ml5 = require("ml5@0.12.1");
P5 = require('https://unpkg.com/p5@1.9.2/lib/p5.js');
import {p5} from "@tmcw/p5";
CT = require("https://cdnjs.cloudflare.com/ajax/libs/color-thief/2.3.0/color-thief.umd.js");
colorThief = new CT();
clasificadorGenerico = ml5.imageClassifier('MobileNet');
extractorCualidades = ml5.featureExtractor('MobileNet');
clasificadorEntrenado = extractorCualidades.classification();
classification.data
classification.list
Plot.plot({
width,
height: 400,
marks: [
Plot.cell(classification.data, {
x: "i",
fill: d => `rgb(${d.palette[0][0]},${d.palette[0][1]},${d.palette[0][2]})`
})
]
})
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
