@datafire/aiception v3.0.0

@datafire/aiception

Client library for AIception Interactive

Installation and Usage

npm install --save @datafire/aiception

let aiception = require('@datafire/aiception').create({
  username: "",
  password: ""
});

.then(data => {
  console.log(data);
});

Description

Here you can play & test & prototype all the endpoints using just your browser! Go ahead!

Actions

adult_content.post

Creates a new adult_content task that tells the if the image has nudity or sexual content.

aiception.adult_content.post({
  "body": null
}, context)

Input

• input object
  • body required object
    • async boolean
    • image_url required string

Output

• output Task

adult_content.taskId.get

Gets the adult_content task.

aiception.adult_content.taskId.get({
  "taskId": ""
}, context)

Input

• input object
  • taskId required string: An internal id for the task

Output

• output Task

artistic_image.post

Given an image content and a style image create a new stylized image of the content.

aiception.artistic_image.post({
  "body": null
}, context)

Input

• input object
  • body required object
    • async boolean
    • image_url required string
    • style_url required string

Output

• output Task

artistic_image.taskId.get

The artistic_image will have the urls of the stylized images.

aiception.artistic_image.taskId.get({
  "taskId": ""
}, context)

Input

• input object
  • taskId required string: An internal id for the task

Output

• output Task

detect_object.post

Creates a new detect object task that recognizes the object in the image.

aiception.detect_object.post({
  "body": null
}, context)

Input

• input object
  • body required object
    • async boolean
    • image_url required string

Output

• output Task

detect_object.taskId.get

Gets the detect_object task.

aiception.detect_object.taskId.get({
  "taskId": ""
}, context)

Input

• input object
  • taskId required string: An internal id for the task

Output

• output Task

face.post

Get a list of all the locations of the faces in the image.

aiception.face.post({
  "body": null
}, context)

Input

• input object
  • body required object
    • async boolean
    • image_url required string

Output

• output Task

face.taskId.get

Gets the face task.

aiception.face.taskId.get({
  "taskId": ""
}, context)

Input

• input object
  • taskId required string: An internal id for the task

Output

• output Task

face_age.post

Creates a new face age task that approximates the age of the person in the image.

aiception.face_age.post({
  "body": null
}, context)

Input

• input object
  • body required object
    • async boolean
    • image_url required string

Output

• output Task

face_age.taskId.get

Gets the face_age task.

aiception.face_age.taskId.get({
  "taskId": ""
}, context)

Input

• input object
  • taskId required string: An internal id for the task

Output

• output Task

Definitions

AgeAnswer

• AgeAnswer object
  • max integer
  • min integer
  • score number

Person

• Person object
  • firstName string
  • lastName string
  • username required string

Persons

• Persons array
  • items Person

Task

• Task object
  • answer number: The answer you are looking for.
  • image_url required string: The url of the image that will be processed.
  • this_url string: Use this url to get this task.