Changed the default FrameSelector in preproc configs to select all frames

bob/pad/face/config/lbp_svm.py

@@ -24,6 +24,8 @@ from ..preprocessor import FaceCropAlign
 
 from bob.bio.video.preprocessor import Wrapper
 
+from bob.bio.video.utils import FrameSelector
+
 FACE_SIZE = 64 # The size of the resulting face
 RGB_OUTPUT_FLAG = False # Gray-scale output
 USE_FACE_ALIGNMENT = False # use annotations
@@ -38,7 +40,10 @@ _image_preprocessor = FaceCropAlign(face_size = FACE_SIZE,
                                    face_detection_method = FACE_DETECTION_METHOD,
                                    min_face_size = MIN_FACE_SIZE)
 
-preprocessor = Wrapper(_image_preprocessor)
+_frame_selector = FrameSelector(selection_style = "all")
+
+preprocessor = Wrapper(preprocessor = _image_preprocessor,
+                       frame_selector = _frame_selector)
 """
 In the preprocessing stage the face is cropped in each frame of the input video given facial annotations.
 The size of the face is normalized to ``FACE_SIZE`` dimensions. The faces with the size

bob/pad/face/config/lbp_svm_aggregated_db.py

@@ -26,6 +26,8 @@ from ..preprocessor import FaceCropAlign
 
 from bob.bio.video.preprocessor import Wrapper
 
+from bob.bio.video.utils import FrameSelector
+
 FACE_SIZE = 64 # The size of the resulting face
 RGB_OUTPUT_FLAG = False # Gray-scale output
 USE_FACE_ALIGNMENT = False # use annotations
@@ -40,7 +42,10 @@ _image_preprocessor = FaceCropAlign(face_size = FACE_SIZE,
                                    face_detection_method = FACE_DETECTION_METHOD,
                                    min_face_size = MIN_FACE_SIZE)
 
-preprocessor = Wrapper(_image_preprocessor)
+_frame_selector = FrameSelector(selection_style = "all")
+
+preprocessor = Wrapper(preprocessor = _image_preprocessor,
+                       frame_selector = _frame_selector)
 """
 In the preprocessing stage the face is cropped in each frame of the input video given facial annotations.
 The size of the face is normalized to ``FACE_SIZE`` dimensions. The faces with the size

bob/pad/face/config/preprocessor/video_face_crop.py

@@ -5,6 +5,8 @@ from ..preprocessor import FaceCropAlign
 
 from bob.bio.video.preprocessor import Wrapper
 
+from bob.bio.video.utils import FrameSelector
+
 # =======================================================================================
 # Define instances here:
 
@@ -23,7 +25,10 @@ _image_preprocessor = FaceCropAlign(face_size=FACE_SIZE,
                                     face_detection_method=FACE_DETECTION_METHOD,
                                     min_face_size=MIN_FACE_SIZE)
 
-rgb_face_detector_dlib = Wrapper(_image_preprocessor)
+_frame_selector = FrameSelector(selection_style = "all")
+
+rgb_face_detector_dlib = Wrapper(preprocessor = _image_preprocessor,
+                                 frame_selector = _frame_selector)
 
 # =======================================================================================
 FACE_DETECTION_METHOD = "mtcnn"  # use mtcnn face detection
@@ -35,4 +40,5 @@ _image_preprocessor = FaceCropAlign(face_size=FACE_SIZE,
                                     face_detection_method=FACE_DETECTION_METHOD,
                                     min_face_size=MIN_FACE_SIZE)
 
-rgb_face_detector_mtcnn = Wrapper(_image_preprocessor)
+rgb_face_detector_mtcnn = Wrapper(preprocessor = _image_preprocessor,
+                                  frame_selector = _frame_selector)

bob/pad/face/config/qm_lr.py

@@ -23,6 +23,8 @@ from ..preprocessor import FaceCropAlign
 
 from bob.bio.video.preprocessor import Wrapper
 
+from bob.bio.video.utils import FrameSelector
+
 FACE_SIZE = 64 # The size of the resulting face
 RGB_OUTPUT_FLAG = True # RGB output
 USE_FACE_ALIGNMENT = False # use annotations
@@ -37,7 +39,10 @@ _image_preprocessor = FaceCropAlign(face_size = FACE_SIZE,
                                    face_detection_method = FACE_DETECTION_METHOD,
                                    min_face_size = MIN_FACE_SIZE)
 
-preprocessor = Wrapper(_image_preprocessor)
+_frame_selector = FrameSelector(selection_style = "all")
+
+preprocessor = Wrapper(preprocessor = _image_preprocessor,
+                       frame_selector = _frame_selector)
 """
 In the preprocessing stage the face is cropped in each frame of the input video given facial annotations.
 The size of the face is normalized to ``FACE_SIZE`` dimensions. The faces of the size

bob/pad/face/config/qm_one_class_gmm.py

@@ -23,6 +23,8 @@ from ..preprocessor import FaceCropAlign
 
 from bob.bio.video.preprocessor import Wrapper
 
+from bob.bio.video.utils import FrameSelector
+
 FACE_SIZE = 64 # The size of the resulting face
 RGB_OUTPUT_FLAG = True # RGB output
 USE_FACE_ALIGNMENT = False # use annotations
@@ -37,7 +39,10 @@ _image_preprocessor = FaceCropAlign(face_size = FACE_SIZE,
                                    face_detection_method = FACE_DETECTION_METHOD,
                                    min_face_size = MIN_FACE_SIZE)
 
-preprocessor = Wrapper(_image_preprocessor)
+_frame_selector = FrameSelector(selection_style = "all")
+
+preprocessor = Wrapper(preprocessor = _image_preprocessor,
+                       frame_selector = _frame_selector)
 """
 In the preprocessing stage the face is cropped in each frame of the input video given facial annotations.
 The size of the face is normalized to ``FACE_SIZE`` dimensions. The faces of the size

bob/pad/face/config/qm_one_class_svm_aggregated_db.py

@@ -25,6 +25,8 @@ from ..preprocessor import FaceCropAlign
 
 from bob.bio.video.preprocessor import Wrapper
 
+from bob.bio.video.utils import FrameSelector
+
 FACE_SIZE = 64 # The size of the resulting face
 RGB_OUTPUT_FLAG = True # RGB output
 USE_FACE_ALIGNMENT = False # use annotations
@@ -39,7 +41,10 @@ _image_preprocessor = FaceCropAlign(face_size = FACE_SIZE,
                                    face_detection_method = FACE_DETECTION_METHOD,
                                    min_face_size = MIN_FACE_SIZE)
 
-preprocessor = Wrapper(_image_preprocessor)
+_frame_selector = FrameSelector(selection_style = "all")
+
+preprocessor = Wrapper(preprocessor = _image_preprocessor,
+                       frame_selector = _frame_selector)
 """
 In the preprocessing stage the face is cropped in each frame of the input video given facial annotations.
 The size of the face is normalized to ``FACE_SIZE`` dimensions. The faces of the size

bob/pad/face/config/qm_one_class_svm_cascade_aggregated_db.py

@@ -25,6 +25,8 @@ from ..preprocessor import FaceCropAlign
 
 from bob.bio.video.preprocessor import Wrapper
 
+from bob.bio.video.utils import FrameSelector
+
 FACE_SIZE = 64 # The size of the resulting face
 RGB_OUTPUT_FLAG = True # RGB output
 USE_FACE_ALIGNMENT = False # use annotations
@@ -39,7 +41,10 @@ _image_preprocessor = FaceCropAlign(face_size = FACE_SIZE,
                                    face_detection_method = FACE_DETECTION_METHOD,
                                    min_face_size = MIN_FACE_SIZE)
 
-preprocessor = Wrapper(_image_preprocessor)
+_frame_selector = FrameSelector(selection_style = "all")
+
+preprocessor = Wrapper(preprocessor = _image_preprocessor,
+                       frame_selector = _frame_selector)
 """
 In the preprocessing stage the face is cropped in each frame of the input video given facial annotations.
 The size of the face is normalized to ``FACE_SIZE`` dimensions. The faces of the size

bob/pad/face/config/qm_svm.py

@@ -23,6 +23,8 @@ from ..preprocessor import FaceCropAlign
 
 from bob.bio.video.preprocessor import Wrapper
 
+from bob.bio.video.utils import FrameSelector
+
 FACE_SIZE = 64 # The size of the resulting face
 RGB_OUTPUT_FLAG = True # RGB output
 USE_FACE_ALIGNMENT = False # use annotations
@@ -37,7 +39,10 @@ _image_preprocessor = FaceCropAlign(face_size = FACE_SIZE,
                                    face_detection_method = FACE_DETECTION_METHOD,
                                    min_face_size = MIN_FACE_SIZE)
 
-preprocessor = Wrapper(_image_preprocessor)
+_frame_selector = FrameSelector(selection_style = "all")
+
+preprocessor = Wrapper(preprocessor = _image_preprocessor,
+                       frame_selector = _frame_selector)
 """
 In the preprocessing stage the face is cropped in each frame of the input video given facial annotations.
 The size of the face is normalized to ``FACE_SIZE`` dimensions. The faces of the size

bob/pad/face/config/qm_svm_aggregated_db.py

@@ -25,6 +25,8 @@ from ..preprocessor import FaceCropAlign
 
 from bob.bio.video.preprocessor import Wrapper
 
+from bob.bio.video.utils import FrameSelector
+
 FACE_SIZE = 64 # The size of the resulting face
 RGB_OUTPUT_FLAG = True # RGB output
 USE_FACE_ALIGNMENT = False # use annotations
@@ -39,7 +41,10 @@ _image_preprocessor = FaceCropAlign(face_size = FACE_SIZE,
                                    face_detection_method = FACE_DETECTION_METHOD,
                                    min_face_size = MIN_FACE_SIZE)
 
-preprocessor = Wrapper(_image_preprocessor)
+_frame_selector = FrameSelector(selection_style = "all")
+
+preprocessor = Wrapper(preprocessor = _image_preprocessor,
+                       frame_selector = _frame_selector)
 """
 In the preprocessing stage the face is cropped in each frame of the input video given facial annotations.
 The size of the face is normalized to ``FACE_SIZE`` dimensions. The faces of the size