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pipeline.cc
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pipeline.cc
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// Copyright 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020 Lovell Fuller and contributors.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#include <algorithm>
#include <cmath>
#include <map>
#include <memory>
#include <numeric>
#include <string>
#include <tuple>
#include <utility>
#include <vector>
#include <sys/types.h>
#include <sys/stat.h>
#include <vips/vips8>
#include <napi.h>
#include "common.h"
#include "operations.h"
#include "pipeline.h"
#if defined(WIN32)
#define STAT64_STRUCT __stat64
#define STAT64_FUNCTION _stat64
#elif defined(__APPLE__)
#define STAT64_STRUCT stat
#define STAT64_FUNCTION stat
#elif defined(__FreeBSD__) || defined(__OpenBSD__) || defined(__NetBSD__) || defined(__DragonFly__)
#define STAT64_STRUCT stat
#define STAT64_FUNCTION stat
#else
#define STAT64_STRUCT stat64
#define STAT64_FUNCTION stat64
#endif
class PipelineWorker : public Napi::AsyncWorker {
public:
PipelineWorker(Napi::Function callback, PipelineBaton *baton,
Napi::Function debuglog, Napi::Function queueListener) :
Napi::AsyncWorker(callback),
baton(baton),
debuglog(Napi::Persistent(debuglog)),
queueListener(Napi::Persistent(queueListener)) {}
~PipelineWorker() {}
// libuv worker
void Execute() {
// Decrement queued task counter
g_atomic_int_dec_and_test(&sharp::counterQueue);
// Increment processing task counter
g_atomic_int_inc(&sharp::counterProcess);
try {
// Open input
vips::VImage image;
sharp::ImageType inputImageType;
std::tie(image, inputImageType) = sharp::OpenInput(baton->input);
image = sharp::EnsureColourspace(image, baton->colourspaceInput);
// Calculate angle of rotation
VipsAngle rotation;
if (baton->useExifOrientation) {
// Rotate and flip image according to Exif orientation
bool flip;
bool flop;
std::tie(rotation, flip, flop) = CalculateExifRotationAndFlip(sharp::ExifOrientation(image));
baton->flip = baton->flip || flip;
baton->flop = baton->flop || flop;
} else {
rotation = CalculateAngleRotation(baton->angle);
}
// Rotate pre-extract
if (baton->rotateBeforePreExtract) {
if (rotation != VIPS_ANGLE_D0) {
image = image.rot(rotation);
image = sharp::RemoveExifOrientation(image);
}
if (baton->rotationAngle != 0.0) {
std::vector<double> background;
std::tie(image, background) = sharp::ApplyAlpha(image, baton->rotationBackground, FALSE);
image = image.rotate(baton->rotationAngle, VImage::option()->set("background", background));
}
}
// Trim
if (baton->trimThreshold > 0.0) {
image = sharp::Trim(image, baton->trimThreshold);
baton->trimOffsetLeft = image.xoffset();
baton->trimOffsetTop = image.yoffset();
}
// Pre extraction
if (baton->topOffsetPre != -1) {
image = image.extract_area(baton->leftOffsetPre, baton->topOffsetPre, baton->widthPre, baton->heightPre);
}
// Get pre-resize image width and height
int inputWidth = image.width();
int inputHeight = image.height();
if (!baton->rotateBeforePreExtract &&
(rotation == VIPS_ANGLE_D90 || rotation == VIPS_ANGLE_D270)) {
// Swap input output width and height when rotating by 90 or 270 degrees
std::swap(inputWidth, inputHeight);
}
// If withoutEnlargement is specified,
// Override target width and height if exceeds respective value from input file
if (baton->withoutEnlargement) {
if (baton->width > inputWidth) {
baton->width = inputWidth;
}
if (baton->height > inputHeight) {
baton->height = inputHeight;
}
}
// Scaling calculations
double xfactor = 1.0;
double yfactor = 1.0;
int targetResizeWidth = baton->width;
int targetResizeHeight = baton->height;
if (baton->width > 0 && baton->height > 0) {
// Fixed width and height
xfactor = static_cast<double>(inputWidth) / static_cast<double>(baton->width);
yfactor = static_cast<double>(inputHeight) / static_cast<double>(baton->height);
switch (baton->canvas) {
case Canvas::CROP:
if (xfactor < yfactor) {
targetResizeHeight = static_cast<int>(round(static_cast<double>(inputHeight) / xfactor));
yfactor = xfactor;
} else {
targetResizeWidth = static_cast<int>(round(static_cast<double>(inputWidth) / yfactor));
xfactor = yfactor;
}
break;
case Canvas::EMBED:
if (xfactor > yfactor) {
targetResizeHeight = static_cast<int>(round(static_cast<double>(inputHeight) / xfactor));
yfactor = xfactor;
} else {
targetResizeWidth = static_cast<int>(round(static_cast<double>(inputWidth) / yfactor));
xfactor = yfactor;
}
break;
case Canvas::MAX:
if (xfactor > yfactor) {
targetResizeHeight = baton->height = static_cast<int>(round(static_cast<double>(inputHeight) / xfactor));
yfactor = xfactor;
} else {
targetResizeWidth = baton->width = static_cast<int>(round(static_cast<double>(inputWidth) / yfactor));
xfactor = yfactor;
}
break;
case Canvas::MIN:
if (xfactor < yfactor) {
targetResizeHeight = baton->height = static_cast<int>(round(static_cast<double>(inputHeight) / xfactor));
yfactor = xfactor;
} else {
targetResizeWidth = baton->width = static_cast<int>(round(static_cast<double>(inputWidth) / yfactor));
xfactor = yfactor;
}
break;
case Canvas::IGNORE_ASPECT:
if (!baton->rotateBeforePreExtract &&
(rotation == VIPS_ANGLE_D90 || rotation == VIPS_ANGLE_D270)) {
std::swap(xfactor, yfactor);
}
break;
}
} else if (baton->width > 0) {
// Fixed width
xfactor = static_cast<double>(inputWidth) / static_cast<double>(baton->width);
if (baton->canvas == Canvas::IGNORE_ASPECT) {
targetResizeHeight = baton->height = inputHeight;
} else {
// Auto height
yfactor = xfactor;
targetResizeHeight = baton->height = static_cast<int>(round(static_cast<double>(inputHeight) / yfactor));
}
} else if (baton->height > 0) {
// Fixed height
yfactor = static_cast<double>(inputHeight) / static_cast<double>(baton->height);
if (baton->canvas == Canvas::IGNORE_ASPECT) {
targetResizeWidth = baton->width = inputWidth;
} else {
// Auto width
xfactor = yfactor;
targetResizeWidth = baton->width = static_cast<int>(round(static_cast<double>(inputWidth) / xfactor));
}
} else {
// Identity transform
baton->width = inputWidth;
baton->height = inputHeight;
}
// Calculate integral box shrink
int xshrink = std::max(1, static_cast<int>(floor(xfactor)));
int yshrink = std::max(1, static_cast<int>(floor(yfactor)));
// Calculate residual float affine transformation
double xresidual = static_cast<double>(xshrink) / xfactor;
double yresidual = static_cast<double>(yshrink) / yfactor;
// If integral x and y shrink are equal, try to use shrink-on-load for JPEG and WebP,
// but not when applying gamma correction, pre-resize extract, trim or input colourspace
int shrink_on_load = 1;
int shrink_on_load_factor = 1;
// Leave at least a factor of two for the final resize step, when fastShrinkOnLoad: false
// for more consistent results and avoid occasional small image shifting
if (!baton->fastShrinkOnLoad) {
shrink_on_load_factor = 2;
}
if (
xshrink == yshrink && xshrink >= 2 * shrink_on_load_factor &&
(inputImageType == sharp::ImageType::JPEG || inputImageType == sharp::ImageType::WEBP) &&
baton->gamma == 0 && baton->topOffsetPre == -1 && baton->trimThreshold == 0.0 &&
baton->colourspaceInput == VIPS_INTERPRETATION_LAST &&
image.width() > 3 && image.height() > 3 && baton->input->pages == 1
) {
if (xshrink >= 8 * shrink_on_load_factor) {
xfactor = xfactor / 8;
yfactor = yfactor / 8;
shrink_on_load = 8;
} else if (xshrink >= 4 * shrink_on_load_factor) {
xfactor = xfactor / 4;
yfactor = yfactor / 4;
shrink_on_load = 4;
} else if (xshrink >= 2 * shrink_on_load_factor) {
xfactor = xfactor / 2;
yfactor = yfactor / 2;
shrink_on_load = 2;
}
}
// Help ensure a final kernel-based reduction to prevent shrink aliasing
if (shrink_on_load > 1 && (xresidual == 1.0 || yresidual == 1.0)) {
shrink_on_load = shrink_on_load / 2;
xfactor = xfactor * 2;
yfactor = yfactor * 2;
}
if (shrink_on_load > 1) {
// Reload input using shrink-on-load
vips::VOption *option = VImage::option()
->set("access", baton->input->access)
->set("shrink", shrink_on_load)
->set("fail", baton->input->failOnError);
if (baton->input->buffer != nullptr) {
VipsBlob *blob = vips_blob_new(nullptr, baton->input->buffer, baton->input->bufferLength);
if (inputImageType == sharp::ImageType::JPEG) {
// Reload JPEG buffer
image = VImage::jpegload_buffer(blob, option);
} else {
// Reload WebP buffer
image = VImage::webpload_buffer(blob, option);
}
vips_area_unref(reinterpret_cast<VipsArea*>(blob));
} else {
if (inputImageType == sharp::ImageType::JPEG) {
// Reload JPEG file
image = VImage::jpegload(const_cast<char*>(baton->input->file.data()), option);
} else {
// Reload WebP file
image = VImage::webpload(const_cast<char*>(baton->input->file.data()), option);
}
}
// Recalculate integral shrink and double residual
int const shrunkOnLoadWidth = image.width();
int const shrunkOnLoadHeight = image.height();
if (!baton->rotateBeforePreExtract &&
(rotation == VIPS_ANGLE_D90 || rotation == VIPS_ANGLE_D270)) {
// Swap when rotating by 90 or 270 degrees
xfactor = static_cast<double>(shrunkOnLoadWidth) / static_cast<double>(targetResizeHeight);
yfactor = static_cast<double>(shrunkOnLoadHeight) / static_cast<double>(targetResizeWidth);
} else {
xfactor = static_cast<double>(shrunkOnLoadWidth) / static_cast<double>(targetResizeWidth);
yfactor = static_cast<double>(shrunkOnLoadHeight) / static_cast<double>(targetResizeHeight);
}
}
// Remove animation properties from single page images
if (baton->input->pages == 1) {
image = sharp::RemoveAnimationProperties(image);
}
// Ensure we're using a device-independent colour space
char const *processingProfile = image.interpretation() == VIPS_INTERPRETATION_RGB16 ? "p3" : "srgb";
if (
sharp::HasProfile(image) &&
image.interpretation() != VIPS_INTERPRETATION_LABS &&
image.interpretation() != VIPS_INTERPRETATION_GREY16
) {
// Convert to sRGB/P3 using embedded profile
try {
image = image.icc_transform(processingProfile, VImage::option()
->set("embedded", TRUE)
->set("depth", image.interpretation() == VIPS_INTERPRETATION_RGB16 ? 16 : 8)
->set("intent", VIPS_INTENT_PERCEPTUAL));
} catch(...) {
// Ignore failure of embedded profile
}
} else if (image.interpretation() == VIPS_INTERPRETATION_CMYK) {
image = image.icc_transform(processingProfile, VImage::option()
->set("input_profile", "cmyk")
->set("intent", VIPS_INTENT_PERCEPTUAL));
}
// Flatten image to remove alpha channel
if (baton->flatten && sharp::HasAlpha(image)) {
// Scale up 8-bit values to match 16-bit input image
double const multiplier = sharp::Is16Bit(image.interpretation()) ? 256.0 : 1.0;
// Background colour
std::vector<double> background {
baton->flattenBackground[0] * multiplier,
baton->flattenBackground[1] * multiplier,
baton->flattenBackground[2] * multiplier
};
image = image.flatten(VImage::option()
->set("background", background));
}
// Negate the colours in the image
if (baton->negate) {
image = sharp::Negate(image, baton->negateAlpha);
}
// Gamma encoding (darken)
if (baton->gamma >= 1 && baton->gamma <= 3) {
image = sharp::Gamma(image, 1.0 / baton->gamma);
}
// Convert to greyscale (linear, therefore after gamma encoding, if any)
if (baton->greyscale) {
image = image.colourspace(VIPS_INTERPRETATION_B_W);
}
bool const shouldResize = xfactor != 1.0 || yfactor != 1.0;
bool const shouldBlur = baton->blurSigma != 0.0;
bool const shouldConv = baton->convKernelWidth * baton->convKernelHeight > 0;
bool const shouldSharpen = baton->sharpenSigma != 0.0;
bool const shouldApplyMedian = baton->medianSize > 0;
bool const shouldComposite = !baton->composite.empty();
bool const shouldModulate = baton->brightness != 1.0 || baton->saturation != 1.0 ||
baton->hue != 0.0 || baton->lightness != 0.0;
bool const shouldApplyClahe = baton->claheWidth != 0 && baton->claheHeight != 0;
if (shouldComposite && !sharp::HasAlpha(image)) {
image = sharp::EnsureAlpha(image, 1);
}
bool const shouldPremultiplyAlpha = sharp::HasAlpha(image) &&
(shouldResize || shouldBlur || shouldConv || shouldSharpen || shouldComposite);
// Premultiply image alpha channel before all transformations to avoid
// dark fringing around bright pixels
// See: http://entropymine.com/imageworsener/resizealpha/
if (shouldPremultiplyAlpha) {
image = image.premultiply();
}
// Resize
if (shouldResize) {
VipsKernel kernel = static_cast<VipsKernel>(
vips_enum_from_nick(nullptr, VIPS_TYPE_KERNEL, baton->kernel.data()));
if (
kernel != VIPS_KERNEL_NEAREST && kernel != VIPS_KERNEL_CUBIC && kernel != VIPS_KERNEL_LANCZOS2 &&
kernel != VIPS_KERNEL_LANCZOS3 && kernel != VIPS_KERNEL_MITCHELL
) {
throw vips::VError("Unknown kernel");
}
// Ensure shortest edge is at least 1 pixel
if (image.width() / xfactor < 0.5) {
xfactor = 2 * image.width();
if (baton->canvas != Canvas::EMBED) {
baton->width = 1;
}
}
if (image.height() / yfactor < 0.5) {
yfactor = 2 * image.height();
if (baton->canvas != Canvas::EMBED) {
baton->height = 1;
}
}
image = image.resize(1.0 / xfactor, VImage::option()
->set("vscale", 1.0 / yfactor)
->set("kernel", kernel));
}
// Rotate post-extract 90-angle
if (!baton->rotateBeforePreExtract && rotation != VIPS_ANGLE_D0) {
image = image.rot(rotation);
image = sharp::RemoveExifOrientation(image);
}
// Flip (mirror about Y axis)
if (baton->flip) {
image = image.flip(VIPS_DIRECTION_VERTICAL);
image = sharp::RemoveExifOrientation(image);
}
// Flop (mirror about X axis)
if (baton->flop) {
image = image.flip(VIPS_DIRECTION_HORIZONTAL);
image = sharp::RemoveExifOrientation(image);
}
// Join additional color channels to the image
if (baton->joinChannelIn.size() > 0) {
VImage joinImage;
sharp::ImageType joinImageType = sharp::ImageType::UNKNOWN;
for (unsigned int i = 0; i < baton->joinChannelIn.size(); i++) {
std::tie(joinImage, joinImageType) = sharp::OpenInput(baton->joinChannelIn[i]);
joinImage = sharp::EnsureColourspace(joinImage, baton->colourspaceInput);
image = image.bandjoin(joinImage);
}
image = image.copy(VImage::option()->set("interpretation", baton->colourspace));
}
// Crop/embed
if (image.width() != baton->width || image.height() != baton->height) {
if (baton->canvas == Canvas::EMBED) {
std::vector<double> background;
std::tie(image, background) = sharp::ApplyAlpha(image, baton->resizeBackground, shouldPremultiplyAlpha);
// Embed
// Calculate where to position the embeded image if gravity specified, else center.
int left;
int top;
left = static_cast<int>(round((baton->width - image.width()) / 2));
top = static_cast<int>(round((baton->height - image.height()) / 2));
int width = std::max(image.width(), baton->width);
int height = std::max(image.height(), baton->height);
std::tie(left, top) = sharp::CalculateEmbedPosition(
image.width(), image.height(), baton->width, baton->height, baton->position);
image = image.embed(left, top, width, height, VImage::option()
->set("extend", VIPS_EXTEND_BACKGROUND)
->set("background", background));
} else if (
baton->canvas != Canvas::IGNORE_ASPECT &&
(image.width() > baton->width || image.height() > baton->height)
) {
// Crop/max/min
if (baton->position < 9) {
// Gravity-based crop
int left;
int top;
std::tie(left, top) = sharp::CalculateCrop(
image.width(), image.height(), baton->width, baton->height, baton->position);
int width = std::min(image.width(), baton->width);
int height = std::min(image.height(), baton->height);
image = image.extract_area(left, top, width, height);
} else {
// Attention-based or Entropy-based crop
if (baton->width > image.width()) {
baton->width = image.width();
}
if (baton->height > image.height()) {
baton->height = image.height();
}
image = image.tilecache(VImage::option()
->set("access", VIPS_ACCESS_RANDOM)
->set("threaded", TRUE));
image = image.smartcrop(baton->width, baton->height, VImage::option()
->set("interesting", baton->position == 16 ? VIPS_INTERESTING_ENTROPY : VIPS_INTERESTING_ATTENTION));
baton->hasCropOffset = true;
baton->cropOffsetLeft = static_cast<int>(image.xoffset());
baton->cropOffsetTop = static_cast<int>(image.yoffset());
}
}
}
// Rotate post-extract non-90 angle
if (!baton->rotateBeforePreExtract && baton->rotationAngle != 0.0) {
std::vector<double> background;
std::tie(image, background) = sharp::ApplyAlpha(image, baton->rotationBackground, shouldPremultiplyAlpha);
image = image.rotate(baton->rotationAngle, VImage::option()->set("background", background));
}
// Post extraction
if (baton->topOffsetPost != -1) {
image = image.extract_area(
baton->leftOffsetPost, baton->topOffsetPost, baton->widthPost, baton->heightPost);
}
// Affine transform
if (baton->affineMatrix.size() > 0) {
std::vector<double> background;
std::tie(image, background) = sharp::ApplyAlpha(image, baton->affineBackground, shouldPremultiplyAlpha);
image = image.affine(baton->affineMatrix, VImage::option()->set("background", background)
->set("idx", baton->affineIdx)
->set("idy", baton->affineIdy)
->set("odx", baton->affineOdx)
->set("ody", baton->affineOdy)
->set("interpolate", baton->affineInterpolator));
}
// Extend edges
if (baton->extendTop > 0 || baton->extendBottom > 0 || baton->extendLeft > 0 || baton->extendRight > 0) {
std::vector<double> background;
std::tie(image, background) = sharp::ApplyAlpha(image, baton->extendBackground, shouldPremultiplyAlpha);
// Embed
baton->width = image.width() + baton->extendLeft + baton->extendRight;
baton->height = image.height() + baton->extendTop + baton->extendBottom;
image = image.embed(baton->extendLeft, baton->extendTop, baton->width, baton->height,
VImage::option()->set("extend", VIPS_EXTEND_BACKGROUND)->set("background", background));
}
// Median - must happen before blurring, due to the utility of blurring after thresholding
if (shouldApplyMedian) {
image = image.median(baton->medianSize);
}
// Threshold - must happen before blurring, due to the utility of blurring after thresholding
if (baton->threshold != 0) {
image = sharp::Threshold(image, baton->threshold, baton->thresholdGrayscale);
}
// Blur
if (shouldBlur) {
image = sharp::Blur(image, baton->blurSigma);
}
// Convolve
if (shouldConv) {
image = sharp::Convolve(image,
baton->convKernelWidth, baton->convKernelHeight,
baton->convKernelScale, baton->convKernelOffset,
baton->convKernel);
}
// Recomb
if (baton->recombMatrix != NULL) {
image = sharp::Recomb(image, baton->recombMatrix);
}
if (shouldModulate) {
image = sharp::Modulate(image, baton->brightness, baton->saturation, baton->hue, baton->lightness);
}
// Sharpen
if (shouldSharpen) {
image = sharp::Sharpen(image, baton->sharpenSigma, baton->sharpenFlat, baton->sharpenJagged);
}
// Composite
if (shouldComposite) {
for (Composite *composite : baton->composite) {
VImage compositeImage;
sharp::ImageType compositeImageType = sharp::ImageType::UNKNOWN;
std::tie(compositeImage, compositeImageType) = sharp::OpenInput(composite->input);
compositeImage = sharp::EnsureColourspace(compositeImage, baton->colourspaceInput);
// Verify within current dimensions
if (compositeImage.width() > image.width() || compositeImage.height() > image.height()) {
throw vips::VError("Image to composite must have same dimensions or smaller");
}
// Check if overlay is tiled
if (composite->tile) {
int across = 0;
int down = 0;
// Use gravity in overlay
if (compositeImage.width() <= baton->width) {
across = static_cast<int>(ceil(static_cast<double>(image.width()) / compositeImage.width()));
// Ensure odd number of tiles across when gravity is centre, north or south
if (composite->gravity == 0 || composite->gravity == 1 || composite->gravity == 3) {
across |= 1;
}
}
if (compositeImage.height() <= baton->height) {
down = static_cast<int>(ceil(static_cast<double>(image.height()) / compositeImage.height()));
// Ensure odd number of tiles down when gravity is centre, east or west
if (composite->gravity == 0 || composite->gravity == 2 || composite->gravity == 4) {
down |= 1;
}
}
if (across != 0 || down != 0) {
int left;
int top;
compositeImage = compositeImage.replicate(across, down);
if (composite->hasOffset) {
std::tie(left, top) = sharp::CalculateCrop(
compositeImage.width(), compositeImage.height(), image.width(), image.height(),
composite->left, composite->top);
} else {
std::tie(left, top) = sharp::CalculateCrop(
compositeImage.width(), compositeImage.height(), image.width(), image.height(), composite->gravity);
}
compositeImage = compositeImage.extract_area(left, top, image.width(), image.height());
}
// gravity was used for extract_area, set it back to its default value of 0
composite->gravity = 0;
}
// Ensure image to composite is sRGB with premultiplied alpha
compositeImage = compositeImage.colourspace(VIPS_INTERPRETATION_sRGB);
if (!sharp::HasAlpha(compositeImage)) {
compositeImage = sharp::EnsureAlpha(compositeImage, 1);
}
if (!composite->premultiplied) compositeImage = compositeImage.premultiply();
// Calculate position
int left;
int top;
if (composite->hasOffset) {
// Composite image at given offsets
if (composite->tile) {
std::tie(left, top) = sharp::CalculateCrop(image.width(), image.height(),
compositeImage.width(), compositeImage.height(), composite->left, composite->top);
} else {
left = composite->left;
top = composite->top;
}
} else {
// Composite image with given gravity
std::tie(left, top) = sharp::CalculateCrop(image.width(), image.height(),
compositeImage.width(), compositeImage.height(), composite->gravity);
}
// Composite
image = image.composite2(compositeImage, composite->mode, VImage::option()
->set("premultiplied", TRUE)
->set("x", left)
->set("y", top));
}
}
// Reverse premultiplication after all transformations:
if (shouldPremultiplyAlpha) {
image = image.unpremultiply();
// Cast pixel values to integer
if (sharp::Is16Bit(image.interpretation())) {
image = image.cast(VIPS_FORMAT_USHORT);
} else {
image = image.cast(VIPS_FORMAT_UCHAR);
}
}
baton->premultiplied = shouldPremultiplyAlpha;
// Gamma decoding (brighten)
if (baton->gammaOut >= 1 && baton->gammaOut <= 3) {
image = sharp::Gamma(image, baton->gammaOut);
}
// Linear adjustment (a * in + b)
if (baton->linearA != 1.0 || baton->linearB != 0.0) {
image = sharp::Linear(image, baton->linearA, baton->linearB);
}
// Apply normalisation - stretch luminance to cover full dynamic range
if (baton->normalise) {
image = sharp::Normalise(image);
}
// Apply contrast limiting adaptive histogram equalization (CLAHE)
if (shouldApplyClahe) {
image = sharp::Clahe(image, baton->claheWidth, baton->claheHeight, baton->claheMaxSlope);
}
// Apply bitwise boolean operation between images
if (baton->boolean != nullptr) {
VImage booleanImage;
sharp::ImageType booleanImageType = sharp::ImageType::UNKNOWN;
std::tie(booleanImage, booleanImageType) = sharp::OpenInput(baton->boolean);
booleanImage = sharp::EnsureColourspace(booleanImage, baton->colourspaceInput);
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 = sharp::Bandbool(image, baton->bandBoolOp);
}
// Tint the image
if (baton->tintA < 128.0 || baton->tintB < 128.0) {
image = sharp::Tint(image, baton->tintA, baton->tintB);
}
// Extract an image channel (aka vips band)
if (baton->extractChannel > -1) {
if (baton->extractChannel >= image.bands()) {
if (baton->extractChannel == 3 && sharp::HasAlpha(image)) {
baton->extractChannel = image.bands() - 1;
} else {
(baton->err).append("Cannot extract channel from image. Too few channels in image.");
return Error();
}
}
VipsInterpretation const interpretation = sharp::Is16Bit(image.interpretation())
? VIPS_INTERPRETATION_GREY16
: VIPS_INTERPRETATION_B_W;
image = image
.extract_band(baton->extractChannel)
.copy(VImage::option()->set("interpretation", interpretation));
}
// Remove alpha channel, if any
if (baton->removeAlpha) {
image = sharp::RemoveAlpha(image);
}
// Ensure alpha channel, if missing
if (baton->ensureAlpha != -1) {
image = sharp::EnsureAlpha(image, baton->ensureAlpha);
}
// Convert image to sRGB, if not already
if (sharp::Is16Bit(image.interpretation())) {
image = image.cast(VIPS_FORMAT_USHORT);
}
if (image.interpretation() != baton->colourspace) {
// Convert colourspace, pass the current known interpretation so libvips doesn't have to guess
image = image.colourspace(baton->colourspace, VImage::option()->set("source_space", image.interpretation()));
// Transform colours from embedded profile to output profile
if (baton->withMetadata && sharp::HasProfile(image) && baton->withMetadataIcc.empty()) {
image = image.icc_transform("srgb", VImage::option()
->set("embedded", TRUE)
->set("intent", VIPS_INTENT_PERCEPTUAL));
}
}
// Apply output ICC profile
if (!baton->withMetadataIcc.empty()) {
image = image.icc_transform(
const_cast<char*>(baton->withMetadataIcc.data()),
VImage::option()
->set("input_profile", processingProfile)
->set("embedded", TRUE)
->set("intent", VIPS_INTENT_PERCEPTUAL));
}
// Override EXIF Orientation tag
if (baton->withMetadata && baton->withMetadataOrientation != -1) {
image = sharp::SetExifOrientation(image, baton->withMetadataOrientation);
}
// Override pixel density
if (baton->withMetadataDensity > 0) {
image = sharp::SetDensity(image, baton->withMetadataDensity);
}
// Metadata key/value pairs, e.g. EXIF
if (!baton->withMetadataStrs.empty()) {
image = image.copy();
for (const auto& s : baton->withMetadataStrs) {
image.set(s.first.data(), s.second.data());
}
}
// Number of channels used in output image
baton->channels = image.bands();
baton->width = image.width();
baton->height = image.height();
bool const supportsGifOutput = vips_type_find("VipsOperation", "magicksave") != 0 &&
vips_type_find("VipsOperation", "magicksave_buffer") != 0;
image = sharp::SetAnimationProperties(
image,
baton->pageHeight,
baton->delay,
baton->loop);
// Output
sharp::SetTimeout(image, baton->timeoutSeconds);
if (baton->fileOut.empty()) {
// Buffer output
if (baton->formatOut == "jpeg" || (baton->formatOut == "input" && inputImageType == sharp::ImageType::JPEG)) {
// Write JPEG to buffer
sharp::AssertImageTypeDimensions(image, sharp::ImageType::JPEG);
VipsArea *area = reinterpret_cast<VipsArea*>(image.jpegsave_buffer(VImage::option()
->set("strip", !baton->withMetadata)
->set("Q", baton->jpegQuality)
->set("interlace", baton->jpegProgressive)
->set("subsample_mode", baton->jpegChromaSubsampling == "4:4:4"
? VIPS_FOREIGN_SUBSAMPLE_OFF
: VIPS_FOREIGN_SUBSAMPLE_ON)
->set("trellis_quant", baton->jpegTrellisQuantisation)
->set("quant_table", baton->jpegQuantisationTable)
->set("overshoot_deringing", baton->jpegOvershootDeringing)
->set("optimize_scans", baton->jpegOptimiseScans)
->set("optimize_coding", baton->jpegOptimiseCoding)));
baton->bufferOut = static_cast<char*>(area->data);
baton->bufferOutLength = area->length;
area->free_fn = nullptr;
vips_area_unref(area);
baton->formatOut = "jpeg";
if (baton->colourspace == VIPS_INTERPRETATION_CMYK) {
baton->channels = std::min(baton->channels, 4);
} else {
baton->channels = std::min(baton->channels, 3);
}
} else if (baton->formatOut == "jp2" || (baton->formatOut == "input"
&& inputImageType == sharp::ImageType::JP2)) {
// Write JP2 to Buffer
sharp::AssertImageTypeDimensions(image, sharp::ImageType::JP2);
VipsArea *area = reinterpret_cast<VipsArea*>(image.jp2ksave_buffer(VImage::option()
->set("Q", baton->jp2Quality)
->set("lossless", baton->jp2Lossless)
->set("subsample_mode", baton->jp2ChromaSubsampling == "4:4:4"
? VIPS_FOREIGN_SUBSAMPLE_OFF : VIPS_FOREIGN_SUBSAMPLE_ON)
->set("tile_height", baton->jp2TileHeight)
->set("tile_width", baton->jp2TileWidth)));
baton->bufferOut = static_cast<char*>(area->data);
baton->bufferOutLength = area->length;
area->free_fn = nullptr;
vips_area_unref(area);
baton->formatOut = "jp2";
} else if (baton->formatOut == "png" || (baton->formatOut == "input" &&
(inputImageType == sharp::ImageType::PNG || (inputImageType == sharp::ImageType::GIF && !supportsGifOutput) ||
inputImageType == sharp::ImageType::SVG))) {
// Write PNG to buffer
sharp::AssertImageTypeDimensions(image, sharp::ImageType::PNG);
VipsArea *area = reinterpret_cast<VipsArea*>(image.pngsave_buffer(VImage::option()
->set("strip", !baton->withMetadata)
->set("interlace", baton->pngProgressive)
->set("compression", baton->pngCompressionLevel)
->set("filter", baton->pngAdaptiveFiltering ? VIPS_FOREIGN_PNG_FILTER_ALL : VIPS_FOREIGN_PNG_FILTER_NONE)
->set("palette", baton->pngPalette)
->set("Q", baton->pngQuality)
->set("bitdepth", baton->pngBitdepth)
->set("dither", baton->pngDither)));
baton->bufferOut = static_cast<char*>(area->data);
baton->bufferOutLength = area->length;
area->free_fn = nullptr;
vips_area_unref(area);
baton->formatOut = "png";
} else if (baton->formatOut == "webp" ||
(baton->formatOut == "input" && inputImageType == sharp::ImageType::WEBP)) {
// Write WEBP to buffer
sharp::AssertImageTypeDimensions(image, sharp::ImageType::WEBP);
VipsArea *area = reinterpret_cast<VipsArea*>(image.webpsave_buffer(VImage::option()
->set("strip", !baton->withMetadata)
->set("Q", baton->webpQuality)
->set("lossless", baton->webpLossless)
->set("near_lossless", baton->webpNearLossless)
->set("smart_subsample", baton->webpSmartSubsample)
->set("reduction_effort", baton->webpReductionEffort)
->set("alpha_q", baton->webpAlphaQuality)));
baton->bufferOut = static_cast<char*>(area->data);
baton->bufferOutLength = area->length;
area->free_fn = nullptr;
vips_area_unref(area);
baton->formatOut = "webp";
} else if (baton->formatOut == "gif" ||
(baton->formatOut == "input" && inputImageType == sharp::ImageType::GIF && supportsGifOutput)) {
// Write GIF to buffer
sharp::AssertImageTypeDimensions(image, sharp::ImageType::GIF);
VipsArea *area = reinterpret_cast<VipsArea*>(image.magicksave_buffer(VImage::option()
->set("strip", !baton->withMetadata)
->set("optimize_gif_frames", TRUE)
->set("optimize_gif_transparency", TRUE)
->set("format", "gif")));
baton->bufferOut = static_cast<char*>(area->data);
baton->bufferOutLength = area->length;
area->free_fn = nullptr;
vips_area_unref(area);
baton->formatOut = "gif";
} else if (baton->formatOut == "tiff" ||
(baton->formatOut == "input" && inputImageType == sharp::ImageType::TIFF)) {
// Write TIFF to buffer
if (baton->tiffCompression == VIPS_FOREIGN_TIFF_COMPRESSION_JPEG) {
sharp::AssertImageTypeDimensions(image, sharp::ImageType::JPEG);
baton->channels = std::min(baton->channels, 3);
}
// Cast pixel values to float, if required
if (baton->tiffPredictor == VIPS_FOREIGN_TIFF_PREDICTOR_FLOAT) {
image = image.cast(VIPS_FORMAT_FLOAT);
}
VipsArea *area = reinterpret_cast<VipsArea*>(image.tiffsave_buffer(VImage::option()
->set("strip", !baton->withMetadata)
->set("Q", baton->tiffQuality)
->set("bitdepth", baton->tiffBitdepth)
->set("compression", baton->tiffCompression)
->set("predictor", baton->tiffPredictor)
->set("pyramid", baton->tiffPyramid)
->set("tile", baton->tiffTile)
->set("tile_height", baton->tiffTileHeight)
->set("tile_width", baton->tiffTileWidth)
->set("xres", baton->tiffXres)
->set("yres", baton->tiffYres)));
baton->bufferOut = static_cast<char*>(area->data);
baton->bufferOutLength = area->length;
area->free_fn = nullptr;
vips_area_unref(area);
baton->formatOut = "tiff";
} else if (baton->formatOut == "heif" ||
(baton->formatOut == "input" && inputImageType == sharp::ImageType::HEIF)) {
// Write HEIF to buffer
image = sharp::RemoveAnimationProperties(image);
VipsArea *area = reinterpret_cast<VipsArea*>(image.heifsave_buffer(VImage::option()
->set("strip", !baton->withMetadata)
->set("Q", baton->heifQuality)
->set("compression", baton->heifCompression)
->set("speed", baton->heifSpeed)
->set("subsample_mode", baton->heifChromaSubsampling == "4:4:4"
? VIPS_FOREIGN_SUBSAMPLE_OFF : VIPS_FOREIGN_SUBSAMPLE_ON)
->set("lossless", baton->heifLossless)));
baton->bufferOut = static_cast<char*>(area->data);
baton->bufferOutLength = area->length;
area->free_fn = nullptr;
vips_area_unref(area);
baton->formatOut = "heif";
} else if (baton->formatOut == "raw" ||
(baton->formatOut == "input" && inputImageType == sharp::ImageType::RAW)) {
// Write raw, uncompressed image data to buffer
if (baton->greyscale || image.interpretation() == VIPS_INTERPRETATION_B_W) {
// Extract first band for greyscale image
image = image[0];
baton->channels = 1;
}
if (image.format() != baton->rawDepth) {
// Cast pixels to requested format
image = image.cast(baton->rawDepth);
}
// Get raw image data
baton->bufferOut = static_cast<char*>(image.write_to_memory(&baton->bufferOutLength));
if (baton->bufferOut == nullptr) {
(baton->err).append("Could not allocate enough memory for raw output");
return Error();
}
baton->formatOut = "raw";
} else {
// Unsupported output format
(baton->err).append("Unsupported output format ");
if (baton->formatOut == "input") {
(baton->err).append(ImageTypeId(inputImageType));
} else {
(baton->err).append(baton->formatOut);
}
return Error();
}
} else {
// File output
bool const isJpeg = sharp::IsJpeg(baton->fileOut);
bool const isPng = sharp::IsPng(baton->fileOut);
bool const isWebp = sharp::IsWebp(baton->fileOut);
bool const isGif = sharp::IsGif(baton->fileOut);
bool const isTiff = sharp::IsTiff(baton->fileOut);
bool const isJp2 = sharp::IsJp2(baton->fileOut);
bool const isHeif = sharp::IsHeif(baton->fileOut);
bool const isDz = sharp::IsDz(baton->fileOut);
bool const isDzZip = sharp::IsDzZip(baton->fileOut);
bool const isV = sharp::IsV(baton->fileOut);
bool const mightMatchInput = baton->formatOut == "input";
bool const willMatchInput = mightMatchInput &&
!(isJpeg || isPng || isWebp || isGif || isTiff || isJp2 || isHeif || isDz || isDzZip || isV);
if (baton->formatOut == "jpeg" || (mightMatchInput && isJpeg) ||
(willMatchInput && inputImageType == sharp::ImageType::JPEG)) {
// Write JPEG to file
sharp::AssertImageTypeDimensions(image, sharp::ImageType::JPEG);
image.jpegsave(const_cast<char*>(baton->fileOut.data()), VImage::option()
->set("strip", !baton->withMetadata)
->set("Q", baton->jpegQuality)
->set("interlace", baton->jpegProgressive)
->set("subsample_mode", baton->jpegChromaSubsampling == "4:4:4"
? VIPS_FOREIGN_SUBSAMPLE_OFF
: VIPS_FOREIGN_SUBSAMPLE_ON)
->set("trellis_quant", baton->jpegTrellisQuantisation)
->set("quant_table", baton->jpegQuantisationTable)
->set("overshoot_deringing", baton->jpegOvershootDeringing)
->set("optimize_scans", baton->jpegOptimiseScans)
->set("optimize_coding", baton->jpegOptimiseCoding));
baton->formatOut = "jpeg";
baton->channels = std::min(baton->channels, 3);
} else if (baton->formatOut == "jp2" || (mightMatchInput && isJp2) ||
(willMatchInput && (inputImageType == sharp::ImageType::JP2))) {
// Write JP2 to file
sharp::AssertImageTypeDimensions(image, sharp::ImageType::JP2);
image.jp2ksave(const_cast<char*>(baton->fileOut.data()), VImage::option()
->set("Q", baton->jp2Quality)
->set("lossless", baton->jp2Lossless)
->set("subsample_mode", baton->jp2ChromaSubsampling == "4:4:4"
? VIPS_FOREIGN_SUBSAMPLE_OFF : VIPS_FOREIGN_SUBSAMPLE_ON)
->set("tile_height", baton->jp2TileHeight)
->set("tile_width", baton->jp2TileWidth));
baton->formatOut = "jp2";
} else if (baton->formatOut == "png" || (mightMatchInput && isPng) || (willMatchInput &&
(inputImageType == sharp::ImageType::PNG || (inputImageType == sharp::ImageType::GIF && !supportsGifOutput) ||
inputImageType == sharp::ImageType::SVG))) {
// Write PNG to file
sharp::AssertImageTypeDimensions(image, sharp::ImageType::PNG);
image.pngsave(const_cast<char*>(baton->fileOut.data()), VImage::option()
->set("strip", !baton->withMetadata)
->set("interlace", baton->pngProgressive)
->set("compression", baton->pngCompressionLevel)
->set("filter", baton->pngAdaptiveFiltering ? VIPS_FOREIGN_PNG_FILTER_ALL : VIPS_FOREIGN_PNG_FILTER_NONE)
->set("palette", baton->pngPalette)
->set("Q", baton->pngQuality)