Face Detection

The face detection API detects faces and returns their coordinates as well as the gender. It functions similarly to the face recognition API except that it does not perform recognition. Also note that the recognition API does not return gender predictions.

Example

const request = require("request")
const fs = require("fs")

image_stream = fs.createReadStream("family.jpg")

var form = {"image":image_stream}

request.post({url:"http://localhost:80/v1/vision/face", formData:form},function(err,res,body){

    response = JSON.parse(body)
    predictions = response["predictions"]
    for(var i =0; i < predictions.length; i++){

        console.log(predictions[i]["gender"])

    }

    console.log(response)
})

Result

female
male
male
female
{ success: true,
predictions:
[ { confidence: 0.99999213,
   gender: 'female',
   y_min: 174,
   x_min: 534,
   y_max: 303,
   x_max: 629 },
 { confidence: 0.6611953,
   gender: 'male',
   y_min: 146,
   x_min: 616,
   y_max: 275,
   x_max: 711 },
 { confidence: 0.99884146,
   gender: 'male',
   y_min: 147,
   x_min: 729,
   y_max: 259,
   x_max: 811 },
 { confidence: 0.99997365,
   gender: 'female',
   y_min: 190,
   x_min: 471,
   y_max: 290,
   x_max: 549 } ] }

Using the face coordinates, we shall use the Easy Image library to extract the faces and save them

const request = require("request")
const fs = require("fs")
const easyimage = require("easyimage")

image_stream = fs.createReadStream("family.jpg")

var form = {"image":image_stream}

request.post({url:"http://localhost:80/v1/vision/face", formData:form},function(err,res,body){

    response = JSON.parse(body)
    predictions = response["predictions"]
    for(var i =0; i < predictions.length; i++){

        pred = predictions[i]
        gender = pred["gender"]
        y_min = pred["y_min"]
        x_min = pred["x_min"]
        y_max = pred["y_max"]
        x_max = pred["x_max"]

        easyimage.crop(
            {
            src: "family.jpg",
            dst: i.toString() + "_" + gender+"_.jpg",
            x: x_min,
            cropwidth: x_max - x_min,
            y: y_min,
            cropheight: y_max - y_min,
            }
        )

    }
})

Result