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Add back danny-devito
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@@ -24,5 +24,4 @@ tf_models/
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.DS_Store
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# In-Development Commands
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commands/edit-face/danny-devito.js
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commands/edit-face/emoji-face.js
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@@ -0,0 +1,58 @@
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const Command = require('../../framework/Command');
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const request = require('node-superfetch');
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const { createCanvas, loadImage } = require('canvas');
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const path = require('path');
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module.exports = class DannyDevitoCommand extends Command {
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constructor(client) {
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super(client, {
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name: 'danny-devito',
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aliases: ['devito'],
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group: 'edit-face',
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memberName: 'danny-devito',
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description: 'Draws Danny Devito\'s face onto the faces in an image.',
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throttling: {
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usages: 1,
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duration: 60
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},
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credit: [
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{
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name: 'Danny DeVito',
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url: 'https://twitter.com/dannydevito',
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reason: 'Himself'
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}
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],
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args: [
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{
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key: 'image',
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prompt: 'What face would you like to scan?',
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type: 'image-or-avatar'
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}
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]
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});
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}
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async run(msg, { image }) {
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const danny = await loadImage(path.join(__dirname, '..', '..', 'assets', 'images', 'danny-devito.png'));
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const imgData = await request.get(image);
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const faces = await this.client.detectFaces(imgData.body);
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if (!faces) return msg.reply('There are no faces in this image.');
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if (faces === 'size') return msg.reply('This image is too large.');
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const base = await loadImage(imgData.body);
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const canvas = createCanvas(base.width, base.height);
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const ctx = canvas.getContext('2d');
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ctx.drawImage(base, 0, 0);
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for (const face of faces) {
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const ratio = face.box.width / danny.width;
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const height = danny.height * ratio;
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ctx.drawImage(
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danny,
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face.box.xMin - (face.box.width * 0.25),
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face.box.yMin - (height / 2) - (height * 0.25),
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face.box.width * 1.5,
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height * 1.5
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);
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}
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return msg.say({ files: [{ attachment: canvas.toBuffer(), name: 'danny-devito.png' }] });
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}
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};
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