https://github.com/shiffman/rekognition-for-processing

A quick library to make using Rekognition API easy to use in Processing
https://github.com/shiffman/rekognition-for-processing

Last synced: 11 days ago
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A quick library to make using Rekognition API easy to use in Processing

• Host: GitHub
• URL: https://github.com/shiffman/rekognition-for-processing
• Owner: shiffman
• Created: 2013-06-19T15:41:40.000Z (over 11 years ago)
• Default Branch: master
• Last Pushed: 2014-03-17T15:08:43.000Z (over 10 years ago)
• Last Synced: 2024-10-14T14:32:14.801Z (25 days ago)
• Language: Java
• Size: 4.06 MB
• Stars: 33
• Watchers: 8
• Forks: 9
• Open Issues: 11
• Metadata Files:
  • Readme: README.md

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README

        
Rekognition for Processing

==========================

A quick Processing library to make using [Rekognition API](http://rekognition.com/) easy to use in Processing.  

[Rekognition](http://rekognition.com/) is an open API platform provided by Orbeus, which helps developers easily incorporate the state-of-the-art computer vision capabilities of facial recognition, object recognition and scene understanding into your app or software. 

Getting Started

===============

To use the library, you'll need to:

* [Register for an API Key](https://rekognition.com/user/create) with Orbeus, Inc.

* Install the [HTTP Requests for Processing](https://github.com/runemadsen/HTTP-Requests-for-Processing) library.

How-to

======

## Create library instance

```

Rekognition rekog = new Rekognition(this, APIKEY, APISECRET);

// Optionall set namespace and app name

rekog.setNamespace("processing");

rekog.setUserID("demo");

```

## Basic Face Detection

```

// Get a list of faces

RFace[] faces = rekog.detectFacesPath(filename);

// Get face meta data

for (int i = 0; i < faces.length; i++) {

  PVector center = faces[i].center;

  PVector eye_right = faces[i].eye_right;

  PVector eye_right = faces[i].eye_right;

  PVector eye_left = faces[i].eye_left;

  PVector mouth_right = faces[i].mouth_right;

  PVector mouth_left = faces[i].mouth_left;

  PVector nose = faces[i].nose;

  String gender = faces[i].gender;

  float age = faces[i].age;

  // and more!

}

```

## Train Face Recognition

```

// Here we tell Rekognition that the face in this image associated with this name

rekog.addFace("pitt.jpg", "Pitt");

// We need a second API call to train Rekognition of whatever faces have been added

// Here it's one face, then train, but you could add a lot of faces before training

rekog.train();

```

## Face Recognize

```

for (int i = 0; i < faces.length; i++) {

  // Possible face matches come back in a FloatDict

  // A string (name of face) is paired with a float from 0 to 1 (how likely is it that face)

  FloatDict matches = faces[i].getMatches();

  for (String key : matches.keys()) {

    float likely = matches.get(key);

    println(key + ": " + likely);

  }

}

```