96b77d5c7a
package, including the ability to scale an image. Design discussion: https://groups.google.com/forum/#!topic/golang-dev/B7-OrWdheic Previous code review (when Go used hg instead of git): https://codereview.appspot.com/101670045 New benchmarks: BenchmarkScaleLargeDownNN 300 5935174 ns/op BenchmarkScaleLargeDownAB 100 14482372 ns/op BenchmarkScaleLargeDownBL 1 1383805986 ns/op BenchmarkScaleLargeDownCR 1 2724631789 ns/op BenchmarkScaleDownNN 1000 1850500 ns/op BenchmarkScaleDownAB 300 4413499 ns/op BenchmarkScaleDownBL 50 30498748 ns/op BenchmarkScaleDownCR 20 58349653 ns/op BenchmarkScaleUpNN 20 92306475 ns/op BenchmarkScaleUpAB 5 220103753 ns/op BenchmarkScaleUpBL 10 122635195 ns/op BenchmarkScaleUpCR 10 183275927 ns/op Change-Id: I69d397e68897bae024c7b330a9375fa3e7688591 Reviewed-on: https://go-review.googlesource.com/4210 Reviewed-by: Rob Pike <r@golang.org>
125 lines
4.0 KiB
Go
125 lines
4.0 KiB
Go
// Copyright 2015 The Go Authors. All rights reserved.
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// Use of this source code is governed by a BSD-style
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// license that can be found in the LICENSE file.
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package draw
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import (
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"flag"
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"fmt"
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"image"
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"image/png"
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"os"
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"reflect"
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"testing"
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_ "image/jpeg"
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)
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var genScaleFiles = flag.Bool("gen_scale_files", false, "whether to generate the TestScaleXxx golden files.")
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// testScale tests that scaling the source image gives the exact destination
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// image. This is to ensure that any refactoring or optimization of the scaling
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// code doesn't change the scaling behavior. Changing the actual algorithm or
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// kernel used by any particular quality setting will obviously change the
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// resultant pixels. In such a case, use the gen_scale_files flag to regenerate
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// the golden files.
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func testScale(t *testing.T, w int, h int, direction, srcFilename string) {
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f, err := os.Open("../testdata/go-turns-two-" + srcFilename)
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if err != nil {
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t.Fatalf("Open: %v", err)
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}
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defer f.Close()
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src, _, err := image.Decode(f)
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if err != nil {
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t.Fatalf("Decode: %v", err)
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}
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testCases := map[string]Interpolator{
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"nn": NearestNeighbor,
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"ab": ApproxBiLinear,
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"bl": BiLinear,
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"cr": CatmullRom,
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}
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for name, q := range testCases {
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gotFilename := fmt.Sprintf("../testdata/go-turns-two-%s-%s.png", direction, name)
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got := image.NewRGBA(image.Rect(0, 0, w, h))
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Scale(got, got.Bounds(), src, src.Bounds(), q)
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if *genScaleFiles {
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g, err := os.Create(gotFilename)
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if err != nil {
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t.Errorf("Create: %v", err)
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continue
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}
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defer g.Close()
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if err := png.Encode(g, got); err != nil {
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t.Errorf("Encode: %v", err)
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continue
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}
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continue
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}
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g, err := os.Open(gotFilename)
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if err != nil {
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t.Errorf("Open: %v", err)
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continue
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}
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defer g.Close()
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want, err := png.Decode(g)
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if err != nil {
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t.Errorf("Decode: %v", err)
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continue
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}
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if !reflect.DeepEqual(got, want) {
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t.Errorf("%s: actual image differs from golden image", gotFilename)
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continue
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}
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}
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}
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func TestScaleDown(t *testing.T) { testScale(t, 100, 100, "down", "280x360.jpeg") }
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func TestScaleUp(t *testing.T) { testScale(t, 75, 100, "up", "14x18.png") }
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func benchScale(b *testing.B, largeSrc bool, w int, h int, q Interpolator) {
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var src image.Image
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if largeSrc {
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// 3072 x 2304 is over 7 million pixels at 4:3, comparable to a
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// 2015 smart-phone camera's output.
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src = image.NewYCbCr(image.Rect(0, 0, 3072, 2304), image.YCbCrSubsampleRatio420)
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} else {
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// tux.png is a 386 x 395 image.
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f, err := os.Open("../testdata/tux.png")
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if err != nil {
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b.Fatalf("Open: %v", err)
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}
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defer f.Close()
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src, err = png.Decode(f)
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if err != nil {
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b.Fatalf("Decode: %v", err)
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}
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}
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dst := image.NewRGBA(image.Rect(0, 0, w, h))
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dr, sr := dst.Bounds(), src.Bounds()
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scaler := q.NewScaler(int32(dr.Dx()), int32(dr.Dy()), int32(sr.Dx()), int32(sr.Dy()))
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b.ResetTimer()
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for i := 0; i < b.N; i++ {
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scaler.Scale(dst, dr.Min, src, sr.Min)
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}
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}
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func BenchmarkScaleLargeDownNN(b *testing.B) { benchScale(b, true, 200, 150, NearestNeighbor) }
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func BenchmarkScaleLargeDownAB(b *testing.B) { benchScale(b, true, 200, 150, ApproxBiLinear) }
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func BenchmarkScaleLargeDownBL(b *testing.B) { benchScale(b, true, 200, 150, BiLinear) }
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func BenchmarkScaleLargeDownCR(b *testing.B) { benchScale(b, true, 200, 150, CatmullRom) }
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func BenchmarkScaleDownNN(b *testing.B) { benchScale(b, false, 120, 80, NearestNeighbor) }
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func BenchmarkScaleDownAB(b *testing.B) { benchScale(b, false, 120, 80, ApproxBiLinear) }
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func BenchmarkScaleDownBL(b *testing.B) { benchScale(b, false, 120, 80, BiLinear) }
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func BenchmarkScaleDownCR(b *testing.B) { benchScale(b, false, 120, 80, CatmullRom) }
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func BenchmarkScaleUpNN(b *testing.B) { benchScale(b, false, 800, 600, NearestNeighbor) }
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func BenchmarkScaleUpAB(b *testing.B) { benchScale(b, false, 800, 600, ApproxBiLinear) }
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func BenchmarkScaleUpBL(b *testing.B) { benchScale(b, false, 800, 600, BiLinear) }
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func BenchmarkScaleUpCR(b *testing.B) { benchScale(b, false, 800, 600, CatmullRom) }
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