mirror of https://github.com/vladmandic/human
update config for faceboxes
Vladimir Mandic
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# @vladmandic/human
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Version: **0.11.1**
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Version: **0.11.4**
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Description: **Human: AI-powered 3D Face Detection, Face Embedding & Recognition, Body Pose Tracking, Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction & Gesture Recognition**
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Author: **Vladimir Mandic <mandic00@live.com>**
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@ -10,6 +10,13 @@ Repository: **<git+https://github.com/vladmandic/human.git>**
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## Changelog
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### **HEAD -> main, tag: v0.11.4, origin/main, origin/HEAD** 2021/02/06 mandic00@live.com
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### **tag: v0.11.3** 2021/02/02 mandic00@live.com
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### **tag: v0.11.2** 2021/01/30 mandic00@live.com
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- added warmup for nodejs
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### **update for tfjs 3.0.0** 2021/01/29 mandic00@live.com
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### **tag: v0.11.1** 2021/01/29 mandic00@live.com
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@ -37,7 +37,6 @@ config = {
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backend: 'webgl', // select tfjs backend to use
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wasmPath: '../assets/', // path for wasm binaries
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// only used for backend: wasm
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console: true, // enable debugging output to console
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async: true, // execute enabled models in parallel
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// this disables per-model performance data but
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// slightly increases performance
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@ -62,7 +61,6 @@ config = {
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warmup: 'face', // what to use for human.warmup(), can be 'none', 'face', 'full'
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// warmup pre-initializes all models for faster inference but can take
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// significant time on startup
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filter: {
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enabled: true, // enable image pre-processing filters
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width: 0, // resize input width
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@ -96,16 +94,16 @@ config = {
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// 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.json', // can be 'front' or 'back'.
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// 'front' is optimized for large faces
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// such as front-facing camera and
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// 'back' is optimized for distanct faces.
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modelPath: '../models/blazeface-back.json', // can be 'blazeface-front', 'blazeface-front' or 'faceboxes'
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// 'blazeface-front' is blazeface model optimized for large faces such as front-facing camera
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// 'blazeface-back' is blazeface model optimized for smaller and/or distanct faces
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// 'faceboxes' is alternative model to 'blazeface
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inputSize: 256, // fixed value: 128 for front and 256 for 'back'
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rotation: false, // use best-guess rotated face image or just box with rotation as-is
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// false means higher performance, but incorrect mesh mapping if face angle is above 20 degrees
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maxFaces: 10, // maximum number of faces detected in the input
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// should be set to the minimum number for performance
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skipFrames: 15, // how many frames to go without re-running the face bounding box detector
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skipFrames: 11, // how many frames to go without re-running the face bounding box detector
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// only used for video inputs
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// e.g., if model is running st 25 FPS, we can re-use existing bounding
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// box for updated face analysis as the head probably hasn't moved much
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@ -136,7 +134,7 @@ config = {
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modelPath: '../models/age-ssrnet-imdb.json', // can be 'age-ssrnet-imdb' or 'age-ssrnet-wiki'
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// which determines training set for model
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inputSize: 64, // fixed value
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skipFrames: 15, // how many frames to go without re-running the detector
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skipFrames: 31, // how many frames to go without re-running the detector
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// only used for video inputs
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},
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@ -145,7 +143,7 @@ config = {
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minConfidence: 0.1, // threshold for discarding a prediction
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modelPath: '../models/gender-ssrnet-imdb.json', // can be 'gender', 'gender-ssrnet-imdb' or 'gender-ssrnet-wiki'
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inputSize: 64, // fixed value
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skipFrames: 15, // how many frames to go without re-running the detector
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skipFrames: 41, // how many frames to go without re-running the detector
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// only used for video inputs
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},
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@ -153,7 +151,7 @@ config = {
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enabled: true,
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inputSize: 64, // fixed value
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minConfidence: 0.2, // threshold for discarding a prediction
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skipFrames: 15, // how many frames to go without re-running the detector
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skipFrames: 21, // how many frames to go without re-running the detector
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modelPath: '../models/emotion-large.json', // can be 'mini', 'large'
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},
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@ -170,9 +168,12 @@ config = {
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inputSize: 257, // fixed value
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maxDetections: 10, // maximum number of people detected in the input
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// should be set to the minimum number for performance
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scoreThreshold: 0.8, // threshold for deciding when to remove boxes based on score
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scoreThreshold: 0.5, // threshold for deciding when to remove boxes based on score
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// 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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outputStride: 16, // size of block in which to run point detectopn, smaller value means higher resolution
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// defined by model itself, can be 8, 16, or 32
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modelType: 'MobileNet', // Human includes MobileNet version, but you can switch to ResNet
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},
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hand: {
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@ -180,15 +181,15 @@ config = {
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rotation: false, // use best-guess rotated hand image or just box with rotation as-is
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// false means higher performance, but incorrect finger mapping if hand is inverted
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inputSize: 256, // fixed value
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skipFrames: 15, // how many frames to go without re-running the hand bounding box detector
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skipFrames: 12, // how many frames to go without re-running the hand bounding box detector
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// only used for video inputs
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// e.g., if model is running st 25 FPS, we can re-use existing bounding
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// box for updated hand skeleton analysis as the hand probably
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// 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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minConfidence: 0.1, // threshold for discarding a prediction
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iouThreshold: 0.1, // threshold for deciding whether boxes overlap too much
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// in non-maximum suppression
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scoreThreshold: 0.8, // threshold for deciding when to remove boxes based on
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scoreThreshold: 0.5, // threshold for deciding when to remove boxes based on
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// score in non-maximum suppression
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maxHands: 1, // maximum number of hands detected in the input
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// should be set to the minimum number for performance
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@ -1,6 +1,7 @@
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## Credits
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- Face Detection: [**MediaPipe BlazeFace**](https://drive.google.com/file/d/1f39lSzU5Oq-j_OXgS67KfN5wNsoeAZ4V/view)
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- Face Boxes: [**FaceBoxes**](https://github.com/TropComplique/FaceBoxes-tensorflow/)
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- Facial Spacial Geometry: [**MediaPipe FaceMesh**](https://drive.google.com/file/d/1VFC_wIpw4O7xBOiTgUldl79d9LA-LsnA/view)
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- Eye Iris Details: [**MediaPipe Iris**](https://drive.google.com/file/d/1bsWbokp9AklH2ANjCfmjqEzzxO1CNbMu/view)
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- Hand Detection & Skeleton: [**MediaPipe HandPose**](https://drive.google.com/file/d/1sv4sSb9BSNVZhLzxXJ0jBv9DqD-4jnAz/view)
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