[py][fix] Tests transformer names kept old format.

bob/bio/face/test/test_baselines.py

@@ -57,12 +57,12 @@ def get_fake_samples_for_training():
     ]
 
 
-def run_baseline(baseline, samples_for_training=[]):    
+def run_baseline(baseline, samples_for_training=[]):
     biometric_references = get_fake_sample_set(purpose="bioref")
     probes = get_fake_sample_set(purpose="probe")
 
     # Regular pipeline
-    pipeline = load_resource(baseline, "pipeline")    
+    pipeline = load_resource(baseline, "pipeline")
     scores = pipeline(samples_for_training, biometric_references, probes)
     assert len(scores) == 1
     assert len(scores[0]) == 1
@@ -72,7 +72,7 @@ def run_baseline(baseline, samples_for_training=[]):
 
         checkpoint_pipeline = checkpoint_vanilla_biometrics(
             copy.deepcopy(pipeline), base_dir=d
-        )        
+        )
         checkpoint_scores = checkpoint_pipeline([], biometric_references, probes)
         assert len(checkpoint_scores) == 1
         assert len(checkpoint_scores[0]) == 1
@@ -104,23 +104,23 @@ def run_baseline(baseline, samples_for_training=[]):
 
 
 def test_facenet_baseline():
-    run_baseline("facenet_sanderberg")
+    run_baseline("facenet-sanderberg")
 
 
 def test_inception_resnetv2_msceleb():
-    run_baseline("inception_resnetv2_msceleb")
+    run_baseline("inception-resnetv2-msceleb")
 
 
 def test_inception_resnetv2_casiawebface():
-    run_baseline("inception_resnetv2_casiawebface")
+    run_baseline("inception-resnetv2-casiawebface")
 
 
 def test_inception_resnetv1_msceleb():
-    run_baseline("inception_resnetv1_msceleb")
+    run_baseline("inception-resnetv1-msceleb")
 
 
 def test_inception_resnetv1_casiawebface():
-    run_baseline("inception_resnetv1_casiawebface")
+    run_baseline("inception-resnetv1-casiawebface")
 
 
 def test_arcface_insight_tf():
@@ -128,7 +128,7 @@ def test_arcface_insight_tf():
 
     tf.compat.v1.reset_default_graph()
 
-    run_baseline("arcface_insight_tf")
+    run_baseline("arcface-insight-tf")
 
 
 def test_gabor_graph():

bob/bio/face/test/test_transformers.py

@@ -11,8 +11,8 @@ def get_fake_sample(face_size=(160, 160), eyes={"leye": (46, 107), "reye": (46,
     return Sample(data, key="1", annotations=annotations)
 
 
-def test_facenet():    
-    transformer = load_resource("facenet_sanderberg", "transformer")
+def test_facenet():
+    transformer = load_resource("facenet-sanderberg", "transformer")
 
     fake_sample = get_fake_sample()
 
@@ -22,7 +22,7 @@ def test_facenet():
 
 
 def test_inception_resnetv2_msceleb():
-    transformer = load_resource("inception_resnetv2_msceleb", "transformer")
+    transformer = load_resource("inception-resnetv2-msceleb", "transformer")
 
     fake_sample = get_fake_sample()
 
@@ -32,7 +32,7 @@ def test_inception_resnetv2_msceleb():
 
 
 def test_inception_resnetv2_casiawebface():
-    transformer = load_resource("inception_resnetv2_casiawebface", "transformer")
+    transformer = load_resource("inception-resnetv2-casiawebface", "transformer")
 
     fake_sample = get_fake_sample()
 
@@ -42,7 +42,7 @@ def test_inception_resnetv2_casiawebface():
 
 
 def test_inception_resnetv1_msceleb():
-    transformer = load_resource("inception_resnetv1_msceleb", "transformer")
+    transformer = load_resource("inception-resnetv1-msceleb", "transformer")
 
     fake_sample = get_fake_sample()
 
@@ -52,7 +52,7 @@ def test_inception_resnetv1_msceleb():
 
 
 def test_inception_resnetv1_casiawebface():
-    transformer = load_resource("inception_resnetv1_casiawebface", "transformer")
+    transformer = load_resource("inception-resnetv1-casiawebface", "transformer")
 
     fake_sample = get_fake_sample()
 
@@ -64,7 +64,7 @@ def test_inception_resnetv1_casiawebface():
 def test_arcface_insight_tf():
     import tensorflow as tf
     tf.compat.v1.reset_default_graph()
-    transformer = load_resource("arcface_insight_tf", "transformer")
+    transformer = load_resource("arcface-insight-tf", "transformer")
 
     fake_sample = get_fake_sample()
 
@@ -74,7 +74,7 @@ def test_arcface_insight_tf():
 
 
 def test_gabor_graph():
-    transformer = load_resource("gabor_graph", "transformer")
+    transformer = load_resource("gabor-graph", "transformer")
 
     fake_sample = get_fake_sample()
     transformed_sample = transformer.transform([fake_sample])[0]