lib.sedna.core.multi_edge_inference.plugins

Submodules

• lib.sedna.core.multi_edge_inference.plugins.registered

Package Contents

Classes

PLUGIN	Generic enumeration.
PluggableNetworkService	Abstract class to wrap a REST service.
PluggableModel	Abstract class to wrap and AI model.

Attributes

MODEL_NOT_FOUND

lib.sedna.core.multi_edge_inference.plugins.MODEL_NOT_FOUND = 'MODEL_UNKNOWN'

class lib.sedna.core.multi_edge_inference.plugins.PLUGIN

Bases: enum.Enum

Generic enumeration.

Derive from this class to define new enumerations.

REID_MANAGER = 'ReIDManager'

REID_MANAGER_I = 'ReIDManager_I'

REID = 'ReID_Server'

REID_I = 'ReID_I'

FEATURE_EXTRACTION = 'Feature_Extraction'

FEATURE_EXTRACTION_I = 'Feature_Extraction_I'

VIDEO_ANALYTICS = 'VideoAnalytics'

VIDEO_ANALYTICS_I = 'VideoAnalytics_I'

class lib.sedna.core.multi_edge_inference.plugins.PluggableNetworkService(ip, port, plugin_api: object = None)

Bases: abc.ABC

Abstract class to wrap a REST service.

class lib.sedna.core.multi_edge_inference.plugins.PluggableModel

Bases: abc.ABC

Abstract class to wrap and AI model.

property model_path

property model_name

abstract load(**kwargs)

abstract update_plugin(update_object, **kwargs)

abstract evaluate(**kwargs)

abstract train(**kwargs)

inference(data=None, post_process=None, **kwargs)

Calls the model ‘predict’ function

evaluate(data, post_process=None, **kwargs)