Facemark API example

Author: nicholasc

examples/facemark.js

@@ -0,0 +1,47 @@
+const cv = require("../");
+const fs = require("fs");
+const path = require("path");
+
+if (!cv.xmodules.face) {
+  throw new Error("exiting: opencv4nodejs compiled without face module");
+}
+
+const facemarkModelPath = "../data/face/";
+const modelFile = path.resolve(facemarkModelPath, "lbfmodel.yaml");
+
+if (!fs.existsSync(modelFile)) {
+  console.log("could not find landmarks model");
+  console.log(
+    "download the model from: https://raw.githubusercontent.com/kurnianggoro/GSOC2017/master/data/lbfmodel.yaml"
+  );
+  throw new Error("exiting: could not find landmarks model");
+}
+
+const classifier = new cv.CascadeClassifier(cv.HAAR_FRONTALFACE_ALT2);
+
+// create the facemark object with the landmarks model
+const facemark = new cv.FacemarkLBF();
+facemark.loadModel(modelFile);
+
+// give the facemark object it's face detection callback
+facemark.setFaceDetector(frame => {
+  const { objects } = classifier.detectMultiScale(frame, 1.12);
+  return objects;
+});
+
+// retrieve faces using the facemark face detector callback
+const image = cv.imread("../data/got.jpg");
+const gray = image.bgrToGray();
+const faces = facemark.getFaces(gray);
+
+// use the detected faces to detect the landmarks
+const faceLandmarks = facemark.fit(gray, faces);
+
+for (let i = 0; i < faceLandmarks.length; i++) {
+  const landmarks = faceLandmarks[i];
+  for (let x = 0; x < landmarks.length; x++) {
+    image.drawCircle(landmarks[x], 1, new cv.Vec(0, 255, 0), 1, cv.LINE_8);
+  }
+}
+
+cv.imshowWait("VideoCapture", image);