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# coding: utf-8 # Copyright (c) 2016, 2026, Oracle and/or its affiliates. All rights reserved. # This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license. # NOTE: This class is auto generated by OracleSDKGenerator. DO NOT EDIT. API Version: 20220125 from oci.util import formatted_flat_dict, NONE_SENTINEL, value_allowed_none_or_none_sentinel # noqa: F401 from oci.decorators import init_model_state_from_kwargs @init_model_state_from_kwargs class ImageFeature(object): """ The type of image analysis. """ #: A constant which can be used with the feature_type property of a ImageFeature. #: This constant has a value of "IMAGE_CLASSIFICATION" 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 "OBJECT_DETECTION" 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 "TEXT_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 "FACE_DETECTION" 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_EMBEDDING" FEATURE_TYPE_FACE_EMBEDDING = "FACE_EMBEDDING" def __init__(self, *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: :class:`~oci.ai_vision.models.ImageTextDetectionFeature` * :class:`~oci.ai_vision.models.FaceDetectionFeature` * :class:`~oci.ai_vision.models.FaceEmbeddingFeature` * :class:`~oci.ai_vision.models.ImageObjectDetectionFeature` * :class:`~oci.ai_vision.models.ImageClassificationFeature` The following keyword arguments are supported (corresponding to the getters/setters of this class): :param feature_type: 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'. :type feature_type: str """ self.swagger_types = { 'feature_type': 'str' } self.attribute_map = { 'feature_type': 'featureType' } self._feature_type = None @staticmethod def 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. """ type = object_dictionary['featureType'] if type == 'TEXT_DETECTION': return 'ImageTextDetectionFeature' if type == 'FACE_DETECTION': return 'FaceDetectionFeature' if type == 'FACE_EMBEDDING': return 'FaceEmbeddingFeature' if type == 'OBJECT_DETECTION': return 'ImageObjectDetectionFeature' if type == 'IMAGE_CLASSIFICATION': return 'ImageClassificationFeature' else: return 'ImageFeature' @property def feature_type(self): """ [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'. :return: The feature_type of this ImageFeature. :rtype: str """ return self._feature_type @feature_type.setter def feature_type(self, feature_type): """ Sets 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. :param feature_type: The feature_type of this ImageFeature. :type: str """ allowed_values = ["IMAGE_CLASSIFICATION", "OBJECT_DETECTION", "TEXT_DETECTION", "FACE_DETECTION", "FACE_EMBEDDING"] if not value_allowed_none_or_none_sentinel(feature_type, allowed_values): feature_type = 'UNKNOWN_ENUM_VALUE' self._feature_type = feature_type def __repr__(self): return formatted_flat_dict(self) def __eq__(self, other): if other is None: return False return self.__dict__ == other.__dict__ def __ne__(self, other): return not self == other

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