func loop(path string, paint, crosshair bool) {
pictureFiles = GetFileNames(path)
// images := make([][]byte, len(pictureFiles))
faceDetector := gofaces.NewFaceDetector()
// for i := 0; i < len(pictureFiles); i++ {
// }
fmt.Println("Pictures: ", len(pictureFiles))
for i := 0; i < len(pictureFiles); i++ {
fmt.Println("Processing picture: ", pictureFiles[i])
img := gofaces.GetNormalizedByteVectorFromFile(pictureFiles[i])
faces := faceDetector.Detect(img)
if len(faces) > 0 {
if paint {
img = gofaces.PaintFace(img, faces[0])
}
if faces[0].Eyes() > 1 {
img = gofaces.AlignFaceInImage(img, faces[0])
}
if crosshair {
img = gofaces.Crosshair(img)
}
cropface := gofaces.CropOutFace(img, faces[0])
win := opencv.NewWindow("Face Detected")
win.ShowImage(opencv.DecodeImageMem(cropface))
opencv.WaitKey(0)
win.Destroy()
} else {
win := opencv.NewWindow("No face found")
win.ShowImage(opencv.DecodeImageMem(img))
opencv.WaitKey(0)
win.Destroy()
}
}
}
func debug(path string) {
faceDetector := gofaces.NewFaceDetector()
picture := gofaces.GetNormalizedByteVectorFromFile(path)
image := opencv.DecodeImageMem(picture)
faceAreas := faceDetector.DetectFaces(image)
faces := faceDetector.DetectFacialFeatures(image, faceAreas)
picture = gofaces.PaintFaces(picture, faces)
win := opencv.NewWindow("Debug Face Detection")
defer win.Destroy()
win.ShowImage(opencv.DecodeImageMem(picture))
opencv.WaitKey(0)
}
func one(path string, paint bool) {
faceDetector := gofaces.NewFaceDetector()
picture := gofaces.GetNormalizedByteVectorFromFile(path)
faces := faceDetector.Detect(picture)
if paint {
picture = gofaces.PaintFace(picture, faces[0])
}
picture = gofaces.AlignFaceInImage(picture, faces[0])
picture = gofaces.CropOutFace(picture, faces[0])
win := opencv.NewWindow("Face Detection")
defer win.Destroy()
win.ShowImage(opencv.DecodeImageMem(picture))
opencv.WaitKey(0)
}