Diag

Diagnostics

Get human version

console.log(human.version);

2.2.0

Enable console debug output

const human = new Human({ debug: true });

Get current configuration

console.log(human.config);

{
  "backend": "tensorflow",
  "modelBasePath": "file://models/",
  "wasmPath": "https://cdn.jsdelivr.net/npm/@tensorflow/[email protected]/dist/",
  "debug": true
}

Get current environment details

console.log(human.env);

{
  "browser": true,
  "node": false,
  "worker": false,
  "platform": "Windows NT 10.0; Win64; x64",
  "agent": "Mozilla/5.0 AppleWebKit/537.36 Chrome/95.0.4629.0 Safari/537.36 Edg/95.0.1011.0",
  "backends": ["cpu","webgl","wasm"],
  "tfjs": {"version":"3.9.0"},
  "wasm": {"supported":true,"simd":true,"multithread":true},
  "webgl": {"supported":true,"version":"WebGL 2.0 (OpenGL ES 3.0 Chromium)","renderer":"WebKit WebGL"},
  "webgpu": {"supported":true,"adapter":"Default"},
  "kernels": []
}

Get list of all models

const models = human.models.list();
console.log(models);

models = [
  { name: 'face', loaded: true },
  { name: 'posenet', loaded: false },
  { name: 'blazepose', loaded: false },
  { name: 'efficientpose', loaded: false },
  { name: 'movenet', loaded: true },
  { name: 'handpose', loaded: true },
  { name: 'age', loaded: false },
  { name: 'gender', loaded: false },
  { name: 'emotion', loaded: true },
  { name: 'embedding', loaded: false },
  { name: 'nanodet', loaded: false },
  { name: 'centernet', loaded: false },
  { name: 'faceres', loaded: true },
  { name: 'segmentation', loaded: false },
];

Get memory usage information

console.log(human.tf.engine().memory());

memory = { numTensors: 1053, numDataBuffers: 1053, numBytes: 42736024 };

Get current TensorFlow flags

console.log(human.tf.ENV.flags);

flags = { DEBUG: false, PROD: true, CPU_HANDOFF_SIZE_THRESHOLD: 128 };

Get performance information

const result = await human.detect(input);
console.log(result.performance);

performance = {
  backend: 1, load: 283, image: 1, frames: 1, cached: 0, changed: 1, total: 947, draw: 0, face: 390, emotion: 15, embedding: 97, body: 97, hand: 142, object: 312, gesture: 0,
};

All possible fatal errors

Error(`modelpath error: expecting json file: ${path}`);
Error('input error: type is not recognized');
Error('input error: cannot create tensor');
Error('input error: cannot determine dimension');
Error('input error: attempted to use tensor but it is disposed');
Error('input error: attempted to use tensor without a shape');
Error(`input error: attempted to use tensor with unrecognized shape: ${input['shape']}`);
Error('canvas error: attempted to run in web worker but OffscreenCanvas is not supported');
Error('canvas error: attempted to run in browser but DOM is not defined');
Error('canvas error: attempted to use canvas in nodejs without canvas support installed');
Error('canvas error: cannot create output');
Error('backend error: attempting to use wasm backend but wasm path is not set');
Error('backend error: webgl context lost');