update config files

bob/pad/face/config/brsu.py

 from bob.pad.face.database import BRSUPadDatabase
 from bob.pad.base.pipelines.vanilla_pad import DatabaseConnector
-from bob.extension import rc
 
-database = DatabaseConnector(
-    BRSUPadDatabase(
-        protocol="test",
-        original_directory=rc["bob.db.brsu.directory"],
-    )
-)
+database = DatabaseConnector(BRSUPadDatabase())

bob/pad/face/config/casiasurf.py

-#!/usr/bin/env python
-# encoding: utf-8
-
 from bob.pad.face.database import CasiaSurfPadDatabase
-from bob.extension import rc
+from bob.pad.base.pipelines.vanilla_pad import DatabaseConnector
 
-database = CasiaSurfPadDatabase(
-    protocol='all',
-    original_directory=rc['bob.db.casiasurf.directory'],
-    original_extension=".jpg",
-)
+database = DatabaseConnector(CasiaSurfPadDatabase())

bob/pad/face/config/casiasurf_color.py

 from bob.pad.face.database import CasiaSurfPadDatabase
 from bob.pad.base.pipelines.vanilla_pad import DatabaseConnector
-from bob.extension import rc
 
-database = DatabaseConnector(
-    CasiaSurfPadDatabase(
-        protocol="color",
-        original_directory=rc.get("bob.db.casiasurf.directory"),
-        original_extension=".jpg",
-    )
-)
+database = DatabaseConnector(CasiaSurfPadDatabase())

bob/pad/face/config/celeb_a.py

@@ -8,15 +8,7 @@ the link.
 
 """
 
-from bob.extension import rc
 from bob.pad.base.pipelines.vanilla_pad import DatabaseConnector
 from bob.pad.face.database.celeb_a import CELEBAPadDatabase
 
-database = DatabaseConnector(
-    CELEBAPadDatabase(
-        protocol="grandtest",
-        original_directory=rc.get("bob.db.celeba.directory"),
-        original_extension="",
-        training_depends_on_protocol=True,
-    )
-)
+database = DatabaseConnector(CELEBAPadDatabase())

bob/pad/face/config/lbp_64.py

 import bob.pipelines as mario
 from bob.bio.face.helpers import face_crop_solver
-from bob.bio.video import VideoLikeContainer
-from bob.bio.video.transformer import Wrapper as TransformerWrapper
+from bob.bio.video.transformer import VideoWrapper
 from bob.pad.face.extractor import LBPHistogram
 
 database = globals().get("database")
@@ -16,31 +15,22 @@ else:
 cropper = face_crop_solver(
     cropped_image_size=64, cropped_positions=annotation_type, color_channel="gray"
 )
-preprocessor = TransformerWrapper(cropper)
+preprocessor = VideoWrapper(cropper)
 preprocessor = mario.wrap(
-    ["sample", "checkpoint"],
+    ["sample"],
     preprocessor,
     transform_extra_arguments=(("annotations", "annotations"),),
-    features_dir="temp/faces-64",
-    save_func=VideoLikeContainer.save,
-    load_func=VideoLikeContainer.load,
 )
 
 # Extractor #
-extractor = TransformerWrapper(
+extractor = VideoWrapper(
     LBPHistogram(
-        lbptype="uniform",
-        elbptype="regular",
-        rad=1,
+        lbp_type="uniform",
+        elbp_type="regular",
+        radius=1,
         neighbors=8,
-        circ=False,
+        circular=False,
         dtype=None,
     )
 )
-extractor = mario.wrap(
-    ["sample", "checkpoint"],
-    extractor,
-    features_dir="temp/iqm-features",
-    save_func=VideoLikeContainer.save,
-    load_func=VideoLikeContainer.load,
-)
+extractor = mario.wrap(["sample"], extractor)

bob/pad/face/config/maskattack.py

 from bob.pad.face.database import MaskAttackPadDatabase
 from bob.pad.base.pipelines.vanilla_pad import DatabaseConnector
-from bob.extension import rc
 
-database = DatabaseConnector(
-    MaskAttackPadDatabase(
-        protocol="classification",
-        original_directory=rc.get("bob.db.maskattack.directory"),
-        original_extension=".avi",
-    )
-)
+database = DatabaseConnector(MaskAttackPadDatabase())

bob/pad/face/config/mifs.py

@@ -17,12 +17,5 @@ the link.
 """
 from bob.pad.face.database import MIFSPadDatabase
 from bob.pad.base.pipelines.vanilla_pad import DatabaseConnector
-from bob.extension import rc
 
-database = DatabaseConnector(
-    MIFSPadDatabase(
-        protocol="grandtest",
-        original_directory=rc.get("bob.db.mifs.directory"),
-        original_extension="",
-    )
-)
+database = DatabaseConnector(MIFSPadDatabase())

bob/pad/face/config/qm_64.py

 import bob.pipelines as mario
 from bob.bio.face.helpers import face_crop_solver
-from bob.bio.video import VideoLikeContainer
-from bob.bio.video.transformer import Wrapper as TransformerWrapper
+from bob.bio.video.transformer import VideoWrapper
 from bob.pad.face.extractor import ImageQualityMeasure
 
 database = globals().get("database")
@@ -14,22 +13,13 @@ else:
 
 # Preprocessor #
 cropper = face_crop_solver(cropped_image_size=64, cropped_positions=annotation_type)
-preprocessor = TransformerWrapper(cropper)
+preprocessor = VideoWrapper(cropper)
 preprocessor = mario.wrap(
-    ["sample", "checkpoint"],
+    ["sample"],
     preprocessor,
     transform_extra_arguments=(("annotations", "annotations"),),
-    features_dir="temp/faces-64",
-    save_func=VideoLikeContainer.save,
-    load_func=VideoLikeContainer.load,
 )
 
 # Extractor #
-extractor = TransformerWrapper(ImageQualityMeasure(galbally=True, msu=True, dtype=None))
-extractor = mario.wrap(
-    ["sample", "checkpoint"],
-    extractor,
-    features_dir="temp/iqm-features",
-    save_func=VideoLikeContainer.save,
-    load_func=VideoLikeContainer.load,
-)
+extractor = VideoWrapper(ImageQualityMeasure(galbally=True, msu=True, dtype=None))
+extractor = mario.wrap(["sample"], extractor)

bob/pad/face/config/replay_attack.py

@@ -11,12 +11,5 @@ the link.
 """
 from bob.pad.face.database import ReplayPadDatabase
 from bob.pad.base.pipelines.vanilla_pad import DatabaseConnector
-from bob.extension import rc
 
-database = DatabaseConnector(
-    ReplayPadDatabase(
-        protocol="grandtest",
-        original_directory=rc.get("bob.db.replay.directory"),
-        original_extension=".mov",
-    )
-)
+database = DatabaseConnector(ReplayPadDatabase())

bob/pad/face/config/replay_mobile.py

@@ -14,12 +14,5 @@ the link.
 """
 from bob.pad.face.database import ReplayMobilePadDatabase
 from bob.pad.base.pipelines.vanilla_pad import DatabaseConnector
-from bob.extension import rc
 
-database = DatabaseConnector(
-    ReplayMobilePadDatabase(
-        protocol="grandtest",
-        original_directory=rc.get("bob.db.replaymobile.directory"),
-        original_extension=".mov",
-    )
-)
+database = DatabaseConnector(ReplayMobilePadDatabase())

bob/pad/face/config/svm_frames.py

 import bob.pipelines as mario
 from bob.pad.face.transformer import VideoToFrames
 from sklearn.model_selection import GridSearchCV
-from sklearn.pipeline import make_pipeline
+from sklearn.pipeline import Pipeline
 from sklearn.svm import SVC
 
 preprocessor = globals().get("preprocessor")
@@ -20,13 +20,16 @@ param_grid = [
 
 classifier = GridSearchCV(SVC(), param_grid=param_grid, cv=3)
 classifier = mario.wrap(
-    ["sample", "checkpoint"],
+    ["sample"],
     classifier,
     fit_extra_arguments=[("y", "is_bonafide")],
-    model_path="temp/svm.pkl",
 )
 
 
 # Pipeline #
-frames_classifier = make_pipeline(frame_cont_to_array, classifier)
-pipeline = make_pipeline(preprocessor, extractor, frames_classifier)
+frames_classifier = Pipeline([("frame_cont_to_array", frame_cont_to_array), ("classifier", classifier)])
+pipeline = Pipeline([
+    ("preprocessor", preprocessor),
+    ("extractor", extractor),
+    ("svm", frames_classifier),
+])