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anAlgorithm.go
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/
anAlgorithm.go
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// An Algorithm for Nudity Detection
// by Rigan Ap-apid
// http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.96.9872&rep=rep1&type=pdf
package main
import (
"fmt"
"image"
"image/color"
"image/draw"
"sort"
"gocv.io/x/gocv"
)
const (
skinCbMin = 80
skinCbMax = 120
skinCrMin = 133
skinCrMax = 173
)
type anAlgorithm struct {
img image.Image
height int
width int
skinMap image.Image
backgroundPixelCount int
skinPixelCount int
regions []anAlgorithmRegion
regionsContours [][]image.Point
boundsPoly anAlgorithmBoundsPolygon
debug bool
}
type anAlgorithmRegion struct {
area float64
contour []image.Point
}
type anAlgorithmBoundsPolygon struct {
area float64
contour []image.Point
hue float64
skinPixels []color.Color
skinPixelCount int
avgSkinsIntensity float64
image image.Image
height int
width int
}
// find skins on image and create mask with white/black regions
// do manually, becouse have some trouble with gocv.InRange https://github.com/hybridgroup/gocv/issues/159
func (a *anAlgorithm) maskSkinAndCountSkinPixels() {
upLeft := image.Point{0, 0}
lowRight := image.Point{a.width, a.height}
a.skinMap = image.NewRGBA(image.Rectangle{upLeft, lowRight})
black := color.RGBA{0, 0, 0, 0xff}
white := color.RGBA{255, 255, 255, 0xff}
a.backgroundPixelCount = 0
a.skinPixelCount = 0
var drawPixCol color.RGBA
for x := 0; x < a.width; x++ {
for y := 0; y < a.height; y++ {
pixCol := a.img.At(x, y)
drawPixCol = white
if a.yCbCrSkinDetector(pixCol) == true {
a.skinPixelCount++
drawPixCol = black
} else {
a.backgroundPixelCount++
}
a.skinMap.(draw.Image).Set(x, y, drawPixCol)
}
}
// out, _ := os.Create("uploads/0.maskSkinAndCountSkinPixels.jpg")
// jpeg.Encode(out, a.skinMap, nil)
}
func (a *anAlgorithm) findRegions() {
img, _ := imageToRGB8Mat(a.skinMap)
mask := gocv.NewMat()
gocv.InRangeWithScalar(img, gocv.NewScalar(0.0, 0.0, 0.0, 0.0), gocv.NewScalar(1.0, 1.0, 1.0, 0.0), &mask)
contours := gocv.FindContours(mask, gocv.RetrievalList, gocv.ChainApproxNone)
a.regionsContours = contours
for i := range contours {
a.regions = append(a.regions, anAlgorithmRegion{
area: gocv.ContourArea(contours[i]),
contour: contours[i],
})
}
sort.Slice(a.regions, func(i, j int) bool {
return a.regions[i].area > a.regions[j].area
})
// if we havent 2rd region
if len(a.regions) == 1 {
a.regions = append(a.regions, a.regions[0])
}
// if we havent 3rd region
if len(a.regions) == 2 {
a.regions = append(a.regions, a.regions[1])
}
}
// Identify the leftmost, the uppermost, the rightmost,
// and the lowermost skin pixels of the three largest
// skin regions. Use these points as the corner points
func (a *anAlgorithm) findBoundsPolyCorners() {
leftmost := a.width
uppermost := a.height
rightmost := 0
lowermost := 0
for i, region := range a.regions {
if i > 2 {
break
}
// find corners
for _, p := range region.contour {
if p.X < leftmost {
leftmost = p.X
}
if p.X > rightmost {
rightmost = p.X
}
if p.Y < uppermost {
uppermost = p.Y
}
if p.Y > lowermost {
lowermost = p.Y
}
}
}
width := rightmost - leftmost
height := lowermost - uppermost
a.boundsPoly = anAlgorithmBoundsPolygon{
area: float64(width * height),
contour: []image.Point{
{X: leftmost, Y: uppermost},
{X: rightmost, Y: lowermost},
},
skinPixelCount: 0,
}
upLeft := image.Point{0, 0}
lowRight := image.Point{width, height}
a.boundsPoly.image = image.NewRGBA(image.Rectangle{upLeft, lowRight})
}
// create poly from images, cacl pixel count
// and save pixels fro find avg in we need it
func (a *anAlgorithm) createBoundsPolyAndCalcSkins() {
xBig := 0
yBig := 0
for x := a.boundsPoly.contour[0].X; x < a.boundsPoly.contour[1].X; x++ {
for y := a.boundsPoly.contour[0].Y; y < a.boundsPoly.contour[1].Y; y++ {
pixCol := a.img.At(x, y)
if a.yCbCrSkinDetector(pixCol) == true {
a.boundsPoly.skinPixelCount++
a.boundsPoly.skinPixels = append(a.boundsPoly.skinPixels, pixCol)
}
a.boundsPoly.image.(draw.Image).Set(xBig, yBig, pixCol)
yBig++
}
yBig = 0
xBig++
}
// out, _ := os.Create("uploads/5.createBoundsPolyAndCalcSkins.jpg")
// jpeg.Encode(out, a.boundsPoly.image, nil)
}
// detect is skin
func (a *anAlgorithm) yCbCrSkinDetector(pixCol color.Color) bool {
_, cb, cr := rgbaToYCbCr(pixCol)
return cb >= skinCbMin && cb <= skinCbMax && cr >= skinCrMin && cr <= skinCrMax
}
// find avg intensity in boundsPoly skins region
func (a *anAlgorithm) findAverageSkinsIntensityInBoundsPoly() {
a.boundsPoly.avgSkinsIntensity = 0
skinsLen := len(a.boundsPoly.skinPixels)
if skinsLen == 0 {
return
}
var (
cbSum int
crSum int
)
for i := 0; i < skinsLen; i++ {
_, cb, cr := rgbaToYCbCr(a.boundsPoly.skinPixels[i])
cbSum += cb
crSum += cr
}
avgColorVal := float64((cbSum + crSum) / skinsLen)
if avgColorVal == 0 {
return
}
a.boundsPoly.avgSkinsIntensity = float64(skinCbMax-skinCbMin+skinCrMax-skinCrMin) / avgColorVal
}
// return is nude image or not
func (a *anAlgorithm) IsNude() (bool, error) {
a.width = a.img.Bounds().Max.X
a.height = a.img.Bounds().Max.Y
a.maskSkinAndCountSkinPixels()
totalPixelCount := a.skinPixelCount + a.backgroundPixelCount
totalSkinPortion := float32(a.skinPixelCount) / float32(totalPixelCount)
if totalPixelCount == 0 {
if a.debug {
fmt.Println("No pixels found")
}
return false, nil
}
// Criteria (a)
if a.debug {
fmt.Println("a: totalSkinPortion=", totalSkinPortion, " < 0.15")
}
if totalSkinPortion < 0.15 {
return false, nil
}
a.findRegions()
largestRegionPortion := 0.0
nextRegionPortion := 0.0
thirdRegionPortion := 0.0
if len(a.regions) > 0 {
largestRegionPortion = a.regions[0].area / float64(a.skinPixelCount)
nextRegionPortion = a.regions[1].area / float64(a.skinPixelCount)
thirdRegionPortion = a.regions[2].area / float64(a.skinPixelCount)
}
// Criteria (b)
if a.debug {
fmt.Println("b: largestRegionPortion=", largestRegionPortion, " < 0.35 && nextRegionPortion=", nextRegionPortion, " < 0.30 && thirdRegionPortion=", thirdRegionPortion, " < 0.30")
}
if largestRegionPortion < 0.35 && nextRegionPortion < 0.30 && thirdRegionPortion < 0.30 {
return false, nil
}
// Criteria (c)
if a.debug {
fmt.Println("c: largestRegionPortion=", largestRegionPortion, " < 0.45")
}
if largestRegionPortion < 0.45 {
return false, nil
}
// Criteria (d)
a.findBoundsPolyCorners()
a.createBoundsPolyAndCalcSkins()
if a.debug {
fmt.Println("d: totalSkinPortion=", totalSkinPortion, " < 0.30")
}
if totalSkinPortion < 0.30 {
boundsPolySkinPortion := float64(a.boundsPoly.skinPixelCount) / a.boundsPoly.area
if a.debug {
fmt.Println("d: boundsPolySkinPortion=", boundsPolySkinPortion, " < 0.55")
}
if boundsPolySkinPortion < 0.55 {
return false, nil
}
}
// Criteria (e)
if a.debug {
fmt.Println("e: len(a.regions)=", len(a.regions), " > 60")
}
if len(a.regions) > 60 {
a.findAverageSkinsIntensityInBoundsPoly()
if a.debug {
fmt.Println("e: boundsPoly.avgSkinsIntensity=", a.boundsPoly.avgSkinsIntensity, " < 0.25")
}
if a.boundsPoly.avgSkinsIntensity < 0.25 {
return false, nil
}
}
return true, nil
}