1.2 /identity/multiface_image_omni_verification/stateless

Compare the two photos with multiple faces included and uploaded through the interface to get the similarity score of each pair of faces in the two photos.

For photo standards, refer to Chapter 3 Photo and Video Standards in the Operation Manual.

Request mode

POST

Request URL

http://ip:port/identity/multiface_image_omni_verification/stateless

Request parameters

Name	Type	Required	Description
first_encrypted_image	string	Yes	Encrypted photo 1. Encryption method reference: [Photo and Video Encryption]
second_encrypted_image	string	Yes	Encrypted photo 2. Encryption method reference: [Photo and Video Encryption]
auto_rotate	boolean	No	The default value is false, indicating that the photo is not rotated. When the value is true, the photo is automatically rotated.

Normal response

Name	Type	Description
code	int	System response code: 1000
scores	array	The face comparison score of each group of photos is from 0-1. The greater the value, the greater the probability that the two faces belong to the same person.
face_rects	hash	Face frame in each photo
request_id	string	The ID of this request

For example:

Suppose that Photo A corresponding to first_image_file contains two faces (a1, a2); Photo B corresponding to second_image_file contains two faces (b1, b2); a1b1 represents the comparison score of face a1 in Photo A and face b1 in Photo B. The response is like:

{
    "code": 1000,
    "scores": [ # [[a1b1 face comparison score, a1b2 face comparison score] [a2b1 face comparison score, a2b2 face comparison score]]
        [
            float,
            float,
            float,
            float
        ]
    ],
    "face_rects": { # face frame in each image
        "first_image_face_rects": [ # [[a1 face frame coordinates],[a2 face frame coordinates]]
            [
                int,
                int,
                int,
                int
            ],
            [
                int,
                int,
                int,
                int
            ]
        ],
        "second_image_face_rects": [ # [[b1 face frame coordinates],[b2 face frame coordinates]]
            [
                int,
                int,
                int,
                int
            ],
            [
                int,
                int,
                int,
                int
            ]
        ]
    },
    "request_id": "2c4156bb47794f66a2ed50d5a87e5ca2"
}

Correlations between the verification score threshold and the error rate:

Threshold	0.4	0.5	0.6	0.7	0.8	0.9
error rate	1/10	1/100	1/1000	1/10,000	1/100,000	1/1,000,000

Recommended threshold: greater than 0.7.

Abnormal response

Name	Type	Description
code	int	System response code
message	string	Error Messages
request_id	string	The ID of this request

{
    "code": int,
    "message": string,
    "request_id": string
}

System response code

code	Field value	Description
1200	invalid argument	Invalid input parameter
2003	invalid image size	The image size (height and width in pixel) does not meet the requirements
2004	invalid content length	The image file size does not meet the requirements
2005	invalid image type or corrupted	The image type does not meet the requirements
2006	corrupted image error	Image corrupted
4000	detection failed	Feature extraction failed, no face detected in the image

Possible HTTP status codes

status	Description
400	BAD_REQUEST
404	NOT_FOUND
411	LENGTH_REQUIRED
413	PAYLOAD_TOO_LARGE
500	INTERNAL_ERROR

Sample

Curl

curl -X POST "http://ip:port/identity/multiface_image_omni_verification/stateless" \
  -d first_encrypted_image=xxx \
  -d second_encrypted_image=xxx \
  -d auto_rotate=true

Java

import java.io.BufferedReader;
import java.io.InputStreamReader;
import java.nio.file.Files;
import java.nio.file.Paths;
import java.util.ArrayList;
import java.util.List;

import org.apache.http.HttpEntity;
import org.apache.http.NameValuePair;
import org.apache.http.client.entity.UrlEncodedFormEntity;
import org.apache.http.HttpResponse;
import org.apache.http.client.methods.HttpPost;
import org.apache.http.impl.client.CloseableHttpClient;
import org.apache.http.impl.client.HttpClients;
import org.apache.http.message.BasicNameValuePair;
import org.apache.http.util.EntityUtils;

public class HttpClient {
    public static final String POST_URL = "http://127.0.0.1:3000/identity/multiface_image_omni_verification/stateless";
    private static AESCipher cipher = new AESCipher("dcbbad6765e14139a07d34b92292a672", "df25d188a061");

    public static void Post() throws Exception {
        CloseableHttpClient httpclient = HttpClients.createDefault();
        HttpPost post = new HttpPost(POST_URL);

        List<NameValuePair> params = new ArrayList<>();

        String firstEncryptedImage = cipher.encrypt(
                Files.readAllBytes(Paths.get("src/main/resources/face_01.jpg")));
        String secondEncryptedImage = cipher.encrypt(
                Files.readAllBytes(Paths.get("src/main/resources/face_02.jpg")));

        params.add(new BasicNameValuePair("first_encrypted_image", firstEncryptedImage));
        params.add(new BasicNameValuePair("second_encrypted_image", secondEncryptedImage));

        post.setEntity(new UrlEncodedFormEntity(params));
        HttpResponse response = httpclient.execute(post);

        if (response.getStatusLine().getStatusCode() == 200) {
            HttpEntity respEntity = response.getEntity();
            BufferedReader reader = new BufferedReader(new InputStreamReader(respEntity.getContent()));
            String line = reader.readLine();
            System.out.println(line);
        } else {
            HttpEntity respEntity = response.getEntity();
            String responseString = EntityUtils.toString(respEntity);
            System.out.println("error:" + response.getStatusLine().getStatusCode()
                    + "  " + response.getStatusLine().getReasonPhrase());
            System.out.println("cause of error:" +responseString);
        }
    }

    public static void main(String[] args) throws Exception {
        Post();
    }
}