8640d5024d
the matrix convolution filter. Test cases are added to the GM and the bench. NOTE: This will require rebaselining the matrixconvolution GM, so it will likely turn the bots red until that is done. https://codereview.appspot.com/6547049/ git-svn-id: http://skia.googlecode.com/svn/trunk@5661 2bbb7eff-a529-9590-31e7-b0007b416f81
68 lines
2.5 KiB
C++
68 lines
2.5 KiB
C++
/*
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* Copyright 2012 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 "SkBenchmark.h"
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#include "SkCanvas.h"
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#include "SkPaint.h"
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#include "SkRandom.h"
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#include "SkString.h"
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#include "SkMatrixConvolutionImageFilter.h"
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class MatrixConvolutionBench : public SkBenchmark {
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SkMatrixConvolutionImageFilter::TileMode fTileMode;
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public:
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MatrixConvolutionBench(void* param, SkMatrixConvolutionImageFilter::TileMode tileMode, bool convolveAlpha)
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: INHERITED(param), fName("matrixconvolution") {
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SkISize kernelSize = SkISize::Make(3, 3);
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SkScalar kernel[9] = {
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SkIntToScalar( 1), SkIntToScalar( 1), SkIntToScalar( 1),
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SkIntToScalar( 1), SkIntToScalar(-7), SkIntToScalar( 1),
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SkIntToScalar( 1), SkIntToScalar( 1), SkIntToScalar( 1),
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};
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SkScalar gain = SkFloatToScalar(0.3f), bias = SkIntToScalar(100);
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SkIPoint target = SkIPoint::Make(1, 1);
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fFilter = new SkMatrixConvolutionImageFilter(kernelSize, kernel, gain, bias, target, tileMode, convolveAlpha);
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}
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~MatrixConvolutionBench() {
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fFilter->unref();
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}
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protected:
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virtual const char* onGetName() {
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return fName.c_str();
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}
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virtual void onDraw(SkCanvas* canvas) {
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SkPaint paint;
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this->setupPaint(&paint);
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paint.setAntiAlias(true);
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SkRandom rand;
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for (int i = 0; i < SkBENCHLOOP(3); i++) {
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SkRect r = SkRect::MakeWH(rand.nextUScalar1() * 400,
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rand.nextUScalar1() * 400);
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paint.setImageFilter(fFilter);
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canvas->drawOval(r, paint);
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}
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}
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private:
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typedef SkBenchmark INHERITED;
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SkMatrixConvolutionImageFilter* fFilter;
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SkString fName;
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};
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static SkBenchmark* Fact00(void* p) { return new MatrixConvolutionBench(p, SkMatrixConvolutionImageFilter::kClamp_TileMode, true); }
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static SkBenchmark* Fact01(void* p) { return new MatrixConvolutionBench(p, SkMatrixConvolutionImageFilter::kRepeat_TileMode, true); }
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static SkBenchmark* Fact02(void* p) { return new MatrixConvolutionBench(p, SkMatrixConvolutionImageFilter::kClampToBlack_TileMode, true); }
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static SkBenchmark* Fact03(void* p) { return new MatrixConvolutionBench(p, SkMatrixConvolutionImageFilter::kClampToBlack_TileMode, false); }
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static BenchRegistry gReg00(Fact00);
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static BenchRegistry gReg01(Fact01);
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static BenchRegistry gReg02(Fact02);
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static BenchRegistry gReg03(Fact03);
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