87013da148
Change-Id: I70a5e3703dea436354e9591fce7b704ec749c2d1 Reviewed-on: https://go-review.googlesource.com/7541 Reviewed-by: Rob Pike <r@golang.org>
421 lines
12 KiB
Go
421 lines
12 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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"bytes"
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"flag"
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"fmt"
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"image"
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"image/color"
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"image/png"
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"math/rand"
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"os"
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"reflect"
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"testing"
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"golang.org/x/image/math/f64"
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_ "image/jpeg"
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)
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var genGoldenFiles = flag.Bool("gen_golden_files", false, "whether to generate the TestXxx golden files.")
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var transformMatrix = func() *f64.Aff3 {
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const scale, cos30, sin30 = 3.75, 0.866025404, 0.5
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return &f64.Aff3{
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+scale * cos30, -scale * sin30, 40,
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+scale * sin30, +scale * cos30, 10,
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}
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}()
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// testInterp tests that interpolating the source image gives the exact
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// destination image. This is to ensure that any refactoring or optimization of
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// the interpolation code doesn't change the behavior. Changing the actual
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// algorithm or kernel used by any particular quality setting will obviously
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// change the resultant pixels. In such a case, use the gen_golden_files flag
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// to regenerate the golden files.
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func testInterp(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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goldenFilename := 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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if direction == "rotate" {
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if name == "bl" || name == "cr" {
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// TODO: implement Kernel.Transform.
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continue
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}
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q.Transform(got, transformMatrix, src, src.Bounds(), nil)
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} else {
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q.Scale(got, got.Bounds(), src, src.Bounds(), nil)
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}
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if *genGoldenFiles {
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g, err := os.Create(goldenFilename)
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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(goldenFilename)
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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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wantRaw, 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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// convert wantRaw to RGBA.
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want, ok := wantRaw.(*image.RGBA)
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if !ok {
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b := wantRaw.Bounds()
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want = image.NewRGBA(b)
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Draw(want, b, wantRaw, b.Min, Src)
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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", goldenFilename)
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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) { testInterp(t, 100, 100, "down", "280x360.jpeg") }
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func TestScaleUp(t *testing.T) { testInterp(t, 75, 100, "up", "14x18.png") }
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func TestTransform(t *testing.T) { testInterp(t, 100, 100, "rotate", "14x18.png") }
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func fillPix(r *rand.Rand, pixs ...[]byte) {
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for _, pix := range pixs {
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for i := range pix {
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pix[i] = uint8(r.Intn(256))
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}
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}
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}
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func TestInterpClipCommute(t *testing.T) {
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src := image.NewNRGBA(image.Rect(0, 0, 20, 20))
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fillPix(rand.New(rand.NewSource(0)), src.Pix)
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outer := image.Rect(1, 1, 8, 5)
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inner := image.Rect(2, 3, 6, 5)
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qs := []Interpolator{
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NearestNeighbor,
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ApproxBiLinear,
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CatmullRom,
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}
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for _, transform := range []bool{false, true} {
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for _, q := range qs {
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if transform && q == CatmullRom {
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// TODO: implement Kernel.Transform.
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continue
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}
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dst0 := image.NewRGBA(image.Rect(1, 1, 10, 10))
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dst1 := image.NewRGBA(image.Rect(1, 1, 10, 10))
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for i := range dst0.Pix {
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dst0.Pix[i] = uint8(i / 4)
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dst1.Pix[i] = uint8(i / 4)
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}
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var interp func(dst *image.RGBA)
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if transform {
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interp = func(dst *image.RGBA) {
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q.Transform(dst, transformMatrix, src, src.Bounds(), nil)
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}
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} else {
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interp = func(dst *image.RGBA) {
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q.Scale(dst, outer, src, src.Bounds(), nil)
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}
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}
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// Interpolate then clip.
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interp(dst0)
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dst0 = dst0.SubImage(inner).(*image.RGBA)
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// Clip then interpolate.
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dst1 = dst1.SubImage(inner).(*image.RGBA)
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interp(dst1)
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loop:
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for y := inner.Min.Y; y < inner.Max.Y; y++ {
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for x := inner.Min.X; x < inner.Max.X; x++ {
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if c0, c1 := dst0.RGBAAt(x, y), dst1.RGBAAt(x, y); c0 != c1 {
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t.Errorf("q=%T: at (%d, %d): c0=%v, c1=%v", q, x, y, c0, c1)
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break loop
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}
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}
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}
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}
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}
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}
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// translatedImage is an image m translated by t.
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type translatedImage struct {
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m image.Image
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t image.Point
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}
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func (t *translatedImage) At(x, y int) color.Color { return t.m.At(x-t.t.X, y-t.t.Y) }
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func (t *translatedImage) Bounds() image.Rectangle { return t.m.Bounds().Add(t.t) }
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func (t *translatedImage) ColorModel() color.Model { return t.m.ColorModel() }
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// TestSrcTranslationInvariance tests that Scale and Transform are invariant
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// under src translations. Specifically, when some source pixels are not in the
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// bottom-right quadrant of src coordinate space, we consistently round down,
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// not round towards zero.
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func TestSrcTranslationInvariance(t *testing.T) {
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f, err := os.Open("../testdata/testpattern.png")
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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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qs := []Interpolator{
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NearestNeighbor,
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ApproxBiLinear,
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CatmullRom,
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}
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deltas := []image.Point{
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{+0, +0},
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{+0, +5},
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{+0, -5},
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{+5, +0},
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{-5, +0},
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{+8, +8},
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{+8, -8},
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{-8, +8},
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{-8, -8},
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}
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for _, q := range qs {
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want := image.NewRGBA(image.Rect(0, 0, 200, 200))
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q.Scale(want, want.Bounds(), src, src.Bounds(), nil)
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for _, delta := range deltas {
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tsrc := &translatedImage{src, delta}
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got := image.NewRGBA(image.Rect(0, 0, 200, 200))
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q.Scale(got, got.Bounds(), tsrc, tsrc.Bounds(), nil)
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if !bytes.Equal(got.Pix, want.Pix) {
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t.Errorf("pix differ for delta=%v, q=%T", delta, q)
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}
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// TODO: Transform, once Kernel.Transform is implemented.
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}
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}
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}
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// The fooWrapper types wrap the dst or src image to avoid triggering the
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// type-specific fast path implementations.
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type (
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dstWrapper struct{ Image }
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srcWrapper struct{ image.Image }
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)
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// TestFastPaths tests that the fast path implementations produce identical
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// results to the generic implementation.
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func TestFastPaths(t *testing.T) {
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drs := []image.Rectangle{
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image.Rect(0, 0, 10, 10), // The dst bounds.
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image.Rect(3, 4, 8, 6), // A strict subset of the dst bounds.
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image.Rect(-3, -5, 2, 4), // Partial out-of-bounds #0.
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image.Rect(4, -2, 6, 12), // Partial out-of-bounds #1.
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image.Rect(12, 14, 23, 45), // Complete out-of-bounds.
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image.Rect(5, 5, 5, 5), // Empty.
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}
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srs := []image.Rectangle{
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image.Rect(0, 0, 12, 9), // The src bounds.
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image.Rect(2, 2, 10, 8), // A strict subset of the src bounds.
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image.Rect(10, 5, 20, 20), // Partial out-of-bounds #0.
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image.Rect(-40, 0, 40, 8), // Partial out-of-bounds #1.
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image.Rect(-8, -8, -4, -4), // Complete out-of-bounds.
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image.Rect(5, 5, 5, 5), // Empty.
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}
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srcfs := []func(image.Rectangle) (image.Image, error){
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srcGray,
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srcNRGBA,
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srcRGBA,
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srcUniform,
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srcYCbCr,
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}
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var srcs []image.Image
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for _, srcf := range srcfs {
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src, err := srcf(srs[0])
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if err != nil {
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t.Fatal(err)
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}
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srcs = append(srcs, src)
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}
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qs := []Interpolator{
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NearestNeighbor,
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ApproxBiLinear,
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CatmullRom,
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}
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blue := image.NewUniform(color.RGBA{0x11, 0x22, 0x44, 0x7f})
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for _, dr := range drs {
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for _, src := range srcs {
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for _, sr := range srs {
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for _, q := range qs {
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dst0 := image.NewRGBA(drs[0])
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dst1 := image.NewRGBA(drs[0])
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Draw(dst0, dst0.Bounds(), blue, image.Point{}, Src)
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Draw(dstWrapper{dst1}, dst1.Bounds(), srcWrapper{blue}, image.Point{}, Src)
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q.Scale(dst0, dr, src, sr, nil)
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q.Scale(dstWrapper{dst1}, dr, srcWrapper{src}, sr, nil)
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if !bytes.Equal(dst0.Pix, dst1.Pix) {
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t.Errorf("pix differ for dr=%v, src=%T, sr=%v, q=%T", dr, src, sr, q)
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}
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// TODO: Transform, once Kernel.Transform is implemented.
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}
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}
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}
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}
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}
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func srcGray(boundsHint image.Rectangle) (image.Image, error) {
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m := image.NewGray(boundsHint)
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fillPix(rand.New(rand.NewSource(0)), m.Pix)
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return m, nil
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}
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func srcNRGBA(boundsHint image.Rectangle) (image.Image, error) {
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m := image.NewNRGBA(boundsHint)
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fillPix(rand.New(rand.NewSource(1)), m.Pix)
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return m, nil
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}
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func srcRGBA(boundsHint image.Rectangle) (image.Image, error) {
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m := image.NewRGBA(boundsHint)
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fillPix(rand.New(rand.NewSource(2)), m.Pix)
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// RGBA is alpha-premultiplied, so the R, G and B values should
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// be <= the A values.
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for i := 0; i < len(m.Pix); i += 4 {
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m.Pix[i+0] = uint8(uint32(m.Pix[i+0]) * uint32(m.Pix[i+3]) / 0xff)
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m.Pix[i+1] = uint8(uint32(m.Pix[i+1]) * uint32(m.Pix[i+3]) / 0xff)
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m.Pix[i+2] = uint8(uint32(m.Pix[i+2]) * uint32(m.Pix[i+3]) / 0xff)
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}
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return m, nil
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}
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func srcUniform(boundsHint image.Rectangle) (image.Image, error) {
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return image.NewUniform(color.RGBA64{0x1234, 0x5555, 0x9181, 0xbeef}), nil
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}
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func srcYCbCr(boundsHint image.Rectangle) (image.Image, error) {
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m := image.NewYCbCr(boundsHint, image.YCbCrSubsampleRatio420)
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fillPix(rand.New(rand.NewSource(3)), m.Y, m.Cb, m.Cr)
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return m, nil
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}
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func srcYCbCrLarge(boundsHint image.Rectangle) (image.Image, error) {
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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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return srcYCbCr(image.Rect(0, 0, 3072, 2304))
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}
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func srcTux(boundsHint image.Rectangle) (image.Image, error) {
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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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return nil, fmt.Errorf("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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return nil, fmt.Errorf("Decode: %v", err)
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}
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return src, nil
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}
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func benchScale(b *testing.B, srcf func(image.Rectangle) (image.Image, error), w int, h int, q Interpolator) {
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dst := image.NewRGBA(image.Rect(0, 0, w, h))
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src, err := srcf(image.Rect(0, 0, 1024, 768))
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if err != nil {
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b.Fatal(err)
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}
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dr, sr := dst.Bounds(), src.Bounds()
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scaler := Scaler(q)
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if n, ok := q.(interface {
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NewScaler(int, int, int, int) Scaler
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}); ok {
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scaler = n.NewScaler(dr.Dx(), dr.Dy(), sr.Dx(), sr.Dy())
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}
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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, src, sr, nil)
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}
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}
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func benchTform(b *testing.B, srcf func(image.Rectangle) (image.Image, error), w int, h int, q Interpolator) {
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dst := image.NewRGBA(image.Rect(0, 0, w, h))
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src, err := srcf(image.Rect(0, 0, 1024, 768))
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if err != nil {
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b.Fatal(err)
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}
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sr := src.Bounds()
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b.ResetTimer()
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for i := 0; i < b.N; i++ {
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q.Transform(dst, transformMatrix, src, sr, nil)
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}
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}
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func BenchmarkScaleLargeDownNN(b *testing.B) { benchScale(b, srcYCbCrLarge, 200, 150, NearestNeighbor) }
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func BenchmarkScaleLargeDownAB(b *testing.B) { benchScale(b, srcYCbCrLarge, 200, 150, ApproxBiLinear) }
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func BenchmarkScaleLargeDownBL(b *testing.B) { benchScale(b, srcYCbCrLarge, 200, 150, BiLinear) }
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func BenchmarkScaleLargeDownCR(b *testing.B) { benchScale(b, srcYCbCrLarge, 200, 150, CatmullRom) }
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func BenchmarkScaleDownNN(b *testing.B) { benchScale(b, srcTux, 120, 80, NearestNeighbor) }
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func BenchmarkScaleDownAB(b *testing.B) { benchScale(b, srcTux, 120, 80, ApproxBiLinear) }
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func BenchmarkScaleDownBL(b *testing.B) { benchScale(b, srcTux, 120, 80, BiLinear) }
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func BenchmarkScaleDownCR(b *testing.B) { benchScale(b, srcTux, 120, 80, CatmullRom) }
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func BenchmarkScaleUpNN(b *testing.B) { benchScale(b, srcTux, 800, 600, NearestNeighbor) }
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func BenchmarkScaleUpAB(b *testing.B) { benchScale(b, srcTux, 800, 600, ApproxBiLinear) }
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func BenchmarkScaleUpBL(b *testing.B) { benchScale(b, srcTux, 800, 600, BiLinear) }
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func BenchmarkScaleUpCR(b *testing.B) { benchScale(b, srcTux, 800, 600, CatmullRom) }
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func BenchmarkScaleSrcGray(b *testing.B) { benchScale(b, srcGray, 200, 150, ApproxBiLinear) }
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func BenchmarkScaleSrcNRGBA(b *testing.B) { benchScale(b, srcNRGBA, 200, 150, ApproxBiLinear) }
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func BenchmarkScaleSrcRGBA(b *testing.B) { benchScale(b, srcRGBA, 200, 150, ApproxBiLinear) }
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func BenchmarkScaleSrcUniform(b *testing.B) { benchScale(b, srcUniform, 200, 150, ApproxBiLinear) }
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func BenchmarkScaleSrcYCbCr(b *testing.B) { benchScale(b, srcYCbCr, 200, 150, ApproxBiLinear) }
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func BenchmarkTformSrcGray(b *testing.B) { benchTform(b, srcGray, 200, 150, ApproxBiLinear) }
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func BenchmarkTformSrcNRGBA(b *testing.B) { benchTform(b, srcNRGBA, 200, 150, ApproxBiLinear) }
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func BenchmarkTformSrcRGBA(b *testing.B) { benchTform(b, srcRGBA, 200, 150, ApproxBiLinear) }
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func BenchmarkTformSrcUniform(b *testing.B) { benchTform(b, srcUniform, 200, 150, ApproxBiLinear) }
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func BenchmarkTformSrcYCbCr(b *testing.B) { benchTform(b, srcYCbCr, 200, 150, ApproxBiLinear) }
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