ImageFeature¶

class oci.ai_vision.models.ImageFeature(**kwargs)¶

Bases: object

The type of image analysis.

Attributes

`FEATURE_TYPE_FACE_DETECTION`	A constant which can be used with the feature_type property of a ImageFeature.
`FEATURE_TYPE_FACE_EMBEDDING`	A constant which can be used with the feature_type property of a ImageFeature.
`FEATURE_TYPE_IMAGE_CLASSIFICATION`	A constant which can be used with the feature_type property of a ImageFeature.
`FEATURE_TYPE_OBJECT_DETECTION`	A constant which can be used with the feature_type property of a ImageFeature.
`FEATURE_TYPE_TEXT_DETECTION`	A constant which can be used with the feature_type property of a ImageFeature.
`feature_type`	[Required] Gets the feature_type of this ImageFeature.

Methods

`__init__`(**kwargs)	Initializes a new ImageFeature object with values from keyword arguments.
`get_subtype`(object_dictionary)	Given the hash representation of a subtype of this class, use the info in the hash to return the class of the subtype.

FEATURE_TYPE_FACE_DETECTION = 'FACE_DETECTION'¶: A constant which can be used with the feature_type property of a ImageFeature. This constant has a value of “FACE_DETECTION”

FEATURE_TYPE_FACE_EMBEDDING = 'FACE_EMBEDDING'¶: A constant which can be used with the feature_type property of a ImageFeature. This constant has a value of “FACE_EMBEDDING”

FEATURE_TYPE_IMAGE_CLASSIFICATION = 'IMAGE_CLASSIFICATION'¶: A constant which can be used with the feature_type property of a ImageFeature. This constant has a value of “IMAGE_CLASSIFICATION”

FEATURE_TYPE_OBJECT_DETECTION = 'OBJECT_DETECTION'¶: A constant which can be used with the feature_type property of a ImageFeature. This constant has a value of “OBJECT_DETECTION”

FEATURE_TYPE_TEXT_DETECTION = 'TEXT_DETECTION'¶: A constant which can be used with the feature_type property of a ImageFeature. This constant has a value of “TEXT_DETECTION”

__init__(**kwargs)¶

Initializes a new ImageFeature object with values from keyword arguments. This class has the following subclasses and if you are using this class as input to a service operations then you should favor using a subclass over the base class:

The following keyword arguments are supported (corresponding to the getters/setters of this class):

Parameters:	feature_type (str) – The value to assign to the feature_type property of this ImageFeature. Allowed values for this property are: “IMAGE_CLASSIFICATION”, “OBJECT_DETECTION”, “TEXT_DETECTION”, “FACE_DETECTION”, “FACE_EMBEDDING”, ‘UNKNOWN_ENUM_VALUE’. Any unrecognized values returned by a service will be mapped to ‘UNKNOWN_ENUM_VALUE’.

feature_type¶

[Required] Gets the feature_type of this ImageFeature. The type of image analysis requested. The allowed values are: - IMAGE_CLASSIFICATION: Label the image. - OBJECT_DETECTION: Identify objects in the image with bounding boxes. - TEXT_DETECTION: Recognize text at the word and line level. - FACE_DETECTION: Identify faces in the image with bounding boxes and face landmarks. - FACE_EMBEDDING: Extract facial features in image as vectors with information on bounding boxes and face landmarks.

Allowed values for this property are: “IMAGE_CLASSIFICATION”, “OBJECT_DETECTION”, “TEXT_DETECTION”, “FACE_DETECTION”, “FACE_EMBEDDING”, ‘UNKNOWN_ENUM_VALUE’. Any unrecognized values returned by a service will be mapped to ‘UNKNOWN_ENUM_VALUE’.

Returns:	The feature_type of this ImageFeature.
Return type:	str

static get_subtype(object_dictionary)¶: Given the hash representation of a subtype of this class, use the info in the hash to return the class of the subtype.