Attributes Evaluation

To identify the status of certain parameters, for example, whether the person in the photo is wearing a medical mask, glasses, head coverage, etc., you can evaluate attributes. Find the exhaustive information on the Attributes Evaluation page in the Web Service section.

Request

SwiftObjective-CKotlinJavaReact NativeFlutterCordovaIonic

let configuration = DetectFacesConfiguration()

configuration.attributes = [
  .emotion,
  .age,
  .glasses
]

let detectFacesRequest = DetectFacesRequest(image: image,
                                    configuration: configuration)

RFSDetectFacesConfiguration *configuration = [[RFSDetectFacesConfiguration alloc] init];

[configuration setAttributes:@[
  RFSDetectFacesAttributeEmotion,
  RFSDetectFacesAttributeAge,
  RFSDetectFacesAttributeGlasses,
]];

RFSDetectFacesRequest *detectFacesRequest = [[RFSDetectFacesRequest alloc] initWithImage:image
                                                                           configuration:configuration];

val configuration = DetectFacesConfiguration()

configuration.setAttributes(
    listOf(
        DetectFacesAttribute.EMOTION,
        DetectFacesAttribute.AGE,
        DetectFacesAttribute.GLASSES
    )
)

val detectFacesRequest = DetectFacesRequest(bitmap, configuration)

DetectFacesConfiguration configuration = new DetectFacesConfiguration();

configuration.setAttributes(Arrays.asList(DetectFacesAttribute.EMOTION,
        DetectFacesAttribute.AGE,
        DetectFacesAttribute.GLASSES));

DetectFacesRequest detectFacesRequest = new DetectFacesRequest(bitmap, configuration);

let configuration = new DetectFacesConfiguration()
configuration.attributes = [
  DetectFacesAttribute.EMOTION,
  DetectFacesAttribute.AGE,
  DetectFacesAttribute.GLASSES,
]

let detectFacesRequest = new DetectFacesRequest()
detectFacesRequest.image = bitmap
detectFacesRequest.configuration = configuration

var configuration = new DetectFacesConfiguration();
configuration.attributes = [
  DetectFacesAttribute.EMOTION,
  DetectFacesAttribute.AGE,
  DetectFacesAttribute.GLASSES,
];

var detectFacesRequest = new DetectFacesRequest();
detectFacesRequest.image = bitmap;
detectFacesRequest.configuration = configuration;

configuration = new DetectFacesConfiguration()
configuration.attributes = [
    Enum.DetectFacesAttribute.EMOTION,
    Enum.DetectFacesAttribute.AGE,
    Enum.DetectFacesAttribute.GLASSES,
]

detectFacesRequest = new DetectFacesRequest()
detectFacesRequest.image = bitmap
detectFacesRequest.configuration = configuration

let configuration = new DetectFacesConfiguration()
configuration.attributes = [
  DetectFacesAttribute.EMOTION,
  DetectFacesAttribute.AGE,
  DetectFacesAttribute.GLASSES,
]

let detectFacesRequest = new DetectFacesRequest()
detectFacesRequest.image = bitmap
detectFacesRequest.configuration = configuration

Response

SwiftObjective-CKotlinJavaReact NativeFlutterCordovaIonic

detectFacesResponse.detection?.attributes?.forEach { attributeResult in
  let value = attributeResult.value
  let attribute = attributeResult.attribute
  let confidence = attributeResult.confidence
  let range = attributeResult.range
}

for (RFSDetectFacesAttributeResult *attributeResult in detectFaceResponse.detection.attributes) {
  RFSDetectFacesAttribute attribute = attributeResult.attribute;
  NSString *value = attributeResult.value;
  RFSImageQualityRange *range = attributeResult.range;
  NSNumber *confidence = attributeResult.confidence;
}

for (facesAttribute in detectFacesResponse.detection?.attributes!!) {
    val value = facesAttribute.value
    val attribute = facesAttribute.attribute
    val confidence = facesAttribute.confidence
    val range = facesAttribute.range
}

for (DetectFacesAttributeResult facesAttribute : detectFacesResponse.getDetection().getAttributes()) {
    String value = facesAttribute.getValue();
    DetectFacesAttribute attribute = facesAttribute.getAttribute();
    Double confidence = facesAttribute.getConfidence();
    ImageQualityRange range = facesAttribute.getRange();
}

FaceSDK.detectFaces(JSON.stringify(detectFacesRequest), raw => {
  let detectFacesResponse = DetectFacesResponse.fromJson(JSON.parse(raw))
  detectFacesResponse.detection?.attributes?.forEach((attributeResult) => {
    let value = attributeResult.value
    let attribute = attributeResult.attribute
    let confidence = attributeResult.confidence
    let range = attributeResult.range
  })
}, e => { })

FaceSDK.detectFaces(jsonEncode(detectFacesRequest)).then((raw) {
  var detectFacesResponse = DetectFacesResponse.fromJson(jsonDecode(raw));
  detectFacesResponse?.detection?.attributes.forEach((attributeResult) {
    var value = attributeResult?.value;
    var attribute = attributeResult?.attribute;
    var confidence = attributeResult?.confidence;
    var range = attributeResult?.range;
  });
});

FaceSDK.detectFaces(JSON.stringify(detectFacesRequest), raw => {
    detectFacesResponse = DetectFacesResponse.fromJson(JSON.parse(raw))
    detectFacesResponse.detection?.attributes?.forEach((attributeResult) => {
        value = attributeResult.value
        attribute = attributeResult.attribute
        confidence = attributeResult.confidence
        range = attributeResult.range
    })
}, e => { })

  FaceSDK.detectFaces(JSON.stringify(detectFacesRequest)).then(raw => {
    let detectFacesResponse = DetectFacesResponse.fromJson(JSON.parse(raw))
    detectFacesResponse.detection?.attributes?.forEach((attributeResult) => {
      let value = attributeResult.value
      let attribute = attributeResult.attribute
      let confidence = attributeResult.confidence
      let range = attributeResult.range
    })
  })