/* eslint-disable indent */ /* eslint-disable no-multi-spaces */ export default { backend: 'webgl', // select tfjs backend to use wasmPath: '../assets/', // path for wasm binaries // only used for backend: wasm async: true, // execute enabled models in parallel // this disables per-model performance data but // slightly increases performance // cannot be used if profiling is enabled profile: false, // enable tfjs profiling // this has significant performance impact // only enable for debugging purposes // currently only implemented for age,gender,emotion models deallocate: false, // aggresively deallocate gpu memory after each usage // only valid for webgl backend and only during first call // cannot be changed unless library is reloaded // this has significant performance impact // only enable on low-memory devices scoped: false, // enable scoped runs // some models *may* have memory leaks, // this wrapps everything in a local scope at a cost of performance // typically not needed videoOptimized: true, // perform additional optimizations when input is video, // must be disabled for images // basically this skips object box boundary detection for every n frames // while maintaining in-box detection since objects cannot move that fast warmup: 'face', // what to use for human.warmup(), can be 'none', 'face', 'full' // warmup pre-initializes all models for faster inference but can take // significant time on startup filter: { enabled: true, // enable image pre-processing filters width: 0, // resize input width height: 0, // resize input height // if both width and height are set to 0, there is no resizing // if just one is set, second one is scaled automatically // if both are set, values are used as-is return: true, // return processed canvas imagedata in result brightness: 0, // range: -1 (darken) to 1 (lighten) contrast: 0, // range: -1 (reduce contrast) to 1 (increase contrast) sharpness: 0, // range: 0 (no sharpening) to 1 (maximum sharpening) blur: 0, // range: 0 (no blur) to N (blur radius in pixels) saturation: 0, // range: -1 (reduce saturation) to 1 (increase saturation) hue: 0, // range: 0 (no change) to 360 (hue rotation in degrees) negative: false, // image negative sepia: false, // image sepia colors vintage: false, // image vintage colors kodachrome: false, // image kodachrome colors technicolor: false, // image technicolor colors polaroid: false, // image polaroid camera effect pixelate: 0, // range: 0 (no pixelate) to N (number of pixels to pixelate) }, gesture: { enabled: true, // enable simple gesture recognition }, face: { enabled: true, // controls if specified modul is enabled // face.enabled is required for all face models: // detector, mesh, iris, age, gender, emotion // (note: module is not loaded until it is required) detector: { modelPath: '../models/blazeface-back.json', // can be 'front' or 'back'. // 'front' is optimized for large faces // such as front-facing camera and // 'back' is optimized for distanct faces. inputSize: 256, // fixed value: 128 for front and 256 for 'back' rotation: false, // use best-guess rotated face image or just box with rotation as-is // false means higher performance, but incorrect mesh mapping if face angle is above 20 degrees maxFaces: 10, // maximum number of faces detected in the input // should be set to the minimum number for performance skipFrames: 11, // how many frames to go without re-running the face bounding box detector // only used for video inputs // e.g., if model is running st 25 FPS, we can re-use existing bounding // box for updated face analysis as the head probably hasn't moved much // in short time (10 * 1/25 = 0.25 sec) minConfidence: 0.5, // threshold for discarding a prediction iouThreshold: 0.2, // threshold for deciding whether boxes overlap too much in // non-maximum suppression (0.1 means drop if overlap 10%) scoreThreshold: 0.5, // threshold for deciding when to remove boxes based on score // in non-maximum suppression, // this is applied on detection objects only and before minConfidence }, mesh: { enabled: true, modelPath: '../models/facemesh.json', inputSize: 192, // fixed value returnRawData: false, // in addition to standard mesh and box values, return raw normalized values as well }, iris: { enabled: true, modelPath: '../models/iris.json', inputSize: 64, // fixed value }, age: { enabled: true, modelPath: '../models/age-ssrnet-imdb.json', // can be 'age-ssrnet-imdb' or 'age-ssrnet-wiki' // which determines training set for model inputSize: 64, // fixed value skipFrames: 31, // how many frames to go without re-running the detector // only used for video inputs }, gender: { enabled: true, minConfidence: 0.1, // threshold for discarding a prediction modelPath: '../models/gender-ssrnet-imdb.json', // can be 'gender', 'gender-ssrnet-imdb' or 'gender-ssrnet-wiki' inputSize: 64, // fixed value skipFrames: 41, // how many frames to go without re-running the detector // only used for video inputs }, emotion: { enabled: true, inputSize: 64, // fixed value minConfidence: 0.2, // threshold for discarding a prediction skipFrames: 21, // how many frames to go without re-running the detector modelPath: '../models/emotion-large.json', // can be 'mini', 'large' }, embedding: { enabled: false, inputSize: 112, // fixed value modelPath: '../models/mobilefacenet.json', }, }, body: { enabled: true, modelPath: '../models/posenet.json', inputSize: 257, // fixed value maxDetections: 10, // maximum number of people detected in the input // should be set to the minimum number for performance scoreThreshold: 0.5, // threshold for deciding when to remove boxes based on score // in non-maximum suppression nmsRadius: 20, // radius for deciding points are too close in non-maximum suppression outputStride: 16, // size of block in which to run point detectopn, smaller value means higher resolution // defined by model itself, can be 8, 16, or 32 modelType: 'MobileNet', // Human includes MobileNet version, but you can switch to ResNet }, pose: { // TBD: not currently in use enabled: false, scoreThreshold: 0.6, // threshold for deciding when to remove boxes based on score // in non-maximum suppression iouThreshold: 0.3, // threshold for deciding whether boxes overlap too much // in non-maximum suppression modelPath: '../models/blazepose.json', inputSize: 256, // fixed value }, hand: { enabled: true, rotation: false, // use best-guess rotated hand image or just box with rotation as-is // false means higher performance, but incorrect finger mapping if hand is inverted inputSize: 256, // fixed value skipFrames: 12, // how many frames to go without re-running the hand bounding box detector // only used for video inputs // e.g., if model is running st 25 FPS, we can re-use existing bounding // box for updated hand skeleton analysis as the hand probably // hasn't moved much in short time (10 * 1/25 = 0.25 sec) minConfidence: 0.1, // threshold for discarding a prediction iouThreshold: 0.1, // threshold for deciding whether boxes overlap too much // in non-maximum suppression scoreThreshold: 0.5, // threshold for deciding when to remove boxes based on // score in non-maximum suppression maxHands: 1, // maximum number of hands detected in the input // should be set to the minimum number for performance landmarks: true, // detect hand landmarks or just hand boundary box detector: { modelPath: '../models/handdetect.json', }, skeleton: { modelPath: '../models/handskeleton.json', }, }, };