fix a bug in GMM with regular scoring

bob/bio/gmm/algorithm/GMM.py

@@ -253,6 +253,7 @@ class GMMRegular (GMM):
 
   def train_enroller(self, train_features, enroller_file):
     """Computes the Universal Background Model from the training ("world") data"""
+    train_features = [feature for client in train_features for feature in client]
     return self.train_projector(train_features, enroller_file)
 
 

bob/bio/gmm/config/algorithm/ivector_plda.py

+import bob.bio.gmm
+
+algorithm = bob.bio.gmm.algorithm.IVector(
+    # IVector parameters
+    subspace_dimension_of_t = 100,
+    update_sigma = True,
+    tv_training_iterations = 25,  # Number of EM iterations for the TV training
+    # GMM parameters
+    number_of_gaussians = 256,
+    use_plda = True,
+    plda_dim_F  = 50,
+    plda_dim_G = 50,
+    plda_training_iterations = 200,
+)

bob/bio/gmm/test/test_algorithms.py

@@ -148,8 +148,8 @@ def test_gmm_regular():
   train_data = utils.random_training_set((100,45), count=5, minimum=-5., maximum=5.)
   reference_file = pkg_resources.resource_filename('bob.bio.gmm.test', 'data/gmm_projector.hdf5')
   try:
-    # train the projector
-    gmm2.train_enroller(train_data, temp_file)
+    # train the enroler
+    gmm2.train_enroller([train_data], temp_file)
 
     assert os.path.exists(temp_file)
 
@@ -331,7 +331,7 @@ def test_jfa():
 
 def test_ivector_cosine():
   temp_file = bob.io.base.test_utils.temporary_filename()
-  ivec1 = bob.bio.base.load_resource("ivector", "algorithm")
+  ivec1 = bob.bio.base.load_resource("ivector-cosine", "algorithm")
   assert isinstance(ivec1, bob.bio.gmm.algorithm.IVector)
   assert isinstance(ivec1, bob.bio.gmm.algorithm.GMM)
   assert isinstance(ivec1, bob.bio.base.algorithm.Algorithm)
@@ -396,7 +396,7 @@ def test_ivector_cosine():
   
 def test_ivector_plda():
   temp_file = bob.io.base.test_utils.temporary_filename()
-  ivec1 = bob.bio.base.load_resource("ivector", "algorithm")
+  ivec1 = bob.bio.base.load_resource("ivector-plda", "algorithm")
   ivec1.use_plda = True
   
   # create smaller IVector object
@@ -458,7 +458,7 @@ def test_ivector_plda():
 
 def test_ivector_lda_wccn_plda():
   temp_file = bob.io.base.test_utils.temporary_filename()
-  ivec1 = bob.bio.base.load_resource("ivector", "algorithm")
+  ivec1 = bob.bio.base.load_resource("ivector-lda-wccn-plda", "algorithm")
   ivec1.use_lda = True
   ivec1.use_wccn = True
   ivec1.use_plda = True

setup.py

@@ -124,6 +124,7 @@ setup(
         'jfa                                = bob.bio.gmm.config.algorithm.jfa:algorithm',
         'isv                                = bob.bio.gmm.config.algorithm.isv:algorithm',
         'ivector-cosine             = bob.bio.gmm.config.algorithm.ivector_cosine:algorithm',
+        'ivector-plda                = bob.bio.gmm.config.algorithm.ivector_plda:algorithm',
         'ivector-lda-wccn-plda = bob.bio.gmm.config.algorithm.ivector_lda_wccn_plda:algorithm',
       ],
    },