File: //proc/self/root/lib/mysqlsh/lib/python3.8/site-packages/oci/ai_vision/models/image_feature.py
# coding: utf-8
# Copyright (c) 2016, 2025, 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"
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.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", '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 == '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.
Allowed values for this property are: "IMAGE_CLASSIFICATION", "OBJECT_DETECTION", "TEXT_DETECTION", "FACE_DETECTION", '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.
:param feature_type: The feature_type of this ImageFeature.
:type: str
"""
allowed_values = ["IMAGE_CLASSIFICATION", "OBJECT_DETECTION", "TEXT_DETECTION", "FACE_DETECTION"]
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