move to subdir

src/officesense_vision/extractEmbeddings/extractEmbeddings.go

@@ -0,0 +1,126 @@
+package main
+
+import (
+	"bytes"
+	"encoding/base64"
+	"encoding/json"
+	"fmt"
+	"image"
+	"image/jpeg"
+	"io"
+
+	"os"
+
+	"github.com/Kagami/go-face"
+	"golang.org/x/image/draw"
+)
+
+type Result struct {
+	Success    bool            `json:"success"`
+	Descriptor face.Descriptor `json:"descriptor"`
+	Error      string          `json:"error"`
+}
+
+var res Result
+
+func atExit() {
+	resString, err := json.Marshal(res)
+	if err != nil {
+		os.Exit(1)
+	}
+
+	fmt.Println(string(resString))
+
+	os.Exit(0)
+}
+
+func resizeIfNeeded(img image.Image, max int) image.Image {
+	b := img.Bounds()
+	w := b.Dx()
+	h := b.Dy()
+
+	if w <= max && h <= max {
+		return img
+	}
+
+	var scale float64
+	if w > h {
+		scale = float64(max) / float64(w)
+	} else {
+		scale = float64(max) / float64(h)
+	}
+
+	newW := int(float64(w) * scale)
+	newH := int(float64(h) * scale)
+
+	dst := image.NewRGBA(image.Rect(0, 0, newW, newH))
+	draw.BiLinear.Scale(dst, dst.Bounds(), img, b, draw.Over, nil)
+
+	return dst
+}
+
+func main() {
+	defer atExit()
+
+	// Read input image from stdin in Base64 encoding
+	input, err := io.ReadAll(os.Stdin)
+	if err != nil {
+		res.Success = false
+		res.Error = "[STDIN]: " + err.Error()
+		return
+	}
+
+	// Decode Base64
+	image, err := base64.StdEncoding.DecodeString(string(input))
+	if err != nil {
+		res.Success = false
+		res.Error = "[BASE64]: " + err.Error()
+		return
+	}
+
+	imageJPEG, err := jpeg.Decode(bytes.NewReader(image))
+	if err != nil {
+		res.Success = false
+		res.Error = "[JPEG][DECODE]: " + err.Error()
+		return
+	}
+
+	imageJPEG = resizeIfNeeded(imageJPEG, 600)
+
+	var buf bytes.Buffer
+	err = jpeg.Encode(&buf, imageJPEG, &jpeg.Options{Quality: 90})
+	if err != nil {
+		res.Success = false
+		res.Error = "[JPEG][ENCODE]: " + err.Error()
+		return
+	}
+
+	image = buf.Bytes()
+
+	// Create recognizer - provide ./models dir
+	rec, err := face.NewRecognizer("models")
+	if err != nil {
+		res.Success = false
+		res.Error = "[DLIB][INIT]: " + err.Error()
+		return
+	}
+	defer rec.Close()
+
+	faces, err := rec.RecognizeCNN(image)
+	if err != nil {
+		res.Success = false
+		res.Error = "[DLIB][CNN]: " + err.Error()
+		return
+	} else if len(faces) == 0 {
+		res.Success = false
+		res.Error = "[DLIB][CNN]: No face found in image."
+		return
+	} else if len(faces) != 1 {
+		res.Success = false
+		res.Error = "[DLIB][CNN]: Multiple faces found in image."
+		return
+	}
+
+	res.Success = true
+	res.Descriptor = faces[0].Descriptor
+}