Classes

DeployPretrainedModelModelObjectDetection

edgeimpulse_api.models.deploy_pretrained_model_model_object_detection.DeployPretrainedModelModelObjectDetection(
	**data: Any
)
Create a new model by parsing and validating input data from keyword arguments. Raises ValidationError if the input data cannot be parsed to form a valid model.
Parameters
**dataAny
Bases
pydantic.v1.main.BaseModel
pydantic.v1.utils.Representation
Class variables
Config
labelsList[pydantic.v1.types.StrictStr]
last_layeredgeimpulse_api.models.object_detection_last_layer.ObjectDetectionLastLayer
minimum_confidencefloat
model_typepydantic.v1.types.StrictStr

STATIC METHODS

from_dict

edgeimpulse_api.models.deploy_pretrained_model_model_object_detection.DeployPretrainedModelModelObjectDetection.from_dict(
	obj: dict
) ‑> edgeimpulse_api.models.deploy_pretrained_model_model_object_detection.DeployPretrainedModelModelObjectDetection
Create an instance of DeployPretrainedModelModelObjectDetection from a dict
Parameters
objdict
Returns
edgeimpulse_api.models.deploy_pretrained_model_model_object_detection.DeployPretrainedModelModelObjectDetection

from_json

edgeimpulse_api.models.deploy_pretrained_model_model_object_detection.DeployPretrainedModelModelObjectDetection.from_json(
	json_str: str
) ‑> edgeimpulse_api.models.deploy_pretrained_model_model_object_detection.DeployPretrainedModelModelObjectDetection
Create an instance of DeployPretrainedModelModelObjectDetection from a JSON string
Parameters
json_strstr
Returns
edgeimpulse_api.models.deploy_pretrained_model_model_object_detection.DeployPretrainedModelModelObjectDetection

model_type_validate_enum

edgeimpulse_api.models.deploy_pretrained_model_model_object_detection.DeployPretrainedModelModelObjectDetection.model_type_validate_enum(
	v
)
Parameters
v

METHODS

to_dict

edgeimpulse_api.models.deploy_pretrained_model_model_object_detection.DeployPretrainedModelModelObjectDetection.to_dict(
	self
)
Returns the dictionary representation of the model using alias
Parameters
self

to_json

edgeimpulse_api.models.deploy_pretrained_model_model_object_detection.DeployPretrainedModelModelObjectDetection.to_json(
	self,
	indent=None
) ‑> str
Returns the JSON representation of the model using alias
Parameters
self
indent=None
Returns
str

to_str

edgeimpulse_api.models.deploy_pretrained_model_model_object_detection.DeployPretrainedModelModelObjectDetection.to_str(
	self
) ‑> str
Returns the string representation of the model using alias
Parameters
self
Returns
str