”new_version”

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

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

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
\ No newline at end of file
+transformer = pipeline.transformer

bob/bio/face/extractor/__init__.py

@@ -7,7 +7,6 @@ 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

@@ -94,4 +94,4 @@ class mxnet_model(TransformerMixin, BaseEstimator):
         return d
 
     def _more_tags(self):
-        return {"stateless": True, "requires_fit": False}
\ No newline at end of file
+        return {"stateless": True, "requires_fit": False}

bob/bio/face/extractor/opencv_caffe.py

@@ -85,6 +85,7 @@ class opencv_model(TransformerMixin, BaseEstimator):
     """
     
         if self.model is None:
+              
             self._load_model()
 
         img = np.array(X)
@@ -102,4 +103,5 @@ class opencv_model(TransformerMixin, BaseEstimator):
         return d
 
     def _more_tags(self):
-        return {"stateless": True, "requires_fit": False}
\ No newline at end of file
+          
+        return {"stateless": True, "requires_fit": False}

bob/bio/face/extractor/pytorch_model.py

@@ -94,15 +94,9 @@ class pytorch_loaded_model(TransformerMixin, BaseEstimator):
         return d
 
     def _more_tags(self):
+
         return {"stateless": True, "requires_fit": False}
-        
-        
-        
-        
-        
-        
-        
-        
+              
 class pytorch_library_model(TransformerMixin, BaseEstimator):
     """Extracts features using deep face recognition with registered model frames in the PyTorch Library. 
     

bob/bio/face/extractor/tf_model.py

@@ -92,4 +92,4 @@ class tf_model(TransformerMixin, BaseEstimator):
         return d
 
     def _more_tags(self):
-        return {"stateless": True, "requires_fit": False}
\ No newline at end of file
+        return {"stateless": True, "requires_fit": False}

doc/references.rst

@@ -17,4 +17,4 @@ References
 .. [ZSQ09]  *W. Zhang, S. Shan, L. Qing, X. Chen and W. Gao*. **Are Gabor phases really useless for face recognition?** Pattern Analysis & Applications, 12:301-307, 2009.
 .. [TFP18] de Freitas Pereira, Tiago, André Anjos, and Sébastien Marcel. "Heterogeneous face recognition using domain specific units." IEEE Transactions on Information Forensics and Security 14.7 (2018): 1803-1816.
 .. [HRM06]   *G. Heusch, Y. Rodriguez, and S. Marcel*. **Local Binary Patterns as an Image Preprocessing for Face Authentication**. In IEEE International Conference on Automatic Face and Gesture Recognition (AFGR), 2006.
-.. [LGB18]    *C. Li, M. Gunther and T. E. Boult*. **ECLIPSE: Ensembles of Centroids Leveraging Iteratively Processed Spatial Eclipse Clustering**. 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), Lake Tahoe, NV, USA, 2018, pp. 131-140, doi: 10.1109/WACV.2018.00021.
+.. [LGB18]    *C. Li, M. Gunther and T. E. Boult*. **ECLIPSE: Ensembles of Centroids Leveraging Iteratively Processed Spatial Eclipse Clustering**. 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), Lake Tahoe, NV, USA, 2018, pp. 131-140, doi: 10.1109/WACV.2018.00021.
\ No newline at end of file