Pavel KORSHUNOV
--- a/bob/pad/base/utils/helper_functions.py 0 → 100644
+++ b/bob/pad/base/utils/helper_functions.py 0 → 100644
+    """
+
+    feature_vectors = []
+
+    frame_dictionary = {}
+
+    for frame in frame_container:
+        frame_dictionary[frame[0]] = frame[1]
+
+    for idx, _ in enumerate(frame_container):
+        # Frames are stored in a mixed order, therefore we get them using incrementing frame index:
+        feature_vectors.append(frame_dictionary[str(idx)])
+
+    features_array = np.vstack(feature_vectors)
+
+    return features_array
--- a/bob/pad/base/utils/helper_functions.py 0 → 100644
+++ b/bob/pad/base/utils/helper_functions.py 0 → 100644
+
+    ``features_array`` : 2D :py:class:`numpy.ndarray`
+        An array containing features for all frames of all individuals.
+    """
+
+    feature_vectors = []
+
+    for frame_container in frame_containers:
+        video_features_array = self.convert_frame_cont_to_array(
+            frame_container)
+
+        feature_vectors.append(video_features_array)
+
+    features_array = np.vstack(feature_vectors)
+
+    return features_array
--- a/bob/pad/base/algorithm/SVM.py 0 → 100644
+++ b/bob/pad/base/algorithm/SVM.py 0 → 100644
+
+            data = [np.copy(real)]  # only real class used for training
+
+        # free the memory of unnecessary data
+        del real
+        del attack
+
+        machine = trainer.train(data)  # train the machine
+
+        if mean_std_norm_flag:
+            machine.input_subtract = features_mean  # subtract the mean of train data
+            machine.input_divide = features_std  # divide by std of train data
+
+        del data
+
+        return machine
--- a/bob/pad/base/utils/helper_functions.py 0 → 100644
+++ b/bob/pad/base/utils/helper_functions.py 0 → 100644
+        for further details. Each frame container contains one feature vector.
+    """
+
+    frame_container_list = []
+
+    for idx, vec in enumerate(data):
+
+        frame_container = bob.bio.video.FrameContainer(
+        )  # initialize the FrameContainer
+
+        frame_container.add(0, vec)
+
+        frame_container_list.append(
+            frame_container)  # add current frame to FrameContainer
+
+    return frame_container_list