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committedJul 26, 2020
Add old-tv challenge
1 parent 13008f6 commit d809d9c

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-35
lines changed
 

‎README.md

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@@ -6,11 +6,18 @@ Explore [the complete mindmap](https://my.mindnode.com/h85zxxubxjuSewNvxwdhA3Ef3
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## Projects
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Build with
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```
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cp -r tensorflowjs-template new
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```
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915
1. [mobilenet](mobilenet/)
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1. [nsfwjs](nsfwjs/)
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1. [joker-face](joker-face/)
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1. [image-to-tensor](image-to-tensor/)
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1. [tensor-reversal](tensor-reversal/)
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1. [old-tv](old-tv/)
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## Ressources
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‎old-tv/README.md

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# Old TV Tensor Challenge
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![](./images/old-tv.gif)
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<span>Photo by <a href="https://unsplash.com/@sbk202?utm_source=unsplash&amp;utm_medium=referral&amp;utm_content=creditCopyText">Sam Balye</a> on <a href="https://unsplash.com/?utm_source=unsplash&amp;utm_medium=referral&amp;utm_content=creditCopyText">Unsplash</a></span>
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<span>Photo by <a href="https://unsplash.com/@clemono2?utm_source=unsplash&amp;utm_medium=referral&amp;utm_content=creditCopyText">Clem Onojeghuo</a> on <a href="https://unsplash.com/s/photos/old-car?utm_source=unsplash&amp;utm_medium=referral&amp;utm_content=creditCopyText">Unsplash</a></span>
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## Getting Started
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```
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yarn
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yarn start
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```

‎old-tv/images/old-tv.gif

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‎old-tv/images/sam-balye-8apM7vbRP-U-unsplash.jpg

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‎old-tv/index.html

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<!DOCTYPE html>
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<html>
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<head>
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<title>TensorFlow Template</title>
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<meta charset="UTF-8" />
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<link
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rel="stylesheet"
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href="./node_modules/modern-normalize/modern-normalize.css"
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/>
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</head>
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<body>
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<h1>OLD TV with TensorFlowJS</h1>
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<code id="tfversion"></code>
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<div id="app">
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<div class="buttons">
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<button id="rgb">RGB</button>
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<button id="bw">BW</button>
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<button id="power">Off</button>
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</div>
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<canvas id="bsod"></canvas>
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<div id="screen"></div>
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</div>
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<script src="./src/index.js"></script>
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</body>
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</html>

‎old-tv/package.json

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{
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"name": "tensorflowjs-template",
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"version": "1.0.0",
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"description": "",
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"main": "index.html",
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"scripts": {
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"start": "parcel index.html --open",
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"build": "parcel build index.html"
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},
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"dependencies": {
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"@tensorflow/tfjs": "^2.0.1",
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"modern-normalize": "^0.7.0"
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},
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"devDependencies": {
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"@babel/core": "7.2.0",
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"parcel-bundler": "^1.6.1"
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},
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"keywords": []
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}

‎old-tv/src/index.js

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import * as tf from '@tensorflow/tfjs';
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import './styles.css';
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document.getElementById(
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'tfversion'
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).innerHTML = `TensorFlow version: ${tf.version.tfjs}`;
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const blankScreenCanvas = document.getElementById('bsod');
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const blankScreen = tf.fill([400, 500, 1], 0.2);
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tf.browser.toPixels(blankScreen, blankScreenCanvas);
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// CHALLENGE
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// make a function getImage that takes the number of channels as an argument
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// and returns a tensor image with that many channels of random pixel values
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// that is 250 pixels tall and 350 pixels wide
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// EXAMPLES:
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// getImage(1) should return a black and white static image
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// getImage(3) should return a random color static image
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let backImage = blankScreen;
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const img = new Image();
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img.crossOrigin = 'anonymous';
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img.src =
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'https://images.unsplash.com/photo-1472591339360-3d2c23f5a619?ixlib=rb-1.2.1&ixid=eyJhcHBfaWQiOjEyMDd9&auto=format&fit=crop&w=2165&q=80';
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console.log('img', img.src);
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img.onload = (result) => {
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backImage = tf.image.resizeBilinear(
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tf.browser.fromPixels(img),
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[400, 500],
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true
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);
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// prevent memory leaks!
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tensorArr.forEach((t) => t.dispose());
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loadImages(3);
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};
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function getImage(channels) {
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return tf.randomUniform([400, 500, channels], 0, 1);
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}
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function getTwoImage(channels) {
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return tf
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.randomUniform([400, 500, channels], 0, 255, 'int32')
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.add(backImage)
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.div(512);
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}
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let imgIndex = 0;
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let canvasArr;
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let tensorArr;
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let tvPower = true;
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const screen = document.getElementById('screen');
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const rgbButton = document.getElementById('rgb');
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const bwButton = document.getElementById('bw');
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const powerButton = document.getElementById('power');
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// This function creates 20 canvas elements based on your tensor function and
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// loads them to the page with display = 'none'
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function loadImages(channels) {
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screen.innerHTML = '';
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canvasArr = [];
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tensorArr = [];
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for (let i = 0; i < 20; i++) {
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const canvas = document.createElement('canvas');
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screen.appendChild(canvas);
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canvasArr.push(canvas);
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canvas.style.display = 'none';
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// Your getImage function at work!
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// const staticImg = getImage(channels);
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const staticImg = getTwoImage(channels);
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tensorArr.push(staticImg);
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tf.browser.toPixels(staticImg, canvas);
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}
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}
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// this function animates the static by looping over the array of canvas elements
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// and toggling their display to be visible one at a time if the TV is "on"
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function animatetvStatic() {
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requestAnimationFrame(() => {
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canvasArr[imgIndex].style.display = 'none';
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imgIndex++;
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if (imgIndex >= canvasArr.length) imgIndex = 0;
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if (tvPower) {
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canvasArr[imgIndex].style.display = 'block';
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}
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animatetvStatic();
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});
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}
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// this changes the array of canvas elements to be all black and white static
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bwButton.onclick = function () {
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// prevent memory leaks!
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tensorArr.forEach((t) => t.dispose());
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// load images with 1 channel, aka black and white
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loadImages(1);
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};
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// this changes the array of canvas elements to be all color static
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rgbButton.onclick = function () {
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// prevent memory leaks!
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tensorArr.forEach((t) => t.dispose());
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// load images with 3 channel, aka full color static!
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loadImages(3);
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};
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// toggles a boolean that our animation function uses to decide
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// whether or not to display canvas elements
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powerButton.onclick = function () {
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tvPower = !tvPower;
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powerButton.textContent = tvPower ? 'Off' : 'On';
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};
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// kicks things off with color static!
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loadImages(3);
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animatetvStatic();

‎old-tv/src/styles.css

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body {
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padding: 20px 40px;
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}
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#app {
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background-image: url(../images/sam-balye-8apM7vbRP-U-unsplash.jpg);
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background-size: cover;
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width: 960px;
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height: 654px;
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position: relative;
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}
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#bsod,
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#screen {
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position: absolute;
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top: 145px;
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left: 180px;
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width: 500px;
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height: 400px;
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}
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.buttons {
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position: absolute;
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top: 240px;
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right: 180px;
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display: grid;
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grid-row-gap: 30px;
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}
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#rgb,
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#bw {
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border-radius: 100%;
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width: 50px;
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height: 50px;
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}

‎tensorflowjs-template/yarn.lock ‎old-tv/yarn.lock

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safe-regex "^1.1.0"
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request-promise-core "1.1.3"
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request-promise-core "1.1.4"
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stealthy-require "^1.1.1"
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tough-cookie "^2.3.3"
43534352

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