golang-image/draw/scale_test.go
Nigel Tao 2c27a34d37 draw: make Scale an Interpolator method instead of a function.
This means that only Kernel values have a NewScaler method, which
re-uses computation when scaling multiple images of the same dst and src
dimensions. The NearestNeighbor and ApproxBiLinear scalers don't get any
pre-computation to re-use, so don't need a NewScaler method just to
satisfy the previous Interpolator interface. As a small bonus, NN.Scale
and ABL.Scale should no longer allocate on the fast paths.

This change is consistent the upcoming Transformer method, so that the
Interpolator interface will be

type Interpolator interface {
	Scale(etc)
	Transform(etc)
}

instead of

type Interpolator interface {
	NewScaler(etc) Scaler
	Transform(etc)
}

I don't have a good theory for why the "func (ablInterpolator)
scale_RGBA_RGBA" benchmark is such a dramatic improvement, but at least
it's in the right direction. I'm calling the other benchmark changes as
noise.

benchmark                     old ns/op      new ns/op      delta
BenchmarkScaleLargeDownNN     3233406        3169060        -1.99%
BenchmarkScaleLargeDownAB     12018178       12011348       -0.06%
BenchmarkScaleLargeDownBL     1420827834     1409335695     -0.81%
BenchmarkScaleLargeDownCR     2820669690     2795534035     -0.89%
BenchmarkScaleDownNN          866628         869241         +0.30%
BenchmarkScaleDownAB          3175963        3216041        +1.26%
BenchmarkScaleDownBL          26639767       26677003       +0.14%
BenchmarkScaleDownCR          51720996       51621628       -0.19%
BenchmarkScaleUpNN            42758485       43258611       +1.17%
BenchmarkScaleUpAB            156693813      156943367      +0.16%
BenchmarkScaleUpBL            69511444       69621698       +0.16%
BenchmarkScaleUpCR            124530191      124885601      +0.29%
BenchmarkScaleSrcGray         8992205        9129321        +1.52%
BenchmarkScaleSrcNRGBA        9807837        9894466        +0.88%
BenchmarkScaleSrcRGBA         1333188        1104282        -17.17%
BenchmarkScaleSrcUniform      1147788        1162488        +1.28%
BenchmarkScaleSrcYCbCr        12164542       12305373       +1.16%

Change-Id: I2aee6c392eb7437e843260775aed97ce145b4d47
Reviewed-on: https://go-review.googlesource.com/6556
Reviewed-by: Rob Pike <r@golang.org>
2015-03-04 22:50:18 +00:00

296 lines
9.0 KiB
Go

// 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"
_ "image/jpeg"
)
var genScaleFiles = flag.Bool("gen_scale_files", false, "whether to generate the TestScaleXxx golden files.")
// testScale tests that scaling the source image gives the exact destination
// image. This is to ensure that any refactoring or optimization of the scaling
// code doesn't change the scaling 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_scale_files flag to regenerate
// the golden files.
func testScale(t *testing.T, w int, h int, direction, srcFilename string) {
f, err := os.Open("../testdata/go-turns-two-" + srcFilename)
if err != nil {
t.Fatalf("Open: %v", err)
}
defer f.Close()
src, _, err := image.Decode(f)
if err != nil {
t.Fatalf("Decode: %v", err)
}
testCases := map[string]Interpolator{
"nn": NearestNeighbor,
"ab": ApproxBiLinear,
"bl": BiLinear,
"cr": CatmullRom,
}
for name, q := range testCases {
gotFilename := fmt.Sprintf("../testdata/go-turns-two-%s-%s.png", direction, name)
got := image.NewRGBA(image.Rect(0, 0, w, h))
q.Scale(got, got.Bounds(), src, src.Bounds())
if *genScaleFiles {
g, err := os.Create(gotFilename)
if err != nil {
t.Errorf("Create: %v", err)
continue
}
defer g.Close()
if err := png.Encode(g, got); err != nil {
t.Errorf("Encode: %v", err)
continue
}
continue
}
g, err := os.Open(gotFilename)
if err != nil {
t.Errorf("Open: %v", err)
continue
}
defer g.Close()
want, err := png.Decode(g)
if err != nil {
t.Errorf("Decode: %v", err)
continue
}
if !reflect.DeepEqual(got, want) {
t.Errorf("%s: actual image differs from golden image", gotFilename)
continue
}
}
}
func TestScaleDown(t *testing.T) { testScale(t, 100, 100, "down", "280x360.jpeg") }
func TestScaleUp(t *testing.T) { testScale(t, 75, 100, "up", "14x18.png") }
func fillPix(r *rand.Rand, pixs ...[]byte) {
for _, pix := range pixs {
for i := range pix {
pix[i] = uint8(r.Intn(256))
}
}
}
func TestScaleClipCommute(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 _, 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)
}
// Scale then clip.
q.Scale(dst0, outer, src, src.Bounds())
dst0 = dst0.SubImage(inner).(*image.RGBA)
// Clip then scale.
dst1 = dst1.SubImage(inner).(*image.RGBA)
q.Scale(dst1, outer, src, src.Bounds())
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
}
}
}
}
}
// 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 }
)
// TestFastPaths tests that the fast path implementations produce identical
// results to the generic implementation.
func TestFastPaths(t *testing.T) {
drs := []image.Rectangle{
image.Rect(0, 0, 10, 10), // The dst bounds.
image.Rect(3, 4, 8, 6), // A strict subset of the dst bounds.
image.Rect(-3, -5, 2, 4), // Partial out-of-bounds #0.
image.Rect(4, -2, 6, 12), // Partial out-of-bounds #1.
image.Rect(12, 14, 23, 45), // Complete out-of-bounds.
image.Rect(5, 5, 5, 5), // Empty.
}
srs := []image.Rectangle{
image.Rect(0, 0, 12, 9), // The src bounds.
image.Rect(2, 2, 10, 8), // A strict subset of the src bounds.
image.Rect(10, 5, 20, 20), // Partial out-of-bounds #0.
image.Rect(-40, 0, 40, 8), // Partial out-of-bounds #1.
image.Rect(-8, -8, -4, -4), // Complete out-of-bounds.
image.Rect(5, 5, 5, 5), // Empty.
}
srcfs := []func(image.Rectangle) (image.Image, error){
srcGray,
srcNRGBA,
srcRGBA,
srcUniform,
srcYCbCr,
}
var srcs []image.Image
for _, srcf := range srcfs {
src, err := srcf(srs[0])
if err != nil {
t.Fatal(err)
}
srcs = append(srcs, src)
}
qs := []Interpolator{
NearestNeighbor,
ApproxBiLinear,
CatmullRom,
}
blue := image.NewUniform(color.RGBA{0x11, 0x22, 0x44, 0x7f})
for _, dr := range drs {
for _, src := range srcs {
for _, sr := range srs {
for _, q := range qs {
dst0 := image.NewRGBA(drs[0])
dst1 := image.NewRGBA(drs[0])
Draw(dst0, dst0.Bounds(), blue, image.Point{}, Src)
Draw(dstWrapper{dst1}, dst1.Bounds(), srcWrapper{blue}, image.Point{}, Src)
q.Scale(dst0, dr, src, sr)
q.Scale(dstWrapper{dst1}, dr, srcWrapper{src}, sr)
if !bytes.Equal(dst0.Pix, dst1.Pix) {
t.Errorf("pix differ for dr=%v, src=%T, sr=%v, q=%T", dr, src, sr, q)
}
}
}
}
}
}
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 srcUniform(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 srcYCbCrLarge(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, srcf func(image.Rectangle) (image.Image, error), w int, h int, 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.ResetTimer()
for i := 0; i < b.N; i++ {
scaler.Scale(dst, dr, src, sr)
}
}
func BenchmarkScaleLargeDownNN(b *testing.B) { benchScale(b, srcYCbCrLarge, 200, 150, NearestNeighbor) }
func BenchmarkScaleLargeDownAB(b *testing.B) { benchScale(b, srcYCbCrLarge, 200, 150, ApproxBiLinear) }
func BenchmarkScaleLargeDownBL(b *testing.B) { benchScale(b, srcYCbCrLarge, 200, 150, BiLinear) }
func BenchmarkScaleLargeDownCR(b *testing.B) { benchScale(b, srcYCbCrLarge, 200, 150, CatmullRom) }
func BenchmarkScaleDownNN(b *testing.B) { benchScale(b, srcTux, 120, 80, NearestNeighbor) }
func BenchmarkScaleDownAB(b *testing.B) { benchScale(b, srcTux, 120, 80, ApproxBiLinear) }
func BenchmarkScaleDownBL(b *testing.B) { benchScale(b, srcTux, 120, 80, BiLinear) }
func BenchmarkScaleDownCR(b *testing.B) { benchScale(b, srcTux, 120, 80, CatmullRom) }
func BenchmarkScaleUpNN(b *testing.B) { benchScale(b, srcTux, 800, 600, NearestNeighbor) }
func BenchmarkScaleUpAB(b *testing.B) { benchScale(b, srcTux, 800, 600, ApproxBiLinear) }
func BenchmarkScaleUpBL(b *testing.B) { benchScale(b, srcTux, 800, 600, BiLinear) }
func BenchmarkScaleUpCR(b *testing.B) { benchScale(b, srcTux, 800, 600, CatmullRom) }
func BenchmarkScaleSrcGray(b *testing.B) { benchScale(b, srcGray, 200, 150, ApproxBiLinear) }
func BenchmarkScaleSrcNRGBA(b *testing.B) { benchScale(b, srcNRGBA, 200, 150, ApproxBiLinear) }
func BenchmarkScaleSrcRGBA(b *testing.B) { benchScale(b, srcRGBA, 200, 150, ApproxBiLinear) }
func BenchmarkScaleSrcUniform(b *testing.B) { benchScale(b, srcUniform, 200, 150, ApproxBiLinear) }
func BenchmarkScaleSrcYCbCr(b *testing.B) { benchScale(b, srcYCbCr, 200, 150, ApproxBiLinear) }