func LoadMasks(folder string) *MaskIndex {
scaler := cv.ScaleBinaryImage{Height: SCALE_HEIGHT}
bounder := cv.BoundBinaryImage{}
ret := NewMaskIndex()
n := 0
err := filepath.Walk(folder, func(root string, f os.FileInfo, err error) error {
if f == nil {
return err
}
if f.IsDir() {
label := f.Name()
if len(label) > 2 || label == "#" {
return nil
}
log.Println(label, root)
filepath.Walk(root, func(root2 string, f2 os.FileInfo, err2 error) error {
if f2 == nil {
return err
}
if f2.IsDir() {
return nil
}
img := LoadImage(root2)
if img != nil {
mk := Mask{}
mk.Img = scaler.Process(bounder.Process(cv.Convert2BinaryImage(img)))
mk.Label = label
ret.AddMask(&mk)
n += 1
}
return nil
})
return nil
}
return nil
})
if err != nil {
panic(err)
}
log.Println("mask count", n)
return ret
}
func (self *FastCutBasedPredictor) Guess(img *cv.BinaryImage, mki *MaskIndex, chType int) []*Result {
h := self.XHis(img)
scaler := cv.ScaleBinaryImage{Height: SCALE_HEIGHT}
bounder := cv.BoundBinaryImage{}
curX := 0
ret := NewResult("", 0.0)
failCount := 0
for {
if curX >= img.Width {
break
}
curX, _ = FindBeginPos(img, curX)
maxSim := 0.0
var bestCutImg *cv.BinaryImage
var bestLocalResults []*Result
nextX := 0
endXs := self.FindNextSplitPoints(img, curX, h)
for beginX := -2; beginX < 3; beginX++ {
for k, endX := range endXs {
if k > 20 {
break
}
width := endX - curX - beginX + 1
if width <= 3 {
continue
}
cutImg := self.CutMatrixByRect(img, curX+beginX, 0, endX, img.Height)
if cutImg == nil || cutImg.FrontSize() < 10 {
continue
}
cutImg = bounder.Process(cutImg)
if cutImg.Height < 5 {
continue
}
cutImg = scaler.Process(cutImg)
if cutImg == nil {
continue
}
localResults := mki.FindBestMatchedMasks(cutImg, chType, 1)
if localResults == nil || len(localResults) == 0 {
continue
}
if maxSim < localResults[0].Weight {
maxSim = localResults[0].Weight
bestLocalResults = localResults
nextX = endX
bestCutImg = cutImg
}
}
if maxSim > 0.8 {
break
}
}
if maxSim < 0.6 {
curX += 1
failCount += 1
continue
}
curX = nextX
ret.Label += bestLocalResults[0].Label
ret.Weight += bestLocalResults[0].Weight
ret.AddComponent(bestCutImg)
log.Println(bestLocalResults[0].Label, maxSim)
if len(ret.Label) > 16 || failCount > 10 {
return []*Result{}
}
}
return []*Result{ret}
}