diff --git a/bob/pad/face/preprocessor/VideoFaceCrop.py b/bob/pad/face/preprocessor/VideoFaceCrop.py
new file mode 100644
index 0000000000000000000000000000000000000000..0c7aa5efe6329c866b967713c18a3e8e4d2bb004
--- /dev/null
+++ b/bob/pad/face/preprocessor/VideoFaceCrop.py
@@ -0,0 +1,166 @@
+#!/usr/bin/env python2
+# -*- coding: utf-8 -*-
+"""
+Created on Fri May 12 14:14:23 2017
+
+@author: onikisins
+"""
+#==============================================================================
+# Import what is needed here:
+
+from bob.bio.base.preprocessor import Preprocessor
+
+from bob.bio.face.preprocessor import FaceCrop
+
+import bob.bio.video
+
+#==============================================================================
+# Main body:
+
+class VideoFaceCrop(Preprocessor, object):
+ """
+ This class is designed to crop faces in each frame of the input video given
+ annotations defining the position of the face.
+
+ **Parameters:**
+
+ ``cropped_image_size`` : (int, int)
+ The size of the resulting cropped images.
+
+ ``cropped_positions`` : :py:class:`dict`
+ The coordinates in the cropped image, where the annotated points should be put to.
+ This parameter is a dictionary with usually two elements, e.g., ``{'reye':(RIGHT_EYE_Y, RIGHT_EYE_X) , 'leye':(LEFT_EYE_Y, LEFT_EYE_X)}``.
+ However, also other parameters, such as ``{'topleft' : ..., 'bottomright' : ...}`` are supported, as long as the ``annotations`` in the `__call__` function are present.
+
+ ``fixed_positions`` : :py:class:`dict`
+ Or None.
+ If specified, ignore the annotations from the database and use these fixed positions throughout.
+
+ ``mask_sigma`` : :py:class:`float`
+ Or None
+ Fill the area outside of image boundaries with random pixels from the border, by adding noise to the pixel values.
+ To disable extrapolation, set this value to ``None``.
+ To disable adding random noise, set it to a negative value or 0.
+
+ ``mask_neighbors`` : :py:class:`int`
+ The number of neighbors used during mask extrapolation.
+ See :py:func:`bob.ip.base.extrapolate_mask` for details.
+
+ ``mask_seed`` : :py:class:`int`
+ Or None.
+ The random seed to apply for mask extrapolation.
+
+ .. warning::
+ When run in parallel, the same random seed will be applied to all parallel processes.
+ Hence, results of parallel execution will differ from the results in serial execution.
+
+ ``kwargs``
+ Remaining keyword parameters passed to the :py:class:`Base` constructor, such as ``color_channel`` or ``dtype``.
+
+ """
+
+ #==========================================================================
+ def __init__(self,
+ cropped_image_size,
+ cropped_positions,
+ fixed_positions = None,
+ mask_sigma = None,
+ mask_neighbors = 5,
+ mask_seed = None,
+ **kwargs):
+
+ super(VideoFaceCrop, self).__init__(cropped_image_size = cropped_image_size,
+ cropped_positions = cropped_positions,
+ fixed_positions = fixed_positions,
+ mask_sigma = mask_sigma,
+ mask_neighbors = mask_neighbors,
+ mask_seed = mask_seed,
+ **kwargs)
+
+ self.cropped_image_size = cropped_image_size
+ self.cropped_positions = cropped_positions
+ self.fixed_positions = fixed_positions
+ self.mask_sigma = mask_sigma
+ self.mask_neighbors = mask_neighbors
+ self.mask_seed = mask_seed
+
+ # Save also the data stored in the kwargs:
+ for (k, v) in kwargs.items():
+ setattr(self, k, v)
+
+ self.preprocessor = FaceCrop(cropped_image_size = cropped_image_size,
+ cropped_positions = cropped_positions,
+ fixed_positions = fixed_positions,
+ mask_sigma = mask_sigma,
+ mask_neighbors = mask_neighbors,
+ mask_seed = mask_seed,
+ **kwargs)
+
+ #==========================================================================
+ def __call__(self, frames, annotations):
+ """
+ Crop the face in the input video frames given annotations for each frame.
+
+ **Parameters:**
+
+ ``image`` : FrameContainer
+ Video data stored in the FrameContainer, see ``bob.bio.video.utils.FrameContainer``
+ for further details.
+
+ ``annotations`` : :py:class:`dict`
+ A dictionary containing the annotations for each frame in the video.
+ Dictionary structure: ``annotations = {'1': frame1_dict, '2': frame1_dict, ...}``.
+ Where ``frameN_dict = {'topleft': (row, col), 'bottomright': (row, col)}``
+ is the dictionary defining the coordinates of the face bounding box in frame N.
+
+ **Returns:**
+
+ ``preprocessed_video`` : FrameContainer
+ Cropped faces stored in the FrameContainer.
+ """
+
+ video_preprocessor = bob.bio.video.preprocessor.Wrapper(self.preprocessor)
+
+ preprocessed_video = video_preprocessor(frames = frames, annotations = annotations)
+
+ return preprocessed_video
+
+ #==========================================================================
+ def write_data( self, frames, file_name ):
+ """
+ Writes the given data (that has been generated using the __call__ function of this class) to file.
+ This method overwrites the write_data() method of the Preprocessor class.
+
+ **Parameters:**
+
+ ``frames`` :
+ data returned by the __call__ method of the class.
+
+ ``file_name`` : :py:class:`str`
+ name of the file.
+ """
+
+ bob.bio.video.preprocessor.Wrapper.write_data(frames, file_name)
+
+ #==========================================================================
+ def read_data( self, file_name ):
+ """
+ Reads the preprocessed data from file.
+ his method overwrites the read_data() method of the Preprocessor class.
+
+ **Parameters:**
+
+ ``file_name`` : :py:class:`str`
+ name of the file.
+
+ **Returns:**
+
+ ``frames`` : :py:class:`bob.bio.video.FrameContainer`
+ Frames stored in the frame container.
+ """
+
+ frames = bob.bio.video.preprocessor.Wrapper.read_data(file_name)
+
+ return frames
+
+
diff --git a/bob/pad/face/preprocessor/__init__.py b/bob/pad/face/preprocessor/__init__.py
index e69de29bb2d1d6434b8b29ae775ad8c2e48c5391..60586054834555c02d0e06f3964dc5272657e023 100644
--- a/bob/pad/face/preprocessor/__init__.py
+++ b/bob/pad/face/preprocessor/__init__.py
@@ -0,0 +1,25 @@
+from .VideoFaceCrop import VideoFaceCrop
+
+
+def __appropriate__(*args):
+ """Says object was actually declared here, and not in the import module.
+ Fixing sphinx warnings of not being able to find classes, when path is
+ shortened.
+
+ Parameters
+ ----------
+ *args
+ The objects that you want sphinx to beleive that are defined here.
+
+ Resolves `Sphinx referencing issues <https//github.com/sphinx-
+ doc/sphinx/issues/3048>`
+ """
+
+ for obj in args:
+ obj.__module__ = __name__
+
+
+__appropriate__(
+ VideoFaceCrop,
+)
+__all__ = [_ for _ in dir() if not _.startswith('_')]