func analyzeFile(filename string, resize bool) (*Cover, error) {
file, err := os.Open(filename)
if err != nil {
return nil, err
}
defer file.Close()
img, _, err := image.Decode(file)
if err != nil {
return nil, err
}
if resize {
start := time.Now()
g := gift.New(gift.Resize(500, 0, gift.LanczosResampling))
dst := image.NewRGBA(g.Bounds(img.Bounds()))
g.Draw(dst, img)
img = dst
fmt.Printf("- RESIZE %s took %s\n", path.Base(filename), time.Since(start))
}
start := time.Now()
bg, c1, c2, c3 := colorart.Analyze(img)
fmt.Printf("- ANALYZE %s took %s\n", path.Base(filename), time.Since(start))
return &Cover{filename, bg.String(), c1.String(), c2.String(), c3.String()}, nil
}
// Render draws rune r front the specified font at the specified dpi and scale. It returns a
// grayscale image that is just large enough to contain the rune.
func Render(font *truetype.Font, r rune, dpi, scale float64) (*image.Gray, error) {
glyph := truetype.NewGlyphBuf()
index := font.Index(r)
glyph.Load(font, font.FUnitsPerEm(), index, truetype.FullHinting)
ctx := freetype.NewContext()
boxer := makeBoundingBoxer()
ctx.SetSrc(image.NewUniform(color.White))
ctx.SetDst(boxer)
ctx.SetClip(boxer.largeBounds)
ctx.SetFontSize(250)
ctx.SetDPI(dpi)
ctx.SetFont(font)
if err := glyph.Load(font, font.FUnitsPerEm(), font.Index(r), truetype.FullHinting); err != nil {
return nil, fmt.Errorf("Unable to load glyph: %v\n", err)
}
var rp raster.Point
rp.X = ctx.PointToFix32(0)
rp.Y = ctx.PointToFix32(100)
ctx.DrawString(string(r), rp)
boxer.complete()
g := gift.New(
gift.Resize(int(float64(boxer.Bounds().Dx())*scale+0.5), int(float64(boxer.Bounds().Dy())*scale+0.5), gift.CubicResampling),
)
dst := image.NewGray(g.Bounds(boxer.Bounds()))
g.Draw(dst, boxer)
return dst, nil
}
// TODO Too min images should not resized
func resizeImage(src image.Image, n int) image.Image {
srcBounds := src.Bounds()
gi := gift.New(gift.Resize(srcBounds.Max.Y/n, srcBounds.Max.Y/n, gift.LanczosResampling))
dst := image.NewRGBA(gi.Bounds(srcBounds))
gi.Draw(dst, src)
return dst
}
func newResizeFuncGift(resampling gift.Resampling) resizeFunc {
return func(im image.Image) image.Image {
g := gift.New(gift.Resize(width, height, resampling))
newIm := newImageFunc(g.Bounds(im.Bounds()))
g.Draw(newIm, im)
return newIm
}
}
// loadimage loads all the images of the deck into a map for later display
func loadimage(d deck.Deck, m map[string]image.Image) {
firstrun++
w, h := d.Canvas.Width, d.Canvas.Height
cw := openvg.VGfloat(w)
ch := openvg.VGfloat(h)
msize := int(cw * .01)
mx := cw / 2
my := ch * 0.05
mbg := "white"
mfg := "black"
for ns, s := range d.Slide {
for ni, i := range s.Image {
if !modfile(i.Name, StartTime) {
continue
}
openvg.Start(w, h)
if i.Link != "" {
fmt.Fprintf(os.Stderr, "Found altimg %s\n", i.Link)
}
f, err := os.Open(i.Name)
if err != nil {
fmt.Fprintf(os.Stderr, "%v\n", err)
continue
}
img, _, err := image.Decode(f)
if err != nil {
fmt.Fprintf(os.Stderr, "%v\n", err)
continue
}
openvg.FillColor(mbg)
openvg.Rect(0, 0, cw, ch)
openvg.FillColor(mfg)
openvg.TextMid(mx, my, fmt.Sprintf("Loading image %s %d from slide %d", i.Name, ni, ns), "sans", msize)
bounds := img.Bounds()
iw := i.Width
ih := i.Height
if i.Scale > 0 {
iw = int(float64(iw) * (i.Scale / 100))
ih = int(float64(ih) * (i.Scale / 100))
}
// if the specified dimensions are native use those, otherwise resize
if iw == (bounds.Max.X-bounds.Min.X) && ih == (bounds.Max.Y-bounds.Min.Y) {
m[i.Name] = img
} else {
g := gift.New(gift.Resize(iw, ih, gift.BoxResampling))
resized := image.NewRGBA(g.Bounds(img.Bounds()))
g.Draw(resized, img)
m[i.Name] = resized
}
f.Close()
openvg.End()
}
}
}
// nytheadlines retrieves data from the New York Times API, decodes and displays it.
func (d *display) nytheadlines(section string, thumb bool) {
hdim := dimen{x: 0, y: 0, width: d.width, height: d.height / 2}
r, err := netread(fmt.Sprintf(NYTfmt, section, NYTAPIkey))
if err != nil {
fmt.Fprintf(os.Stderr, "headline read error: %v\n", err)
hdim.gerror(d.bgcolor, d.textcolor, "no headlines")
return
}
defer r.Close()
var data NYTHeadlines
err = json.NewDecoder(r).Decode(&data)
if err != nil {
fmt.Fprintf(os.Stderr, "decode: %v\n", err)
hdim.gerror(d.bgcolor, d.textcolor, "no headlines")
return
}
x := d.width * 0.10
y := d.height * 0.10
thumbsize := int(d.height * 0.05)
hdim.regionFill(d.bgcolor, d.textcolor)
headsize := d.width / 80
spacing := openvg.VGfloat(thumbsize)
for i := len(data.Results) - 1; i >= 0; i-- {
openvg.Text(x, y, fromHTML.Replace(data.Results[i].Title), "serif", int(headsize))
if len(data.Results[i].Thumbnail) > 0 {
img, imerr := netimage(data.Results[i].Thumbnail)
if imerr != nil {
continue
}
g := gift.New()
g.Add(gift.Resize(0, thumbsize, gift.LanczosResampling))
gift.Resize(thumbsize, thumbsize, gift.BoxResampling)
resized := image.NewRGBA(g.Bounds(img.Bounds()))
g.Draw(resized, img)
openvg.Img(x-100, y-(spacing*0.25), resized)
}
y = y + spacing
}
openvg.Image(d.width*0.05, 15, 30, 30, "poweredby_nytimes_30a.png")
openvg.End()
}
func (this *AvatarController) Post() {
w := this.ResponseWriter
r := this.Request
data := e.Data{Status: 1, Msg: "上传成功"}
log.Println("头像上传post")
r.ParseMultipartForm(32 << 20)
log.Println("表单解析")
file, handler, err := r.FormFile("realPicFile")
if err != nil {
log.Println("上传错误")
return
}
fileext := filepath.Ext(handler.Filename)
log.Println("文件后缀名字" + fileext)
if u.Check(fileext) == false {
data.Status = 0
data.Msg = "不允许的上传类型"
u.OutputJson(w, &data)
return
}
cookie := u.Cookie{HTTP: this.HTTP}
filename := cookie.GetCookie().UserId.Value + ".png"
log.Println("文件名称" + filename)
imgfile, _ := os.OpenFile(Upload_Dir+filename, os.O_CREATE|os.O_WRONLY, 0660)
defer imgfile.Close()
//把图片变成400X400尺寸的
m1, err := jpeg.Decode(file)
if err != nil {
panic(err)
}
bounds := m1.Bounds()
//如果第二参数为0则保持横纵比
g := gift.New(
gift.Resize(400, 400, gift.LanczosResampling),
)
dst := image.NewRGBA(g.Bounds(bounds))
g.Draw(dst, m1)
err = png.Encode(imgfile, dst)
if err != nil {
log.Println("上传失败")
return
}
filedir := Show_Dir + filename
data.Data = filedir
log.Println(data)
u.OutputJson(w, &data)
}
func resizeImage(img image.Image, size image.Point) image.Image {
g := gift.New(gift.Resize(size.X, size.Y, gift.LanczosResampling))
rect := image.Rectangle{Max: size}
switch img.(type) {
case *image.Gray:
dst := image.NewGray(rect)
g.Draw(dst, img)
return dst
default:
dst := image.NewRGBA(rect)
g.Draw(dst, img)
return dst
}
}
func (prc *ResizeProcessor) getFilter(width, height int, params imageserver.Params) (gift.Filter, error) {
rsp, err := prc.getResampling(params)
if err != nil {
return nil, err
}
if !params.Has("mode") || width == 0 || height == 0 {
return gift.Resize(width, height, rsp), nil
}
mode, err := params.GetString("mode")
if err != nil {
return nil, err
}
switch mode {
case "fit":
return gift.ResizeToFit(width, height, rsp), nil
case "fill":
return gift.ResizeToFill(width, height, rsp, gift.CenterAnchor), nil
}
return nil, &imageserver.ParamError{Param: "mode", Message: "invalid value"}
}
func (this *AvatarController) Cut() {
r := this.Request
data := e.Data{Status: 1, Msg: "上传成功"}
r.ParseForm()
x, err := strconv.Atoi(r.FormValue("x"))
y, err := strconv.Atoi(r.FormValue("y"))
x2, err := strconv.Atoi(r.FormValue("x2"))
y2, err := strconv.Atoi(r.FormValue("y2"))
fileName := r.FormValue("fileName")
log.Println(x, y, x2, y2, fileName)
g := gift.New(
gift.Crop(image.Rect(x, y, x2, y2)),
gift.Resize(220, 220, gift.LanczosResampling),
)
log.Println("图片名称" + fileName)
//打开待处理的图片
file, err := os.Open(fileName)
if err != nil {
panic(err)
}
defer file.Close()
m1, err := png.Decode(file)
if err != nil {
panic(err)
}
bounds := m1.Bounds()
dst := image.NewRGBA(g.Bounds(bounds))
g.Draw(dst, m1)
cookie := u.Cookie{HTTP: this.HTTP}
filename := cookie.GetCookie().UserId.Value + ".png"
imgfile, err := os.Create(Avatar_ReDir + filename)
os.Remove(Upload_Dir + filename)
defer imgfile.Close()
err = png.Encode(imgfile, dst)
u.OutputJson(this.ResponseWriter, &data)
}
func doit(fn string) (string, error) {
file, err := os.Open(fn)
if err != nil {
return "", err
}
defer file.Close()
img, _, err := image.Decode(file)
if err != nil {
return "", err
}
b := img.Bounds()
var g *gift.GIFT
if b.Max.X-b.Min.X >= resizeThreshold || b.Max.Y-b.Min.Y >= resizeThreshold {
g = gift.New(
gift.Resize(resizeSize, resizeSize, gift.LanczosResampling),
gift.GaussianBlur(sigma))
} else {
g = gift.New(gift.GaussianBlur(sigma))
}
dst := image.NewRGBA(g.Bounds(img.Bounds()))
g.Draw(dst, img)
img = dst
fn = path.Base(fn)
ext := path.Ext(fn)
fn = fmt.Sprintf("./%s.blur%s", fn[:len(fn)-len(ext)], ext)
w, _ := os.Create(fn)
defer w.Close()
if err = jpeg.Encode(w, dst, nil); err != nil {
return "", err
}
return fn, nil
}
func analyzeFile(filename string) (bg, c1, c2, c3 colorart.Color) {
file, err := os.Open(filename)
defer file.Close()
if err != nil {
log.Fatal(err)
}
img, _, err := image.Decode(file)
if err != nil {
log.Fatal(err)
}
b := img.Bounds()
if b.Max.X-b.Min.X > resizeThreshold || b.Max.Y-b.Min.Y > resizeThreshold {
g := gift.New(gift.Resize(resizeSize, 0, gift.LanczosResampling))
dst := image.NewRGBA(image.Rect(0, 0, resizeSize, resizeSize))
g.Draw(dst, img)
img = dst
}
return colorart.Analyze(img)
}
// GreyscaleDctMatrix Computes the Dct of a greyscale image using matrixes
func GreyscaleDctMatrix(im image.Image) uint64 {
greyFilter := gift.Grayscale()
convFilter := gift.Convolution([]float32{
1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1,
}, true, false, false, 0)
resizeFilter := gift.Resize(32, 32, gift.LinearResampling)
g := gift.New(greyFilter, convFilter, resizeFilter)
dst := image.NewRGBA(g.Bounds(im.Bounds()))
g.Draw(dst, im)
/*
out, _ := os.Create("/Users/danielriley/desktop/output.jpg")
var opt jpeg.Options
opt.Quality = 80
_ = jpeg.Encode(out, dst, &opt) // put quality to 80%
out1, _ := os.Create("/Users/danielriley/desktop/output1.jpg")
opt.Quality = 80
_ = jpeg.Encode(out1, im, &opt) // put quality to 80%
return 0
*/
//width := im.Bounds().Max.X
//height := im.Bounds().Max.Y
m := make([][]float64, 32)
for i := 0; i < 32; i++ {
m[i] = make([]float64, 32)
for j := 0; j < 32; j++ {
_, _, b, _ := dst.At(i, j).RGBA()
m[i][j] = float64(b)
}
}
/*
out, _ := os.Create("/Users/danielriley/desktop/output.jpg")
var opt jpeg.Options
opt.Quality = 80
_ = jpeg.Encode(out, dst, &opt) // put quality to 80%
out1, _ := os.Create("/Users/danielriley/desktop/output1.jpg")
opt.Quality = 80
_ = jpeg.Encode(out1, im, &opt) // put quality to 80%
*/
imMatrix := FloatMatrix(m)
dctMatrix := NewDCTMatrix(32)
// We can safely ignore errors here, since the sizes
// always match.
dct, _ := dctMatrix.Multiply(imMatrix)
dct, _ = dct.Multiply(dctMatrix.Transposed())
sub, _ := dct.SubMatrix(1, 1, 8, 8)
values := sub.UnrollX()
// We need the original values, so we must sort a copy
cpy := make([]float64, len(values))
copy(cpy, values)
sort.Float64s(cpy)
median := (cpy[64/2-1] + cpy[64/2]) / 2
fmt.Println("got median ", median)
bit := uint64(1)
hash := uint64(0)
for _, v := range values {
if v > median {
hash |= bit
}
bit <<= 1
}
fmt.Println("calculated hash ", hash)
return hash
/*
imgMtx, err := manipulator.GrayImageToMatrix(img)
if err != nil {
panic(err)
}
dctMtx, err := createDctMatrix(img.Bounds().Max.X, img.Bounds().Max.Y)
if err != nil {
panic(err)
}
dctMtxTransp := dctMtx.T() // Transpose
dctMtx.Mul(dctMtx, imgMtx)
dctMtx.Mul(dctMtx, dctMtxTransp)
dctImage, err := manipulator.CropMatrix(dctMtx, 0, 0, 7, 7)
if err != nil {
panic(err)
}
subsec := dctImage.RawMatrix().Data
median := median(subsec)
var one, hash uint64 = 1, 0
for i := 0; i < len(subsec); i++ {
current := subsec[i]
if current > median {
hash |= one
}
one = one << 1
}
return hash
*/
}
func (processor *Processor) Execute(src *Image, dst io.Writer, query *Query) {
processor.gift.Empty()
quality := 100
if query.Count() > 0 {
// resize
if query.Has("w") || query.Has("h") {
width := query.GetInt("w")
height := query.GetInt("h")
if width > 0 || height > 0 {
processor.gift.Add(gift.Resize(width, height, gift.LanczosResampling))
}
}
// crop
if query.Has("c") {
c := query.GetIntArray("c")
if len(c) == 4 {
processor.gift.Add(gift.Crop(image.Rect(c[0], c[1], c[2], c[3])))
}
}
// grayscale
if query.Has("grayscale") {
processor.gift.Add(gift.Grayscale())
}
// sepia
if query.Has("sepia") {
sepia := query.GetInt("sepia")
if sepia <= 100 {
processor.gift.Add(gift.Sepia(float32(sepia)))
}
}
// contrast
if query.Has("contrast") {
contrast := query.GetInt("contrast")
processor.gift.Add(gift.Contrast(float32(contrast)))
}
// brightness
if query.Has("brightness") {
brightness := query.GetInt("brightness")
processor.gift.Add(gift.Brightness(float32(brightness)))
}
// saturation
if query.Has("saturation") {
saturation := query.GetInt("saturation")
processor.gift.Add(gift.Saturation(float32(saturation)))
}
// colorize
if query.Has("colorize") {
colorize := query.GetIntArray("colorize")
if len(colorize) == 3 {
processor.gift.Add(gift.Colorize(float32(colorize[0]), float32(colorize[1]), float32(colorize[2])))
}
}
// colorbalance
if query.Has("colorbalance") {
colorbalance := query.GetIntArray("colorbalance")
if len(colorbalance) == 3 {
processor.gift.Add(gift.ColorBalance(float32(colorbalance[0]), float32(colorbalance[1]), float32(colorbalance[2])))
}
}
// quality
if query.Has("q") {
q := query.GetInt("q")
if q > 0 && q < 100 {
quality = q
}
}
// Draw
if len(processor.gift.Filters) > 0 {
rgba := image.NewRGBA(processor.gift.Bounds(src.Object.Bounds()))
processor.gift.Draw(rgba, src.Object)
jpeg.Encode(dst, rgba, &jpeg.Options{Quality: quality})
return
}
}
// default
jpeg.Encode(dst, src.Object, &jpeg.Options{Quality: quality})
}
func (i ImageFile) Render(w io.Writer, x, y int, align string) error {
// Open file
file, err := os.Open(i.Path)
if err != nil {
return err
}
defer file.Close()
img, format, err := image.Decode(file)
if err != nil {
return err
}
size := img.Bounds().Size()
// Default to current size if x and y are 0
if x == 0 && y == 0 {
x = size.X
y = size.Y
}
// Calculate same aspect ratio y
if y == 0 {
g := gift.New(gift.Resize(x, 0, gift.LanczosResampling))
y = g.Bounds(img.Bounds()).Size().Y
}
// Calculate same aspect ratio x
if x == 0 {
g := gift.New(gift.Resize(0, y, gift.LanczosResampling))
x = g.Bounds(img.Bounds()).Size().X
}
// Resize image keeping aspect ration, filling space we have
g := gift.New()
if size.X > size.Y {
// image is wider than it's high, resize width after
g.Add(gift.Resize(0, y, gift.LanczosResampling))
g.Add(gift.Resize(x, 0, gift.LanczosResampling))
} else {
g.Add(gift.Resize(x, 0, gift.LanczosResampling))
g.Add(gift.Resize(0, y, gift.LanczosResampling))
}
// Compute resized image keeping aspect ratio
dst := image.NewRGBA(g.Bounds(img.Bounds()))
g.Draw(dst, img)
// Calculate starting point in destination image
var spx, spy int
if align[0] == 'c' {
spy = (y - dst.Bounds().Size().Y) / 2
} else if align[0] == 'b' {
spy = y - dst.Bounds().Size().Y
}
if align[1] == 'c' {
spx = (x - dst.Bounds().Size().X) / 2
} else if align[1] == 'r' {
spx = x - dst.Bounds().Size().X
}
startingPoint := image.Pt(spx, spy)
// Compute resized image in right canvas
finalDst := image.NewRGBA(image.Rect(0, 0, x, y))
sr := dst.Bounds()
finalDstRect := sr.Add(startingPoint)
draw.Draw(finalDst, finalDstRect, dst, sr.Min, draw.Src)
if format == "jpg" || format == "jpeg" {
err = jpeg.Encode(w, finalDst, &jpeg.Options{
Quality: 90,
})
} else if format == "png" {
err = png.Encode(w, finalDst)
} else {
return errors.New("Unrecognized format: " + format)
}
return err
}
func ResizeFilter(width int, height int) *gift.GIFT {
g := gift.New(gift.Resize(width, height, gift.LanczosResampling))
return g
}
