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Implementación de reconocimiento facial y de estados de animo usando la API cognitiva de Microsoft sobre nodejs

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Face Recognition Microsoft NodeJS

Implementación de reconocimiento facial y de estados de animo usando la API cognitiva de Microsoft sobre nodejs usando expressjs.

Para el uso de la aplicacion se debe obtener un token de la API Cognitiva de Microsoft desde el siguiente sitio (Face):

https://azure.microsoft.com/en-us/try/cognitive-services/

Para usar la API se debe enviar una imagen en formato base64 como un json como el siguiente ejemplo:

{
"imagen": "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"
}

la respuesta de la API contendrá:

[
    {
        "faceId": "6dd6b8d7-416d-46f9-a5e6-01af33edd788",
        "faceRectangle": {
            "top": 148,
            "left": 138,
            "width": 144,
            "height": 144
        },
        "faceAttributes": {
            "smile": 0,
            "headPose": {
                "pitch": 0,
                "roll": -4.4,
                "yaw": -4
            },
            "gender": "male",
            "age": 38,
            "facialHair": {
                "moustache": 0.6,
                "beard": 0.4,
                "sideburns": 0.4
            },
            "glasses": "NoGlasses",
            "emotion": {
                "anger": 0,
                "contempt": 0,
                "disgust": 0,
                "fear": 0,
                "happiness": 0,
                "neutral": 0.993,
                "sadness": 0.007,
                "surprise": 0
            },
            "blur": {
                "blurLevel": "medium",
                "value": 0.54
            },
            "exposure": {
                "exposureLevel": "goodExposure",
                "value": 0.34
            },
            "noise": {
                "noiseLevel": "low",
                "value": 0
            },
            "makeup": {
                "eyeMakeup": false,
                "lipMakeup": false
            },
            "accessories": [],
            "occlusion": {
                "foreheadOccluded": false,
                "eyeOccluded": false,
                "mouthOccluded": false
            },
            "hair": {
                "bald": 0.05,
                "invisible": false,
                "hairColor": [
                    {
                        "color": "black",
                        "confidence": 0.99
                    },
                    {
                        "color": "brown",
                        "confidence": 0.92
                    },
                    {
                        "color": "other",
                        "confidence": 0.4
                    },
                    {
                        "color": "gray",
                        "confidence": 0.33
                    },
                    {
                        "color": "red",
                        "confidence": 0.1
                    },
                    {
                        "color": "blond",
                        "confidence": 0.03
                    }
                ]
            }
        }
    }
]

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Implementación de reconocimiento facial y de estados de animo usando la API cognitiva de Microsoft sobre nodejs

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