ambiser
/
human
mirror of https://github.com/vladmandic/human
9
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity

remove obsolete age,gender,embedding,efficientpose

master
Vladimir Mandic 2021-04-24 18:37:57 -04:00
parent ee4cf3aa27
commit 04cd6e7b21
3 changed files with 3 additions and 32 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

23
Configuration.md

@ -156,29 +156,6 @@ const config: Config = {
modelPath: 'emotion.json', // face emotion model modelPath: 'emotion.json', // face emotion model
// can be either absolute path or relative to modelBasePath // can be either absolute path or relative to modelBasePath
}, },
age: {
enabled: false, // obsolete, replaced by description module
modelPath: 'age.json', // age model
// can be either absolute path or relative to modelBasePath
skipFrames: 33, // how many frames to go without re-running the detector
// only used for video inputs
},
gender: {
enabled: false, // obsolete, replaced by description module
minConfidence: 0.1, // threshold for discarding a prediction
modelPath: 'gender.json', // gender model
// can be either absolute path or relative to modelBasePath
skipFrames: 34, // how many frames to go without re-running the detector
// only used for video inputs
},
embedding: {
enabled: false, // obsolete, replaced by description module
modelPath: 'mobileface.json', // face descriptor model
// can be either absolute path or relative to modelBasePath
},
}, },
body: { body: {

3
Embedding.md

@ -15,7 +15,7 @@ It highlights functionality such as:
## Usage ## Usage
To use face simmilaity compare feature, you must first enable `face.embedding` module To use face simmilaity compare feature, you must first enable `face.description` module
and calculate embedding vectors for both first and second image you want to compare and calculate embedding vectors for both first and second image you want to compare
To achieve quality results, it is also highly recommended to have `face.mesh` and `face.detection.rotation` To achieve quality results, it is also highly recommended to have `face.mesh` and `face.detection.rotation`
@ -32,7 +32,6 @@ const myConfig = {
detector: { rotation: true, return: true }, detector: { rotation: true, return: true },
mesh: { enabled: true }, mesh: { enabled: true },
description: { enabled: true }, description: { enabled: true },
// embedding: { enabled: true }, // alternative you can use embedding module instead of description
}, },
}; };

9
Usage.md

@ -25,7 +25,7 @@ or if you want to use promises
}) })
``` ```
Additionally, `Human` library exposes several objects and methods: `Human` library exposes several additional objects and methods:
```js ```js
human.version // string containing version of human library human.version // string containing version of human library
@ -39,20 +39,15 @@ Additionally, `Human` library exposes several objects and methods:
human.image(image, config?) // runs image processing without detection and returns canvas human.image(image, config?) // runs image processing without detection and returns canvas
human.warmup(config, image? // warms up human library for faster initial execution after loading human.warmup(config, image? // warms up human library for faster initial execution after loading
// if image is not provided, it will generate internal sample // if image is not provided, it will generate internal sample
human.similarity(embedding1, embedding2) // runs similarity calculation between two provided embedding vectors
// vectors for source and target must be previously detected using
// face.embedding module
human.enhance(face) // returns enhanced tensor of a previously detected face that can be used for visualizations
``` ```
Additional functions used for face recognition: Additional functions used for face recognition:
For details, see [embedding documentation](https://github.com/vladmandic/human/wiki/Embedding) For details, see [embedding documentation](https://github.com/vladmandic/human/wiki/Embedding)
```js ```js
human.similarity(embedding1, embedding2) // runs similarity calculation between two provided embedding vectors human.similarity(embedding1, embedding2) // runs similarity calculation between two provided embedding vectors
// vectors for source and target must be previously detected using // vectors for source and target must be previously detected using
// face.embedding module // face.description module
human.match(embedding, db, threshold) // finds best match for current face in a provided list of faces human.match(embedding, db, threshold) // finds best match for current face in a provided list of faces
human.enhance(face) // returns enhanced tensor of a previously detected face that can be used for visualizations human.enhance(face) // returns enhanced tensor of a previously detected face that can be used for visualizations
``` ```