”new”

bob/bio/face/annotator/__init__.py

 import bob.ip.facedetect
 
-
 def bounding_box_to_annotations(bbx):
     """Converts :any:`bob.ip.facedetect.BoundingBox` to dictionary annotations.
 

bob/bio/face/annotator/bobiptinyface.py

@@ -33,4 +33,3 @@ class BobIpTinyface(Base):
             return {"topleft": (r[0], r[1]), "bottomright": (r[2], r[3])}
         else:
             return None
-

bob/bio/face/config/annotator/tinyface.py

 from bob.bio.face.annotator import BobIpTinyface
 
-annotator = BobIpTinyface()
+annotator = BobIpTinyface()
\ No newline at end of file

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

@@ -61,4 +61,3 @@ transformer = make_pipeline(
 # Assemble the Vanilla Biometric pipeline and execute
 pipeline = VanillaBiometricsPipeline(transformer, algorithm)
 transformer = pipeline.transformer
-

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

@@ -68,4 +68,4 @@ transformer = make_pipeline(
 
 # Assemble the Vanilla Biometric pipeline and execute
 pipeline = VanillaBiometricsPipeline(transformer, algorithm)
-transformer = pipeline.transformer
+transformer = pipeline.transformer
\ No newline at end of file

bob/bio/face/config/baseline/pytorch_pipe_v1.py

@@ -61,4 +61,3 @@ transformer = make_pipeline(
 # Assemble the Vanilla Biometric pipeline and execute
 pipeline = VanillaBiometricsPipeline(transformer, algorithm)
 transformer = pipeline.transformer
-

bob/bio/face/config/baseline/pytorch_pipe_v2.py

@@ -64,4 +64,3 @@ transformer = make_pipeline(
 # Assemble the Vanilla Biometric pipeline and execute
 pipeline = VanillaBiometricsPipeline(transformer, algorithm)
 transformer = pipeline.transformer
-

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

@@ -64,4 +64,3 @@ transformer = make_pipeline(
 # Assemble the Vanilla Biometric pipeline and execute
 pipeline = VanillaBiometricsPipeline(transformer, algorithm)
 transformer = pipeline.transformer
-

bob/bio/face/extractor/__init__.py

@@ -7,6 +7,7 @@ from .pytorch_model import pytorch_library_model
 from .tf_model import tf_model
 from .opencv_caffe import opencv_model
 
+
 # gets sphinx autodoc done right - don't remove it
 def __appropriate__(*args):
     """Says object was actually declared here, and not in the import module.

bob/bio/face/extractor/mxnet_resnet.py

@@ -78,7 +78,7 @@ class mxnet_model(TransformerMixin, BaseEstimator):
     """
     
         if self.model is None:
-            self.load_model()
+            self._load_model()
 
         X = check_array(X, allow_nd=True)
         X = mx.nd.array(X)
@@ -94,4 +94,4 @@ class mxnet_model(TransformerMixin, BaseEstimator):
         return d
 
     def _more_tags(self):
-        return {"stateless": True, "requires_fit": False}
+        return {"stateless": True, "requires_fit": False}
\ No newline at end of file

bob/bio/face/extractor/opencv_caffe.py

@@ -85,7 +85,7 @@ class opencv_model(TransformerMixin, BaseEstimator):
     """
     
         if self.model is None:
-            self.load_model()
+            self._load_model()
 
         img = np.array(X)
 
@@ -102,4 +102,4 @@ class opencv_model(TransformerMixin, BaseEstimator):
         return d
 
     def _more_tags(self):
-        return {"stateless": True, "requires_fit": False}
+        return {"stateless": True, "requires_fit": False}
\ No newline at end of file

bob/bio/face/extractor/pytorch_model.py

@@ -79,7 +79,7 @@ class pytorch_loaded_model(TransformerMixin, BaseEstimator):
     """
     
         if self.model is None:
-            self.load_model()
+            self._load_model()
 
         X = torch.Tensor(X)
 
@@ -162,4 +162,4 @@ class pytorch_library_model(TransformerMixin, BaseEstimator):
         return d
 
     def _more_tags(self):
-        return {"stateless": True, "requires_fit": False}
+        return {"stateless": True, "requires_fit": False}
\ No newline at end of file

bob/bio/face/extractor/tf_model.py

@@ -73,7 +73,7 @@ class tf_model(TransformerMixin, BaseEstimator):
     """
     
         if self.model is None:
-            self.load_model()
+            self._load_model()
 
         X = check_array(X, allow_nd=True)
         X = tf.convert_to_tensor(X)
@@ -92,4 +92,4 @@ class tf_model(TransformerMixin, BaseEstimator):
         return d
 
     def _more_tags(self):
-        return {"stateless": True, "requires_fit": False}
+        return {"stateless": True, "requires_fit": False}
\ No newline at end of file

requirements.txt

@@ -22,4 +22,4 @@ mxnet
 opencv-python
 six
 scikit-image
-scikit-learn # for pipelines Tranformers
+scikit-learn # for pipelines Tranformers
\ No newline at end of file

setup.py

@@ -214,4 +214,4 @@ setup(
         "Programming Language :: Python",
         "Topic :: Scientific/Engineering :: Artificial Intelligence",
     ],
-)
+)
\ No newline at end of file