cb3c02005c
This lets clients access and use the same RGB to YUV matrices that we use internally. Inspired by https://crrev.com/c/3223983 Bug: skia:12545 Change-Id: I7f70f56e721819c3d33da447eff2e572b7774c51 Reviewed-on: https://skia-review.googlesource.com/c/skia/+/461476 Commit-Queue: Brian Osman <brianosman@google.com> Reviewed-by: Robert Phillips <robertphillips@google.com>
163 lines
6.1 KiB
C++
163 lines
6.1 KiB
C++
/*
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* Copyright 2013 Google Inc.
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*
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* Use of this source code is governed by a BSD-style license that can be
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* found in the LICENSE file.
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*/
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#include "include/codec/SkCodec.h"
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#include "include/core/SkPixmap.h"
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#include "include/core/SkStream.h"
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#include "include/private/SkTemplates.h"
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#include "src/core/SkAutoMalloc.h"
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#include "tests/Test.h"
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#include "tools/Resources.h"
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static void codec_yuv(skiatest::Reporter* reporter,
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const char path[],
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const SkYUVAInfo* expectedInfo) {
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std::unique_ptr<SkStream> stream(GetResourceAsStream(path));
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if (!stream) {
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return;
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}
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std::unique_ptr<SkCodec> codec(SkCodec::MakeFromStream(std::move(stream)));
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REPORTER_ASSERT(reporter, codec);
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if (!codec) {
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return;
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}
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// Test queryYUBAInfo()
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SkYUVAPixmapInfo yuvaPixmapInfo;
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static constexpr auto kAllTypes = SkYUVAPixmapInfo::SupportedDataTypes::All();
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static constexpr auto kNoTypes = SkYUVAPixmapInfo::SupportedDataTypes();
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// SkYUVAInfo param is required to be non-null.
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bool success = codec->queryYUVAInfo(kAllTypes, nullptr);
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REPORTER_ASSERT(reporter, !success);
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// Fails when there is no support for YUVA planes.
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success = codec->queryYUVAInfo(kNoTypes, &yuvaPixmapInfo);
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REPORTER_ASSERT(reporter, !success);
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success = codec->queryYUVAInfo(kAllTypes, &yuvaPixmapInfo);
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REPORTER_ASSERT(reporter, SkToBool(expectedInfo) == success);
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if (!success) {
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return;
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}
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REPORTER_ASSERT(reporter, *expectedInfo == yuvaPixmapInfo.yuvaInfo());
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int numPlanes = yuvaPixmapInfo.numPlanes();
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REPORTER_ASSERT(reporter, numPlanes <= SkYUVAInfo::kMaxPlanes);
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for (int i = 0; i < numPlanes; ++i) {
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const SkImageInfo& planeInfo = yuvaPixmapInfo.planeInfo(i);
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SkColorType planeCT = planeInfo.colorType();
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REPORTER_ASSERT(reporter, !planeInfo.isEmpty());
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REPORTER_ASSERT(reporter, planeCT != kUnknown_SkColorType);
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REPORTER_ASSERT(reporter, planeInfo.validRowBytes(yuvaPixmapInfo.rowBytes(i)));
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// Currently all planes must share a data type, gettable as SkYUVAPixmapInfo::dataType().
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auto [numChannels, planeDataType] = SkYUVAPixmapInfo::NumChannelsAndDataType(planeCT);
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REPORTER_ASSERT(reporter, planeDataType == yuvaPixmapInfo.dataType());
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}
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for (int i = numPlanes; i < SkYUVAInfo::kMaxPlanes; ++i) {
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const SkImageInfo& planeInfo = yuvaPixmapInfo.planeInfo(i);
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REPORTER_ASSERT(reporter, planeInfo.dimensions().isEmpty());
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REPORTER_ASSERT(reporter, planeInfo.colorType() == kUnknown_SkColorType);
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REPORTER_ASSERT(reporter, yuvaPixmapInfo.rowBytes(i) == 0);
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}
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// Allocate the memory for the YUV decode.
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auto pixmaps = SkYUVAPixmaps::Allocate(yuvaPixmapInfo);
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REPORTER_ASSERT(reporter, pixmaps.isValid());
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for (int i = 0; i < SkYUVAPixmaps::kMaxPlanes; ++i) {
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REPORTER_ASSERT(reporter, pixmaps.plane(i).info() == yuvaPixmapInfo.planeInfo(i));
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}
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for (int i = numPlanes; i < SkYUVAInfo::kMaxPlanes; ++i) {
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REPORTER_ASSERT(reporter, pixmaps.plane(i).rowBytes() == 0);
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}
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// Test getYUVAPlanes()
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REPORTER_ASSERT(reporter, SkCodec::kSuccess == codec->getYUVAPlanes(pixmaps));
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}
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DEF_TEST(Jpeg_YUV_Codec, r) {
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auto setExpectations = [](SkISize dims, SkYUVAInfo::Subsampling subsampling) {
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return SkYUVAInfo(dims,
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SkYUVAInfo::PlaneConfig::kY_U_V,
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subsampling,
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kJPEG_Full_SkYUVColorSpace,
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kTopLeft_SkEncodedOrigin,
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SkYUVAInfo::Siting::kCentered,
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SkYUVAInfo::Siting::kCentered);
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};
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SkYUVAInfo expectations = setExpectations({128, 128}, SkYUVAInfo::Subsampling::k420);
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codec_yuv(r, "images/color_wheel.jpg", &expectations);
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// H2V2
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expectations = setExpectations({512, 512}, SkYUVAInfo::Subsampling::k420);
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codec_yuv(r, "images/mandrill_512_q075.jpg", &expectations);
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// H1V1
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expectations = setExpectations({512, 512}, SkYUVAInfo::Subsampling::k444);
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codec_yuv(r, "images/mandrill_h1v1.jpg", &expectations);
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// H2V1
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expectations = setExpectations({512, 512}, SkYUVAInfo::Subsampling::k422);
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codec_yuv(r, "images/mandrill_h2v1.jpg", &expectations);
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// Non-power of two dimensions
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expectations = setExpectations({439, 154}, SkYUVAInfo::Subsampling::k420);
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codec_yuv(r, "images/cropped_mandrill.jpg", &expectations);
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expectations = setExpectations({8, 8}, SkYUVAInfo::Subsampling::k420);
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codec_yuv(r, "images/randPixels.jpg", &expectations);
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// Progressive images
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expectations = setExpectations({512, 512}, SkYUVAInfo::Subsampling::k444);
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codec_yuv(r, "images/brickwork-texture.jpg", &expectations);
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codec_yuv(r, "images/brickwork_normal-map.jpg", &expectations);
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// A CMYK encoded image should fail.
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codec_yuv(r, "images/CMYK.jpg", nullptr);
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// A grayscale encoded image should fail.
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codec_yuv(r, "images/grayscale.jpg", nullptr);
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// A PNG should fail.
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codec_yuv(r, "images/arrow.png", nullptr);
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}
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#include "include/effects/SkColorMatrix.h"
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#include "src/core/SkYUVMath.h"
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// Be sure that the two matrices are inverses of each other
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// (i.e. rgb2yuv and yuv2rgb
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DEF_TEST(YUVMath, reporter) {
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const SkYUVColorSpace spaces[] = {
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kJPEG_SkYUVColorSpace,
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kRec601_SkYUVColorSpace,
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kRec709_SkYUVColorSpace,
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kBT2020_SkYUVColorSpace,
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kIdentity_SkYUVColorSpace,
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};
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// Not sure what the theoretical precision we can hope for is, so pick a big value that
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// passes (when I think we're correct).
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const float tolerance = 1.0f/(1 << 18);
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for (auto cs : spaces) {
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SkColorMatrix r2ym = SkColorMatrix::RGBtoYUV(cs),
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y2rm = SkColorMatrix::YUVtoRGB(cs);
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r2ym.postConcat(y2rm);
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float tmp[20];
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r2ym.getRowMajor(tmp);
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for (int i = 0; i < 20; ++i) {
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float expected = 0;
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if (i % 6 == 0) { // diagonal
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expected = 1;
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}
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REPORTER_ASSERT(reporter, SkScalarNearlyEqual(tmp[i], expected, tolerance));
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}
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}
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}
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