Render 2d (Visualization) The 2d visualization module for the Node SDK
EyePop.ai Render 2d Node Module
This EyePop.ai Node Module provides convenient 2d rendering functions for predictions returned by to the EyePop.ai's inference API from applications written in the TypeScript or JavaScript language.
The module requires the EyePop Node SDK
Installation
Node
Copy npm install --save @eyepop.ai/eyepop @eyepop.ai/eyepop-render-2d
Browser
Copy < script src = "https://cdn.jsdelivr.net/npm/@eyepop.ai/eyepop/dist/eyepop.min.js" ></ script >
< script src = "https://cdn.jsdelivr.net/npm/@eyepop.ai/eyepop-render-2d/dist/eyepop.render2d.min.js" ></ script >
Usage example
Node
This EyePop Node Module provides 2d rendering for predictions using canvas.CanvasRenderingContext2D
.
Copy import { EyePop } from '@eyepop.ai/eyepop' ;
import { Render2d } from '@eyepop.ai/eyepop-render-2d' ;
import {createCanvas , loadImage} from "canvas" ;
import {open} from 'openurl' ;
import { mkdtempSync , writeFileSync } from 'node:fs' ;
import { join } from 'node:path' ;
import { tmpdir } from 'node:os' ;
const example_image_path = 'examples/example.jpg' ;
( async () => {
const image = await loadImage (example_image_path)
const canvas = createCanvas ( image .width , image .height)
const context = canvas .getContext ( "2d" )
const renderer = Render2d .renderer (context)
context .drawImage (image , 0 , 0 )
const endpoint = await EyePop .endpoint () .connect ()
try {
let results = await endpoint .process ({path : example_image_path})
for await ( let result of results) {
renderer .draw (result)
}
} finally {
await endpoint .disconnect ()
}
const tmp_dir = mkdtempSync ( join ( tmpdir () , 'ep-demo-' ))
const temp_file = join (tmp_dir , 'out.png' )
console .log ( `creating temp file: ${ temp_file } ` )
const buffer = canvas .toBuffer ( 'image/png' )
writeFileSync (temp_file , buffer)
open ( `file:// ${ temp_file } ` )
})();
Browser
Copy <! DOCTYPE html >
< html lang = "en" >
< head >
< script src = "https://cdn.jsdelivr.net/npm/@eyepop.ai/eyepop/dist/eyepop.min.js" ></ script >
< script src = "https://cdn.jsdelivr.net/npm/@eyepop.ai/eyepop-render-2d/dist/eyepop.render2d.min.js" ></ script >
</ head >
< body >
<!-- ... -->
< input type = "file" id = "my-file-chooser" >
<!-- ... -->
< canvas id = "my-canvas" ></ canvas >
<!-- ... -->
< script >
async uploadFile (event) {
const fileChooser = document .getElementById ( 'my-file-chooser' );
const context = document .getElementById ( 'my-canvas' ) .getContext ( "2d" );
const renderer = Render2d .renderer (context);
const endpoint = await EyePop .endpoint ({ auth : { oAuth2 : true } , popId : '< Pop Id>' }) .connect ();
endpoint .process ({file : fileChooser .files[ 0 ]}) .then ( async (results) => {
for await ( let result of results) {
renderer .draw (result);
}
});
await endpoint .disconnect ();
});
</ script >
</ body >
</ html >
Rendering Rules
By default, the 2d renderer renders boxes and class-labels for every top level object in the prediction. Change this rendering behaviour by passing in rendering rule(s), e.g.:
Copy // ...
Render2d .renderer (context , [ Render2 .renderFace ()]) .draw (result);
// ...
Each rule has a render
object and a target
attribute. All prebuild render classes accept a JSONPath expression as target
parameter to select which elements should be rendered from predictions. See JSONPath expression
Most prebuild render classes provide a reasonable default target
.
Rendering Bounding Boxes and Class Labels
Copy Render2d .renderBox (target = '$.objects.*' )
// or
Render2d .renderBox ()
Render Human Body Poses (2d or 3d)
Copy Render2d .renderPose (target = '$..objects[?(@.category=="person")]' )
// or
Render2d .renderPose ()
Render Human Hand Details
Copy Render2d .renderHand (target = '$..objects[?(@.classLabel=="hand circumference")]' )
// or
Render2d .renderHand ()
Render Human Faces
Copy Render2d .renderFace (target = '$..objects[?(@.classLabel=="face")]' )
// or
Render2d .renderFace ()
Render Segmentation Masks
Copy Render2d .renderMask (target = '$..objects[?(@.mask)]' )
// or
Render2d .renderMask ()
Render Segmentation Contours
Copy Render2d .renderContour (target = '$..objects[?(@.contours)]' )
// or
Render2d .renderContour ()
Blur an Object (TODO does black-put instead of blur)
Copy Render2d .renderBlur (target = '$..objects[?(@.classLabel=="face")]' )
Render a Trail of a traced object over time
Copy Render2d .renderTrail ( 1.0 , target = '$..objects[?(@.traceId)]' )
// or
Render2d .renderTrail ()
By default, this traces the mid-point of the object's bounding box. Instead, one can also draw trails of sub-objects or key points of the traced object. Use the optional parameter traceDetails
for this purpose. E.g. trail the nose of every traced person:
Copy Render2d .renderTrail ( 1.0 , '$..keyPoints[?(@.category=="3d-body-points")].points[?(@.classLabel.includes("nose"))]' )
Custom render implementation
To implement custom rendering rules, implement the Render
interface and create your own RenderRule
objects:
Copy export interface Render {
start (context : CanvasRenderingContext2D , style : Style ) : void
draw (element : any , xOffset : number , yOffset : number , xScale : number , yScale : number , streamTime : StreamTime ) : void
}
export interface RenderRule {
readonly render : Render
readonly target : string
}
Last updated 4 months ago