[x] IBA.heatmap rename to IBA.analyze. Add flag to switch between saliency_map (in bits, channels summed, scaled to input image) or capacity (in bits, not summed, not scaled)
[x] IBA.supress_information rename to IBA.restrict_flow
[x] IBA.__init__ add estimator=None parameter
[x] IBA.__init__ add feature_mean_std=None parameter which takes a tuple(mean, std)
[x] IBA._init rename to IBA._build: make clear that it is different to __init__
A few remarks to the PyTorch IBA API:
IBA.heatmaprename toIBA.analyze. Add flag to switch betweensaliency_map(in bits, channels summed, scaled to input image) orcapacity(in bits, not summed, not scaled)IBA.supress_informationrename toIBA.restrict_flowIBA.__init__addestimator=NoneparameterIBA.__init__addfeature_mean_std=Noneparameter which takes atuple(mean, std)IBA._initrename toIBA._build: make clear that it is different to__init__