diff --git a/bob/bio/face/config/baseline/facenet_sanderberg.py b/bob/bio/face/config/baseline/facenet_sanderberg.py
index f59ff74e4618f8f3b9b1ff4fc1b346917f2b3f91..20b8c9ce80ef4db4a000db064c4ddd5ca562388e 100644
--- a/bob/bio/face/config/baseline/facenet_sanderberg.py
+++ b/bob/bio/face/config/baseline/facenet_sanderberg.py
@@ -1,5 +1,7 @@
from bob.bio.face.embeddings import FaceNetSanderberg
from bob.bio.face.config.baseline.helpers import embedding_transformer_160x160
+from bob.bio.base.pipelines.vanilla_biometrics import Distance, VanillaBiometricsPipeline
+
if "database" in locals():
@@ -10,4 +12,11 @@ else:
fixed_positions = None
-transformer = embedding_transformer_160x160(FaceNetSanderberg(), annotation_type, fixed_positions)
\ No newline at end of file
+transformer = embedding_transformer_160x160(FaceNetSanderberg(), annotation_type, fixed_positions)
+
+algorithm = Distance()
+
+pipeline = VanillaBiometricsPipeline(
+ transformer,
+ algorithm
+)
diff --git a/bob/bio/face/test/test_baselines.py b/bob/bio/face/test/test_baselines.py
new file mode 100644
index 0000000000000000000000000000000000000000..49c561137b12faf6254d28a68e0a9452cd0a9243
--- /dev/null
+++ b/bob/bio/face/test/test_baselines.py
@@ -0,0 +1,95 @@
+from bob.extension.config import load
+import pkg_resources
+import numpy as np
+from bob.pipelines import Sample, SampleSet
+from bob.bio.base import load_resource
+
+
+def get_fake_sample_set(
+ face_size=(160, 160), eyes={"leye": (46, 107), "reye": (46, 53)}
+):
+
+ data = np.random.rand(3, 400, 400)
+ annotations = {"leye": (115, 267), "reye": (115, 132)}
+ return [
+ SampleSet(
+ [Sample(data, key="1", annotations=annotations)],
+ key="1",
+ subject="1",
+ references=["1"],
+ )
+ ]
+
+
+def test_facenet_baseline():
+
+ biometric_references = get_fake_sample_set()
+ probes = get_fake_sample_set()
+
+ # Regular pipeline
+ pipeline = load_resource("facenet_sanderberg", "baseline")
+ scores = pipeline([], biometric_references, probes)
+ assert len(scores)==1
+ assert len(scores[0])==1
+
+
+ # Regular with
+
+ # fake_sample = get_fake_sample()
+
+ # transformed_sample = transformer.transform([fake_sample])[0]
+ # transformed_data = transformed_sample.data
+ # assert transformed_sample.data.size == 128
+
+
+def test_inception_resnetv2_msceleb():
+ transformer = load_resource("inception_resnetv2_msceleb", "baseline")
+
+ fake_sample = get_fake_sample()
+
+ transformed_sample = transformer.transform([fake_sample])[0]
+ transformed_data = transformed_sample.data
+ assert transformed_sample.data.size == 128
+
+
+def test_inception_resnetv2_casiawebface():
+ transformer = load_resource("inception_resnetv2_casiawebface", "baseline")
+
+ fake_sample = get_fake_sample()
+
+ transformed_sample = transformer.transform([fake_sample])[0]
+ transformed_data = transformed_sample.data
+ assert transformed_sample.data.size == 128
+
+
+def test_inception_resnetv1_msceleb():
+ transformer = load_resource("inception_resnetv1_msceleb", "baseline")
+
+ fake_sample = get_fake_sample()
+
+ transformed_sample = transformer.transform([fake_sample])[0]
+ transformed_data = transformed_sample.data
+ assert transformed_sample.data.size == 128
+
+
+def test_inception_resnetv1_casiawebface():
+ transformer = load_resource("inception_resnetv1_casiawebface", "baseline")
+
+ fake_sample = get_fake_sample()
+
+ transformed_sample = transformer.transform([fake_sample])[0]
+ transformed_data = transformed_sample.data
+ assert transformed_sample.data.size == 128
+
+
+def test_arcface_insight_tf():
+ import tensorflow as tf
+
+ tf.compat.v1.reset_default_graph()
+ transformer = load_resource("arcface_insight_tf", "baseline")
+
+ fake_sample = get_fake_sample()
+
+ transformed_sample = transformer.transform([fake_sample])[0]
+ transformed_data = transformed_sample.data
+ assert transformed_sample.data.size == 512
diff --git a/bob/bio/face/test/test_baseline.py b/bob/bio/face/test/test_transformers.py
similarity index 98%
rename from bob/bio/face/test/test_baseline.py
rename to bob/bio/face/test/test_transformers.py
index f6ea8f58f6a603adf4345739b5c98696b7b1f527..ab73788435171a0991dcc04596601cdcf9f25542 100644
--- a/bob/bio/face/test/test_baseline.py
+++ b/bob/bio/face/test/test_transformers.py
@@ -11,7 +11,7 @@ def get_fake_sample(face_size=(160, 160), eyes={"leye": (46, 107), "reye": (46,
return Sample(data, key="1", annotations=annotations)
-def test_facenet_baseline():
+def test_facenet_baseline():
transformer = load_resource("facenet_sanderberg", "baseline")
fake_sample = get_fake_sample()
diff --git a/develop.cfg b/develop.cfg
index 0100329d87f0e982f75cd2f4fa5a502f0b972f09..5fafd36ce01e6fa8420cf5be0261782f921c45e9 100644
--- a/develop.cfg
+++ b/develop.cfg
@@ -6,14 +6,6 @@ parts = scripts
develop = src/bob.pipelines
src/bob.bio.base
- src/bob.bio.face_ongoing
- src/bob.bio.gmm
- src/bob.ip.tensorflow_extractor
- src/bob.db.ijbc
- src/bob.extension
- src/bob.ip.gabor
- src/bob.learn.linear
- src/bob.learn.em
.
@@ -21,15 +13,7 @@ develop = src/bob.pipelines
eggs = bob.bio.face
bob.pipelines
bob.bio.base
- bob.bio.face_ongoing
- bob.bio.gmm
- bob.ip.gabor
- bob.ip.tensorflow_extractor
- bob.db.ijbc
- bob.extension
- bob.learn.linear
- bob.learn.em
-
+
extensions = bob.buildout
mr.developer
@@ -42,14 +26,6 @@ auto-checkout = *
[sources]
bob.pipelines = git git@gitlab.idiap.ch:bob/bob.pipelines
bob.bio.base = git git@gitlab.idiap.ch:bob/bob.bio.base
-bob.bio.face_ongoing = git git@gitlab.idiap.ch:bob/bob.bio.face_ongoing
-bob.ip.tensorflow_extractor = git git@gitlab.idiap.ch:bob/bob.ip.tensorflow_extractor
-bob.db.ijbc = git git@gitlab.idiap.ch:bob/bob.db.ijbc
-bob.bio.gmm = git git@gitlab.idiap.ch:bob/bob.bio.gmm
-bob.extension = git git@gitlab.idiap.ch:bob/bob.extension
-bob.learn.linear = git git@gitlab.idiap.ch:bob/bob.learn.linear
-bob.learn.em = git git@gitlab.idiap.ch:bob/bob.learn.em
-bob.ip.gabor = git git@gitlab.idiap.ch:bob/bob.ip.gabor
[scripts]
diff --git a/setup.py b/setup.py
index d6c10dca9483d6d24be55be04ae886e11f165dc0..2f920af704fbf94ec50463bba58e015ad6fe4132 100644
--- a/setup.py
+++ b/setup.py
@@ -141,8 +141,7 @@ setup(
'mtcnn = bob.bio.face.config.annotator.mtcnn:annotator',
],
- #baselines
- 'bob.bio.baseline':[
+ 'bob.bio.transformer':[
'facenet_sanderberg = bob.bio.face.config.baseline.facenet_sanderberg:transformer',
'inception_resnetv1_casiawebface = bob.bio.face.config.baseline.inception_resnetv1_casiawebface:transformer',
'inception_resnetv2_casiawebface = bob.bio.face.config.baseline.inception_resnetv2_casiawebface:transformer',
@@ -151,6 +150,17 @@ setup(
'arcface_insight_tf = bob.bio.face.config.baseline.arcface_insight_tf:transformer',
],
+ #baselines
+ 'bob.bio.baseline':[
+ 'facenet_sanderberg = bob.bio.face.config.baseline.facenet_sanderberg:pipeline',
+ 'inception_resnetv1_casiawebface = bob.bio.face.config.baseline.inception_resnetv1_casiawebface:pipeline',
+ 'inception_resnetv2_casiawebface = bob.bio.face.config.baseline.inception_resnetv2_casiawebface:pipeline',
+ 'inception_resnetv1_msceleb = bob.bio.face.config.baseline.inception_resnetv1_msceleb:pipeline',
+ 'inception_resnetv2_msceleb = bob.bio.face.config.baseline.inception_resnetv2_msceleb:pipeline',
+ 'arcface_insight_tf = bob.bio.face.config.baseline.arcface_insight_tf:pipeline',
+ ],
+
+
},
# Classifiers are important if you plan to distribute this package through