mirror of https://github.com/vladmandic/human
84 lines
4.5 KiB
JavaScript
84 lines
4.5 KiB
JavaScript
/* eslint-disable indent */
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/* eslint-disable no-multi-spaces */
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export default {
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backend: 'webgl', // select tfjs backend to use
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console: true, // enable debugging output to console
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face: {
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enabled: true, // controls if specified modul is enabled
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// face.enabled is required for all face models: detector, mesh, iris, age, gender, emotion
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// (note: module is not loaded until it is required)
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detector: {
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modelPath: '../models/blazeface/back/model.json', // can be 'tfhub', 'front' or 'back'.
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// 'front' is optimized for large faces such as front-facing camera and 'back' is optimized for distanct faces.
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inputSize: 256, // fixed value: 128 for front and 'tfhub' and 'front' and 256 for 'back'
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maxFaces: 10, // maximum number of faces detected in the input, should be set to the minimum number for performance
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skipFrames: 10, // how many frames to go without re-running the face bounding box detector
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// if model is running st 25 FPS, we can re-use existing bounding box for updated face mesh analysis
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// as face probably hasn't moved much in short time (10 * 1/25 = 0.25 sec)
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minConfidence: 0.5, // threshold for discarding a prediction
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iouThreshold: 0.3, // threshold for deciding whether boxes overlap too much in non-maximum suppression
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scoreThreshold: 0.7, // threshold for deciding when to remove boxes based on score in non-maximum suppression
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},
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mesh: {
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enabled: true,
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modelPath: '../models/facemesh/model.json',
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inputSize: 192, // fixed value
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},
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iris: {
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enabled: true,
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modelPath: '../models/iris/model.json',
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enlargeFactor: 2.3, // empiric tuning
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inputSize: 64, // fixed value
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},
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age: {
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enabled: true,
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modelPath: '../models/ssrnet-age/imdb/model.json', // can be 'imdb' or 'wiki'
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// which determines training set for model
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inputSize: 64, // fixed value
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skipFrames: 10, // how many frames to go without re-running the detector
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},
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gender: {
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enabled: true,
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minConfidence: 0.8, // threshold for discarding a prediction
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modelPath: '../models/ssrnet-gender/imdb/model.json',
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},
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emotion: {
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enabled: true,
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inputSize: 64, // fixed value
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minConfidence: 0.5, // threshold for discarding a prediction
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skipFrames: 10, // how many frames to go without re-running the detector
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useGrayscale: true, // convert image to grayscale before prediction or use highest channel
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modelPath: '../models/emotion/model.json',
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},
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},
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body: {
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enabled: true,
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modelPath: '../models/posenet/model.json',
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inputResolution: 257, // fixed value
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outputStride: 16, // fixed value
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maxDetections: 10, // maximum number of people detected in the input, should be set to the minimum number for performance
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scoreThreshold: 0.7, // threshold for deciding when to remove boxes based on score in non-maximum suppression
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nmsRadius: 20, // radius for deciding points are too close in non-maximum suppression
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},
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hand: {
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enabled: true,
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inputSize: 256, // fixed value
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skipFrames: 10, // how many frames to go without re-running the hand bounding box detector
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// if model is running st 25 FPS, we can re-use existing bounding box for updated hand skeleton analysis
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// as face probably hasn't moved much in short time (10 * 1/25 = 0.25 sec)
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minConfidence: 0.5, // threshold for discarding a prediction
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iouThreshold: 0.3, // threshold for deciding whether boxes overlap too much in non-maximum suppression
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scoreThreshold: 0.7, // threshold for deciding when to remove boxes based on score in non-maximum suppression
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enlargeFactor: 1.65, // empiric tuning as skeleton prediction prefers hand box with some whitespace
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maxHands: 10, // maximum number of hands detected in the input, should be set to the minimum number for performance
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detector: {
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anchors: '../models/handdetect/anchors.json',
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modelPath: '../models/handdetect/model.json',
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},
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skeleton: {
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modelPath: '../models/handskeleton/model.json',
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},
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},
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};
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