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62 lines
2.0 KiB
62 lines
2.0 KiB
/*
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* Copyright 2019 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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#ifndef YUVUtils_DEFINED
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#define YUVUtils_DEFINED
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#include "include/core/SkImage.h"
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#include "include/core/SkYUVAPixmaps.h"
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#include "include/gpu/GrBackendSurface.h"
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#include "src/core/SkAutoMalloc.h"
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class SkData;
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namespace sk_gpu_test {
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// Utility that decodes a JPEG but preserves the YUVA8 planes in the image, and uses
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// MakeFromYUVAPixmaps to create a GPU multiplane YUVA image for a context. It extracts the planar
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// data once, and lazily creates the actual SkImage when the GrContext is provided (and refreshes
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// the image if the context has changed, as in Viewer)
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class LazyYUVImage {
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public:
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// Returns null if the data could not be extracted into YUVA planes
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static std::unique_ptr<LazyYUVImage> Make(sk_sp<SkData> data,
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GrMipmapped = GrMipmapped::kNo,
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sk_sp<SkColorSpace> = nullptr);
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static std::unique_ptr<LazyYUVImage> Make(SkYUVAPixmaps,
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GrMipmapped = GrMipmapped::kNo,
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sk_sp<SkColorSpace> = nullptr);
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enum class Type { kFromPixmaps, kFromGenerator, kFromTextures };
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SkISize dimensions() const { return fPixmaps.yuvaInfo().dimensions(); }
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sk_sp<SkImage> refImage(GrRecordingContext* rContext, Type);
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private:
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// Decoded YUV data
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SkYUVAPixmaps fPixmaps;
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GrMipmapped fMipmapped;
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sk_sp<SkColorSpace> fColorSpace;
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// Memoized SkImages formed with planes, one for each Type.
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sk_sp<SkImage> fYUVImage[4];
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LazyYUVImage() = default;
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bool reset(sk_sp<SkData> data, GrMipmapped, sk_sp<SkColorSpace>);
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bool reset(SkYUVAPixmaps pixmaps, GrMipmapped, sk_sp<SkColorSpace>);
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bool ensureYUVImage(GrRecordingContext* rContext, Type type);
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};
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} // namespace sk_gpu_test
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#endif // YUVUtils_DEFINED
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