canvas = attrAsStr(options, "canvas");
std::string canvas = AttrAsStr(options, "canvas");
if (canvas == "crop") {
baton->canvas = Canvas::CROP;
} else if (canvas == "embed") {
@ -1204,87 +989,93 @@ NAN_METHOD(pipeline) {
baton->canvas = Canvas::IGNORE_ASPECT;
}
// Background colour
Local<Object> background = Get(options, New("background").ToLocalChecked()).ToLocalChecked().As<Object>();
for (int i = 0; i < 4; i++) {
baton->background[i] = To<int32_t>(Get(background, i).ToLocalChecked()).FromJust();
v8::Local<v8::Object> background = AttrAs<v8::Object>(options, "background");
for (unsigned int i = 0; i < 4; i++) {
baton->background[i] = AttrTo<uint32_t>(background, i);
}
// Overlay options
baton->overlayFileIn = attrAsStr(options, "overlayFileIn");
Local<Object> overlayBufferIn;
if (node::Buffer::HasInstance(Get(options, New("overlayBufferIn").ToLocalChecked()).ToLocalChecked())) {
overlayBufferIn = Get(options, New("overlayBufferIn").ToLocalChecked()).ToLocalChecked().As<Object>();
baton->overlayBufferInLength = node::Buffer::Length(overlayBufferIn);
baton->overlayBufferIn = node::Buffer::Data(overlayBufferIn);
buffersToPersist.push_back(overlayBufferIn);
}
baton->overlayGravity = attrAs<int32_t>(options, "overlayGravity");
baton->overlayXOffset = attrAs<int32_t>(options, "overlayXOffset");
baton->overlayYOffset = attrAs<int32_t>(options, "overlayYOffset");
baton->overlayTile = attrAs<bool>(options, "overlayTile");
baton->overlayCutout = attrAs<bool>(options, "overlayCutout");
// Boolean options
baton->booleanFileIn = attrAsStr(options, "booleanFileIn");
Local<Object> booleanBufferIn;
if (node::Buffer::HasInstance(Get(options, New("booleanBufferIn").ToLocalChecked()).ToLocalChecked())) {
booleanBufferIn = Get(options, New("booleanBufferIn").ToLocalChecked()).ToLocalChecked().As<Object>();
baton->booleanBufferInLength = node::Buffer::Length(booleanBufferIn);
baton->booleanBufferIn = node::Buffer::Data(booleanBufferIn);
buffersToPersist.push_back(booleanBufferIn);
if (HasAttr(options, "overlay")) {
baton->overlay = CreateInputDescriptor(AttrAs<v8::Object>(options, "overlay"), buffersToPersist);
baton->overlayGravity = AttrTo<int32_t>(options, "overlayGravity");
baton->overlayXOffset = AttrTo<int32_t>(options, "overlayXOffset");
baton->overlayYOffset = AttrTo<int32_t>(options, "overlayYOffset");
baton->overlayTile = AttrTo<bool>(options, "overlayTile");
baton->overlayCutout = AttrTo<bool>(options, "overlayCutout");
}
// Resize options
baton->withoutEnlargement = attrAs<bool>(options, "withoutEnlargement");
baton->crop = attrAs<int32_t>(options, "crop");
baton->kernel = attrAsStr(options, "kernel");
baton->interpolator = attrAsStr(options, "interpolator");
baton->withoutEnlargement = AttrTo<bool>(options, "withoutEnlargement");
baton->crop = AttrTo<int32_t>(options, "crop");
baton->kernel = AttrAsStr(options, "kernel");
baton->interpolator = AttrAsStr(options, "interpolator");
// Operators
baton->flatten = attrAs<bool>(options, "flatten");
baton->negate = attrAs<bool>(options, "negate");
baton->blurSigma = attrAs<double>(options, "blurSigma");
baton->sharpenSigma = attrAs<double>(options, "sharpenSigma");
baton->sharpenFlat = attrAs<double>(options, "sharpenFlat");
baton->sharpenJagged = attrAs<double>(options, "sharpenJagged");
baton->threshold = attrAs<int32_t>(options, "threshold");
baton->thresholdGrayscale = attrAs<bool>(options, "thresholdGrayscale");
baton->trimTolerance = attrAs<int32_t>(options, "trimTolerance");
baton->flatten = AttrTo<bool>(options, "flatten");
baton->negate = AttrTo<bool>(options, "negate");
baton->blurSigma = AttrTo<double>(options, "blurSigma");
baton->sharpenSigma = AttrTo<double>(options, "sharpenSigma");
baton->sharpenFlat = AttrTo<double>(options, "sharpenFlat");
baton->sharpenJagged = AttrTo<double>(options, "sharpenJagged");
baton->threshold = AttrTo<int32_t>(options, "threshold");
baton->thresholdGrayscale = AttrTo<bool>(options, "thresholdGrayscale");
baton->trimTolerance = AttrTo<int32_t>(options, "trimTolerance");
if(baton->accessMethod == VIPS_ACCESS_SEQUENTIAL && baton->trimTolerance != 0) {
baton->accessMethod = VIPS_ACCESS_RANDOM;
}
baton->gamma = attrAs<double>(options, "gamma");
baton->greyscale = attrAs<bool>(options, "greyscale");
baton->normalize = attrAs<bool>(options, "normalize");
baton->angle = attrAs<int32_t>(options, "angle");
baton->rotateBeforePreExtract = attrAs<bool>(options, "rotateBeforePreExtract");
baton->flip = attrAs<bool>(options, "flip");
baton->flop = attrAs<bool>(options, "flop");
baton->extendTop = attrAs<int32_t>(options, "extendTop");
baton->extendBottom = attrAs<int32_t>(options, "extendBottom");
baton->extendLeft = attrAs<int32_t>(options, "extendLeft");
baton->extendRight = attrAs<int32_t>(options, "extendRight");
baton->extractChannel = attrAs<int32_t>(options, "extractChannel");
baton->gamma = AttrTo<double>(options, "gamma");
baton->greyscale = AttrTo<bool>(options, "greyscale");
baton->normalize = AttrTo<bool>(options, "normalize");
baton->angle = AttrTo<int32_t>(options, "angle");
baton->rotateBeforePreExtract = AttrTo<bool>(options, "rotateBeforePreExtract");
baton->flip = AttrTo<bool>(options, "flip");
baton->flop = AttrTo<bool>(options, "flop");
baton->extendTop = AttrTo<int32_t>(options, "extendTop");
baton->extendBottom = AttrTo<int32_t>(options, "extendBottom");
baton->extendLeft = AttrTo<int32_t>(options, "extendLeft");
baton->extendRight = AttrTo<int32_t>(options, "extendRight");
baton->extractChannel = AttrTo<int32_t>(options, "extractChannel");
if (HasAttr(options, "boolean")) {
baton->boolean = CreateInputDescriptor(AttrAs<v8::Object>(options, "boolean"), buffersToPersist);
baton->booleanOp = sharp::GetBooleanOperation(AttrAsStr(options, "booleanOp"));
}
if (HasAttr(options, "bandBoolOp")) {
baton->bandBoolOp = sharp::GetBooleanOperation(AttrAsStr(options, "bandBoolOp"));
}
if (HasAttr(options, "convKernel")) {
v8::Local<v8::Object> kernel = AttrAs<v8::Object>(options, "convKernel");
baton->convKernelWidth = AttrTo<uint32_t>(kernel, "width");
baton->convKernelHeight = AttrTo<uint32_t>(kernel, "height");
baton->convKernelScale = AttrTo<double>(kernel, "scale");
baton->convKernelOffset = AttrTo<double>(kernel, "offset");
size_t const kernelSize = static_cast<size_t>(baton->convKernelWidth * baton->convKernelHeight);
baton->convKernel = std::unique_ptr<double[]>(new double[kernelSize]);
v8::Local<v8::Array> kdata = AttrAs<v8::Array>(kernel, "kernel");
for (unsigned int i = 0; i < kernelSize; i++) {
baton->convKernel[i] = AttrTo<double>(kdata, i);
}
}
// Output options
baton->progressive = attrAs<bool>(options, "progressive");
baton->quality = attrAs<int32_t>(options, "quality");
baton->compressionLevel = attrAs<int32_t>(options, "compressionLevel");
baton->withoutAdaptiveFiltering = attrAs<bool>(options, "withoutAdaptiveFiltering");
baton->withoutChromaSubsampling = attrAs<bool>(options, "withoutChromaSubsampling");
baton->trellisQuantisation = attrAs<bool>(options, "trellisQuantisation");
baton->overshootDeringing = attrAs<bool>(options, "overshootDeringing");
baton->optimiseScans = attrAs<bool>(options, "optimiseScans");
baton->withMetadata = attrAs<bool>(options, "withMetadata");
baton->withMetadataOrientation = attrAs<int32_t>(options, "withMetadataOrientation");
baton->progressive = AttrTo<bool>(options, "progressive");
baton->quality = AttrTo<int32_t>(options, "quality");
baton->compressionLevel = AttrTo<int32_t>(options, "compressionLevel");
baton->withoutAdaptiveFiltering = AttrTo<bool>(options, "withoutAdaptiveFiltering");
baton->withoutChromaSubsampling = AttrTo<bool>(options, "withoutChromaSubsampling");
baton->trellisQuantisation = AttrTo<bool>(options, "trellisQuantisation");
baton->overshootDeringing = AttrTo<bool>(options, "overshootDeringing");
baton->optimiseScans = AttrTo<bool>(options, "optimiseScans");
baton->withMetadata = AttrTo<bool>(options, "withMetadata");
baton->withMetadataOrientation = AttrTo<uint32_t>(options, "withMetadataOrientation");
// Output
baton->formatOut = attrAsStr(options, "formatOut");
baton->fileOut = attrAsStr(options, "fileOut");
baton->formatOut = AttrAsStr(options, "formatOut");
baton->fileOut = AttrAsStr(options, "fileOut");
// Tile output
baton->tileSize = attrAs<int32_t>(options, "tileSize");
baton->tileOverlap = attrAs<int32_t>(options, "tileOverlap");
std::string tileContainer = attrAsStr(options, "tileContainer");
baton->tileSize = AttrTo<uint32_t>(options, "tileSize");
baton->tileOverlap = AttrTo<uint32_t>(options, "tileOverlap");
std::string tileContainer = AttrAsStr(options, "tileContainer");
if (tileContainer == "zip") {
baton->tileContainer = VIPS_FOREIGN_DZ_CONTAINER_ZIP;
} else {
baton->tileContainer = VIPS_FOREIGN_DZ_CONTAINER_FS;
}
std::string tileLayout = attrAsStr(options, "tileLayout");
std::string tileLayout = AttrAsStr(options, "tileLayout");
if (tileLayout == "google") {
baton->tileLayout = VIPS_FOREIGN_DZ_LAYOUT_GOOGLE;
} else if (tileLayout == "zoomify") {
@ -1292,42 +1083,16 @@ NAN_METHOD(pipeline) {
} else {
baton->tileLayout = VIPS_FOREIGN_DZ_LAYOUT_DZ;
}
// Convolution Kernel
if(Has(options, New("convKernel").ToLocalChecked()).FromJust()) {
Local<Object> kernel = Get(options, New("convKernel").ToLocalChecked()).ToLocalChecked().As<Object>();
baton->convKernelWidth = attrAs<uint32_t>(kernel, "width");
baton->convKernelHeight = attrAs<uint32_t>(kernel, "height");
baton->convKernelScale = attrAs<double>(kernel, "scale");
baton->convKernelOffset = attrAs<double>(kernel, "offset");
size_t const kernelSize = static_cast<size_t>(baton->convKernelWidth * baton->convKernelHeight);
baton->convKernel = std::unique_ptr<double[]>(new double[kernelSize]);
Local<Array> kdata = Get(kernel, New("kernel").ToLocalChecked()).ToLocalChecked().As<Array>();
for(unsigned int i = 0; i < kernelSize; i++) {
baton->convKernel[i] = To<double>(Get(kdata, i).ToLocalChecked()).FromJust();
}
}
// Bandbool operation
if(Has(options, New("bandBoolOp").ToLocalChecked()).FromJust()) {
baton->bandBoolOp = GetBooleanOperation(attrAsStr(options, "bandBoolOp"));
}
// Boolean operation
if(Has(options, New("booleanOp").ToLocalChecked()).FromJust()) {
baton->booleanOp = GetBooleanOperation(attrAsStr(options, "booleanOp"));
}
// Function to notify of queue length changes
Callback *queueListener = new Callback(
Get(options, New("queueListener").ToLocalChecked()).ToLocalChecked().As<Function>()
);
Nan::Callback *queueListener = new Nan::Callback(AttrAs<v8::Function>(options, "queueListener"));
// Join queue for worker thread
Callback *callback = new Callback(info[1].As<Function>());
AsyncQueueWorker(new PipelineWorker(callback, baton, queueListener, buffersToPersist));
Nan::Callback *callback = new Nan::Callback(info[1].As<v8::Function>());
Nan::AsyncQueueWorker(new PipelineWorker(callback, baton, queueListener, buffersToPersist));
// Increment queued task counter
g_atomic_int_inc(&counterQueue);
Local<Value> queueLength[1] = { New<Uint32>(counterQueue) };
g_atomic_int_inc(&sharp::counterQueue);
v8::Local<v8::Value> queueLength[1] = { Nan::New<v8::Uint32>(sharp::counterQueue) };
queueListener->Call(1, queueLength);
}

33
src/pipeline.h
View File

@ -6,6 +6,7 @@
#include <vips/vips8>
#include "nan.h"
#include "common.h"
NAN_METHOD(pipeline);
@ -18,30 +19,19 @@ enum class Canvas {
};
struct PipelineBaton {
std::string fileIn;
char *bufferIn;
size_t bufferInLength;
sharp::InputDescriptor *input;
std::string iccProfilePath;
int limitInputPixels;
int density;
int rawWidth;
int rawHeight;
int rawChannels;
std::string formatOut;
std::string fileOut;
void *bufferOut;
size_t bufferOutLength;
std::string overlayFileIn;
char *overlayBufferIn;
size_t overlayBufferInLength;
sharp::InputDescriptor *overlay;
int overlayGravity;
int overlayXOffset;
int overlayYOffset;
bool overlayTile;
bool overlayCutout;
std::string booleanFileIn;
char *booleanBufferIn;
size_t booleanBufferInLength;
int topOffsetPre;
int leftOffsetPre;
int widthPre;
@ -96,8 +86,9 @@ struct PipelineBaton {
int convKernelHeight;
double convKernelScale;
double convKernelOffset;
VipsOperationBoolean bandBoolOp;
sharp::InputDescriptor *boolean;
VipsOperationBoolean booleanOp;
VipsOperationBoolean bandBoolOp;
int extractChannel;
int tileSize;
int tileOverlap;
@ -105,22 +96,15 @@ struct PipelineBaton {
VipsForeignDzLayout tileLayout;
PipelineBaton():
bufferInLength(0),
input(nullptr),
limitInputPixels(0),
density(72),
rawWidth(0),
rawHeight(0),
rawChannels(0),
formatOut(""),
fileOut(""),
bufferOutLength(0),
overlayBufferInLength(0),
overlay(nullptr),
overlayGravity(0),
overlayXOffset(-1),
overlayYOffset(-1),
overlayTile(false),
overlayCutout(false),
booleanBufferInLength(0),
topOffsetPre(-1),
topOffsetPost(-1),
channels(0),
@ -160,8 +144,9 @@ struct PipelineBaton {
convKernelHeight(0),
convKernelScale(0.0),
convKernelOffset(0.0),
bandBoolOp(VIPS_OPERATION_BOOLEAN_LAST),
boolean(nullptr),
booleanOp(VIPS_OPERATION_BOOLEAN_LAST),
bandBoolOp(VIPS_OPERATION_BOOLEAN_LAST),
extractChannel(-1),
tileSize(256),
tileOverlap(0),

17
test/unit/boolean.js
View File

@ -40,6 +40,23 @@ describe('Boolean operation between two images', function() {
});
});
it(op + ' operation, raw', function(done) {
sharp(fixtures.inputJpgBooleanTest)
.raw()
.toBuffer(function(err, data, info) {
if (err) throw err;
sharp(fixtures.inputJpg)
.resize(320, 240)
.boolean(data, op, { raw: info })
.toBuffer(function(err, data, info) {
if (err) throw err;
assert.strictEqual(320, info.width);
assert.strictEqual(240, info.height);
fixtures.assertSimilar(fixtures.expected('boolean_' + op + '_result.jpg'), data, done);
});
});
});
});
it('Invalid operation', function() {

24
test/unit/overlay.js
View File

@ -528,4 +528,28 @@ describe('Overlays', function() {
});
});
it('Composite RGBA raw buffer onto JPEG', function(done) {
sharp(fixtures.inputPngOverlayLayer1)
.raw()
.toBuffer(function(err, data, info) {
if (err) throw err;
sharp(fixtures.inputJpg)
.resize(2048, 1536)
.overlayWith(data, { raw: info })
.toBuffer(function(err, data) {
if (err) throw err;
fixtures.assertSimilar(fixtures.expected('overlay-jpeg-with-rgb.jpg'), data, done);
});
});
});
it('Throws an error when called with an invalid file', function(done) {
sharp(fixtures.inputJpg)
.overlayWith('notfound.png')
.toBuffer(function(err) {
assert(err instanceof Error);
done();
});
});
});