nicetoolbox.detectors.method_detectors.emotion_individual.py_feat.PyFeat

class nicetoolbox.detectors.method_detectors.emotion_individual.py_feat.PyFeat(config, io, data)

Bases: BaseDetector

The Python - Facial Expression Analysis Toolbox (Py-feat) is a method detector that computes emotion_individual component

Component emotion_individual

Attributes: components (list): A list containing the name of the component: emotion_individual algorithm (st): Algorithm name used to compute the emotion_individual component. camera_names (list): A list of camera names used to capture original input data.

Initialize the PyFeat method detector with all inference preparation.

Parameters:

• config (dict) – A dictionary containing the configuration settings for

• detector. (the method) –

• io (class) – An instance of the IO class for input-output operations.

• data (class) – An instance of the Data class for accessing data.

Methods

post_inference	Post processing after inference.
run_inference
visualization	Visualizes the processed frames of the pyfeat algorithm as a video.

Attributes

algorithm
components

post_inference()

Post processing after inference.

visualization(data)

Visualizes the processed frames of the pyfeat algorithm as a video.

Returns:

None

Raises:

• AssertionError – If no frames are found for at least one camera or if

• the number of frames per camera is not consistent. –