VideoFeature

class oci.ai_vision.models.VideoFeature(**kwargs)

Bases: object

Details about a video feature request.

Attributes

FEATURE_TYPE_FACE_DETECTION A constant which can be used with the feature_type property of a VideoFeature.
FEATURE_TYPE_LABEL_DETECTION A constant which can be used with the feature_type property of a VideoFeature.
FEATURE_TYPE_OBJECT_DETECTION A constant which can be used with the feature_type property of a VideoFeature.
FEATURE_TYPE_OBJECT_TRACKING A constant which can be used with the feature_type property of a VideoFeature.
FEATURE_TYPE_TEXT_DETECTION A constant which can be used with the feature_type property of a VideoFeature.
feature_type [Required] Gets the feature_type of this VideoFeature.

Methods

__init__(**kwargs) Initializes a new VideoFeature 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 VideoFeature. This constant has a value of “FACE_DETECTION”

FEATURE_TYPE_LABEL_DETECTION = 'LABEL_DETECTION'

A constant which can be used with the feature_type property of a VideoFeature. This constant has a value of “LABEL_DETECTION”

FEATURE_TYPE_OBJECT_DETECTION = 'OBJECT_DETECTION'

A constant which can be used with the feature_type property of a VideoFeature. This constant has a value of “OBJECT_DETECTION”

FEATURE_TYPE_OBJECT_TRACKING = 'OBJECT_TRACKING'

A constant which can be used with the feature_type property of a VideoFeature. This constant has a value of “OBJECT_TRACKING”

FEATURE_TYPE_TEXT_DETECTION = 'TEXT_DETECTION'

A constant which can be used with the feature_type property of a VideoFeature. This constant has a value of “TEXT_DETECTION”

__init__(**kwargs)

Initializes a new VideoFeature 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 VideoFeature. Allowed values for this property are: “LABEL_DETECTION”, “OBJECT_DETECTION”, “TEXT_DETECTION”, “FACE_DETECTION”, “OBJECT_TRACKING”, ‘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 VideoFeature. The feature of video analysis. Allowed values are: - LABEL_DETECTION: Label detection feature(IC). - OBJECT_DETECTION: Object detection feature(OD). - TEXT_DETECTION: Text detection feature(OCR). - FACE_DETECTION: Face detection feature(fd). - OBJECT_TRACKING: Object tracking feature(OT).

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

Returns:The feature_type of this VideoFeature.
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.