Config | @vladmandic/human

Configuration interface definition for Human library

Contains all configurable parameters

Hierarchy

Config

Index

Properties

async

async: boolean

Perform model loading and inference concurrently or sequentially

default: true

backend

Backend used for TFJS operations valid build-in backends are:

Browser: cpu, wasm, webgl, humangl, webgpu
NodeJS: cpu, wasm, tensorflow default: humangl for browser and tensorflow for nodejs

body

body: Partial<BodyConfig>

BodyConfig

cacheSensitivity

cacheSensitivity: number

Cache sensitivity

values 0..1 where 0.01 means reset cache if input changed more than 1%
set to 0 to disable caching

default: 0.7

deallocate

deallocate: boolean

Perform immediate garbage collection on deallocated tensors instead of caching them

debug

debug: boolean

Print debug statements to console

default: true

face

face: Partial<FaceConfig>

FaceConfig

filter

filter: Partial<FilterConfig>

FilterConfig

gesture

gesture: Partial<GestureConfig>

GestureConfig

hand

hand: Partial<HandConfig>

HandConfig

modelBasePath

modelBasePath: string

Base model path (typically starting with file://, http:// or https://) for all models

individual modelPath values are relative to this path

default: ../models/ for browsers and file://models/ for nodejs

object

object: Partial<ObjectConfig>

ObjectConfig

segmentation

segmentation: Partial<SegmentationConfig>

SegmentationConfig

skipAllowed

skipAllowed: boolean

Internal Variable

warmup

warmup: "" | "face" | "body" | "none" | "full"

What to use for human.warmup()

warmup pre-initializes all models for faster inference but can take significant time on startup
used by webgl, humangl and webgpu backends

default: full

wasmPath

wasmPath: string

Path to *.wasm files if backend is set to wasm

default: auto-detects to link to CDN jsdelivr when running in browser