sharp/src/resize.cc
Lovell Fuller ee513ac7a7 Less C, more C++ e.g. namespace, enum class
Improve image reference handling
2014-11-11 18:28:23 +00:00

877 lines
31 KiB
C++
Executable File

#include <tuple>
#include <algorithm>
#include <cmath>
#include <node.h>
#include <node_buffer.h>
#include <vips/vips.h>
#include "nan.h"
#include "common.h"
#include "resize.h"
using namespace v8;
using namespace sharp;
enum class Canvas {
CROP,
MAX,
EMBED
};
enum class Angle {
D0,
D90,
D180,
D270,
DLAST
};
struct ResizeBaton {
std::string fileIn;
void* bufferIn;
size_t bufferInLength;
std::string iccProfileCmyk;
std::string output;
std::string outputFormat;
void* bufferOut;
size_t bufferOutLength;
int topOffsetPre;
int leftOffsetPre;
int widthPre;
int heightPre;
int topOffsetPost;
int leftOffsetPost;
int widthPost;
int heightPost;
int width;
int height;
Canvas canvas;
int gravity;
std::string interpolator;
double background[4];
bool flatten;
int blurRadius;
int sharpenRadius;
double sharpenFlat;
double sharpenJagged;
double gamma;
bool greyscale;
int angle;
bool flip;
bool flop;
bool progressive;
bool withoutEnlargement;
VipsAccess accessMethod;
int quality;
int compressionLevel;
bool withoutAdaptiveFiltering;
std::string err;
bool withMetadata;
ResizeBaton():
bufferInLength(0),
outputFormat(""),
bufferOutLength(0),
topOffsetPre(-1),
topOffsetPost(-1),
canvas(Canvas::CROP),
gravity(0),
flatten(false),
blurRadius(0),
sharpenRadius(0),
sharpenFlat(1.0),
sharpenJagged(2.0),
gamma(0.0),
greyscale(false),
angle(0),
flip(false),
flop(false),
progressive(false),
withoutEnlargement(false),
quality(80),
compressionLevel(6),
withoutAdaptiveFiltering(false),
withMetadata(false) {
background[0] = 0.0;
background[1] = 0.0;
background[2] = 0.0;
background[3] = 255.0;
}
};
class ResizeWorker : public NanAsyncWorker {
public:
ResizeWorker(NanCallback *callback, ResizeBaton *baton) : NanAsyncWorker(callback), baton(baton) {}
~ResizeWorker() {}
/*
libuv worker
*/
void Execute() {
// Decrement queued task counter
g_atomic_int_dec_and_test(&counterQueue);
// Increment processing task counter
g_atomic_int_inc(&counterProcess);
// Hang image references from this hook object
VipsObject *hook = reinterpret_cast<VipsObject*>(vips_image_new());
// Input
ImageType inputImageType = ImageType::UNKNOWN;
VipsImage *image;
if (baton->bufferInLength > 1) {
// From buffer
inputImageType = DetermineImageType(baton->bufferIn, baton->bufferInLength);
if (inputImageType != ImageType::UNKNOWN) {
image = InitImage(inputImageType, baton->bufferIn, baton->bufferInLength, baton->accessMethod);
} else {
(baton->err).append("Input buffer contains unsupported image format");
}
} else {
// From file
inputImageType = DetermineImageType(baton->fileIn.c_str());
if (inputImageType != ImageType::UNKNOWN) {
image = InitImage(inputImageType, baton->fileIn.c_str(), baton->accessMethod);
} else {
(baton->err).append("File is of an unsupported image format");
}
}
if (inputImageType == ImageType::UNKNOWN) {
return Error(baton, hook);
}
vips_object_local(hook, image);
// Pre extraction
if (baton->topOffsetPre != -1) {
VipsImage *extractedPre;
if (vips_extract_area(image, &extractedPre, baton->leftOffsetPre, baton->topOffsetPre, baton->widthPre, baton->heightPre, NULL)) {
return Error(baton, hook);
}
vips_object_local(hook, extractedPre);
image = extractedPre;
}
// Get input image width and height
int inputWidth = image->Xsize;
int inputHeight = image->Ysize;
// Calculate angle of rotation, to be carried out later
Angle rotation;
bool flip;
std::tie(rotation, flip) = CalculateRotationAndFlip(baton->angle, image);
if (rotation == Angle::D90 || rotation == Angle::D270) {
// Swap input output width and height when rotating by 90 or 270 degrees
int swap = inputWidth;
inputWidth = inputHeight;
inputHeight = swap;
}
if (flip && !baton->flip) {
// Add flip operation due to EXIF mirroring
baton->flip = TRUE;
}
// Get window size of interpolator, used for determining shrink vs affine
int interpolatorWindowSize = InterpolatorWindowSize(baton->interpolator.c_str());
// Scaling calculations
double factor;
if (baton->width > 0 && baton->height > 0) {
// Fixed width and height
double xfactor = static_cast<double>(inputWidth) / static_cast<double>(baton->width);
double yfactor = static_cast<double>(inputHeight) / static_cast<double>(baton->height);
factor = (baton->canvas == Canvas::CROP) ? std::min(xfactor, yfactor) : std::max(xfactor, yfactor);
// if max is set, we need to compute the real size of the thumb image
if (baton->canvas == Canvas::MAX) {
if (xfactor > yfactor) {
baton->height = round(static_cast<double>(inputHeight) / xfactor);
} else {
baton->width = round(static_cast<double>(inputWidth) / yfactor);
}
}
} else if (baton->width > 0) {
// Fixed width, auto height
factor = static_cast<double>(inputWidth) / static_cast<double>(baton->width);
baton->height = floor(static_cast<double>(inputHeight) / factor);
} else if (baton->height > 0) {
// Fixed height, auto width
factor = static_cast<double>(inputHeight) / static_cast<double>(baton->height);
baton->width = floor(static_cast<double>(inputWidth) / factor);
} else {
// Identity transform
factor = 1;
baton->width = inputWidth;
baton->height = inputHeight;
}
// Calculate integral box shrink
int shrink = 1;
if (factor >= 2 && interpolatorWindowSize > 3) {
// Shrink less, affine more with interpolators that use at least 4x4 pixel window, e.g. bicubic
shrink = floor(factor * 3.0 / interpolatorWindowSize);
} else {
shrink = floor(factor);
}
if (shrink < 1) {
shrink = 1;
}
// Calculate residual float affine transformation
double residual = static_cast<double>(shrink) / factor;
// Do not enlarge the output if the input width *or* height are already less than the required dimensions
if (baton->withoutEnlargement) {
if (inputWidth < baton->width || inputHeight < baton->height) {
factor = 1;
shrink = 1;
residual = 0;
baton->width = inputWidth;
baton->height = inputHeight;
}
}
// Try to use libjpeg shrink-on-load, but not when applying gamma correction or pre-resize extract
int shrink_on_load = 1;
if (inputImageType == ImageType::JPEG && shrink >= 2 && baton->gamma == 0 && baton->topOffsetPre == -1) {
if (shrink >= 8) {
factor = factor / 8;
shrink_on_load = 8;
} else if (shrink >= 4) {
factor = factor / 4;
shrink_on_load = 4;
} else if (shrink >= 2) {
factor = factor / 2;
shrink_on_load = 2;
}
}
if (shrink_on_load > 1) {
// Recalculate integral shrink and double residual
factor = std::max(factor, 1.0);
if (factor >= 2 && interpolatorWindowSize > 3) {
shrink = floor(factor * 3.0 / interpolatorWindowSize);
} else {
shrink = floor(factor);
}
residual = static_cast<double>(shrink) / factor;
// Reload input using shrink-on-load
VipsImage *shrunkOnLoad;
if (baton->bufferInLength > 1) {
if (vips_jpegload_buffer(baton->bufferIn, baton->bufferInLength, &shrunkOnLoad, "shrink", shrink_on_load, NULL)) {
return Error(baton, hook);
}
} else {
if (vips_jpegload((baton->fileIn).c_str(), &shrunkOnLoad, "shrink", shrink_on_load, NULL)) {
return Error(baton, hook);
}
}
vips_object_local(hook, shrunkOnLoad);
image = shrunkOnLoad;
}
// Handle colour profile, if any, for non sRGB images
if (image->Type != VIPS_INTERPRETATION_sRGB) {
// Get the input colour profile
if (vips_image_get_typeof(image, VIPS_META_ICC_NAME)) {
VipsImage *profile;
// Use embedded profile
if (vips_icc_import(image, &profile, "pcs", VIPS_PCS_XYZ, "embedded", TRUE, NULL)) {
return Error(baton, hook);
}
vips_object_local(hook, profile);
image = profile;
} else if (image->Type == VIPS_INTERPRETATION_CMYK) {
VipsImage *profile;
// CMYK with no embedded profile
if (vips_icc_import(image, &profile, "pcs", VIPS_PCS_XYZ, "input_profile", (baton->iccProfileCmyk).c_str(), NULL)) {
return Error(baton, hook);
}
vips_object_local(hook, profile);
image = profile;
}
// Attempt to convert to sRGB colour space
VipsImage *colourspaced;
if (vips_colourspace(image, &colourspaced, VIPS_INTERPRETATION_sRGB, NULL)) {
return Error(baton, hook);
}
vips_object_local(hook, colourspaced);
image = colourspaced;
}
// Flatten image to remove alpha channel
if (baton->flatten && HasAlpha(image)) {
// Background colour
VipsArrayDouble *background = vips_array_double_newv(
3, // Ignore alpha channel as we're about to remove it
baton->background[0],
baton->background[1],
baton->background[2]
);
VipsImage *flattened;
if (vips_flatten(image, &flattened, "background", background, NULL)) {
vips_area_unref(reinterpret_cast<VipsArea*>(background));
return Error(baton, hook);
};
vips_area_unref(reinterpret_cast<VipsArea*>(background));
vips_object_local(hook, flattened);
image = flattened;
}
// Gamma encoding (darken)
if (baton->gamma >= 1 && baton->gamma <= 3) {
VipsImage *gammaEncoded;
if (vips_gamma(image, &gammaEncoded, "exponent", 1.0 / baton->gamma, NULL)) {
return Error(baton, hook);
}
vips_object_local(hook, gammaEncoded);
image = gammaEncoded;
}
// Convert to greyscale (linear, therefore after gamma encoding, if any)
if (baton->greyscale) {
VipsImage *greyscale;
if (vips_colourspace(image, &greyscale, VIPS_INTERPRETATION_B_W, NULL)) {
return Error(baton, hook);
}
vips_object_local(hook, greyscale);
image = greyscale;
}
if (shrink > 1) {
VipsImage *shrunk;
// Use vips_shrink with the integral reduction
if (vips_shrink(image, &shrunk, shrink, shrink, NULL)) {
return Error(baton, hook);
}
vips_object_local(hook, shrunk);
image = shrunk;
// Recalculate residual float based on dimensions of required vs shrunk images
double shrunkWidth = shrunk->Xsize;
double shrunkHeight = shrunk->Ysize;
if (rotation == Angle::D90 || rotation == Angle::D270) {
// Swap input output width and height when rotating by 90 or 270 degrees
int swap = shrunkWidth;
shrunkWidth = shrunkHeight;
shrunkHeight = swap;
}
double residualx = static_cast<double>(baton->width) / static_cast<double>(shrunkWidth);
double residualy = static_cast<double>(baton->height) / static_cast<double>(shrunkHeight);
if (baton->canvas == Canvas::EMBED) {
residual = std::min(residualx, residualy);
} else {
residual = std::max(residualx, residualy);
}
}
// Use vips_affine with the remaining float part
if (residual != 0) {
// Apply variable blur radius of floor(residual) before large affine reductions
if (residual >= 1) {
VipsImage *blurred;
if (vips_gaussblur(image, &blurred, floor(residual), NULL)) {
return Error(baton, hook);
}
vips_object_local(hook, blurred);
image = blurred;
}
// Create interpolator - "bilinear" (default), "bicubic" or "nohalo"
VipsInterpolate *interpolator = vips_interpolate_new(baton->interpolator.c_str());
vips_object_local(hook, interpolator);
// Perform affine transformation
VipsImage *affined;
if (vips_affine(image, &affined, residual, 0, 0, residual, "interpolate", interpolator, NULL)) {
return Error(baton, hook);
}
vips_object_local(hook, affined);
image = affined;
}
// Rotate
if (rotation != Angle::D0) {
VipsImage *rotated;
if (vips_rot(image, &rotated, static_cast<VipsAngle>(rotation), NULL)) {
return Error(baton, hook);
}
vips_object_local(hook, rotated);
image = rotated;
}
// Flip (mirror about Y axis)
if (baton->flip) {
VipsImage *flipped;
if (vips_flip(image, &flipped, VIPS_DIRECTION_VERTICAL, NULL)) {
return Error(baton, hook);
}
vips_object_local(hook, flipped);
image = flipped;
}
// Flop (mirror about X axis)
if (baton->flop) {
VipsImage *flopped;
if (vips_flip(image, &flopped, VIPS_DIRECTION_HORIZONTAL, NULL)) {
return Error(baton, hook);
}
vips_object_local(hook, flopped);
image = flopped;
}
// Crop/embed
if (image->Xsize != baton->width || image->Ysize != baton->height) {
if (baton->canvas == Canvas::EMBED) {
// Match background colour space, namely sRGB
if (image->Type != VIPS_INTERPRETATION_sRGB) {
// Convert to sRGB colour space
VipsImage *colourspaced;
if (vips_colourspace(image, &colourspaced, VIPS_INTERPRETATION_sRGB, NULL)) {
return Error(baton, hook);
}
vips_object_local(hook, colourspaced);
image = colourspaced;
}
// Add non-transparent alpha channel, if required
if (baton->background[3] < 255.0 && !HasAlpha(image)) {
// Create single-channel transparency
VipsImage *black;
if (vips_black(&black, image->Xsize, image->Ysize, "bands", 1, NULL)) {
return Error(baton, hook);
}
vips_object_local(hook, black);
// Invert to become non-transparent
VipsImage *alpha;
if (vips_invert(black, &alpha, NULL)) {
return Error(baton, hook);
}
vips_object_local(hook, alpha);
// Append alpha channel to existing image
VipsImage *joined;
if (vips_bandjoin2(image, alpha, &joined, NULL)) {
return Error(baton, hook);
}
vips_object_local(hook, joined);
image = joined;
}
// Create background
VipsArrayDouble *background;
if (baton->background[3] < 255.0) {
background = vips_array_double_newv(
4, baton->background[0], baton->background[1], baton->background[2], baton->background[3]
);
} else {
background = vips_array_double_newv(
3, baton->background[0], baton->background[1], baton->background[2]
);
}
// Embed
int left = (baton->width - image->Xsize) / 2;
int top = (baton->height - image->Ysize) / 2;
VipsImage *embedded;
if (vips_embed(image, &embedded, left, top, baton->width, baton->height,
"extend", VIPS_EXTEND_BACKGROUND, "background", background, NULL
)) {
vips_area_unref(reinterpret_cast<VipsArea*>(background));
return Error(baton, hook);
}
vips_area_unref(reinterpret_cast<VipsArea*>(background));
vips_object_local(hook, embedded);
image = embedded;
} else {
// Crop/max
int left;
int top;
std::tie(left, top) = CalculateCrop(image->Xsize, image->Ysize, baton->width, baton->height, baton->gravity);
int width = std::min(image->Xsize, baton->width);
int height = std::min(image->Ysize, baton->height);
VipsImage *extracted;
if (vips_extract_area(image, &extracted, left, top, width, height, NULL)) {
return Error(baton, hook);
}
vips_object_local(hook, extracted);
image = extracted;
}
}
// Post extraction
if (baton->topOffsetPost != -1) {
VipsImage *extractedPost;
if (vips_extract_area(image, &extractedPost, baton->leftOffsetPost, baton->topOffsetPost, baton->widthPost, baton->heightPost, NULL)) {
return Error(baton, hook);
}
vips_object_local(hook, extractedPost);
image = extractedPost;
}
// Blur
if (baton->blurRadius != 0) {
VipsImage *blurred;
if (baton->blurRadius == -1) {
// Fast, mild blur
VipsImage *blur = vips_image_new_matrixv(3, 3,
1.0, 1.0, 1.0,
1.0, 1.0, 1.0,
1.0, 1.0, 1.0);
vips_image_set_double(blur, "scale", 9);
vips_object_local(hook, blur);
if (vips_conv(image, &blurred, blur, NULL)) {
return Error(baton, hook);
}
} else {
// Slower, accurate Gaussian blur
if (vips_gaussblur(image, &blurred, baton->blurRadius, NULL)) {
return Error(baton, hook);
}
}
vips_object_local(hook, blurred);
image = blurred;
}
// Sharpen
if (baton->sharpenRadius != 0) {
VipsImage *sharpened;
if (baton->sharpenRadius == -1) {
// Fast, mild sharpen
VipsImage *sharpen = vips_image_new_matrixv(3, 3,
-1.0, -1.0, -1.0,
-1.0, 32.0, -1.0,
-1.0, -1.0, -1.0);
vips_image_set_double(sharpen, "scale", 24);
vips_object_local(hook, sharpen);
if (vips_conv(image, &sharpened, sharpen, NULL)) {
return Error(baton, hook);
}
} else {
// Slow, accurate sharpen in LAB colour space, with control over flat vs jagged areas
if (vips_sharpen(image, &sharpened, "radius", baton->sharpenRadius, "m1", baton->sharpenFlat, "m2", baton->sharpenJagged, NULL)) {
return Error(baton, hook);
}
}
vips_object_local(hook, sharpened);
image = sharpened;
}
// Gamma decoding (brighten)
if (baton->gamma >= 1 && baton->gamma <= 3) {
VipsImage *gammaDecoded;
if (vips_gamma(image, &gammaDecoded, "exponent", baton->gamma, NULL)) {
return Error(baton, hook);
}
vips_object_local(hook, gammaDecoded);
image = gammaDecoded;
}
// Convert to sRGB colour space, if not already
if (image->Type != VIPS_INTERPRETATION_sRGB) {
VipsImage *colourspaced;
if (vips_colourspace(image, &colourspaced, VIPS_INTERPRETATION_sRGB, NULL)) {
return Error(baton, hook);
}
vips_object_local(hook, colourspaced);
image = colourspaced;
}
#if !(VIPS_MAJOR_VERSION >= 7 && VIPS_MINOR_VERSION >= 40 && VIPS_MINOR_VERSION >= 5)
// Generate image tile cache when interlace output is required - no longer required as of libvips 7.40.5+
if (baton->progressive) {
VipsImage *cached;
if (vips_tilecache(image, &cached, "threaded", TRUE, "persistent", TRUE, "max_tiles", -1, NULL)) {
return Error(baton, hook);
}
vips_object_local(hook, cached);
image = cached;
}
#endif
// Output
if (baton->output == "__jpeg" || (baton->output == "__input" && inputImageType == ImageType::JPEG)) {
// Write JPEG to buffer
if (vips_jpegsave_buffer(image, &baton->bufferOut, &baton->bufferOutLength, "strip", !baton->withMetadata,
"Q", baton->quality, "optimize_coding", TRUE, "interlace", baton->progressive, NULL)) {
return Error(baton, hook);
}
baton->outputFormat = "jpeg";
} else if (baton->output == "__png" || (baton->output == "__input" && inputImageType == ImageType::PNG)) {
#if (VIPS_MAJOR_VERSION >= 7 && VIPS_MINOR_VERSION >= 41)
// Select PNG row filter
int filter = baton->withoutAdaptiveFiltering ? VIPS_FOREIGN_PNG_FILTER_NONE : VIPS_FOREIGN_PNG_FILTER_ALL;
// Write PNG to buffer
if (vips_pngsave_buffer(image, &baton->bufferOut, &baton->bufferOutLength, "strip", !baton->withMetadata,
"compression", baton->compressionLevel, "interlace", baton->progressive, "filter", filter, NULL)) {
return Error(baton, hook);
}
#else
// Write PNG to buffer
if (vips_pngsave_buffer(image, &baton->bufferOut, &baton->bufferOutLength, "strip", !baton->withMetadata,
"compression", baton->compressionLevel, "interlace", baton->progressive, NULL)) {
return Error(baton, hook);
}
#endif
baton->outputFormat = "png";
} else if (baton->output == "__webp" || (baton->output == "__input" && inputImageType == ImageType::WEBP)) {
// Write WEBP to buffer
if (vips_webpsave_buffer(image, &baton->bufferOut, &baton->bufferOutLength, "strip", !baton->withMetadata,
"Q", baton->quality, NULL)) {
return Error(baton, hook);
}
baton->outputFormat = "webp";
} else {
bool outputJpeg = IsJpeg(baton->output);
bool outputPng = IsPng(baton->output);
bool outputWebp = IsWebp(baton->output);
bool outputTiff = IsTiff(baton->output);
bool matchInput = !(outputJpeg || outputPng || outputWebp || outputTiff);
if (outputJpeg || (matchInput && inputImageType == ImageType::JPEG)) {
// Write JPEG to file
if (vips_jpegsave(image, baton->output.c_str(), "strip", !baton->withMetadata,
"Q", baton->quality, "optimize_coding", TRUE, "interlace", baton->progressive, NULL)) {
return Error(baton, hook);
}
baton->outputFormat = "jpeg";
} else if (outputPng || (matchInput && inputImageType == ImageType::PNG)) {
#if (VIPS_MAJOR_VERSION >= 7 && VIPS_MINOR_VERSION >= 41)
// Select PNG row filter
int filter = baton->withoutAdaptiveFiltering ? VIPS_FOREIGN_PNG_FILTER_NONE : VIPS_FOREIGN_PNG_FILTER_ALL;
// Write PNG to file
if (vips_pngsave(image, baton->output.c_str(), "strip", !baton->withMetadata,
"compression", baton->compressionLevel, "interlace", baton->progressive, "filter", filter, NULL)) {
return Error(baton, hook);
}
#else
// Write PNG to file
if (vips_pngsave(image, baton->output.c_str(), "strip", !baton->withMetadata,
"compression", baton->compressionLevel, "interlace", baton->progressive, NULL)) {
return Error(baton, hook);
}
#endif
baton->outputFormat = "png";
} else if (outputWebp || (matchInput && inputImageType == ImageType::WEBP)) {
// Write WEBP to file
if (vips_webpsave(image, baton->output.c_str(), "strip", !baton->withMetadata,
"Q", baton->quality, NULL)) {
return Error(baton, hook);
}
baton->outputFormat = "webp";
} else if (outputTiff || (matchInput && inputImageType == ImageType::TIFF)) {
// Write TIFF to file
if (vips_tiffsave(image, baton->output.c_str(), "strip", !baton->withMetadata,
"compression", VIPS_FOREIGN_TIFF_COMPRESSION_JPEG, "Q", baton->quality, NULL)) {
return Error(baton, hook);
}
baton->outputFormat = "tiff";
} else {
(baton->err).append("Unsupported output " + baton->output);
return Error(baton, hook);
}
}
// Clean up any dangling image references
g_object_unref(hook);
// Clean up libvips' per-request data and threads
vips_error_clear();
vips_thread_shutdown();
}
void HandleOKCallback () {
NanScope();
Handle<Value> argv[3] = { NanNull(), NanNull(), NanNull() };
if (!baton->err.empty()) {
// Error
argv[0] = Exception::Error(NanNew<String>(baton->err.data(), baton->err.size()));
} else {
int width = baton->width;
int height = baton->height;
if (baton->topOffsetPre != -1 && (baton->width == -1 || baton->height == -1)) {
width = baton->widthPre;
height = baton->heightPre;
}
if (baton->topOffsetPost != -1) {
width = baton->widthPost;
height = baton->heightPost;
}
// Info Object
Local<Object> info = NanNew<Object>();
info->Set(NanNew<String>("format"), NanNew<String>(baton->outputFormat));
info->Set(NanNew<String>("width"), NanNew<Number>(width));
info->Set(NanNew<String>("height"), NanNew<Number>(height));
if (baton->bufferOutLength > 0) {
// Buffer
argv[1] = NanNewBufferHandle(static_cast<char*>(baton->bufferOut), baton->bufferOutLength);
g_free(baton->bufferOut);
argv[2] = info;
} else {
// File
argv[1] = info;
}
}
delete baton;
// Decrement processing task counter
g_atomic_int_dec_and_test(&counterProcess);
// Return to JavaScript
callback->Call(3, argv);
}
private:
ResizeBaton* baton;
/*
Calculate the angle of rotation and need-to-flip for the output image.
In order of priority:
1. Use explicitly requested angle (supports 90, 180, 270)
2. Use input image EXIF Orientation header - supports mirroring
3. Otherwise default to zero, i.e. no rotation
*/
std::tuple<Angle, bool>
CalculateRotationAndFlip(int const angle, VipsImage const *input) {
Angle rotate = Angle::D0;
bool flip = FALSE;
if (angle == -1) {
switch(ExifOrientation(input)) {
case 6: rotate = Angle::D90; break;
case 3: rotate = Angle::D180; break;
case 8: rotate = Angle::D270; break;
case 2: flip = TRUE; break; // flip 1
case 7: flip = TRUE; rotate = Angle::D90; break; // flip 6
case 4: flip = TRUE; rotate = Angle::D180; break; // flip 3
case 5: flip = TRUE; rotate = Angle::D270; break; // flip 8
}
} else {
if (angle == 90) {
rotate = Angle::D90;
} else if (angle == 180) {
rotate = Angle::D180;
} else if (angle == 270) {
rotate = Angle::D270;
}
}
return std::make_tuple(rotate, flip);
}
/*
Calculate the (left, top) coordinates of the output image
within the input image, applying the given gravity.
*/
std::tuple<int, int>
CalculateCrop(int const inWidth, int const inHeight, int const outWidth, int const outHeight, int const gravity) {
int left = 0;
int top = 0;
switch (gravity) {
case 1: // North
left = (inWidth - outWidth + 1) / 2;
break;
case 2: // East
left = inWidth - outWidth;
top = (inHeight - outHeight + 1) / 2;
break;
case 3: // South
left = (inWidth - outWidth + 1) / 2;
top = inHeight - outHeight;
break;
case 4: // West
top = (inHeight - outHeight + 1) / 2;
break;
default: // Centre
left = (inWidth - outWidth + 1) / 2;
top = (inHeight - outHeight + 1) / 2;
}
return std::make_tuple(left, top);
}
/*
Copy then clear the error message.
Unref all transitional images on the hook.
Clear all thread-local data.
*/
void Error(ResizeBaton *baton, VipsObject *hook) {
// Get libvips' error message
(baton->err).append(vips_error_buffer());
// Clean up any dangling image references
g_object_unref(hook);
// Clean up libvips' per-request data and threads
vips_error_clear();
vips_thread_shutdown();
}
};
/*
resize(options, output, callback)
*/
NAN_METHOD(resize) {
NanScope();
// V8 objects are converted to non-V8 types held in the baton struct
ResizeBaton *baton = new ResizeBaton;
Local<Object> options = args[0]->ToObject();
// Input filename
baton->fileIn = *String::Utf8Value(options->Get(NanNew<String>("fileIn"))->ToString());
baton->accessMethod = options->Get(NanNew<String>("sequentialRead"))->BooleanValue() ? VIPS_ACCESS_SEQUENTIAL : VIPS_ACCESS_RANDOM;
// Input Buffer object
if (options->Get(NanNew<String>("bufferIn"))->IsObject()) {
Local<Object> buffer = options->Get(NanNew<String>("bufferIn"))->ToObject();
baton->bufferInLength = node::Buffer::Length(buffer);
baton->bufferIn = node::Buffer::Data(buffer);
}
// ICC profile to use when input CMYK image has no embedded profile
baton->iccProfileCmyk = *String::Utf8Value(options->Get(NanNew<String>("iccProfileCmyk"))->ToString());
// Extract image options
baton->topOffsetPre = options->Get(NanNew<String>("topOffsetPre"))->Int32Value();
baton->leftOffsetPre = options->Get(NanNew<String>("leftOffsetPre"))->Int32Value();
baton->widthPre = options->Get(NanNew<String>("widthPre"))->Int32Value();
baton->heightPre = options->Get(NanNew<String>("heightPre"))->Int32Value();
baton->topOffsetPost = options->Get(NanNew<String>("topOffsetPost"))->Int32Value();
baton->leftOffsetPost = options->Get(NanNew<String>("leftOffsetPost"))->Int32Value();
baton->widthPost = options->Get(NanNew<String>("widthPost"))->Int32Value();
baton->heightPost = options->Get(NanNew<String>("heightPost"))->Int32Value();
// Output image dimensions
baton->width = options->Get(NanNew<String>("width"))->Int32Value();
baton->height = options->Get(NanNew<String>("height"))->Int32Value();
// Canvas option
Local<String> canvas = options->Get(NanNew<String>("canvas"))->ToString();
if (canvas->Equals(NanNew<String>("c"))) {
baton->canvas = Canvas::CROP;
} else if (canvas->Equals(NanNew<String>("m"))) {
baton->canvas = Canvas::MAX;
} else if (canvas->Equals(NanNew<String>("e"))) {
baton->canvas = Canvas::EMBED;
}
// Background colour
Local<Array> background = Local<Array>::Cast(options->Get(NanNew<String>("background")));
for (int i = 0; i < 4; i++) {
baton->background[i] = background->Get(i)->NumberValue();
}
// Resize options
baton->withoutEnlargement = options->Get(NanNew<String>("withoutEnlargement"))->BooleanValue();
baton->gravity = options->Get(NanNew<String>("gravity"))->Int32Value();
baton->interpolator = *String::Utf8Value(options->Get(NanNew<String>("interpolator"))->ToString());
// Operators
baton->flatten = options->Get(NanNew<String>("flatten"))->BooleanValue();
baton->blurRadius = options->Get(NanNew<String>("blurRadius"))->Int32Value();
baton->sharpenRadius = options->Get(NanNew<String>("sharpenRadius"))->Int32Value();
baton->sharpenFlat = options->Get(NanNew<String>("sharpenFlat"))->NumberValue();
baton->sharpenJagged = options->Get(NanNew<String>("sharpenJagged"))->NumberValue();
baton->gamma = options->Get(NanNew<String>("gamma"))->NumberValue();
baton->greyscale = options->Get(NanNew<String>("greyscale"))->BooleanValue();
baton->angle = options->Get(NanNew<String>("angle"))->Int32Value();
baton->flip = options->Get(NanNew<String>("flip"))->BooleanValue();
baton->flop = options->Get(NanNew<String>("flop"))->BooleanValue();
// Output options
baton->progressive = options->Get(NanNew<String>("progressive"))->BooleanValue();
baton->quality = options->Get(NanNew<String>("quality"))->Int32Value();
baton->compressionLevel = options->Get(NanNew<String>("compressionLevel"))->Int32Value();
baton->withoutAdaptiveFiltering = options->Get(NanNew<String>("withoutAdaptiveFiltering"))->BooleanValue();
baton->withMetadata = options->Get(NanNew<String>("withMetadata"))->BooleanValue();
// Output filename or __format for Buffer
baton->output = *String::Utf8Value(options->Get(NanNew<String>("output"))->ToString());
// Join queue for worker thread
NanCallback *callback = new NanCallback(args[1].As<v8::Function>());
NanAsyncQueueWorker(new ResizeWorker(callback, baton));
// Increment queued task counter
g_atomic_int_inc(&counterQueue);
NanReturnUndefined();
}