Added a few entry points for VideoFaceCrop and Grid

bob/pad/face/config/grid.py

+#!/usr/bin/env python
+# vim: set fileencoding=utf-8 :
+
+from bob.bio.base.grid import Grid
+
+# Configuration to run on computation cluster:
+idiap = Grid(
+    training_queue='32G',
+
+    number_of_preprocessing_jobs=32,
+    preprocessing_queue='4G-io-big',
+
+    number_of_extraction_jobs=32,
+    extraction_queue='8G-io-big',
+
+    number_of_projection_jobs=32,
+    projection_queue='8G-io-big',
+
+    number_of_enrollment_jobs=32,
+    enrollment_queue='8G-io-big',
+
+    number_of_scoring_jobs=50,
+    scoring_queue='8G-io-big',
+    )
+
+# Configuration to run on user machines:
+idiap_user_machines = Grid(
+    training_queue='32G',
+
+    number_of_preprocessing_jobs=32,
+    preprocessing_queue='4G',
+
+    number_of_extraction_jobs=32,
+    extraction_queue='8G',
+
+    number_of_projection_jobs=32,
+    projection_queue='8G',
+
+    number_of_enrollment_jobs=32,
+    enrollment_queue='8G',
+
+    number_of_scoring_jobs=50,
+    scoring_queue='8G',
+    )

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

+#!/usr/bin/env python
+
+from bob.pad.face.preprocessor import VideoFaceCrop
+
+
+#=======================================================================================
+# Define instances here:
+
+cropped_image_size = (100, 100) # The size of the resulting face
+cropped_positions = { 'topleft' : (0,0) , 'bottomright' : cropped_image_size}
+fixed_positions = None
+mask_sigma = None        # The sigma for random values areas outside image
+mask_neighbors = 5       # The number of neighbors to consider while extrapolating
+mask_seed = None         # The seed for generating random values during extrapolation
+color_channel = 'gray'   # Convert image to gray-scale format
+
+video_face_crop_preproc_100_100 = VideoFaceCrop(cropped_image_size = cropped_image_size,
+                                                cropped_positions = cropped_positions,
+                                                fixed_positions = fixed_positions,
+                                                mask_sigma = mask_sigma,
+                                                mask_neighbors = mask_neighbors,
+                                                mask_seed = None,
+                                                color_channel = color_channel)

setup.py

@@ -93,10 +93,22 @@ setup(
             'version.py = bob.pad.face.script.version:main',
             ],
 
+        # registered databases:
         'bob.pad.database': [
             'replay = bob.pad.face.config.database.replay:database',
             ],
 
+        # registered preprocessors:
+        'bob.pad.preprocessor': [
+            'video-face-crop-preproc-100 = bob.pad.face.config.preprocessor.video_face_crop:video_face_crop_preproc_100_100',
+            ],
+
+        # registered grid configurations:
+        'bob.pad.grid': [
+            'idiap = bob.pad.face.config.grid:idiap',
+            'idiap-user-machines = bob.pad.face.config.grid:idiap_user_machines',
+            ],
+
     },
 
     # Classifiers are important if you plan to distribute this package through