Get Model List

The get model list section demonstrates how to retrieve information about AI models that can be used to create a project through the API.

1. API endpoint

https://app.deepbrain.io/api/odin/v3/model

2. Response parameters

key	desc	type
models	Information about synthetic models	Array(json)
models[].id	Unique key of the AI model	String
models[].label	Name information of the AI model	Json
models[].label.ko	Korean notation	String
models[].label.en	English notation	String
models[].thumbnail	Image path for previewing the model	String
models[].clothes	Clothes information	Array(json)
models[].clothes[].id	Clothes that the AI Model will wear.	String
models[].clothes[].label	Name of clothes	Json
models[].clothes[].label.ko	Korean notation	String
models[].clothes[].label.en	English notation	String
models[].clothes[].thumbnail	Image path for previewing the clothes	String

3. Sample Request

cURL

curl https://app.deepbrain.io/api/odin/v3/model  \
-H "Authorization: ${API KEY}" \
-H "Content-Type: application/json" \
-X GET

Node.js

import axios from "axios"; 
const token = ${API KEY};

axios.get(`https://app.deepbrain.io/api/odin/v3/model`, 
  {
    headers: {
      'Authorization': `${token}`,
      'Content-Type': 'application/json'
    }
  }
)
.then((res) => {
  console.log(res.data);
})
.catch((error) => {
  console.error(error);
})

Python

import requests
import json

url = "https://app.deepbrain.io/api/odin/v3/model"

headers = {
  "Content-Type": "application/json",
  "Authorization": ${API TOKEN}
}

r = requests.get(url, headers=headers)