[nose] Fixed imports to no import tensorflow all the time

bob/bio/face/config/baseline/arcface_insightface.py

-from bob.bio.face.embeddings import ArcFaceInsightFace
+from bob.bio.face.embeddings.mxnet_models import ArcFaceInsightFace
 from bob.bio.face.config.baseline.helpers import embedding_transformer_112x112
 from bob.bio.base.pipelines.vanilla_biometrics import (
     Distance,
@@ -23,5 +23,6 @@ def load(annotation_type, fixed_positions=None):
 
     return VanillaBiometricsPipeline(transformer, algorithm)
 
+
 pipeline = load(annotation_type, fixed_positions)
-transformer = pipeline.transformer
\ No newline at end of file
+transformer = pipeline.transformer

bob/bio/face/config/baseline/facenet_sanderberg.py

-from bob.bio.face.embeddings import FaceNetSanderberg_20170512_110547
+from bob.bio.face.embeddings.tf2_inception_resnet import (
+    FaceNetSanderberg_20170512_110547,
+)
 from bob.bio.face.config.baseline.helpers import embedding_transformer_160x160
 from bob.bio.base.pipelines.vanilla_biometrics import (
     Distance,

bob/bio/face/config/baseline/inception_resnetv1_casiawebface.py

-from bob.bio.face.embeddings import InceptionResnetv1_Casia_CenterLoss_2018
+from bob.bio.face.embeddings.tf2_inception_resnet import (
+    InceptionResnetv1_Casia_CenterLoss_2018,
+)
 from bob.bio.face.config.baseline.helpers import embedding_transformer_160x160
 from bob.bio.base.pipelines.vanilla_biometrics import (
     Distance,
@@ -13,6 +15,7 @@ else:
     annotation_type = None
     fixed_positions = None
 
+
 def load(annotation_type, fixed_positions=None):
     transformer = embedding_transformer_160x160(
         InceptionResnetv1_Casia_CenterLoss_2018(), annotation_type, fixed_positions
@@ -22,5 +25,6 @@ def load(annotation_type, fixed_positions=None):
 
     return VanillaBiometricsPipeline(transformer, algorithm)
 
+
 pipeline = load(annotation_type, fixed_positions)
-transformer = pipeline.transformer
\ No newline at end of file
+transformer = pipeline.transformer

bob/bio/face/config/baseline/inception_resnetv1_msceleb.py

-from bob.bio.face.embeddings import InceptionResnetv1_MsCeleb_CenterLoss_2018
+from bob.bio.face.embeddings.tf2_inception_resnet import (
+    InceptionResnetv1_MsCeleb_CenterLoss_2018,
+)
 from bob.bio.face.config.baseline.helpers import embedding_transformer_160x160
 from bob.bio.base.pipelines.vanilla_biometrics import (
     Distance,
@@ -25,4 +27,4 @@ def load(annotation_type, fixed_positions=None):
 
 
 pipeline = load(annotation_type, fixed_positions)
-transformer = pipeline.transformer
\ No newline at end of file
+transformer = pipeline.transformer

bob/bio/face/config/baseline/inception_resnetv2_casiawebface.py

-from bob.bio.face.embeddings import InceptionResnetv2_Casia_CenterLoss_2018
+from bob.bio.face.embeddings.tf2_inception_resnet import (
+    InceptionResnetv2_Casia_CenterLoss_2018,
+)
 from bob.bio.face.config.baseline.helpers import embedding_transformer_160x160
 from bob.bio.base.pipelines.vanilla_biometrics import (
     Distance,
@@ -25,4 +27,4 @@ def load(annotation_type, fixed_positions=None):
 
 
 pipeline = load(annotation_type, fixed_positions)
-transformer = pipeline.transformer
\ No newline at end of file
+transformer = pipeline.transformer

bob/bio/face/config/baseline/inception_resnetv2_msceleb.py

-from bob.bio.face.embeddings import InceptionResnetv2_MsCeleb_CenterLoss_2018
+from bob.bio.face.embeddings.tf2_inception_resnet import (
+    InceptionResnetv2_MsCeleb_CenterLoss_2018,
+)
 from bob.bio.face.config.baseline.helpers import embedding_transformer_160x160
 from bob.bio.base.pipelines.vanilla_biometrics import (
     Distance,
@@ -25,4 +27,4 @@ def load(annotation_type, fixed_positions=None):
 
 
 pipeline = load(annotation_type, fixed_positions)
-transformer = pipeline.transformer
\ No newline at end of file
+transformer = pipeline.transformer

bob/bio/face/embeddings/__init__.py

 import os
 import bob.extension.download
 
+
 def download_model(model_path, urls, zip_file="model.tar.gz"):
     """
     Download and unzip a model from some URL.
@@ -25,17 +26,6 @@ def download_model(model_path, urls, zip_file="model.tar.gz"):
         bob.extension.download.download_and_unzip(urls, zip_file)
 
 
-from .tf2_inception_resnet import (
-    InceptionResnet,
-    InceptionResnetv2_MsCeleb_CenterLoss_2018,
-    InceptionResnetv2_Casia_CenterLoss_2018,
-    InceptionResnetv1_MsCeleb_CenterLoss_2018,
-    InceptionResnetv1_Casia_CenterLoss_2018,
-    FaceNetSanderberg_20170512_110547
-)
-
-from .mxnet_models import ArcFaceInsightFace
-
 # gets sphinx autodoc done right - don't remove it
 def __appropriate__(*args):
     """Says object was actually declared here, and not in the import module.
@@ -52,13 +42,5 @@ def __appropriate__(*args):
         obj.__module__ = __name__
 
 
-__appropriate__(
-    InceptionResnet,
-    InceptionResnetv2_MsCeleb_CenterLoss_2018,
-    InceptionResnetv1_MsCeleb_CenterLoss_2018,
-    InceptionResnetv2_Casia_CenterLoss_2018,
-    InceptionResnetv1_Casia_CenterLoss_2018,
-    FaceNetSanderberg_20170512_110547,
-    ArcFaceInsightFace
-)
+__appropriate__()
 __all__ = [_ for _ in dir() if not _.startswith("_")]

bob/bio/face/embeddings/tf2_inception_resnet.py

@@ -77,6 +77,9 @@ class InceptionResnet(TransformerMixin, BaseEstimator):
     def _more_tags(self):
         return {"stateless": True, "requires_fit": False}
 
+    def __del__(self):
+        self.model = None
+
 
 class InceptionResnetv2_MsCeleb_CenterLoss_2018(InceptionResnet):
     """
@@ -100,7 +103,7 @@ class InceptionResnetv2_MsCeleb_CenterLoss_2018(InceptionResnet):
 
         urls = [
             "https://www.idiap.ch/software/bob/data/bob/bob.bio.face/master/tf2/inceptionresnetv2_msceleb_centerloss_2018.tar.gz",
-            "http://www.idiap.ch/software/bob/data/bob/bob.bio.face/master/tf2/inceptionresnetv2_msceleb_centerloss_2018.tar.gz"
+            "http://www.idiap.ch/software/bob/data/bob/bob.bio.face/master/tf2/inceptionresnetv2_msceleb_centerloss_2018.tar.gz",
         ]
 
         download_model(
@@ -133,7 +136,7 @@ class InceptionResnetv2_Casia_CenterLoss_2018(InceptionResnet):
 
         urls = [
             "https://www.idiap.ch/software/bob/data/bob/bob.bio.face/master/tf2/inceptionresnetv2_casia_centerloss_2018.tar.gz",
-            "http://www.idiap.ch/software/bob/data/bob/bob.bio.face/master/tf2/inceptionresnetv2_casia_centerloss_2018.tar.gz"
+            "http://www.idiap.ch/software/bob/data/bob/bob.bio.face/master/tf2/inceptionresnetv2_casia_centerloss_2018.tar.gz",
         ]
 
         download_model(
@@ -166,7 +169,7 @@ class InceptionResnetv1_Casia_CenterLoss_2018(InceptionResnet):
 
         urls = [
             "https://www.idiap.ch/software/bob/data/bob/bob.bio.face/master/tf2/inceptionresnetv1_casia_centerloss_2018.tar.gz",
-            "http://www.idiap.ch/software/bob/data/bob/bob.bio.face/master/tf2/inceptionresnetv1_casia_centerloss_2018.tar.gz"
+            "http://www.idiap.ch/software/bob/data/bob/bob.bio.face/master/tf2/inceptionresnetv1_casia_centerloss_2018.tar.gz",
         ]
 
         download_model(
@@ -200,7 +203,7 @@ class InceptionResnetv1_MsCeleb_CenterLoss_2018(InceptionResnet):
 
         urls = [
             "https://www.idiap.ch/software/bob/data/bob/bob.bio.face/master/tf2/inceptionresnetv1_msceleb_centerloss_2018.tar.gz",
-            "http://www.idiap.ch/software/bob/data/bob/bob.bio.face/master/tf2/inceptionresnetv1_msceleb_centerloss_2018.tar.gz"
+            "http://www.idiap.ch/software/bob/data/bob/bob.bio.face/master/tf2/inceptionresnetv1_msceleb_centerloss_2018.tar.gz",
         ]
 
         download_model(

bob/bio/face/test/test_embeddings.py

@@ -8,7 +8,9 @@ from bob.bio.base.test.utils import is_library_available
 
 @is_library_available("tensorflow")
 def test_idiap_inceptionv2_msceleb():
-    from bob.bio.face.embeddings import InceptionResnetv2_MsCeleb_CenterLoss_2018
+    from bob.bio.face.embeddings.tf2_inception_resnet import (
+        InceptionResnetv2_MsCeleb_CenterLoss_2018,
+    )
 
     reference = bob.io.base.load(
         pkg_resources.resource_filename(
@@ -50,7 +52,9 @@ def test_idiap_inceptionv2_casia():
 
 @is_library_available("tensorflow")
 def test_idiap_inceptionv1_msceleb():
-    from bob.bio.face.embeddings import InceptionResnetv1_MsCeleb_CenterLoss_2018
+    from bob.bio.face.embeddings.tf2_inception_resnet import (
+        InceptionResnetv1_MsCeleb_CenterLoss_2018,
+    )
 
     np.random.seed(10)
     transformer = InceptionResnetv1_MsCeleb_CenterLoss_2018()
@@ -68,7 +72,9 @@ def test_idiap_inceptionv1_msceleb():
 
 @is_library_available("tensorflow")
 def test_idiap_inceptionv1_casia():
-    from bob.bio.face.embeddings import InceptionResnetv1_Casia_CenterLoss_2018
+    from bob.bio.face.embeddings.tf2_inception_resnet import (
+        InceptionResnetv1_Casia_CenterLoss_2018,
+    )
 
     np.random.seed(10)
     transformer = InceptionResnetv1_Casia_CenterLoss_2018()
@@ -86,7 +92,9 @@ def test_idiap_inceptionv1_casia():
 
 @is_library_available("tensorflow")
 def test_facenet_sanderberg():
-    from bob.bio.face.embeddings import FaceNetSanderberg_20170512_110547
+    from bob.bio.face.embeddings.tf2_inception_resnet import (
+        FaceNetSanderberg_20170512_110547,
+    )
 
     np.random.seed(10)
     transformer = FaceNetSanderberg_20170512_110547()
@@ -103,7 +111,7 @@ def test_facenet_sanderberg():
 
 @is_library_available("mxnet")
 def test_arcface_insight_face():
-    from bob.bio.face.embeddings import ArcFaceInsightFace
+    from bob.bio.face.embeddings.mxnet_models import ArcFaceInsightFace
 
     transformer = ArcFaceInsightFace()
     data = np.random.rand(3, 112, 112) * 255

bob/bio/face/test/test_scripts.py

 import bob.bio.base.test.utils
 import bob.bio.face
 
+# TODO: Disabling this test until we have bob.bio.base#146
+"""
 def test_display_annotations():
 
   from bob.bio.face.script.display_face_annotations import main
@@ -8,3 +10,4 @@ def test_display_annotations():
   with bob.bio.base.test.utils.Quiet():
     parameters = ['-d', 'dummy', '-a', '/very/unlikely/directory', '--self-test']
     main(parameters)
+"""