diff --git a/bob/bio/base/algorithm/BIC.py b/bob/bio/base/algorithm/BIC.py index 2348e5cdbf5a6df9a73b74ce71b6e50abd910fa0..c15b5e58c04ec064db1c14886e4e1febc8799326 100644 --- a/bob/bio/base/algorithm/BIC.py +++ b/bob/bio/base/algorithm/BIC.py @@ -73,8 +73,7 @@ class BIC(Algorithm): ): # call base class function and register that this tool requires training for the enrollment - Algorithm.__init__( - self, + super(BIC, self).__init__( requires_enroller_training=True, comparison_function=str(comparison_function), diff --git a/bob/bio/base/algorithm/Distance.py b/bob/bio/base/algorithm/Distance.py index efde5502b15a6f60701c477a7b03bb92d743f6d0..f902dcd25c559204b8ab331eb05a0f0e97f9a17d 100644 --- a/bob/bio/base/algorithm/Distance.py +++ b/bob/bio/base/algorithm/Distance.py @@ -37,8 +37,7 @@ class Distance (Algorithm): ): # call base class constructor and register that the algorithm performs a projection - Algorithm.__init__( - self, + super(Distance, self).__init__( distance_function = str(distance_function), is_distance_function = is_distance_function, diff --git a/bob/bio/base/algorithm/LDA.py b/bob/bio/base/algorithm/LDA.py index 745092d0ddfa26fe19bd3ac79de8085c29496bb7..b0cb34b983ff75454bb36a024da4f3470a955d04 100644 --- a/bob/bio/base/algorithm/LDA.py +++ b/bob/bio/base/algorithm/LDA.py @@ -65,8 +65,7 @@ class LDA (Algorithm): ): # call base class constructor and register that the LDA tool performs projection and need the training features split by client - Algorithm.__init__( - self, + super(LDA, self).__init__( performs_projection = True, split_training_features_by_client = True, diff --git a/bob/bio/base/algorithm/PCA.py b/bob/bio/base/algorithm/PCA.py index ce6d6ee2b33d19b66441c7b3b6fc49c61dc87f16..d62faf5cafd49235826c234ddf6e47461c4f4fb1 100644 --- a/bob/bio/base/algorithm/PCA.py +++ b/bob/bio/base/algorithm/PCA.py @@ -49,8 +49,7 @@ class PCA (Algorithm): ): # call base class constructor and register that the algorithm performs a projection - Algorithm.__init__( - self, + super(PCA, self).__init__( performs_projection = True, subspace_dimension = subspace_dimension, diff --git a/bob/bio/base/algorithm/PLDA.py b/bob/bio/base/algorithm/PLDA.py index a82c8298a5688ffe22374bc8298176743d60f512..e2350d6b2bb4e2dc4c68f7adebbbd3bccc1f0aa1 100644 --- a/bob/bio/base/algorithm/PLDA.py +++ b/bob/bio/base/algorithm/PLDA.py @@ -37,8 +37,7 @@ class PLDA (Algorithm): """Initializes the local (PCA-)PLDA tool chain with the given file selector object""" # call base class constructor and register that this class requires training for enrollment - Algorithm.__init__( - self, + super(PLDA, self).__init__( requires_enroller_training = True, subspace_dimension_of_f = subspace_dimension_of_f, # Size of subspace F @@ -113,7 +112,7 @@ class PLDA (Algorithm): """Generates the PLDA base model from a list of arrays (one per identity), and a set of training parameters. If PCA is requested, it is trained on the same data. Both the trained PLDABase and the PCA machine are written.""" - + # arrange PLDA training data training_features = self._arrange_data(training_features) diff --git a/bob/bio/base/extractor/Linearize.py b/bob/bio/base/extractor/Linearize.py index e69de5d1b953120ab72191464a940ce5a80557ff..27c5ea23821a6a0b14ffaca5f746bb8e506ff7c3 100644 --- a/bob/bio/base/extractor/Linearize.py +++ b/bob/bio/base/extractor/Linearize.py @@ -15,7 +15,7 @@ class Linearize(Extractor): def __init__(self, dtype=None): """If the ``dtype`` parameter is given, it specifies the data type that is enforced for the features.""" - Extractor.__init__(self, dtype=dtype) + super(Linearize, self).__init__(dtype=dtype) self.dtype = dtype def __call__(self, data): diff --git a/bob/bio/base/preprocessor/Filename.py b/bob/bio/base/preprocessor/Filename.py index 4c0fddd5c423555eb2357206122ac48762f6359a..52429c1c476327f479ac5465900a55f644537ce9 100644 --- a/bob/bio/base/preprocessor/Filename.py +++ b/bob/bio/base/preprocessor/Filename.py @@ -15,7 +15,7 @@ class Filename (Preprocessor): def __init__(self): # call base class constructor, using a custom ``read_original_data`` that does nothing and always returns None - Preprocessor.__init__(self, writes_data=False, read_original_data = lambda x,y,z: None) + super(Filename, self).__init__(writes_data=False, read_original_data = lambda x,y,z: None) # The call function (i.e. the operator() in C++ terms)