vendor: golang.org/x/image/draw

At rev b3d8467d91f6ab3c9240e1c1e98309baf9ba6343

For rescaling YCbCr images (next commits).

Change-Id: I5e6169ddd9cc2b1b933d9482adfbec08c7e378d9
This commit is contained in:
mpl 2015-09-04 01:20:29 +02:00
parent 467aa73750
commit 45c77f8379
8 changed files with 9659 additions and 0 deletions

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// 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 provides image composition functions.
//
// See "The Go image/draw package" for an introduction to this package:
// http://golang.org/doc/articles/image_draw.html
//
// This package is a superset of and a drop-in replacement for the image/draw
// package in the standard library.
package draw
// This file just contains the API exported by the image/draw package in the
// standard library. Other files in this package provide additional features.
import (
"image"
"image/color"
"image/draw"
)
// Draw calls DrawMask with a nil mask.
func Draw(dst Image, r image.Rectangle, src image.Image, sp image.Point, op Op) {
draw.Draw(dst, r, src, sp, draw.Op(op))
}
// DrawMask aligns r.Min in dst with sp in src and mp in mask and then
// replaces the rectangle r in dst with the result of a Porter-Duff
// composition. A nil mask is treated as opaque.
func DrawMask(dst Image, r image.Rectangle, src image.Image, sp image.Point, mask image.Image, mp image.Point, op Op) {
draw.DrawMask(dst, r, src, sp, mask, mp, draw.Op(op))
}
// Drawer contains the Draw method.
type Drawer interface {
// Draw aligns r.Min in dst with sp in src and then replaces the
// rectangle r in dst with the result of drawing src on dst.
Draw(dst Image, r image.Rectangle, src image.Image, sp image.Point)
}
// FloydSteinberg is a Drawer that is the Src Op with Floyd-Steinberg error
// diffusion.
var FloydSteinberg Drawer = floydSteinberg{}
type floydSteinberg struct{}
func (floydSteinberg) Draw(dst Image, r image.Rectangle, src image.Image, sp image.Point) {
draw.FloydSteinberg.Draw(dst, r, src, sp)
}
// Image is an image.Image with a Set method to change a single pixel.
type Image interface {
image.Image
Set(x, y int, c color.Color)
}
// Op is a Porter-Duff compositing operator.
type Op int
const (
// Over specifies ``(src in mask) over dst''.
Over Op = Op(draw.Over)
// Src specifies ``src in mask''.
Src Op = Op(draw.Src)
)
// Draw implements the Drawer interface by calling the Draw function with
// this Op.
func (op Op) Draw(dst Image, r image.Rectangle, src image.Image, sp image.Point) {
(draw.Op(op)).Draw(dst, r, src, sp)
}
// Quantizer produces a palette for an image.
type Quantizer interface {
// Quantize appends up to cap(p) - len(p) colors to p and returns the
// updated palette suitable for converting m to a paletted image.
Quantize(p color.Palette, m image.Image) color.Palette
}

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// 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_test
import (
"fmt"
"image"
"image/color"
"image/png"
"log"
"math"
"os"
"golang.org/x/image/draw"
"golang.org/x/image/math/f64"
)
func ExampleDraw() {
fSrc, err := os.Open("../testdata/blue-purple-pink.png")
if err != nil {
log.Fatal(err)
}
defer fSrc.Close()
src, err := png.Decode(fSrc)
if err != nil {
log.Fatal(err)
}
dst := image.NewRGBA(image.Rect(0, 0, 400, 300))
green := image.NewUniform(color.RGBA{0x00, 0x1f, 0x00, 0xff})
draw.Copy(dst, image.Point{}, green, dst.Bounds(), draw.Src, nil)
qs := []draw.Interpolator{
draw.NearestNeighbor,
draw.ApproxBiLinear,
draw.CatmullRom,
}
const cos60, sin60 = 0.5, 0.866025404
t := f64.Aff3{
+2 * cos60, -2 * sin60, 100,
+2 * sin60, +2 * cos60, 100,
}
draw.Copy(dst, image.Point{20, 30}, src, src.Bounds(), draw.Over, nil)
for i, q := range qs {
q.Scale(dst, image.Rect(200+10*i, 100*i, 600+10*i, 150+100*i), src, src.Bounds(), draw.Over, nil)
}
draw.NearestNeighbor.Transform(dst, t, src, src.Bounds(), draw.Over, nil)
red := image.NewNRGBA(image.Rect(0, 0, 16, 16))
for y := 0; y < 16; y++ {
for x := 0; x < 16; x++ {
red.SetNRGBA(x, y, color.NRGBA{
R: uint8(x * 0x11),
A: uint8(y * 0x11),
})
}
}
red.SetNRGBA(0, 0, color.NRGBA{0xff, 0xff, 0x00, 0xff})
red.SetNRGBA(15, 15, color.NRGBA{0xff, 0xff, 0x00, 0xff})
ops := []draw.Op{
draw.Over,
draw.Src,
}
for i, op := range ops {
dr := image.Rect(120+10*i, 150+60*i, 170+10*i, 200+60*i)
draw.NearestNeighbor.Scale(dst, dr, red, red.Bounds(), op, nil)
t := f64.Aff3{
+cos60, -sin60, float64(190 + 10*i),
+sin60, +cos60, float64(140 + 50*i),
}
draw.NearestNeighbor.Transform(dst, t, red, red.Bounds(), op, nil)
}
dr := image.Rect(0, 0, 128, 128)
checkerboard := image.NewAlpha(dr)
for y := dr.Min.Y; y < dr.Max.Y; y++ {
for x := dr.Min.X; x < dr.Max.X; x++ {
if (x/20)%2 == (y/20)%2 {
checkerboard.SetAlpha(x, y, color.Alpha{0xff})
}
}
}
sr := image.Rect(0, 0, 16, 16)
circle := image.NewAlpha(sr)
for y := sr.Min.Y; y < sr.Max.Y; y++ {
for x := sr.Min.X; x < sr.Max.X; x++ {
dx, dy := x-10, y-8
if d := 32 * math.Sqrt(float64(dx*dx)+float64(dy*dy)); d < 0xff {
circle.SetAlpha(x, y, color.Alpha{0xff - uint8(d)})
}
}
}
cyan := image.NewUniform(color.RGBA{0x00, 0xff, 0xff, 0xff})
draw.NearestNeighbor.Scale(dst, dr, cyan, sr, draw.Over, &draw.Options{
DstMask: checkerboard,
SrcMask: circle,
})
// Change false to true to write the resultant image to disk.
if true {
fDst, err := os.Create("out.png")
if err != nil {
log.Fatal(err)
}
defer fDst.Close()
err = png.Encode(fDst, dst)
if err != nil {
log.Fatal(err)
}
}
fmt.Printf("dst has bounds %v.\n", dst.Bounds())
// Output:
// dst has bounds (0,0)-(400,300).
}

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// 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.
//go:generate go run gen.go
package draw
import (
"image"
"image/color"
"math"
"sync"
"golang.org/x/image/math/f64"
)
// Copy copies the part of the source image defined by src and sr and writes
// the result of a Porter-Duff composition to the part of the destination image
// defined by dst and the translation of sr so that sr.Min translates to dp.
func Copy(dst Image, dp image.Point, src image.Image, sr image.Rectangle, op Op, opts *Options) {
var o Options
if opts != nil {
o = *opts
}
dr := sr.Add(dp.Sub(sr.Min))
if o.DstMask == nil {
DrawMask(dst, dr, src, sr.Min, o.SrcMask, o.SrcMaskP.Add(sr.Min), op)
} else {
NearestNeighbor.Scale(dst, dr, src, sr, op, opts)
}
}
// Scaler scales the part of the source image defined by src and sr and writes
// the result of a Porter-Duff composition to the part of the destination image
// defined by dst and dr.
//
// A Scaler is safe to use concurrently.
type Scaler interface {
Scale(dst Image, dr image.Rectangle, src image.Image, sr image.Rectangle, op Op, opts *Options)
}
// Transformer transforms the part of the source image defined by src and sr
// and writes the result of a Porter-Duff composition to the part of the
// destination image defined by dst and the affine transform m applied to sr.
//
// For example, if m is the matrix
//
// m00 m01 m02
// m10 m11 m12
//
// then the src-space point (sx, sy) maps to the dst-space point
// (m00*sx + m01*sy + m02, m10*sx + m11*sy + m12).
//
// A Transformer is safe to use concurrently.
type Transformer interface {
Transform(dst Image, m f64.Aff3, src image.Image, sr image.Rectangle, op Op, opts *Options)
}
// Options are optional parameters to Copy, Scale and Transform.
//
// A nil *Options means to use the default (zero) values of each field.
type Options struct {
// Masks limit what parts of the dst image are drawn to and what parts of
// the src image are drawn from.
//
// A dst or src mask image having a zero alpha (transparent) pixel value in
// the respective coordinate space means that that dst pixel is entirely
// unaffected or that src pixel is considered transparent black. A full
// alpha (opaque) value means that the dst pixel is maximally affected or
// the src pixel contributes maximally. The default values, nil, are
// equivalent to fully opaque, infinitely large mask images.
//
// The DstMask is otherwise known as a clip mask, and its pixels map 1:1 to
// the dst image's pixels. DstMaskP in DstMask space corresponds to
// image.Point{X:0, Y:0} in dst space. For example, when limiting
// repainting to a 'dirty rectangle', use that image.Rectangle and a zero
// image.Point as the DstMask and DstMaskP.
//
// The SrcMask's pixels map 1:1 to the src image's pixels. SrcMaskP in
// SrcMask space corresponds to image.Point{X:0, Y:0} in src space. For
// example, when drawing font glyphs in a uniform color, use an
// *image.Uniform as the src, and use the glyph atlas image and the
// per-glyph offset as SrcMask and SrcMaskP:
// Copy(dst, dp, image.NewUniform(color), image.Rect(0, 0, glyphWidth, glyphHeight), &Options{
// SrcMask: glyphAtlas,
// SrcMaskP: glyphOffset,
// })
DstMask image.Image
DstMaskP image.Point
SrcMask image.Image
SrcMaskP image.Point
// TODO: a smooth vs sharp edges option, for arbitrary rotations?
}
// Interpolator is an interpolation algorithm, when dst and src pixels don't
// have a 1:1 correspondence.
//
// Of the interpolators provided by this package:
// - NearestNeighbor is fast but usually looks worst.
// - CatmullRom is slow but usually looks best.
// - ApproxBiLinear has reasonable speed and quality.
//
// The time taken depends on the size of dr. For kernel interpolators, the
// speed also depends on the size of sr, and so are often slower than
// non-kernel interpolators, especially when scaling down.
type Interpolator interface {
Scaler
Transformer
}
// Kernel is an interpolator that blends source pixels weighted by a symmetric
// kernel function.
type Kernel struct {
// Support is the kernel support and must be >= 0. At(t) is assumed to be
// zero when t >= Support.
Support float64
// At is the kernel function. It will only be called with t in the
// range [0, Support).
At func(t float64) float64
}
// Scale implements the Scaler interface.
func (q *Kernel) Scale(dst Image, dr image.Rectangle, src image.Image, sr image.Rectangle, op Op, opts *Options) {
q.newScaler(dr.Dx(), dr.Dy(), sr.Dx(), sr.Dy(), false).Scale(dst, dr, src, sr, op, opts)
}
// NewScaler returns a Scaler that is optimized for scaling multiple times with
// the same fixed destination and source width and height.
func (q *Kernel) NewScaler(dw, dh, sw, sh int) Scaler {
return q.newScaler(dw, dh, sw, sh, true)
}
func (q *Kernel) newScaler(dw, dh, sw, sh int, usePool bool) Scaler {
z := &kernelScaler{
kernel: q,
dw: int32(dw),
dh: int32(dh),
sw: int32(sw),
sh: int32(sh),
horizontal: newDistrib(q, int32(dw), int32(sw)),
vertical: newDistrib(q, int32(dh), int32(sh)),
}
if usePool {
z.pool.New = func() interface{} {
tmp := z.makeTmpBuf()
return &tmp
}
}
return z
}
var (
// NearestNeighbor is the nearest neighbor interpolator. It is very fast,
// but usually gives very low quality results. When scaling up, the result
// will look 'blocky'.
NearestNeighbor = Interpolator(nnInterpolator{})
// ApproxBiLinear is a mixture of the nearest neighbor and bi-linear
// interpolators. It is fast, but usually gives medium quality results.
//
// It implements bi-linear interpolation when upscaling and a bi-linear
// blend of the 4 nearest neighbor pixels when downscaling. This yields
// nicer quality than nearest neighbor interpolation when upscaling, but
// the time taken is independent of the number of source pixels, unlike the
// bi-linear interpolator. When downscaling a large image, the performance
// difference can be significant.
ApproxBiLinear = Interpolator(ablInterpolator{})
// BiLinear is the tent kernel. It is slow, but usually gives high quality
// results.
BiLinear = &Kernel{1, func(t float64) float64 {
return 1 - t
}}
// CatmullRom is the Catmull-Rom kernel. It is very slow, but usually gives
// very high quality results.
//
// It is an instance of the more general cubic BC-spline kernel with parameters
// B=0 and C=0.5. See Mitchell and Netravali, "Reconstruction Filters in
// Computer Graphics", Computer Graphics, Vol. 22, No. 4, pp. 221-228.
CatmullRom = &Kernel{2, func(t float64) float64 {
if t < 1 {
return (1.5*t-2.5)*t*t + 1
}
return ((-0.5*t+2.5)*t-4)*t + 2
}}
// TODO: a Kaiser-Bessel kernel?
)
type nnInterpolator struct{}
type ablInterpolator struct{}
type kernelScaler struct {
kernel *Kernel
dw, dh, sw, sh int32
horizontal, vertical distrib
pool sync.Pool
}
func (z *kernelScaler) makeTmpBuf() [][4]float64 {
return make([][4]float64, z.dw*z.sh)
}
// source is a range of contribs, their inverse total weight, and that ITW
// divided by 0xffff.
type source struct {
i, j int32
invTotalWeight float64
invTotalWeightFFFF float64
}
// contrib is the weight of a column or row.
type contrib struct {
coord int32
weight float64
}
// distrib measures how source pixels are distributed over destination pixels.
type distrib struct {
// sources are what contribs each column or row in the source image owns,
// and the total weight of those contribs.
sources []source
// contribs are the contributions indexed by sources[s].i and sources[s].j.
contribs []contrib
}
// newDistrib returns a distrib that distributes sw source columns (or rows)
// over dw destination columns (or rows).
func newDistrib(q *Kernel, dw, sw int32) distrib {
scale := float64(sw) / float64(dw)
halfWidth, kernelArgScale := q.Support, 1.0
// When shrinking, broaden the effective kernel support so that we still
// visit every source pixel.
if scale > 1 {
halfWidth *= scale
kernelArgScale = 1 / scale
}
// Make the sources slice, one source for each column or row, and temporarily
// appropriate its elements' fields so that invTotalWeight is the scaled
// coordinate of the source column or row, and i and j are the lower and
// upper bounds of the range of destination columns or rows affected by the
// source column or row.
n, sources := int32(0), make([]source, dw)
for x := range sources {
center := (float64(x)+0.5)*scale - 0.5
i := int32(math.Floor(center - halfWidth))
if i < 0 {
i = 0
}
j := int32(math.Ceil(center + halfWidth))
if j > sw {
j = sw
if j < i {
j = i
}
}
sources[x] = source{i: i, j: j, invTotalWeight: center}
n += j - i
}
contribs := make([]contrib, 0, n)
for k, b := range sources {
totalWeight := 0.0
l := int32(len(contribs))
for coord := b.i; coord < b.j; coord++ {
t := abs((b.invTotalWeight - float64(coord)) * kernelArgScale)
if t >= q.Support {
continue
}
weight := q.At(t)
if weight == 0 {
continue
}
totalWeight += weight
contribs = append(contribs, contrib{coord, weight})
}
totalWeight = 1 / totalWeight
sources[k] = source{
i: l,
j: int32(len(contribs)),
invTotalWeight: totalWeight,
invTotalWeightFFFF: totalWeight / 0xffff,
}
}
return distrib{sources, contribs}
}
// abs is like math.Abs, but it doesn't care about negative zero, infinities or
// NaNs.
func abs(f float64) float64 {
if f < 0 {
f = -f
}
return f
}
// ftou converts the range [0.0, 1.0] to [0, 0xffff].
func ftou(f float64) uint16 {
i := int32(0xffff*f + 0.5)
if i > 0xffff {
return 0xffff
}
if i > 0 {
return uint16(i)
}
return 0
}
// fffftou converts the range [0.0, 65535.0] to [0, 0xffff].
func fffftou(f float64) uint16 {
i := int32(f + 0.5)
if i > 0xffff {
return 0xffff
}
if i > 0 {
return uint16(i)
}
return 0
}
// invert returns the inverse of m.
//
// TODO: move this into the f64 package, once we work out the convention for
// matrix methods in that package: do they modify the receiver, take a dst
// pointer argument, or return a new value?
func invert(m *f64.Aff3) f64.Aff3 {
m00 := +m[3*1+1]
m01 := -m[3*0+1]
m02 := +m[3*1+2]*m[3*0+1] - m[3*1+1]*m[3*0+2]
m10 := -m[3*1+0]
m11 := +m[3*0+0]
m12 := +m[3*1+0]*m[3*0+2] - m[3*1+2]*m[3*0+0]
det := m00*m11 - m10*m01
return f64.Aff3{
m00 / det,
m01 / det,
m02 / det,
m10 / det,
m11 / det,
m12 / det,
}
}
func matMul(p, q *f64.Aff3) f64.Aff3 {
return f64.Aff3{
p[3*0+0]*q[3*0+0] + p[3*0+1]*q[3*1+0],
p[3*0+0]*q[3*0+1] + p[3*0+1]*q[3*1+1],
p[3*0+0]*q[3*0+2] + p[3*0+1]*q[3*1+2] + p[3*0+2],
p[3*1+0]*q[3*0+0] + p[3*1+1]*q[3*1+0],
p[3*1+0]*q[3*0+1] + p[3*1+1]*q[3*1+1],
p[3*1+0]*q[3*0+2] + p[3*1+1]*q[3*1+2] + p[3*1+2],
}
}
// transformRect returns a rectangle dr that contains sr transformed by s2d.
func transformRect(s2d *f64.Aff3, sr *image.Rectangle) (dr image.Rectangle) {
ps := [...]image.Point{
{sr.Min.X, sr.Min.Y},
{sr.Max.X, sr.Min.Y},
{sr.Min.X, sr.Max.Y},
{sr.Max.X, sr.Max.Y},
}
for i, p := range ps {
sxf := float64(p.X)
syf := float64(p.Y)
dx := int(math.Floor(s2d[0]*sxf + s2d[1]*syf + s2d[2]))
dy := int(math.Floor(s2d[3]*sxf + s2d[4]*syf + s2d[5]))
// The +1 adjustments below are because an image.Rectangle is inclusive
// on the low end but exclusive on the high end.
if i == 0 {
dr = image.Rectangle{
Min: image.Point{dx + 0, dy + 0},
Max: image.Point{dx + 1, dy + 1},
}
continue
}
if dr.Min.X > dx {
dr.Min.X = dx
}
dx++
if dr.Max.X < dx {
dr.Max.X = dx
}
if dr.Min.Y > dy {
dr.Min.Y = dy
}
dy++
if dr.Max.Y < dy {
dr.Max.Y = dy
}
}
return dr
}
func clipAffectedDestRect(adr image.Rectangle, dstMask image.Image, dstMaskP image.Point) (image.Rectangle, image.Image) {
if dstMask == nil {
return adr, nil
}
// TODO: enable this fast path once Go 1.5 is released, where an
// image.Rectangle implements image.Image.
// if r, ok := dstMask.(image.Rectangle); ok {
// return adr.Intersect(r.Sub(dstMaskP)), nil
// }
// TODO: clip to dstMask.Bounds() if the color model implies that out-of-bounds means 0 alpha?
return adr, dstMask
}
func transform_Uniform(dst Image, dr, adr image.Rectangle, d2s *f64.Aff3, src *image.Uniform, sr image.Rectangle, bias image.Point, op Op) {
switch op {
case Over:
switch dst := dst.(type) {
case *image.RGBA:
pr, pg, pb, pa := src.C.RGBA()
pa1 := (0xffff - pa) * 0x101
for dy := int32(adr.Min.Y); dy < int32(adr.Max.Y); dy++ {
dyf := float64(dr.Min.Y+int(dy)) + 0.5
d := dst.PixOffset(dr.Min.X+adr.Min.X, dr.Min.Y+int(dy))
for dx := int32(adr.Min.X); dx < int32(adr.Max.X); dx, d = dx+1, d+4 {
dxf := float64(dr.Min.X+int(dx)) + 0.5
sx0 := int(d2s[0]*dxf+d2s[1]*dyf+d2s[2]) + bias.X
sy0 := int(d2s[3]*dxf+d2s[4]*dyf+d2s[5]) + bias.Y
if !(image.Point{sx0, sy0}).In(sr) {
continue
}
dst.Pix[d+0] = uint8((uint32(dst.Pix[d+0])*pa1/0xffff + pr) >> 8)
dst.Pix[d+1] = uint8((uint32(dst.Pix[d+1])*pa1/0xffff + pg) >> 8)
dst.Pix[d+2] = uint8((uint32(dst.Pix[d+2])*pa1/0xffff + pb) >> 8)
dst.Pix[d+3] = uint8((uint32(dst.Pix[d+3])*pa1/0xffff + pa) >> 8)
}
}
default:
pr, pg, pb, pa := src.C.RGBA()
pa1 := 0xffff - pa
dstColorRGBA64 := &color.RGBA64{}
dstColor := color.Color(dstColorRGBA64)
for dy := int32(adr.Min.Y); dy < int32(adr.Max.Y); dy++ {
dyf := float64(dr.Min.Y+int(dy)) + 0.5
for dx := int32(adr.Min.X); dx < int32(adr.Max.X); dx++ {
dxf := float64(dr.Min.X+int(dx)) + 0.5
sx0 := int(d2s[0]*dxf+d2s[1]*dyf+d2s[2]) + bias.X
sy0 := int(d2s[3]*dxf+d2s[4]*dyf+d2s[5]) + bias.Y
if !(image.Point{sx0, sy0}).In(sr) {
continue
}
qr, qg, qb, qa := dst.At(dr.Min.X+int(dx), dr.Min.Y+int(dy)).RGBA()
dstColorRGBA64.R = uint16(qr*pa1/0xffff + pr)
dstColorRGBA64.G = uint16(qg*pa1/0xffff + pg)
dstColorRGBA64.B = uint16(qb*pa1/0xffff + pb)
dstColorRGBA64.A = uint16(qa*pa1/0xffff + pa)
dst.Set(dr.Min.X+int(dx), dr.Min.Y+int(dy), dstColor)
}
}
}
case Src:
switch dst := dst.(type) {
case *image.RGBA:
pr, pg, pb, pa := src.C.RGBA()
pr8 := uint8(pr >> 8)
pg8 := uint8(pg >> 8)
pb8 := uint8(pb >> 8)
pa8 := uint8(pa >> 8)
for dy := int32(adr.Min.Y); dy < int32(adr.Max.Y); dy++ {
dyf := float64(dr.Min.Y+int(dy)) + 0.5
d := dst.PixOffset(dr.Min.X+adr.Min.X, dr.Min.Y+int(dy))
for dx := int32(adr.Min.X); dx < int32(adr.Max.X); dx, d = dx+1, d+4 {
dxf := float64(dr.Min.X+int(dx)) + 0.5
sx0 := int(d2s[0]*dxf+d2s[1]*dyf+d2s[2]) + bias.X
sy0 := int(d2s[3]*dxf+d2s[4]*dyf+d2s[5]) + bias.Y
if !(image.Point{sx0, sy0}).In(sr) {
continue
}
dst.Pix[d+0] = pr8
dst.Pix[d+1] = pg8
dst.Pix[d+2] = pb8
dst.Pix[d+3] = pa8
}
}
default:
pr, pg, pb, pa := src.C.RGBA()
dstColorRGBA64 := &color.RGBA64{
uint16(pr),
uint16(pg),
uint16(pb),
uint16(pa),
}
dstColor := color.Color(dstColorRGBA64)
for dy := int32(adr.Min.Y); dy < int32(adr.Max.Y); dy++ {
dyf := float64(dr.Min.Y+int(dy)) + 0.5
for dx := int32(adr.Min.X); dx < int32(adr.Max.X); dx++ {
dxf := float64(dr.Min.X+int(dx)) + 0.5
sx0 := int(d2s[0]*dxf+d2s[1]*dyf+d2s[2]) + bias.X
sy0 := int(d2s[3]*dxf+d2s[4]*dyf+d2s[5]) + bias.Y
if !(image.Point{sx0, sy0}).In(sr) {
continue
}
dst.Set(dr.Min.X+int(dx), dr.Min.Y+int(dy), dstColor)
}
}
}
}
}
func opaque(m image.Image) bool {
o, ok := m.(interface {
Opaque() bool
})
return ok && o.Opaque()
}

731
vendor/golang.org/x/image/draw/scale_test.go generated vendored Normal file
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@ -0,0 +1,731 @@
// 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"
"golang.org/x/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} {
// TODO: replace "rectImage(rect)" with "rect" once Go 1.5 is
// released, where an image.Rectangle implements image.Image.
dstMask := image.Image(rectImage(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)
}
}
}
}
}
}
}
// TODO: delete this wrapper type once Go 1.5 is released, where an
// image.Rectangle implements image.Image.
type rectImage image.Rectangle
func (r rectImage) ColorModel() color.Model { return color.Alpha16Model }
func (r rectImage) Bounds() image.Rectangle { return image.Rectangle(r) }
func (r rectImage) At(x, y int) color.Color {
if (image.Point{x, y}).In(image.Rectangle(r)) {
return color.Opaque
}
return color.Transparent
}
// 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) }

96
vendor/golang.org/x/image/draw/stdlib_test.go generated vendored Normal file
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// 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.
// +build go1.5
package draw
// This file contains tests that depend on the exact behavior of the
// image/color package in the standard library. The color conversion formula
// from YCbCr to RGBA changed between Go 1.4 and Go 1.5, so this file's tests
// are only enabled for Go 1.5 and above.
import (
"bytes"
"image"
"image/color"
"testing"
)
// 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,
srcUnif,
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,
}
ops := []Op{
Over,
Src,
}
blue := image.NewUniform(color.RGBA{0x11, 0x22, 0x44, 0x7f})
for _, dr := range drs {
for _, src := range srcs {
for _, sr := range srs {
for _, transform := range []bool{false, true} {
for _, q := range qs {
for _, op := range ops {
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)
if transform {
m := transformMatrix(3.75, 2, 1)
q.Transform(dst0, m, src, sr, op, nil)
q.Transform(dstWrapper{dst1}, m, srcWrapper{src}, sr, op, nil)
} else {
q.Scale(dst0, dr, src, sr, op, nil)
q.Scale(dstWrapper{dst1}, dr, srcWrapper{src}, sr, op, nil)
}
if !bytes.Equal(dst0.Pix, dst1.Pix) {
t.Errorf("pix differ for dr=%v, src=%T, sr=%v, transform=%t, q=%T",
dr, src, sr, transform, q)
}
}
}
}
}
}
}
}

37
vendor/golang.org/x/image/math/f64/f64.go generated vendored Normal file
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// 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 f64 implements float64 vector and matrix types.
package f64 // import "golang.org/x/image/math/f64"
// Vec2 is a 2-element vector.
type Vec2 [2]float64
// Vec3 is a 3-element vector.
type Vec3 [3]float64
// Vec4 is a 4-element vector.
type Vec4 [4]float64
// Mat3 is a 3x3 matrix in row major order.
//
// m[3*r + c] is the element in the r'th row and c'th column.
type Mat3 [9]float64
// Mat4 is a 4x4 matrix in row major order.
//
// m[4*r + c] is the element in the r'th row and c'th column.
type Mat4 [16]float64
// Aff3 is a 3x3 affine transformation matrix in row major order, where the
// bottom row is implicitly [0 0 1].
//
// m[3*r + c] is the element in the r'th row and c'th column.
type Aff3 [6]float64
// Aff4 is a 4x4 affine transformation matrix in row major order, where the
// bottom row is implicitly [0 0 0 1].
//
// m[4*r + c] is the element in the r'th row and c'th column.
type Aff4 [12]float64