From cab92932ef2b26b1e8b5cb1ce516de4deebc4d4c Mon Sep 17 00:00:00 2001
From: Vladimir Mandic <mandic00@live.com>
Date: Tue, 8 Dec 2020 08:36:54 -0500
Subject: [PATCH] remove old demo

---
 example/node.js | 84 -------------------------------------------------
 1 file changed, 84 deletions(-)
 delete mode 100644 example/node.js

diff --git a/example/node.js b/example/node.js
deleted file mode 100644
index 8b7eddf..0000000
--- a/example/node.js
+++ /dev/null
@@ -1,84 +0,0 @@
-process.stderr.write = null; // silly hack to stock tfjs logging too much to stderr
-
-const fs = require('fs');
-const path = require('path');
-const tf = require('@tensorflow/tfjs-node');
-const faceapi = require('../dist/face-api.node.js');
-// if you have module installed, this would be 
-// const faceapi = require('@vladmandic/face-api');
-
-// configuration options
-const modelPathRoot = '../model/'; // path to model folder that will be loaded
-const imgSize = 512; // maximum image size in pixels
-const minScore = 0.1; // minimum score
-const maxResults = 5; // maximum number of results to return
-const samples = ['sample (1).jpg', 'sample (2).jpg', 'sample (3).jpg', 'sample (4).jpg', 'sample (5).jpg', 'sample (6).jpg']; // sample images to be loaded
-
-// helper function to pretty-print json object to string
-function str(json) {
-  const text = json ? JSON.stringify(json).replace(/{|}|"|\[|\]/g, '').replace(/,/g, ', ') : '';
-  return text;
-}
-
-// helper function to print strings to html document as a log
-function log(...txt) {
-  // eslint-disable-next-line no-console
-  console.log(...txt);
-}
-
-async function image(img) {
-  const buffer = fs.readFileSync(img);
-  const decoded = tf.node.decodeImage(buffer);
-  const casted = decoded.toFloat();
-  const result = casted.expandDims(0);
-  decoded.dispose();
-  casted.dispose();
-  return result;
-}
-
-async function main() {
-  // initialize tfjs
-  log('FaceAPI Test');
-  await faceapi.tf.setBackend('tensorflow'); //Sets the backend (cpu, webgl, wasm, tensorflow, etc) responsible for creating tensors and executing operations on those tensors.
-  await faceapi.tf.enableProdMode();
-  await faceapi.tf.ENV.set('DEBUG', false);
-  await faceapi.tf.ready(); //Returns a promise that resolves when the currently selected backend (or the highest priority one) has initialized.
-
-  // check version
-  log(`Version: TensorFlow/JS ${str(faceapi.tf?.version_core || '(not loaded)')} FaceAPI ${str(faceapi?.version || '(not loaded)')} Backend: ${str(faceapi.tf?.getBackend() || '(not loaded)')}`);
-  log(`Flags: ${JSON.stringify(faceapi.tf.ENV.flags)}`);
-
-  // load face-api models
-  log('Loading FaceAPI models');
-  const modelPath = path.join(__dirname, modelPathRoot);
-  await faceapi.nets.ssdMobilenetv1.loadFromDisk(modelPath);
-  await faceapi.nets.ageGenderNet.loadFromDisk(modelPath);
-  await faceapi.nets.faceLandmark68Net.loadFromDisk(modelPath);
-  await faceapi.nets.faceRecognitionNet.loadFromDisk(modelPath);
-  await faceapi.nets.faceExpressionNet.loadFromDisk(modelPath);
-  const optionsSSDMobileNet = new faceapi.SsdMobilenetv1Options({ minConfidence: minScore, maxResults });
-
-  // check tf engine state
-  const engine = await faceapi.tf.engine();
-  log(`TF Engine State: ${str(engine.state)}`);
-
-  const dir = fs.readdirSync(__dirname);
-  for (const img of dir) {
-    if (!img.toLocaleLowerCase().endsWith('.jpg')) continue;
-    // load image
-    const tensor = await image(path.join(__dirname, img));
-    // actual model execution
-    const result = await faceapi
-      .detectAllFaces(tensor, optionsSSDMobileNet)
-      .withFaceLandmarks()
-      .withFaceExpressions()
-      .withFaceDescriptors()
-      .withAgeAndGender();
-    log('Image:', img, 'Detected faces:', result.length);
-    // you can access entire result object
-    // console.log(result);
-    tensor.dispose();
-  }
-}
-
-main();