// Copyright 2015 The Go Authors. All rights reserved. // Use of this source code is governed by a BSD-style // license that can be found in the LICENSE file. package draw import ( "bytes" "flag" "fmt" "image" "image/color" "image/png" "math/rand" "os" "reflect" "testing" "git.fireandbrimst.one/aw/golang-image/math/f64" _ "image/jpeg" ) var genGoldenFiles = flag.Bool("gen_golden_files", false, "whether to generate the TestXxx golden files.") var transformMatrix = func(scale, tx, ty float64) f64.Aff3 { const cos30, sin30 = 0.866025404, 0.5 return f64.Aff3{ +scale * cos30, -scale * sin30, tx, +scale * sin30, +scale * cos30, ty, } } func encode(filename string, m image.Image) error { f, err := os.Create(filename) if err != nil { return fmt.Errorf("Create: %v", err) } defer f.Close() if err := png.Encode(f, m); err != nil { return fmt.Errorf("Encode: %v", err) } return nil } // testInterp tests that interpolating the source image gives the exact // destination image. This is to ensure that any refactoring or optimization of // the interpolation code doesn't change the behavior. Changing the actual // algorithm or kernel used by any particular quality setting will obviously // change the resultant pixels. In such a case, use the gen_golden_files flag // to regenerate the golden files. func testInterp(t *testing.T, w int, h int, direction, prefix, suffix string) { f, err := os.Open("../testdata/" + prefix + suffix) if err != nil { t.Fatalf("Open: %v", err) } defer f.Close() src, _, err := image.Decode(f) if err != nil { t.Fatalf("Decode: %v", err) } op, scale := Src, 3.75 if prefix == "tux" { op, scale = Over, 0.125 } green := image.NewUniform(color.RGBA{0x00, 0x22, 0x11, 0xff}) testCases := map[string]Interpolator{ "nn": NearestNeighbor, "ab": ApproxBiLinear, "bl": BiLinear, "cr": CatmullRom, } for name, q := range testCases { goldenFilename := fmt.Sprintf("../testdata/%s-%s-%s.png", prefix, direction, name) got := image.NewRGBA(image.Rect(0, 0, w, h)) Copy(got, image.Point{}, green, got.Bounds(), Src, nil) if direction == "rotate" { q.Transform(got, transformMatrix(scale, 40, 10), src, src.Bounds(), op, nil) } else { q.Scale(got, got.Bounds(), src, src.Bounds(), op, nil) } if *genGoldenFiles { if err := encode(goldenFilename, got); err != nil { t.Error(err) } continue } g, err := os.Open(goldenFilename) if err != nil { t.Errorf("Open: %v", err) continue } defer g.Close() wantRaw, err := png.Decode(g) if err != nil { t.Errorf("Decode: %v", err) continue } // convert wantRaw to RGBA. want, ok := wantRaw.(*image.RGBA) if !ok { b := wantRaw.Bounds() want = image.NewRGBA(b) Draw(want, b, wantRaw, b.Min, Src) } if !reflect.DeepEqual(got, want) { t.Errorf("%s: actual image differs from golden image", goldenFilename) continue } } } func TestScaleDown(t *testing.T) { testInterp(t, 100, 100, "down", "go-turns-two", "-280x360.jpeg") } func TestScaleUp(t *testing.T) { testInterp(t, 75, 100, "up", "go-turns-two", "-14x18.png") } func TestTformSrc(t *testing.T) { testInterp(t, 100, 100, "rotate", "go-turns-two", "-14x18.png") } func TestTformOver(t *testing.T) { testInterp(t, 100, 100, "rotate", "tux", ".png") } // TestSimpleTransforms tests Scale and Transform calls that simplify to Copy // or Scale calls. func TestSimpleTransforms(t *testing.T) { f, err := os.Open("../testdata/testpattern.png") // A 100x100 image. if err != nil { t.Fatalf("Open: %v", err) } defer f.Close() src, _, err := image.Decode(f) if err != nil { t.Fatalf("Decode: %v", err) } dst0 := image.NewRGBA(image.Rect(0, 0, 120, 150)) dst1 := image.NewRGBA(image.Rect(0, 0, 120, 150)) for _, op := range []string{"scale/copy", "tform/copy", "tform/scale"} { for _, epsilon := range []float64{0, 1e-50, 1e-1} { Copy(dst0, image.Point{}, image.Transparent, dst0.Bounds(), Src, nil) Copy(dst1, image.Point{}, image.Transparent, dst1.Bounds(), Src, nil) switch op { case "scale/copy": dr := image.Rect(10, 30, 10+100, 30+100) if epsilon > 1e-10 { dr.Max.X++ } Copy(dst0, image.Point{10, 30}, src, src.Bounds(), Src, nil) ApproxBiLinear.Scale(dst1, dr, src, src.Bounds(), Src, nil) case "tform/copy": Copy(dst0, image.Point{10, 30}, src, src.Bounds(), Src, nil) ApproxBiLinear.Transform(dst1, f64.Aff3{ 1, 0 + epsilon, 10, 0, 1, 30, }, src, src.Bounds(), Src, nil) case "tform/scale": ApproxBiLinear.Scale(dst0, image.Rect(10, 50, 10+50, 50+50), src, src.Bounds(), Src, nil) ApproxBiLinear.Transform(dst1, f64.Aff3{ 0.5, 0.0 + epsilon, 10, 0.0, 0.5, 50, }, src, src.Bounds(), Src, nil) } differ := !bytes.Equal(dst0.Pix, dst1.Pix) if epsilon > 1e-10 { if !differ { t.Errorf("%s yielded same pixels, want different pixels: epsilon=%v", op, epsilon) } } else { if differ { t.Errorf("%s yielded different pixels, want same pixels: epsilon=%v", op, epsilon) } } } } } func BenchmarkSimpleScaleCopy(b *testing.B) { dst := image.NewRGBA(image.Rect(0, 0, 640, 480)) src := image.NewRGBA(image.Rect(0, 0, 400, 300)) b.ResetTimer() for i := 0; i < b.N; i++ { ApproxBiLinear.Scale(dst, image.Rect(10, 20, 10+400, 20+300), src, src.Bounds(), Src, nil) } } func BenchmarkSimpleTransformCopy(b *testing.B) { dst := image.NewRGBA(image.Rect(0, 0, 640, 480)) src := image.NewRGBA(image.Rect(0, 0, 400, 300)) b.ResetTimer() for i := 0; i < b.N; i++ { ApproxBiLinear.Transform(dst, f64.Aff3{ 1, 0, 10, 0, 1, 20, }, src, src.Bounds(), Src, nil) } } func BenchmarkSimpleTransformScale(b *testing.B) { dst := image.NewRGBA(image.Rect(0, 0, 640, 480)) src := image.NewRGBA(image.Rect(0, 0, 400, 300)) b.ResetTimer() for i := 0; i < b.N; i++ { ApproxBiLinear.Transform(dst, f64.Aff3{ 0.5, 0.0, 10, 0.0, 0.5, 20, }, src, src.Bounds(), Src, nil) } } func TestOps(t *testing.T) { blue := image.NewUniform(color.RGBA{0x00, 0x00, 0xff, 0xff}) testCases := map[Op]color.RGBA{ Over: color.RGBA{0x7f, 0x00, 0x80, 0xff}, Src: color.RGBA{0x7f, 0x00, 0x00, 0x7f}, } for op, want := range testCases { dst := image.NewRGBA(image.Rect(0, 0, 2, 2)) Copy(dst, image.Point{}, blue, dst.Bounds(), Src, nil) src := image.NewRGBA(image.Rect(0, 0, 1, 1)) src.SetRGBA(0, 0, color.RGBA{0x7f, 0x00, 0x00, 0x7f}) NearestNeighbor.Scale(dst, dst.Bounds(), src, src.Bounds(), op, nil) if got := dst.RGBAAt(0, 0); got != want { t.Errorf("op=%v: got %v, want %v", op, got, want) } } } // TestNegativeWeights tests that scaling by a kernel that produces negative // weights, such as the Catmull-Rom kernel, doesn't produce an invalid color // according to Go's alpha-premultiplied model. func TestNegativeWeights(t *testing.T) { check := func(m *image.RGBA) error { b := m.Bounds() for y := b.Min.Y; y < b.Max.Y; y++ { for x := b.Min.X; x < b.Max.X; x++ { if c := m.RGBAAt(x, y); c.R > c.A || c.G > c.A || c.B > c.A { return fmt.Errorf("invalid color.RGBA at (%d, %d): %v", x, y, c) } } } return nil } src := image.NewRGBA(image.Rect(0, 0, 16, 16)) for y := 0; y < 16; y++ { for x := 0; x < 16; x++ { a := y * 0x11 src.Set(x, y, color.RGBA{ R: uint8(x * 0x11 * a / 0xff), A: uint8(a), }) } } if err := check(src); err != nil { t.Fatalf("src image: %v", err) } dst := image.NewRGBA(image.Rect(0, 0, 32, 32)) CatmullRom.Scale(dst, dst.Bounds(), src, src.Bounds(), Over, nil) if err := check(dst); err != nil { t.Fatalf("dst image: %v", err) } } func fillPix(r *rand.Rand, pixs ...[]byte) { for _, pix := range pixs { for i := range pix { pix[i] = uint8(r.Intn(256)) } } } func TestInterpClipCommute(t *testing.T) { src := image.NewNRGBA(image.Rect(0, 0, 20, 20)) fillPix(rand.New(rand.NewSource(0)), src.Pix) outer := image.Rect(1, 1, 8, 5) inner := image.Rect(2, 3, 6, 5) qs := []Interpolator{ NearestNeighbor, ApproxBiLinear, CatmullRom, } for _, transform := range []bool{false, true} { for _, q := range qs { dst0 := image.NewRGBA(image.Rect(1, 1, 10, 10)) dst1 := image.NewRGBA(image.Rect(1, 1, 10, 10)) for i := range dst0.Pix { dst0.Pix[i] = uint8(i / 4) dst1.Pix[i] = uint8(i / 4) } var interp func(dst *image.RGBA) if transform { interp = func(dst *image.RGBA) { q.Transform(dst, transformMatrix(3.75, 2, 1), src, src.Bounds(), Over, nil) } } else { interp = func(dst *image.RGBA) { q.Scale(dst, outer, src, src.Bounds(), Over, nil) } } // Interpolate then clip. interp(dst0) dst0 = dst0.SubImage(inner).(*image.RGBA) // Clip then interpolate. dst1 = dst1.SubImage(inner).(*image.RGBA) interp(dst1) loop: for y := inner.Min.Y; y < inner.Max.Y; y++ { for x := inner.Min.X; x < inner.Max.X; x++ { if c0, c1 := dst0.RGBAAt(x, y), dst1.RGBAAt(x, y); c0 != c1 { t.Errorf("q=%T: at (%d, %d): c0=%v, c1=%v", q, x, y, c0, c1) break loop } } } } } } // translatedImage is an image m translated by t. type translatedImage struct { m image.Image t image.Point } func (t *translatedImage) At(x, y int) color.Color { return t.m.At(x-t.t.X, y-t.t.Y) } func (t *translatedImage) Bounds() image.Rectangle { return t.m.Bounds().Add(t.t) } func (t *translatedImage) ColorModel() color.Model { return t.m.ColorModel() } // TestSrcTranslationInvariance tests that Scale and Transform are invariant // under src translations. Specifically, when some source pixels are not in the // bottom-right quadrant of src coordinate space, we consistently round down, // not round towards zero. func TestSrcTranslationInvariance(t *testing.T) { f, err := os.Open("../testdata/testpattern.png") if err != nil { t.Fatalf("Open: %v", err) } defer f.Close() src, _, err := image.Decode(f) if err != nil { t.Fatalf("Decode: %v", err) } sr := image.Rect(2, 3, 16, 12) if !sr.In(src.Bounds()) { t.Fatalf("src bounds too small: got %v", src.Bounds()) } qs := []Interpolator{ NearestNeighbor, ApproxBiLinear, CatmullRom, } deltas := []image.Point{ {+0, +0}, {+0, +5}, {+0, -5}, {+5, +0}, {-5, +0}, {+8, +8}, {+8, -8}, {-8, +8}, {-8, -8}, } m00 := transformMatrix(3.75, 0, 0) for _, transform := range []bool{false, true} { for _, q := range qs { want := image.NewRGBA(image.Rect(0, 0, 20, 20)) if transform { q.Transform(want, m00, src, sr, Over, nil) } else { q.Scale(want, want.Bounds(), src, sr, Over, nil) } for _, delta := range deltas { tsrc := &translatedImage{src, delta} got := image.NewRGBA(image.Rect(0, 0, 20, 20)) if transform { m := matMul(&m00, &f64.Aff3{ 1, 0, -float64(delta.X), 0, 1, -float64(delta.Y), }) q.Transform(got, m, tsrc, sr.Add(delta), Over, nil) } else { q.Scale(got, got.Bounds(), tsrc, sr.Add(delta), Over, nil) } if !bytes.Equal(got.Pix, want.Pix) { t.Errorf("pix differ for delta=%v, transform=%t, q=%T", delta, transform, q) } } } } } func TestSrcMask(t *testing.T) { srcMask := image.NewRGBA(image.Rect(0, 0, 23, 1)) srcMask.SetRGBA(19, 0, color.RGBA{0x00, 0x00, 0x00, 0x7f}) srcMask.SetRGBA(20, 0, color.RGBA{0x00, 0x00, 0x00, 0xff}) srcMask.SetRGBA(21, 0, color.RGBA{0x00, 0x00, 0x00, 0x3f}) srcMask.SetRGBA(22, 0, color.RGBA{0x00, 0x00, 0x00, 0x00}) red := image.NewUniform(color.RGBA{0xff, 0x00, 0x00, 0xff}) blue := image.NewUniform(color.RGBA{0x00, 0x00, 0xff, 0xff}) dst := image.NewRGBA(image.Rect(0, 0, 6, 1)) Copy(dst, image.Point{}, blue, dst.Bounds(), Src, nil) NearestNeighbor.Scale(dst, dst.Bounds(), red, image.Rect(0, 0, 3, 1), Over, &Options{ SrcMask: srcMask, SrcMaskP: image.Point{20, 0}, }) got := [6]color.RGBA{ dst.RGBAAt(0, 0), dst.RGBAAt(1, 0), dst.RGBAAt(2, 0), dst.RGBAAt(3, 0), dst.RGBAAt(4, 0), dst.RGBAAt(5, 0), } want := [6]color.RGBA{ {0xff, 0x00, 0x00, 0xff}, {0xff, 0x00, 0x00, 0xff}, {0x3f, 0x00, 0xc0, 0xff}, {0x3f, 0x00, 0xc0, 0xff}, {0x00, 0x00, 0xff, 0xff}, {0x00, 0x00, 0xff, 0xff}, } if got != want { t.Errorf("\ngot %v\nwant %v", got, want) } } func TestDstMask(t *testing.T) { dstMask := image.NewRGBA(image.Rect(0, 0, 23, 1)) dstMask.SetRGBA(19, 0, color.RGBA{0x00, 0x00, 0x00, 0x7f}) dstMask.SetRGBA(20, 0, color.RGBA{0x00, 0x00, 0x00, 0xff}) dstMask.SetRGBA(21, 0, color.RGBA{0x00, 0x00, 0x00, 0x3f}) dstMask.SetRGBA(22, 0, color.RGBA{0x00, 0x00, 0x00, 0x00}) red := image.NewRGBA(image.Rect(0, 0, 1, 1)) red.SetRGBA(0, 0, color.RGBA{0xff, 0x00, 0x00, 0xff}) blue := image.NewUniform(color.RGBA{0x00, 0x00, 0xff, 0xff}) qs := []Interpolator{ NearestNeighbor, ApproxBiLinear, CatmullRom, } for _, q := range qs { dst := image.NewRGBA(image.Rect(0, 0, 3, 1)) Copy(dst, image.Point{}, blue, dst.Bounds(), Src, nil) q.Scale(dst, dst.Bounds(), red, red.Bounds(), Over, &Options{ DstMask: dstMask, DstMaskP: image.Point{20, 0}, }) got := [3]color.RGBA{ dst.RGBAAt(0, 0), dst.RGBAAt(1, 0), dst.RGBAAt(2, 0), } want := [3]color.RGBA{ {0xff, 0x00, 0x00, 0xff}, {0x3f, 0x00, 0xc0, 0xff}, {0x00, 0x00, 0xff, 0xff}, } if got != want { t.Errorf("q=%T:\ngot %v\nwant %v", q, got, want) } } } func TestRectDstMask(t *testing.T) { f, err := os.Open("../testdata/testpattern.png") if err != nil { t.Fatalf("Open: %v", err) } defer f.Close() src, _, err := image.Decode(f) if err != nil { t.Fatalf("Decode: %v", err) } m00 := transformMatrix(1, 0, 0) bounds := image.Rect(0, 0, 50, 50) dstOutside := image.NewRGBA(bounds) for y := bounds.Min.Y; y < bounds.Max.Y; y++ { for x := bounds.Min.X; x < bounds.Max.X; x++ { dstOutside.SetRGBA(x, y, color.RGBA{uint8(5 * x), uint8(5 * y), 0x00, 0xff}) } } mk := func(q Transformer, dstMask image.Image, dstMaskP image.Point) *image.RGBA { m := image.NewRGBA(bounds) Copy(m, bounds.Min, dstOutside, bounds, Src, nil) q.Transform(m, m00, src, src.Bounds(), Over, &Options{ DstMask: dstMask, DstMaskP: dstMaskP, }) return m } qs := []Interpolator{ NearestNeighbor, ApproxBiLinear, CatmullRom, } dstMaskPs := []image.Point{ {0, 0}, {5, 7}, {-3, 0}, } rect := image.Rect(10, 10, 30, 40) for _, q := range qs { for _, dstMaskP := range dstMaskPs { dstInside := mk(q, nil, image.Point{}) for _, wrap := range []bool{false, true} { dstMask := image.Image(rect) if wrap { dstMask = srcWrapper{dstMask} } dst := mk(q, dstMask, dstMaskP) nError := 0 loop: for y := bounds.Min.Y; y < bounds.Max.Y; y++ { for x := bounds.Min.X; x < bounds.Max.X; x++ { which := dstOutside if (image.Point{x, y}).Add(dstMaskP).In(rect) { which = dstInside } if got, want := dst.RGBAAt(x, y), which.RGBAAt(x, y); got != want { if nError == 10 { t.Errorf("q=%T dmp=%v wrap=%v: ...and more errors", q, dstMaskP, wrap) break loop } nError++ t.Errorf("q=%T dmp=%v wrap=%v: x=%3d y=%3d: got %v, want %v", q, dstMaskP, wrap, x, y, got, want) } } } } } } } func TestDstMaskSameSizeCopy(t *testing.T) { bounds := image.Rect(0, 0, 42, 42) src := image.Opaque dst := image.NewRGBA(bounds) mask := image.NewRGBA(bounds) Copy(dst, image.ZP, src, bounds, Src, &Options{ DstMask: mask, }) } // The fooWrapper types wrap the dst or src image to avoid triggering the // type-specific fast path implementations. type ( dstWrapper struct{ Image } srcWrapper struct{ image.Image } ) func srcGray(boundsHint image.Rectangle) (image.Image, error) { m := image.NewGray(boundsHint) fillPix(rand.New(rand.NewSource(0)), m.Pix) return m, nil } func srcNRGBA(boundsHint image.Rectangle) (image.Image, error) { m := image.NewNRGBA(boundsHint) fillPix(rand.New(rand.NewSource(1)), m.Pix) return m, nil } func srcRGBA(boundsHint image.Rectangle) (image.Image, error) { m := image.NewRGBA(boundsHint) fillPix(rand.New(rand.NewSource(2)), m.Pix) // RGBA is alpha-premultiplied, so the R, G and B values should // be <= the A values. for i := 0; i < len(m.Pix); i += 4 { m.Pix[i+0] = uint8(uint32(m.Pix[i+0]) * uint32(m.Pix[i+3]) / 0xff) m.Pix[i+1] = uint8(uint32(m.Pix[i+1]) * uint32(m.Pix[i+3]) / 0xff) m.Pix[i+2] = uint8(uint32(m.Pix[i+2]) * uint32(m.Pix[i+3]) / 0xff) } return m, nil } func srcUnif(boundsHint image.Rectangle) (image.Image, error) { return image.NewUniform(color.RGBA64{0x1234, 0x5555, 0x9181, 0xbeef}), nil } func srcYCbCr(boundsHint image.Rectangle) (image.Image, error) { m := image.NewYCbCr(boundsHint, image.YCbCrSubsampleRatio420) fillPix(rand.New(rand.NewSource(3)), m.Y, m.Cb, m.Cr) return m, nil } func srcLarge(boundsHint image.Rectangle) (image.Image, error) { // 3072 x 2304 is over 7 million pixels at 4:3, comparable to a // 2015 smart-phone camera's output. return srcYCbCr(image.Rect(0, 0, 3072, 2304)) } func srcTux(boundsHint image.Rectangle) (image.Image, error) { // tux.png is a 386 x 395 image. f, err := os.Open("../testdata/tux.png") if err != nil { return nil, fmt.Errorf("Open: %v", err) } defer f.Close() src, err := png.Decode(f) if err != nil { return nil, fmt.Errorf("Decode: %v", err) } return src, nil } func benchScale(b *testing.B, w int, h int, op Op, srcf func(image.Rectangle) (image.Image, error), q Interpolator) { dst := image.NewRGBA(image.Rect(0, 0, w, h)) src, err := srcf(image.Rect(0, 0, 1024, 768)) if err != nil { b.Fatal(err) } dr, sr := dst.Bounds(), src.Bounds() scaler := Scaler(q) if n, ok := q.(interface { NewScaler(int, int, int, int) Scaler }); ok { scaler = n.NewScaler(dr.Dx(), dr.Dy(), sr.Dx(), sr.Dy()) } b.ReportAllocs() b.ResetTimer() for i := 0; i < b.N; i++ { scaler.Scale(dst, dr, src, sr, op, nil) } } func benchTform(b *testing.B, w int, h int, op Op, srcf func(image.Rectangle) (image.Image, error), q Interpolator) { dst := image.NewRGBA(image.Rect(0, 0, w, h)) src, err := srcf(image.Rect(0, 0, 1024, 768)) if err != nil { b.Fatal(err) } sr := src.Bounds() m := transformMatrix(3.75, 40, 10) b.ReportAllocs() b.ResetTimer() for i := 0; i < b.N; i++ { q.Transform(dst, m, src, sr, op, nil) } } func BenchmarkScaleNNLargeDown(b *testing.B) { benchScale(b, 200, 150, Src, srcLarge, NearestNeighbor) } func BenchmarkScaleABLargeDown(b *testing.B) { benchScale(b, 200, 150, Src, srcLarge, ApproxBiLinear) } func BenchmarkScaleBLLargeDown(b *testing.B) { benchScale(b, 200, 150, Src, srcLarge, BiLinear) } func BenchmarkScaleCRLargeDown(b *testing.B) { benchScale(b, 200, 150, Src, srcLarge, CatmullRom) } func BenchmarkScaleNNDown(b *testing.B) { benchScale(b, 120, 80, Src, srcTux, NearestNeighbor) } func BenchmarkScaleABDown(b *testing.B) { benchScale(b, 120, 80, Src, srcTux, ApproxBiLinear) } func BenchmarkScaleBLDown(b *testing.B) { benchScale(b, 120, 80, Src, srcTux, BiLinear) } func BenchmarkScaleCRDown(b *testing.B) { benchScale(b, 120, 80, Src, srcTux, CatmullRom) } func BenchmarkScaleNNUp(b *testing.B) { benchScale(b, 800, 600, Src, srcTux, NearestNeighbor) } func BenchmarkScaleABUp(b *testing.B) { benchScale(b, 800, 600, Src, srcTux, ApproxBiLinear) } func BenchmarkScaleBLUp(b *testing.B) { benchScale(b, 800, 600, Src, srcTux, BiLinear) } func BenchmarkScaleCRUp(b *testing.B) { benchScale(b, 800, 600, Src, srcTux, CatmullRom) } func BenchmarkScaleNNSrcRGBA(b *testing.B) { benchScale(b, 200, 150, Src, srcRGBA, NearestNeighbor) } func BenchmarkScaleNNSrcUnif(b *testing.B) { benchScale(b, 200, 150, Src, srcUnif, NearestNeighbor) } func BenchmarkScaleNNOverRGBA(b *testing.B) { benchScale(b, 200, 150, Over, srcRGBA, NearestNeighbor) } func BenchmarkScaleNNOverUnif(b *testing.B) { benchScale(b, 200, 150, Over, srcUnif, NearestNeighbor) } func BenchmarkTformNNSrcRGBA(b *testing.B) { benchTform(b, 200, 150, Src, srcRGBA, NearestNeighbor) } func BenchmarkTformNNSrcUnif(b *testing.B) { benchTform(b, 200, 150, Src, srcUnif, NearestNeighbor) } func BenchmarkTformNNOverRGBA(b *testing.B) { benchTform(b, 200, 150, Over, srcRGBA, NearestNeighbor) } func BenchmarkTformNNOverUnif(b *testing.B) { benchTform(b, 200, 150, Over, srcUnif, NearestNeighbor) } func BenchmarkScaleABSrcGray(b *testing.B) { benchScale(b, 200, 150, Src, srcGray, ApproxBiLinear) } func BenchmarkScaleABSrcNRGBA(b *testing.B) { benchScale(b, 200, 150, Src, srcNRGBA, ApproxBiLinear) } func BenchmarkScaleABSrcRGBA(b *testing.B) { benchScale(b, 200, 150, Src, srcRGBA, ApproxBiLinear) } func BenchmarkScaleABSrcYCbCr(b *testing.B) { benchScale(b, 200, 150, Src, srcYCbCr, ApproxBiLinear) } func BenchmarkScaleABOverGray(b *testing.B) { benchScale(b, 200, 150, Over, srcGray, ApproxBiLinear) } func BenchmarkScaleABOverNRGBA(b *testing.B) { benchScale(b, 200, 150, Over, srcNRGBA, ApproxBiLinear) } func BenchmarkScaleABOverRGBA(b *testing.B) { benchScale(b, 200, 150, Over, srcRGBA, ApproxBiLinear) } func BenchmarkScaleABOverYCbCr(b *testing.B) { benchScale(b, 200, 150, Over, srcYCbCr, ApproxBiLinear) } func BenchmarkTformABSrcGray(b *testing.B) { benchTform(b, 200, 150, Src, srcGray, ApproxBiLinear) } func BenchmarkTformABSrcNRGBA(b *testing.B) { benchTform(b, 200, 150, Src, srcNRGBA, ApproxBiLinear) } func BenchmarkTformABSrcRGBA(b *testing.B) { benchTform(b, 200, 150, Src, srcRGBA, ApproxBiLinear) } func BenchmarkTformABSrcYCbCr(b *testing.B) { benchTform(b, 200, 150, Src, srcYCbCr, ApproxBiLinear) } func BenchmarkTformABOverGray(b *testing.B) { benchTform(b, 200, 150, Over, srcGray, ApproxBiLinear) } func BenchmarkTformABOverNRGBA(b *testing.B) { benchTform(b, 200, 150, Over, srcNRGBA, ApproxBiLinear) } func BenchmarkTformABOverRGBA(b *testing.B) { benchTform(b, 200, 150, Over, srcRGBA, ApproxBiLinear) } func BenchmarkTformABOverYCbCr(b *testing.B) { benchTform(b, 200, 150, Over, srcYCbCr, ApproxBiLinear) } func BenchmarkScaleCRSrcGray(b *testing.B) { benchScale(b, 200, 150, Src, srcGray, CatmullRom) } func BenchmarkScaleCRSrcNRGBA(b *testing.B) { benchScale(b, 200, 150, Src, srcNRGBA, CatmullRom) } func BenchmarkScaleCRSrcRGBA(b *testing.B) { benchScale(b, 200, 150, Src, srcRGBA, CatmullRom) } func BenchmarkScaleCRSrcYCbCr(b *testing.B) { benchScale(b, 200, 150, Src, srcYCbCr, CatmullRom) } func BenchmarkScaleCROverGray(b *testing.B) { benchScale(b, 200, 150, Over, srcGray, CatmullRom) } func BenchmarkScaleCROverNRGBA(b *testing.B) { benchScale(b, 200, 150, Over, srcNRGBA, CatmullRom) } func BenchmarkScaleCROverRGBA(b *testing.B) { benchScale(b, 200, 150, Over, srcRGBA, CatmullRom) } func BenchmarkScaleCROverYCbCr(b *testing.B) { benchScale(b, 200, 150, Over, srcYCbCr, CatmullRom) } func BenchmarkTformCRSrcGray(b *testing.B) { benchTform(b, 200, 150, Src, srcGray, CatmullRom) } func BenchmarkTformCRSrcNRGBA(b *testing.B) { benchTform(b, 200, 150, Src, srcNRGBA, CatmullRom) } func BenchmarkTformCRSrcRGBA(b *testing.B) { benchTform(b, 200, 150, Src, srcRGBA, CatmullRom) } func BenchmarkTformCRSrcYCbCr(b *testing.B) { benchTform(b, 200, 150, Src, srcYCbCr, CatmullRom) } func BenchmarkTformCROverGray(b *testing.B) { benchTform(b, 200, 150, Over, srcGray, CatmullRom) } func BenchmarkTformCROverNRGBA(b *testing.B) { benchTform(b, 200, 150, Over, srcNRGBA, CatmullRom) } func BenchmarkTformCROverRGBA(b *testing.B) { benchTform(b, 200, 150, Over, srcRGBA, CatmullRom) } func BenchmarkTformCROverYCbCr(b *testing.B) { benchTform(b, 200, 150, Over, srcYCbCr, CatmullRom) }