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class edgeimpulse_api.models.test_pretrained_model_images_request_input.TestPretrainedModelImagesRequestInput(
**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
Bases
- pydantic.main.BaseModel
- pydantic.utils.Representation
Class variables
-
Config
The type of the None singleton.
-
input_scaling: edgeimpulse_api.models.image_input_scaling.ImageInputScaling
The type of the None singleton.
-
resize_mode: edgeimpulse_api.models.image_input_resize_mode.ImageInputResizeMode
The type of the None singleton.
Static methods
from_dict
edgeimpulse_api.models.test_pretrained_model_images_request_input.from_dict(
obj: dict
) ‑> edgeimpulse_api.models.test_pretrained_model_images_request_input.TestPretrainedModelImagesRequestInput
Create an instance of TestPretrainedModelImagesRequestInput from a dict
Parameters
Return
edgeimpulse_api.models.test_pretrained_model_images_request_input.TestPretrainedModelImagesRequestInput
from_json
edgeimpulse_api.models.test_pretrained_model_images_request_input.from_json(
json_str: str
) ‑> edgeimpulse_api.models.test_pretrained_model_images_request_input.TestPretrainedModelImagesRequestInput
Create an instance of TestPretrainedModelImagesRequestInput from a JSON string
Parameters
Return
edgeimpulse_api.models.test_pretrained_model_images_request_input.TestPretrainedModelImagesRequestInput
Methods
to_dict
edgeimpulse_api.models.test_pretrained_model_images_request_input.to_dict(
self
)
Returns the dictionary representation of the model using alias
Parameters
to_json
edgeimpulse_api.models.test_pretrained_model_images_request_input.to_json(
self,
indent=None
) ‑> str
Returns the JSON representation of the model using alias
Parameters
Return
str
to_str
edgeimpulse_api.models.test_pretrained_model_images_request_input.to_str(
self
) ‑> str
Returns the string representation of the model using alias
Parameters
Return
str