Interface Config

Perform model loading and inference concurrently or sequentially

default: true

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 config BodyConfig

Cache models in IndexDB on first sucessfull load default: true if indexdb is available (browsers), false if its not (nodejs)

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

Perform immediate garbage collection on deallocated tensors instead of caching them

Print debug statements to console

default: true

Face config FaceConfig

Filter config FilterConfig

Gesture config GestureConfig

Hand config HandConfig

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 config ObjectConfig

Segmentation config SegmentationConfig

Internal Variable

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

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

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

Force WASM loader to use platform fetch

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