Added unit test for the ImageFaceCrop preprocessor

MANIFEST.in

 include README.rst bootstrap-buildout.py buildout.cfg COPYING version.txt requirements.txt
 recursive-include doc *.py *.rst *.ico *.png
-recursive-include bob/pad/face/test/data *.hdf5
+recursive-include bob/pad/face/test/data *.hdf5 *.png

bob/pad/face/__init__.py

-from . import algorithm, extractor, preprocessor, database
+from . import algorithm, extractor, preprocessor, database, test
 
 
 def get_config():

bob/pad/face/test/test.py

@@ -3,14 +3,23 @@
 
 """Test Units
 """
+#==============================================================================
+# Import what is needed here:
 import numpy as np
+
 from bob.io.base.test_utils import datafile
+
 from bob.io.base import load
+
 import bob.io.image  # for image loading functionality
+
 from bob.ip.color import rgb_to_gray
+
 from ..extractor import LBPHistogram
 
+from ..preprocessor import ImageFaceCrop
 
+#==============================================================================
 def test_lbp_histogram():
     lbp = LBPHistogram()
     img = load(datafile('testimage.jpg', 'bob.bio.face.test'))
@@ -18,3 +27,25 @@ def test_lbp_histogram():
     features = lbp(img)
     reference = load(datafile('lbp.hdf5', 'bob.pad.face.test'))
     assert np.allclose(features, reference)
+
+
+#==============================================================================
+def test_image_face_crop():
+    """
+    Test ImageFaceCrop preprocessor, which is designed to crop faces in the images.
+    """
+
+    image = load(datafile('test_image.png', 'bob.pad.face.test'))
+    annotations = {'topleft': (95, 155), 'bottomright': (215, 265)}
+
+    preprocessor = ImageFaceCrop(face_size = 64, rgb_output_flag = False)
+    face = preprocessor(image, annotations)
+
+    assert face.shape == (64, 64)
+    assert np.sum(face) == 429158
+
+    preprocessor = ImageFaceCrop(face_size = 64, rgb_output_flag = True)
+    face = preprocessor(image, annotations)
+
+    assert face.shape == (3, 64, 64)
+    assert np.sum(face) == 1215525
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