/
pipeline.cc
1614 lines (1504 loc) · 72.3 KB
/
pipeline.cc
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
// 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);
int nPages = baton->input->pages;
if (nPages == -1) {
// Resolve the number of pages if we need to render until the end of the document
nPages = image.get_typeof(VIPS_META_N_PAGES) != 0
? image.get_int(VIPS_META_N_PAGES) - baton->input->page
: 1;
}
// Get pre-resize page height
int pageHeight = sharp::GetPageHeight(image);
// Calculate angle of rotation
VipsAngle rotation;
bool flip = FALSE;
bool flop = FALSE;
if (baton->useExifOrientation) {
// Rotate and flip image according to Exif orientation
std::tie(rotation, flip, flop) = CalculateExifRotationAndFlip(sharp::ExifOrientation(image));
} else {
rotation = CalculateAngleRotation(baton->angle);
}
// Rotate pre-extract
if (baton->rotateBeforePreExtract) {
if (rotation != VIPS_ANGLE_D0) {
image = image.rot(rotation);
if (flip) {
image = image.flip(VIPS_DIRECTION_VERTICAL);
flip = FALSE;
}
if (flop) {
image = image.flip(VIPS_DIRECTION_HORIZONTAL);
flop = FALSE;
}
image = sharp::RemoveExifOrientation(image);
}
if (baton->rotationAngle != 0.0) {
MultiPageUnsupported(nPages, "Rotate");
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) {
MultiPageUnsupported(nPages, "Trim");
image = sharp::Trim(image, baton->trimThreshold);
baton->trimOffsetLeft = image.xoffset();
baton->trimOffsetTop = image.yoffset();
}
// Pre extraction
if (baton->topOffsetPre != -1) {
image = nPages > 1
? sharp::CropMultiPage(image,
baton->leftOffsetPre, baton->topOffsetPre, baton->widthPre, baton->heightPre, nPages, &pageHeight)
: 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();
// Is there just one page? Shrink to inputHeight instead
if (nPages == 1) {
pageHeight = inputHeight;
}
// Scaling calculations
double hshrink;
double vshrink;
int targetResizeWidth = baton->width;
int targetResizeHeight = baton->height;
// Swap input output width and height when rotating by 90 or 270 degrees
bool swap = !baton->rotateBeforePreExtract && (rotation == VIPS_ANGLE_D90 || rotation == VIPS_ANGLE_D270);
// Shrink to pageHeight, so we work for multi-page images
std::tie(hshrink, vshrink) = sharp::ResolveShrink(
inputWidth, pageHeight, targetResizeWidth, targetResizeHeight,
baton->canvas, swap, baton->withoutEnlargement, baton->withoutReduction);
// The jpeg preload shrink.
int jpegShrinkOnLoad = 1;
// WebP, PDF, SVG scale
double scale = 1.0;
// Try to reload input using shrink-on-load for JPEG, WebP, SVG and PDF, when:
// - the width or height parameters are specified;
// - gamma correction doesn't need to be applied;
// - trimming or pre-resize extract isn't required;
// - input colourspace is not specified;
bool const shouldPreShrink = (targetResizeWidth > 0 || targetResizeHeight > 0) &&
baton->gamma == 0 && baton->topOffsetPre == -1 && baton->trimThreshold == 0.0 &&
baton->colourspaceInput == VIPS_INTERPRETATION_LAST;
if (shouldPreShrink) {
// The common part of the shrink: the bit by which both axes must be shrunk
double shrink = std::min(hshrink, vshrink);
if (inputImageType == sharp::ImageType::JPEG) {
// Leave at least a factor of two for the final resize step, when fastShrinkOnLoad: false
// for more consistent results and to avoid extra sharpness to the image
int factor = baton->fastShrinkOnLoad ? 1 : 2;
if (shrink >= 8 * factor) {
jpegShrinkOnLoad = 8;
} else if (shrink >= 4 * factor) {
jpegShrinkOnLoad = 4;
} else if (shrink >= 2 * factor) {
jpegShrinkOnLoad = 2;
}
// Lower shrink-on-load for known libjpeg rounding errors
if (jpegShrinkOnLoad > 1 && static_cast<int>(shrink) == jpegShrinkOnLoad) {
jpegShrinkOnLoad /= 2;
}
} else if (inputImageType == sharp::ImageType::WEBP ||
inputImageType == sharp::ImageType::SVG ||
inputImageType == sharp::ImageType::PDF) {
scale = 1.0 / shrink;
}
}
// Reload input using shrink-on-load, it'll be an integer shrink
// factor for jpegload*, a double scale factor for webpload*,
// pdfload* and svgload*
if (jpegShrinkOnLoad > 1) {
vips::VOption *option = VImage::option()
->set("access", baton->input->access)
->set("shrink", jpegShrinkOnLoad)
->set("fail", baton->input->failOnError);
if (baton->input->buffer != nullptr) {
// Reload JPEG buffer
VipsBlob *blob = vips_blob_new(nullptr, baton->input->buffer, baton->input->bufferLength);
image = VImage::jpegload_buffer(blob, option);
vips_area_unref(reinterpret_cast<VipsArea*>(blob));
} else {
// Reload JPEG file
image = VImage::jpegload(const_cast<char*>(baton->input->file.data()), option);
}
} else if (scale != 1.0) {
vips::VOption *option = VImage::option()
->set("access", baton->input->access)
->set("scale", scale)
->set("fail", baton->input->failOnError);
if (inputImageType == sharp::ImageType::WEBP) {
option->set("n", baton->input->pages);
option->set("page", baton->input->page);
if (baton->input->buffer != nullptr) {
// Reload WebP buffer
VipsBlob *blob = vips_blob_new(nullptr, baton->input->buffer, baton->input->bufferLength);
image = VImage::webpload_buffer(blob, option);
vips_area_unref(reinterpret_cast<VipsArea*>(blob));
} else {
// Reload WebP file
image = VImage::webpload(const_cast<char*>(baton->input->file.data()), option);
}
} else if (inputImageType == sharp::ImageType::SVG) {
option->set("unlimited", baton->input->unlimited);
option->set("dpi", baton->input->density);
if (baton->input->buffer != nullptr) {
// Reload SVG buffer
VipsBlob *blob = vips_blob_new(nullptr, baton->input->buffer, baton->input->bufferLength);
image = VImage::svgload_buffer(blob, option);
vips_area_unref(reinterpret_cast<VipsArea*>(blob));
} else {
// Reload SVG file
image = VImage::svgload(const_cast<char*>(baton->input->file.data()), option);
}
sharp::SetDensity(image, baton->input->density);
} else if (inputImageType == sharp::ImageType::PDF) {
option->set("n", baton->input->pages);
option->set("page", baton->input->page);
option->set("dpi", baton->input->density);
if (baton->input->buffer != nullptr) {
// Reload PDF buffer
VipsBlob *blob = vips_blob_new(nullptr, baton->input->buffer, baton->input->bufferLength);
image = VImage::pdfload_buffer(blob, option);
vips_area_unref(reinterpret_cast<VipsArea*>(blob));
} else {
// Reload PDF file
image = VImage::pdfload(const_cast<char*>(baton->input->file.data()), option);
}
sharp::SetDensity(image, baton->input->density);
}
}
// Any pre-shrinking may already have been done
inputWidth = image.width();
inputHeight = image.height();
// After pre-shrink, but before the main shrink stage
// Reuse the initial pageHeight if we didn't pre-shrink
if (shouldPreShrink) {
pageHeight = sharp::GetPageHeight(image);
}
// Shrink to pageHeight, so we work for multi-page images
std::tie(hshrink, vshrink) = sharp::ResolveShrink(
inputWidth, pageHeight, targetResizeWidth, targetResizeHeight,
baton->canvas, swap, baton->withoutEnlargement, baton->withoutReduction);
int targetHeight = static_cast<int>(std::rint(static_cast<double>(pageHeight) / vshrink));
int targetPageHeight = targetHeight;
// In toilet-roll mode, we must adjust vshrink so that we exactly hit
// pageHeight or we'll have pixels straddling pixel boundaries
if (inputHeight > pageHeight) {
targetHeight *= nPages;
vshrink = static_cast<double>(inputHeight) / targetHeight;
}
// 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 &&
image.interpretation() != VIPS_INTERPRETATION_B_W
) {
// 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 = hshrink != 1.0 || vshrink != 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);
// 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");
}
image = image.resize(1.0 / hshrink, VImage::option()
->set("vscale", 1.0 / vshrink)
->set("kernel", kernel));
}
// Rotate post-extract 90-angle
if (!baton->rotateBeforePreExtract && rotation != VIPS_ANGLE_D0) {
image = image.rot(rotation);
if (flip) {
image = image.flip(VIPS_DIRECTION_VERTICAL);
flip = FALSE;
}
if (flop) {
image = image.flip(VIPS_DIRECTION_HORIZONTAL);
flop = FALSE;
}
image = sharp::RemoveExifOrientation(image);
}
// Flip (mirror about Y axis)
if (baton->flip || flip) {
image = image.flip(VIPS_DIRECTION_VERTICAL);
image = sharp::RemoveExifOrientation(image);
}
// Flop (mirror about X axis)
if (baton->flop || 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));
}
inputWidth = image.width();
inputHeight = nPages > 1 ? targetPageHeight : image.height();
// Resolve dimensions
if (baton->width <= 0) {
baton->width = inputWidth;
}
if (baton->height <= 0) {
baton->height = inputHeight;
}
// Crop/embed
if (inputWidth != baton->width || inputHeight != baton->height) {
if (baton->canvas == sharp::Canvas::EMBED) {
std::vector<double> background;
std::tie(image, background) = sharp::ApplyAlpha(image, baton->resizeBackground, shouldPremultiplyAlpha);
// Embed
// Calculate where to position the embedded image if gravity specified, else center.
int left;
int top;
left = static_cast<int>(round((baton->width - inputWidth) / 2));
top = static_cast<int>(round((baton->height - inputHeight) / 2));
int width = std::max(inputWidth, baton->width);
int height = std::max(inputHeight, baton->height);
std::tie(left, top) = sharp::CalculateEmbedPosition(
inputWidth, inputHeight, baton->width, baton->height, baton->position);
image = nPages > 1
? sharp::EmbedMultiPage(image,
left, top, width, height, background, nPages, &targetPageHeight)
: image.embed(left, top, width, height, VImage::option()
->set("extend", VIPS_EXTEND_BACKGROUND)
->set("background", background));
} else if (baton->canvas == sharp::Canvas::CROP) {
if (baton->width > inputWidth) {
baton->width = inputWidth;
}
if (baton->height > inputHeight) {
baton->height = inputHeight;
}
// Crop
if (baton->position < 9) {
// Gravity-based crop
int left;
int top;
std::tie(left, top) = sharp::CalculateCrop(
inputWidth, inputHeight, baton->width, baton->height, baton->position);
int width = std::min(inputWidth, baton->width);
int height = std::min(inputHeight, baton->height);
image = nPages > 1
? sharp::CropMultiPage(image,
left, top, width, height, nPages, &targetPageHeight)
: image.extract_area(left, top, width, height);
} else {
// Attention-based or Entropy-based crop
MultiPageUnsupported(nPages, "Resize strategy");
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) {
MultiPageUnsupported(nPages, "Rotate");
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) {
if (nPages > 1) {
image = sharp::CropMultiPage(image,
baton->leftOffsetPost, baton->topOffsetPost, baton->widthPost, baton->heightPost,
nPages, &targetPageHeight);
// heightPost is used in the info object, so update to reflect the number of pages
baton->heightPost *= nPages;
} else {
image = image.extract_area(
baton->leftOffsetPost, baton->topOffsetPost, baton->widthPost, baton->heightPost);
}
}
// Affine transform
if (baton->affineMatrix.size() > 0) {
MultiPageUnsupported(nPages, "Affine");
std::vector<double> background;
std::tie(image, background) = sharp::ApplyAlpha(image, baton->affineBackground, shouldPremultiplyAlpha);
vips::VInterpolate interp = vips::VInterpolate::new_from_name(
const_cast<char*>(baton->affineInterpolator.data()));
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", interp));
}
// 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 = (nPages > 1 ? targetPageHeight : image.height()) + baton->extendTop + baton->extendBottom;
image = nPages > 1
? sharp::EmbedMultiPage(image,
baton->extendLeft, baton->extendTop, baton->width, baton->height, background, nPages, &targetPageHeight)
: 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->sharpenM1, baton->sharpenM2,
baton->sharpenX1, baton->sharpenY2, baton->sharpenY3);
}
// Composite
if (shouldComposite) {
std::vector<VImage> images = { image };
std::vector<int> modes, xs, ys;
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 unpremultiplied alpha
compositeImage = compositeImage.colourspace(VIPS_INTERPRETATION_sRGB);
if (!sharp::HasAlpha(compositeImage)) {
compositeImage = sharp::EnsureAlpha(compositeImage, 1);
}
if (composite->premultiplied) compositeImage = compositeImage.unpremultiply();
// 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);
}
images.push_back(compositeImage);
modes.push_back(composite->mode);
xs.push_back(left);
ys.push_back(top);
}
image = image.composite(images, modes, VImage::option()->set("x", xs)->set("y", ys));
}
// 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();
image = sharp::SetAnimationProperties(
image, nPages, targetPageHeight, 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::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("effort", baton->pngEffort)
->set("bitdepth", sharp::Is16Bit(image.interpretation()) ? 16 : 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("effort", baton->webpEffort)
->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)) {
// Write GIF to buffer
sharp::AssertImageTypeDimensions(image, sharp::ImageType::GIF);
VipsArea *area = reinterpret_cast<VipsArea*>(image.gifsave_buffer(VImage::option()
->set("strip", !baton->withMetadata)
->set("bitdepth", baton->gifBitdepth)
->set("effort", baton->gifEffort)
->set("dither", baton->gifDither)));
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)
->set("resunit", baton->tiffResolutionUnit)));
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("effort", baton->heifEffort)
->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)