Published
Edited
Oct 27, 2021
7 stars
md`## Requires`
druid = require("@saehrimnir/druidjs")
d3 = require("d3")
Delaunay = require("d3-delaunay")
model
import { model } from "@radames/face-landmarks-detection-tensorflow-js"
import { Button, Select, Text, Range, Toggle } from "@observablehq/inputs"
import { imageInput } from "@mbostock/file-input"
image = {
let context;
const aspect_ratio = uploaded.width / uploaded.height;
const width = Math.min(uploaded.width, 400);
const height = width / aspect_ratio;
context = DOM.context2d(width, height)
context.drawImage(uploaded, 0, 0, width, height)
context.canvas.style = "width: 50%"
return context.canvas;
}
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.
