cyto_dl.nn.head.mae_head module# class cyto_dl.nn.head.mae_head.MAEHead(loss, postprocess={'input': <function detach>, 'prediction': <function detach>})[source]# Bases: BaseHead Parameters: loss – Loss function for task postprocess={“input” (detach, “prediction”: detach}) – Postprocessing for input and predictions of head run_head(backbone_features, batch, stage, n_postprocess=1, run_forward=True, y_hat=None)[source]# Run head on backbone features, calculate loss, postprocess and save image, and calculate metrics.