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package main
import (
"bytes"
"fmt"
"image"
"os"
"path"
"github.com/animenotifier/arn"
"github.com/fatih/color"
icolor "image/color"
_ "image/gif"
_ "image/jpeg"
"image/png"
)
func main() {
defer color.Green("Finished.")
defer arn.Node.Close()
characters := arn.FilterCharacters(func(character *arn.Character) bool {
return character.HasImage()
})
for index, character := range characters {
fmt.Printf("[%d / %d] %s\n", index+1, len(characters), character)
process(character)
}
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// char, _ := arn.GetCharacter("EI3HwrmiRm")
// process(char)
}
func process(character *arn.Character) {
file, err := os.Open(path.Join(arn.Root, "images", "characters", "original", character.ID+character.Image.Extension))
if err != nil {
color.Red(err.Error())
return
}
defer file.Close()
img, format, err := image.Decode(file)
if err != nil {
color.Red(err.Error())
return
}
newImg := removeBorders(img)
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fmt.Println(img.Bounds().Dx(), "->", newImg.Bounds().Dx(), "width", format)
buffer := bytes.NewBuffer(nil)
err = png.Encode(buffer, newImg)
if err != nil {
color.Red(err.Error())
return
}
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character.SetImageBytes(buffer.Bytes())
character.Save()
}
func diffAbs(a uint32, b uint32) uint32 {
if a > b {
return a - b
}
return b - a
}
func removeBorders(img image.Image) image.Image {
const maxBorderLength = 3
width := img.Bounds().Dx()
height := img.Bounds().Dy()
borderLength := 0
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for ; borderLength <= maxBorderLength; borderLength++ {
edgeColors := []icolor.Color{}
// Top edge
for x := borderLength; x < width-borderLength*2; x++ {
c := img.At(x, borderLength)
edgeColors = append(edgeColors, c)
}
// Bottom edge
for x := borderLength; x < width-borderLength*2; x++ {
c := img.At(x, height-borderLength-1)
edgeColors = append(edgeColors, c)
}
// Left edge
for y := borderLength; y < height-borderLength*2; y++ {
c := img.At(borderLength, y)
edgeColors = append(edgeColors, c)
}
// Right edge
for y := borderLength; y < height-borderLength*2; y++ {
c := img.At(width-borderLength-1, y)
edgeColors = append(edgeColors, c)
}
// Check if all edge colors are similar.
// Find average color first.
totalR := uint64(0)
totalG := uint64(0)
totalB := uint64(0)
for _, c := range edgeColors {
r, g, b, _ := c.RGBA()
totalR += uint64(r)
totalG += uint64(g)
totalB += uint64(b)
}
averageR := uint32(totalR / uint64(len(edgeColors)))
averageG := uint32(totalG / uint64(len(edgeColors)))
averageB := uint32(totalB / uint64(len(edgeColors)))
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const tolerance = 12000
// Check if the colors are close to the average color
notSimilarCount := 0
for _, c := range edgeColors {
r, g, b, _ := c.RGBA()
if diffAbs(r, averageR) > tolerance || diffAbs(g, averageG) > tolerance || diffAbs(b, averageB) > tolerance {
notSimilarCount++
}
}
if notSimilarCount >= 5 {
break
}
}
newWidth := width - borderLength*2
newHeight := height - borderLength*2
newImg := image.NewNRGBA(image.Rect(0, 0, newWidth, newHeight))
for x := 0; x < newWidth; x++ {
for y := 0; y < newHeight; y++ {
newImg.Set(x, y, img.At(borderLength+x, borderLength+y))
}
}
return newImg
}