nicetoolbox.detectors.feature_detectors.base_feature.BaseFeature¶

class nicetoolbox.detectors.feature_detectors.base_feature.BaseFeature(io, data, sequence_context, algorithm_instance: str)[source]¶

Abstract base class for feature detectors.

Feature detectors run in-process, computing derived features from method detector outputs.

Initialize base detector with references.

Subclasses should call super().__init__() and set inference_config.

Methods

`compute`	Compute the feature from method detector outputs.
`compute_output_folders`	Compute extra output folders for all components.
`compute_result_folders`	Compute result folders for all components.
`compute_viz_folders`	Compute visualization folders for all components.
`get_input_file`	Get the input file path for a specific upstream detector.
`run`	Execute feature detector: compute() + post_compute().
`visualization`	Visualize detector output.

Attributes

`predictions_mapping`	Access predictions mapping from runtime config.
`requires_out_folder`
`algorithm_type`
`data`
`io`
`sequence_context`
`detector_config`
`algorithm_instance`
`inference_config`
`components`
`visualize`

abstract compute() → Any[source]¶

Compute the feature from method detector outputs.

compute_output_folders(requires_out_folder: bool) → Dict[str, str]¶: Compute extra output folders for all components.

compute_result_folders() → Dict[str, str]¶: Compute result folders for all components.

compute_viz_folders(visualize: bool) → Dict[str, str]¶: Compute visualization folders for all components.

get_input_file(component: str, algorithm: str) → Path[source]¶

Get the input file path for a specific upstream detector.

Parameters:

Returns:

Path to the .npz result file

property predictions_mapping¶: Access predictions mapping from runtime config.

run() → Any[source]¶

Execute feature detector: compute() + post_compute().

Returns computed data for visualization.

abstract visualization(data: Any) → None¶

Visualize detector output.