added typings

Author: justadudewhohacks

.gitattributes

@@ -1 +1,3 @@
-*.sh* text eol=lf
+*.sh* text eol=lf
+*.d.ts linguist-vendored=false
+/examples/* linguist-documentation=false

.gitignore

@@ -9,4 +9,5 @@ coverage
 coverage-report
 tmpdata
 data/dnn
-.idea/
+.idea/
+dist

.npmignore

@@ -14,4 +14,5 @@ coverage
 coverage-report
 tmpdata
 ci
-.dockerignore
+.dockerignore
+dist

examples/package.json

@@ -2,7 +2,7 @@
   "name": "opencv4nodejs_examples",
   "version": "1.1.0",
   "author": "justadudewhohacks",
-  "license": "ISC",
+  "license": "MIT",
   "dependencies": {},
   "devDependencies": {
     "eslint": "^3.18.0",

examples/typed/faceRecognition0.ts

@@ -0,0 +1,70 @@
+import * as fs from 'fs';
+import * as path from 'path';
+import * as cv from '../../';
+
+if (!cv.xmodules.face) {
+  throw new Error('exiting: opencv4nodejs compiled without face module');
+}
+
+const basePath = '../data/face-recognition';
+const imgsPath = path.resolve(basePath, 'imgs');
+const nameMappings = ['daryl', 'rick', 'negan'];
+
+const imgFiles = fs.readdirSync(imgsPath);
+
+const classifier = new cv.CascadeClassifier(cv.HAAR_FRONTALFACE_ALT2);
+const getFaceImage = (grayImg) => {
+  const faceRects = classifier.detectMultiScale(grayImg).objects;
+  if (!faceRects.length) {
+    throw new Error('failed to detect faces');
+  }
+  return grayImg.getRegion(faceRects[0]);
+};
+
+const images = imgFiles
+  // get absolute file path
+  .map(file => path.resolve(imgsPath, file))
+  // read image
+  .map(filePath => cv.imread(filePath))
+  // face recognizer works with gray scale images
+  .map(img => img.bgrToGray())
+  // detect and extract face
+  .map(getFaceImage)
+  // face images must be equally sized
+  .map(faceImg => faceImg.resize(80, 80));
+
+const isImageFour = (_, i) => imgFiles[i].includes('4');
+const isNotImageFour = (_, i) => !isImageFour(_, i);
+// use images 1 - 3 for training
+const trainImages = images.filter(isNotImageFour);
+// use images 4 for testing
+const testImages = images.filter(isImageFour);
+// make labels
+const labels = imgFiles
+  .filter(isNotImageFour)
+  .map(file => nameMappings.findIndex(name => file.includes(name)));
+
+const runPrediction = (recognizer) => {
+  testImages.forEach((img) => {
+    const result = recognizer.predict(img);
+    console.log('predicted: %s, confidence: %s', nameMappings[result.label], result.confidence);
+    cv.imshowWait('face', img);
+    cv.destroyAllWindows();
+  });
+};
+
+const eigen = new cv.EigenFaceRecognizer();
+const fisher = new cv.FisherFaceRecognizer();
+const lbph = new cv.LBPHFaceRecognizer();
+eigen.train(trainImages, labels);
+fisher.train(trainImages, labels);
+lbph.train(trainImages, labels);
+
+console.log('eigen:');
+runPrediction(eigen);
+
+console.log('fisher:');
+runPrediction(fisher);
+
+console.log('lbph:');
+runPrediction(lbph);