class Performer[source]

Performer(model, transform_pipelines:dict=None)

Performer.describe_pipeline_of_type[source]

Performer.describe_pipeline_of_type(pipeline_type:str)

Describes a configured transform pipeline. Can be a string of "type", "item", or "batch".

Transforms are then described as:

Transform Name: `Resize`
Supported input types:
  - `PIL.Image.Image`
  - `fastai.vision.core.TensorBBox`
  - `fastai.vision.core.TensorPoint`
Has different behavior on test set:
  - Yes

if it is a fastai transform, else:

Transform Name: `function_name`