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major update for 1.8 release candidate

master
Vladimir Mandic 2021-04-25 13:15:57 -04:00
parent 3b81af15f2
commit 9062444877
1 changed files with 18 additions and 51 deletions
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69
Configuration.md

@ -48,19 +48,6 @@ const config: Config = {
// this disables per-model performance data but
// slightly increases performance
// cannot be used if profiling is enabled
profile: false, // internal: enable tfjs profiling
// this has significant performance impact
// only enable for debugging purposes
// currently only implemented for age,gender,emotion models
deallocate: false, // internal: aggresively deallocate gpu memory after each usage
// only valid for webgl and humangl 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, // internal: 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
// automatically disabled for Image, ImageData, ImageBitmap and Tensor inputs
@ -105,12 +92,11 @@ const config: Config = {
// detector, mesh, iris, age, gender, emotion
// (note: module is not loaded until it is required)
detector: {
modelPath: 'blazeface-back.json', // detector model
// can be either absolute path or relative to modelBasePath
modelPath: 'blazeface-back.json', // detector model, can be absolute path or relative to modelBasePath
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
// this parameter is not valid in nodejs
maxFaces: 10, // maximum number of faces detected in the input
maxDetected: 10, // maximum number of faces detected in the input
// should be set to the minimum number for performance
skipFrames: 21, // how many frames to go without re-running the face bounding box detector
// only used for video inputs
@ -120,18 +106,13 @@ const config: Config = {
skipInitial: false, // if previous detection resulted in no faces detected,
// should skipFrames be reset immediately to force new detection cycle
minConfidence: 0.2, // threshold for discarding a prediction
iouThreshold: 0.1, // threshold for deciding whether boxes overlap too much in
// non-maximum suppression (0.1 means drop if overlap 10%)
scoreThreshold: 0.2, // threshold for deciding when to remove boxes based on score
// in non-maximum suppression,
// this is applied on detection objects only and before minConfidence
iouThreshold: 0.1, // ammount of overlap between two detected objects before one object is removed
return: false, // return extracted face as tensor
},
mesh: {
enabled: true,
modelPath: 'facemesh.json', // facemesh model
// can be either absolute path or relative to modelBasePath
modelPath: 'facemesh.json', // facemesh model, can be absolute path or relative to modelBasePath
},
iris: {
@ -154,25 +135,18 @@ const config: Config = {
enabled: true,
minConfidence: 0.1, // threshold for discarding a prediction
skipFrames: 32, // how many frames to go without re-running the detector
modelPath: 'emotion.json', // face emotion model
// can be either absolute path or relative to modelBasePath
modelPath: 'emotion.json', // face emotion model, can be absolute path or relative to modelBasePath
},
},
body: {
enabled: true,
modelPath: 'posenet.json', // body model
// can be either absolute path or relative to modelBasePath
// can be 'posenet', 'blazepose' or 'efficientpose'
// 'blazepose' and 'efficientpose' are experimental
maxDetections: 1, // maximum number of people detected in the input
modelPath: 'posenet.json', // body model, can be absolute path or relative to modelBasePath
// can be 'posenet' or 'blazepose'
maxDetected: 1, // maximum number of people detected in the input
// should be set to the minimum number for performance
// only valid for posenet as blazepose only detects single pose
scoreThreshold: 0.2, // threshold for deciding when to remove boxes based on score
// in non-maximum suppression
// only valid for posenet as blazepose only detects single pose
nmsRadius: 20, // radius for deciding points are too close in non-maximum suppression
// only valid for posenet as blazepose only detects single pose
minConfidence: 0.2, // threshold for discarding a prediction
},
hand: {
@ -187,35 +161,28 @@ const config: Config = {
skipInitial: false, // if previous detection resulted in no hands detected,
// should skipFrames be reset immediately to force new detection cycle
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
iouThreshold: 0.1, // ammount of overlap between two detected objects before one object is removed
maxDetected: 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: 'handdetect.json', // hand detector model
// can be either absolute path or relative to modelBasePath
modelPath: 'handdetect.json', // hand detector model, can be absolute path or relative to modelBasePath
},
skeleton: {
modelPath: 'handskeleton.json', // hand skeleton model
// can be either absolute path or relative to modelBasePath
modelPath: 'handskeleton.json', // hand skeleton model, can be absolute path or relative to modelBasePath
},
},
object: {
enabled: false,
modelPath: 'nanodet.json', // object detection model
// can be either absolute path or relative to modelBasePath
// 'nanodet' is experimental
minConfidence: 0.20, // threshold for discarding a prediction
iouThreshold: 0.40, // threshold for deciding whether boxes overlap too much
// in non-maximum suppression
maxResults: 10, // maximum number of objects detected in the input
modelPath: 'nanodet.json', // experimental: object detection model, can be absolute path or relative to modelBasePath
minConfidence: 0.2, // threshold for discarding a prediction
iouThreshold: 0.4, // ammount of overlap between two detected objects before one object is removed
maxDetected: 10, // maximum number of objects detected in the input
skipFrames: 41, // how many frames to go without re-running the detector
},
};
export { config as defaults };
```
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