func doPxl(img image.Image, size utils.Dimension, triangle Triangle, style Style, aliased bool) image.Image {
nCPU := runtime.NumCPU()
runtime.GOMAXPROCS(nCPU)
var o draw.Image
b := img.Bounds()
c := make(chan int, nCPU)
i := 0 // number of workers created. there may be a better way...
switch style {
case CROPPED:
cols := b.Dx() / size.W
rows := b.Dy() / size.H
o = image.NewRGBA(image.Rect(0, 0, size.W*cols, size.H*rows))
for j, r := range utils.ChopRectangleToSizes(b, size.H, size.W, utils.IGNORE) {
go pxlWorker(img, r, o, size, triangle, aliased, c)
i = j
}
case FITTED:
o = image.NewRGBA(img.Bounds())
for j, r := range utils.ChopRectangleToSizes(img.Bounds(), size.H, size.W, utils.SEPARATE) {
go pxlWorker(img, r, o, size, triangle, aliased, c)
i = j
}
}
for j := 0; j < i; j++ {
<-c
}
return o
}
// Pixelate takes an Image and pixelates it into rectangles with the dimensions
// given. The colour values in each region are averaged to produce the resulting
// colours.
func Pixelate(img image.Image, size utils.Dimension, style Style) image.Image {
nCPU := runtime.NumCPU()
runtime.GOMAXPROCS(nCPU)
var o draw.Image
b := img.Bounds()
c := make(chan int, nCPU)
i := 0 // like pxl. this may not be the best way
switch style {
case CROPPED:
cols := b.Dx() / size.W
rows := b.Dy() / size.H
o = image.NewRGBA(image.Rect(0, 0, size.W*cols, size.H*rows))
for j, r := range utils.ChopRectangleToSizes(b, size.H, size.W, utils.IGNORE) {
go paintAverage(img, r, o, c)
i = j
}
case FITTED:
o = image.NewRGBA(b)
for j, r := range utils.ChopRectangleToSizes(b, size.H, size.W, utils.SEPARATE) {
go paintAverage(img, r, o, c)
i = j
}
}
for j := 0; j < i; j++ {
<-c
}
return o
}
