Backends

Backends

Human library includes pre-bundled CPU, WASM and WebGL backends, there is no need to load them externally.

Notes:

• CPU backend usage is not recommended for performance reasons
  as TensorFlow implementation in JavaScript is by far the slowest
• WebGL backend usage is fastest on systems with modern GPU
  although startup speed is a bit slower
• WASM backend has good resuts under specific conditions:
  • Enable WASM SIMD support in your browser
    (CPU parallel processing instructions)
  • Reduce size of input image (e.g. webcam)
    as WASM does not have optimized image extraction methods

How to enable WASM SIMD support

Chrome:

• Navigate to chrome://flags
• WebAssembly SIMD support set to Enabled

Edge:

• Navigate to chrome://flags
• WebAssembly SIMD support set to Enabled

Firefox:

• Navigate to about:config
• javascript.options.wasm_simd set to True

Known Issues:

• WASM backend without SIMD has limited processing capabilities before it causes issues
  To avoid issues, start human with most models disabled and if needed, enable them one by one as each initializes
  Typical errors messages are:
  Uncaught (in promise) Error: undefined tfjs-backend-wasm.wasm or
  RuntimeError: memory access out of bounds in tfjs-backend-wasm.wasm
• NodeJS backend is missing key operatios and thus neither Face nor Hand models are currently supported