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melledijkstramelledijkstra
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2 new articles (tensorflow model, duolingo extract)
1 parent 65ea553 commit a332de2

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-104
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‎.gitignore

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/.idea
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‎.idea/melledijkstra.github.io.iml

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‎Gemfile.lock

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ffi (>= 1.3.0)
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eventmachine (1.2.7)
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execjs (2.7.0)
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faraday (0.17.1)
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faraday (1.0.1)
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multipart-post (>= 1.2, < 3)
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ffi (1.11.3)
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forwardable-extended (2.6.0)
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gemoji (3.0.1)
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github-pages (203)
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github-pages (206)
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github-pages-health-check (= 1.16.1)
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jekyll (= 3.8.5)
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jekyll (= 3.8.7)
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jekyll-avatar (= 0.7.0)
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jekyll-coffeescript (= 1.1.1)
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jekyll-commonmark-ghpages (= 0.1.6)
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jekyll-default-layout (= 0.1.4)
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jekyll-feed (= 0.13.0)
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jekyll-gist (= 1.5.0)
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jekyll-github-metadata (= 2.12.1)
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jekyll-github-metadata (= 2.13.0)
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mercenary (~> 0.3)
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minima (= 2.5.1)
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rouge (= 3.19.0)
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github-pages-health-check (1.16.1)
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addressable (~> 2.3)
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html-pipeline (2.12.3)
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html-pipeline (2.13.0)
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activesupport (>= 2)
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http_parser.rb (0.6.0)
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jekyll (3.8.7)
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jekyll (>= 3.7, < 5.0)
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jekyll-gist (1.5.0)
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octokit (~> 4.2)
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jekyll-github-metadata (2.12.1)
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jekyll-github-metadata (2.13.0)
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jekyll (>= 3.4, < 5.0)
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octokit (~> 4.0, != 4.4.0)
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jekyll-mentions (1.5.1)
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jekyll-seo-tag (~> 2.1)
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minitest (5.14.1)
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multipart-post (2.1.1)
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nokogiri (1.10.8)
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nokogiri (1.10.9)
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faraday (>= 0.9)
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pathutil (0.16.2)
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public_suffix (3.1.1)
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rb-fsevent (0.10.3)
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rb-inotify (0.10.0)
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rb-fsevent (0.10.4)
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rb-inotify (0.10.1)
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ffi (~> 1.0)
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rouge (3.13.0)
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ruby-enum (0.7.2)
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rouge (3.19.0)
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ruby-enum (0.8.0)
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rubyzip (2.0.0)
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rubyzip (2.3.0)
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safe_yaml (1.0.5)
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typhoeus (1.4.0)
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unicode-display_width (1.7.0)
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PLATFORMS
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BUNDLED WITH
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2.0.2
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2.1.4

‎_data/stories.yml

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‎assets/images/story-images/image-20200501121809556.png

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‎assets/images/story-images/image-20200501123801726.png

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‎assets/images/story-images/image-20200501143013653.png

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‎assets/images/story-images/video-duolingo-extract.mp4

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‎run.sh

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#!/bin/bash
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bundle exec jekyll serve --host=0.0.0.0
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bundle exec jekyll serve # --host=0.0.0.0

‎sketches/person-no-person/index.html

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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<title>Are you a person or not?</title>
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</head>
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<body>
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<h1>Are you a person or not?</h1>
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<label for="candidate">Upload candidate</label><br />
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<input id="candidate" type="file" name="candidate">
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<p id="output">...</p>
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<img id="image" src="." alt="candidate"/>
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<script src="https://cdn.jsdelivr.net/npm/@tensorflow/[email protected]/dist/tf.min.js"></script>
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<script type="module" src="main.js"></script>
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</body>
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</html>

‎sketches/person-no-person/main.js

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(function () {
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let result = document.getElementById('output');
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// let fileInput = document.getElementById('candidate');
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// let img = document.getElementById("image");
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//
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// fileInput.onchange = makePrediction;
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async function loadModel() {
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result.innerText = 'Loading model... ⏳';
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const m = await tf.loadLayersModel('model/model.json');
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result.innerText = 'Model loaded! 😎';
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return m;
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}
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const model = loadModel();
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console.log(model);
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// function getImageData(img) {
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// let canvas = document.createElement("canvas");
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// let ctx = canvas.getContext("2d");
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// let imageData;
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// ctx.drawImage(img, 0, 0);
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// imageData = ctx.getImageData(0, 0, img.width, img.height).data;
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// console.log("image data:", imageData);
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//
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// const pixels = tf.browser.fromPixels(img);
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// //const example = tf.fromPixels(); // for example
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// const prediction = model.predict(pixels);
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//
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// console.log(prediction);
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// }
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//
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// function showImage(fileReader) {
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// img.onload = () => getImageData(img);
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// img.src = fileReader.result;
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// }
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//
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// function makePrediction(event) {
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// console.log(event);
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// if (model) {
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// let tgt = event.target || window.event.srcElement,
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// files = tgt.files;
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//
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// // FileReader support
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// if (FileReader && files && files.length) {
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// let fr = new FileReader();
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// fr.onload = () => showImage(fr);
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// fr.readAsDataURL(files[0]);
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// }
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// }
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// }
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})();
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‎sketches/person-no-person/model/group1-shard10of11.bin

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