Face API - v1.0-preview

This API is currently available in:

  • Australia East - australiaeast.api.cognitive.microsoft.com
  • Brazil South - brazilsouth.api.cognitive.microsoft.com
  • Canada Central - canadacentral.api.cognitive.microsoft.com
  • Central India - centralindia.api.cognitive.microsoft.com
  • Central US - centralus.api.cognitive.microsoft.com
  • East Asia - eastasia.api.cognitive.microsoft.com
  • East US - eastus.api.cognitive.microsoft.com
  • East US 2 - eastus2.api.cognitive.microsoft.com
  • France Central - francecentral.api.cognitive.microsoft.com
  • Germany West Central - germanywestcentral.api.cognitive.microsoft.com
  • Italy North - italynorth.api.cognitive.microsoft.com
  • Japan East - japaneast.api.cognitive.microsoft.com
  • Japan West - japanwest.api.cognitive.microsoft.com
  • Jio India West - jioindiawest.api.cognitive.microsoft.com
  • Korea Central - koreacentral.api.cognitive.microsoft.com
  • North Central US - northcentralus.api.cognitive.microsoft.com
  • North Europe - northeurope.api.cognitive.microsoft.com
  • Norway East - norwayeast.api.cognitive.microsoft.com
  • Qatar Central - qatarcentral.api.cognitive.microsoft.com
  • South Africa North - southafricanorth.api.cognitive.microsoft.com
  • South Central US - southcentralus.api.cognitive.microsoft.com
  • Southeast Asia - southeastasia.api.cognitive.microsoft.com
  • Sweden Central - swedencentral.api.cognitive.microsoft.com
  • Switzerland North - switzerlandnorth.api.cognitive.microsoft.com
  • Switzerland West - switzerlandwest.api.cognitive.microsoft.com
  • UAE North - uaenorth.api.cognitive.microsoft.com
  • UK South - uksouth.api.cognitive.microsoft.com
  • West Central US - westcentralus.api.cognitive.microsoft.com
  • West Europe - westeurope.api.cognitive.microsoft.com
  • West US - westus.api.cognitive.microsoft.com
  • West US 2 - westus2.api.cognitive.microsoft.com
  • West US 3 - westus3.api.cognitive.microsoft.com

LargeFaceList - Get Training Status

To check the large face list training status completed or still ongoing. LargeFaceList Training is an asynchronous operation triggered by LargeFaceList - Train API.
Training time depends on the number of face entries in a large face list. It could be in seconds, or up to half an hour for 1,000,000 faces.

Http Method

GET

Select the testing console in the region where you created your resource:

Open API testing console

Request URL

Request parameters

string

largeFaceListId of the target large face list.

Request headers

string
Subscription key which provides access to this API. Found in your Cognitive Services accounts.

Request body

Response 200

A successful call returns the large face list's training status.

JSON fields in response body:

Fields Type Description
status String Training status: notstarted, running, succeeded, failed. If the large face list has never been trained before, the status is notstarted. If the training is ongoing, the status is running. Status succeed means this large face list is ready for Face - Find Similar. Status failed is often caused by no persisted face exist in the large face list.
createdDateTime String A combined UTC date and time string that describes the last time when the large face list is requested to train. E.g. 2018-10-15T11:51:27.6872495Z.
lastActionDateTime String A combined UTC date and time string that describes the last time the large face list's training status was modifed. E.g. 2018-10-15T11:51:27.8705696Z.
lastSuccessfulTrainingDateTime String A combined UTC date and time string that describes the large face list's last successful training time. E.g. 2018-10-15T11:51:27.8705696Z.
message String Show failure message when training failed (omitted when training succeed). 

{
    "status": "succeeded",
    "createdDateTime": "2018-10-15T11:51:27.6872495Z",
    "lastActionDateTime": "2018-10-15T11:51:27.8705696Z",
    "lastSuccessfulTrainingDateTime": "2018-10-15T11:51:27.8705696Z",
    "message": null
}

Response 401

Error code and message returned in JSON:

Error Code Error Message Description
Unspecified Access denied due to invalid subscription key. Make sure you are subscribed to an API you are trying to call and provide the right key. 

{
    "error": {
        "code": "Unspecified",
        "message": "Access denied due to invalid subscription key. Make sure you are subscribed to an API you are trying to call and provide the right key."
    }
}

Response 403

{
    "error": {
        "statusCode": 403,
        "message": "Out of call volume quota. Quota will be replenished in 2 days."
    }
}

Response 404

Error code and message returned in JSON:

Error Code Error Message Description
LargeFaceListNotFound Large face list is not found.
LargeFaceListNotFound Large face list ID is invalid.
LargeFaceListNotTrained Large face list not trained. This error appears on getting training status of a large face list which never been trained. 

{
    "error": {
        "code": "LargeFaceListNotFound",
        "message": "Large face list is not found."
    }
}

Response 429

{
    "error": {
        "statusCode": 429,
        "message": "Rate limit is exceeded. Try again in 26 seconds."
    }
}

Code samples

@ECHO OFF

curl -v -X GET "https://*.cognitiveservices.azure.com/face/v1.0-preview/largefacelists/{largeFaceListId}/training"
-H "Ocp-Apim-Subscription-Key: {subscription key}"

--data-ascii "{body}" 

using System;
using System.Net.Http.Headers;
using System.Text;
using System.Net.Http;
using System.Web;

namespace CSHttpClientSample
{
    static class Program
    {
        static void Main()
        {
            MakeRequest();
            Console.WriteLine("Hit ENTER to exit...");
            Console.ReadLine();
        }
        
        static async void MakeRequest()
        {
            var client = new HttpClient();
            var queryString = HttpUtility.ParseQueryString(string.Empty);

            // Request headers
            client.DefaultRequestHeaders.Add("Ocp-Apim-Subscription-Key", "{subscription key}");

            var uri = "https://*.cognitiveservices.azure.com/face/v1.0-preview/largefacelists/{largeFaceListId}/training?" + queryString;

            var response = await client.GetAsync(uri);
        }
    }
}	
// // This sample uses the Apache HTTP client from HTTP Components (http://hc.apache.org/httpcomponents-client-ga/)
import java.net.URI;
import org.apache.http.HttpEntity;
import org.apache.http.HttpResponse;
import org.apache.http.client.HttpClient;
import org.apache.http.client.methods.HttpGet;
import org.apache.http.client.utils.URIBuilder;
import org.apache.http.impl.client.HttpClients;
import org.apache.http.util.EntityUtils;

public class JavaSample 
{
    public static void main(String[] args) 
    {
        HttpClient httpclient = HttpClients.createDefault();

        try
        {
            URIBuilder builder = new URIBuilder("https://*.cognitiveservices.azure.com/face/v1.0-preview/largefacelists/{largeFaceListId}/training");


            URI uri = builder.build();
            HttpGet request = new HttpGet(uri);
            request.setHeader("Ocp-Apim-Subscription-Key", "{subscription key}");


            // Request body
            StringEntity reqEntity = new StringEntity("{body}");
            request.setEntity(reqEntity);

            HttpResponse response = httpclient.execute(request);
            HttpEntity entity = response.getEntity();

            if (entity != null) 
            {
                System.out.println(EntityUtils.toString(entity));
            }
        }
        catch (Exception e)
        {
            System.out.println(e.getMessage());
        }
    }
}


<!DOCTYPE html>
<html>
<head>
    <title>JSSample</title>
    <script src="http://ajax.googleapis.com/ajax/libs/jquery/1.9.0/jquery.min.js"></script>
</head>
<body>

<script type="text/javascript">
    $(function() {
        var params = {
            // Request parameters
        };
      
        $.ajax({
            url: "https://*.cognitiveservices.azure.com/face/v1.0-preview/largefacelists/{largeFaceListId}/training?" + $.param(params),
            beforeSend: function(xhrObj){
                // Request headers
                xhrObj.setRequestHeader("Ocp-Apim-Subscription-Key","{subscription key}");
            },
            type: "GET",
            // Request body
            data: "{body}",
        })
        .done(function(data) {
            alert("success");
        })
        .fail(function() {
            alert("error");
        });
    });
</script>
</body>
</html>

#import <Foundation/Foundation.h>

int main(int argc, const char * argv[])
{
    NSAutoreleasePool * pool = [[NSAutoreleasePool alloc] init];
    
    NSString* path = @"https://*.cognitiveservices.azure.com/face/v1.0-preview/largefacelists/{largeFaceListId}/training";
    NSArray* array = @[
                         // Request parameters
                         @"entities=true",
                      ];
    
    NSString* string = [array componentsJoinedByString:@"&"];
    path = [path stringByAppendingFormat:@"?%@", string];

    NSLog(@"%@", path);

    NSMutableURLRequest* _request = [NSMutableURLRequest requestWithURL:[NSURL URLWithString:path]];
    [_request setHTTPMethod:@"GET"];
    // Request headers
    [_request setValue:@"{subscription key}" forHTTPHeaderField:@"Ocp-Apim-Subscription-Key"];
    // Request body
    [_request setHTTPBody:[@"{body}" dataUsingEncoding:NSUTF8StringEncoding]];
    
    NSURLResponse *response = nil;
    NSError *error = nil;
    NSData* _connectionData = [NSURLConnection sendSynchronousRequest:_request returningResponse:&response error:&error];

    if (nil != error)
    {
        NSLog(@"Error: %@", error);
    }
    else
    {
        NSError* error = nil;
        NSMutableDictionary* json = nil;
        NSString* dataString = [[NSString alloc] initWithData:_connectionData encoding:NSUTF8StringEncoding];
        NSLog(@"%@", dataString);
        
        if (nil != _connectionData)
        {
            json = [NSJSONSerialization JSONObjectWithData:_connectionData options:NSJSONReadingMutableContainers error:&error];
        }
        
        if (error || !json)
        {
            NSLog(@"Could not parse loaded json with error:%@", error);
        }
        
        NSLog(@"%@", json);
        _connectionData = nil;
    }
    
    [pool drain];

    return 0;
}

<?php
// This sample uses the Apache HTTP client from HTTP Components (http://hc.apache.org/httpcomponents-client-ga/)
require_once 'HTTP/Request2.php';

$request = new Http_Request2('https://*.cognitiveservices.azure.com/face/v1.0-preview/largefacelists/{largeFaceListId}/training');
$url = $request->getUrl();

$headers = array(
    // Request headers
    'Ocp-Apim-Subscription-Key' => '{subscription key}',
);

$request->setHeader($headers);

$parameters = array(
    // Request parameters
);

$url->setQueryVariables($parameters);

$request->setMethod(HTTP_Request2::METHOD_GET);

// Request body
$request->setBody("{body}");

try
{
    $response = $request->send();
    echo $response->getBody();
}
catch (HttpException $ex)
{
    echo $ex;
}

?>
########### Python 2.7 #############
import httplib, urllib, base64

headers = {
    # Request headers
    'Ocp-Apim-Subscription-Key': '{subscription key}',
}

params = urllib.urlencode({
})

try:
    conn = httplib.HTTPSConnection('*.cognitiveservices.azure.com')
    conn.request("GET", "/face/v1.0-preview/largefacelists/{largeFaceListId}/training?%s" % params, "{body}", headers)
    response = conn.getresponse()
    data = response.read()
    print(data)
    conn.close()
except Exception as e:
    print("[Errno {0}] {1}".format(e.errno, e.strerror))

####################################

########### Python 3.2 #############
import http.client, urllib.request, urllib.parse, urllib.error, base64

headers = {
    # Request headers
    'Ocp-Apim-Subscription-Key': '{subscription key}',
}

params = urllib.parse.urlencode({
})

try:
    conn = http.client.HTTPSConnection('*.cognitiveservices.azure.com')
    conn.request("GET", "/face/v1.0-preview/largefacelists/{largeFaceListId}/training?%s" % params, "{body}", headers)
    response = conn.getresponse()
    data = response.read()
    print(data)
    conn.close()
except Exception as e:
    print("[Errno {0}] {1}".format(e.errno, e.strerror))

####################################
require 'net/http'

uri = URI('https://*.cognitiveservices.azure.com/face/v1.0-preview/largefacelists/{largeFaceListId}/training')
uri.query = URI.encode_www_form({
})

request = Net::HTTP::Get.new(uri.request_uri)
# Request headers
request['Ocp-Apim-Subscription-Key'] = '{subscription key}'
# Request body
request.body = "{body}"

response = Net::HTTP.start(uri.host, uri.port, :use_ssl => uri.scheme == 'https') do |http|
    http.request(request)
end

puts response.body