Merge branch 'dev_branch' into 'master'

Removed temp stuff from setup.py, cleaning of sparse coding algorithms

See merge request !17

MANIFEST.in

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

bob/pad/face/config/extractor/video_hist_of_sparse_codes.py

-#!/usr/bin/env python
-
-from bob.pad.face.extractor import VideoHistOfSparseCodes
-
-
-#=======================================================================================
-# Define instances here:
-
-METHOD = "mean"
-extractor_mean = VideoHistOfSparseCodes(method = METHOD)
-
-
-METHOD = "hist"
-extractor_hist = VideoHistOfSparseCodes(method = METHOD)
-
-

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

@@ -2,7 +2,6 @@
 
 from bob.pad.face.preprocessor import VideoSparseCoding
 
-
 #=======================================================================================
 # Define instances here:
 
@@ -10,116 +9,19 @@ BLOCK_SIZE = 5
 BLOCK_LENGTH = 10
 MIN_FACE_SIZE = 50
 NORM_FACE_SIZE = 64
-DICTIONARY_FILE_NAMES = ["/idiap/user/onikisins/Projects/ODIN/Python/scripts/test_scripts/data/dictionary_front.hdf5",
-                         "/idiap/user/onikisins/Projects/ODIN/Python/scripts/test_scripts/data/dictionary_hor.hdf5",
-                         "/idiap/user/onikisins/Projects/ODIN/Python/scripts/test_scripts/data/dictionary_vert.hdf5"]
-FRAME_STEP = 10
-
-preprocessor = VideoSparseCoding(gblock_size = BLOCK_SIZE,
-                                 block_length = BLOCK_LENGTH,
-                                 min_face_size = MIN_FACE_SIZE,
-                                 norm_face_size = NORM_FACE_SIZE,
-                                 dictionary_file_names = DICTIONARY_FILE_NAMES,
-                                 frame_step = FRAME_STEP)
-
-
-#=======================================================================================
-
-
-BLOCK_SIZE = 5
-BLOCK_LENGTH = 10
-MIN_FACE_SIZE = 50
-NORM_FACE_SIZE = 64
-DICTIONARY_FILE_NAMES = ["/idiap/user/onikisins/Projects/ODIN/Python/scripts/test_scripts/data/dictionary_front_10_5_16.hdf5",
-                         "/idiap/user/onikisins/Projects/ODIN/Python/scripts/test_scripts/data/dictionary_hor_10_5_16.hdf5",
-                         "/idiap/user/onikisins/Projects/ODIN/Python/scripts/test_scripts/data/dictionary_vert_10_5_16.hdf5"]
-FRAME_STEP = 2
-EXTRACT_HISTOGRAMS_FLAG = True
-
-preprocessor_10_5_16 = VideoSparseCoding(gblock_size = BLOCK_SIZE,
-                                         block_length = BLOCK_LENGTH,
-                                         min_face_size = MIN_FACE_SIZE,
-                                         norm_face_size = NORM_FACE_SIZE,
-                                         dictionary_file_names = DICTIONARY_FILE_NAMES,
-                                         frame_step = FRAME_STEP,
-                                         extract_histograms_flag = EXTRACT_HISTOGRAMS_FLAG)
-
-BLOCK_SIZE = 5
-BLOCK_LENGTH = 10
-MIN_FACE_SIZE = 50
-NORM_FACE_SIZE = 64
-DICTIONARY_FILE_NAMES = ["/idiap/user/onikisins/Projects/ODIN/Python/scripts/test_scripts/data/dictionary_front_10_5_32.hdf5",
-                         "/idiap/user/onikisins/Projects/ODIN/Python/scripts/test_scripts/data/dictionary_hor_10_5_32.hdf5",
-                         "/idiap/user/onikisins/Projects/ODIN/Python/scripts/test_scripts/data/dictionary_vert_10_5_32.hdf5"]
-FRAME_STEP = 2
-EXTRACT_HISTOGRAMS_FLAG = True
-
-preprocessor_10_5_32 = VideoSparseCoding(gblock_size = BLOCK_SIZE,
-                                         block_length = BLOCK_LENGTH,
-                                         min_face_size = MIN_FACE_SIZE,
-                                         norm_face_size = NORM_FACE_SIZE,
-                                         dictionary_file_names = DICTIONARY_FILE_NAMES,
-                                         frame_step = FRAME_STEP,
-                                         extract_histograms_flag = EXTRACT_HISTOGRAMS_FLAG)
-
-BLOCK_SIZE = 5
-BLOCK_LENGTH = 10
-MIN_FACE_SIZE = 50
-NORM_FACE_SIZE = 64
-DICTIONARY_FILE_NAMES = ["/idiap/user/onikisins/Projects/ODIN/Python/scripts/test_scripts/data/dictionary_front_10_5_64.hdf5",
-                         "/idiap/user/onikisins/Projects/ODIN/Python/scripts/test_scripts/data/dictionary_hor_10_5_64.hdf5",
-                         "/idiap/user/onikisins/Projects/ODIN/Python/scripts/test_scripts/data/dictionary_vert_10_5_64.hdf5"]
-FRAME_STEP = 2
-EXTRACT_HISTOGRAMS_FLAG = True
-
-preprocessor_10_5_64 = VideoSparseCoding(gblock_size = BLOCK_SIZE,
-                                         block_length = BLOCK_LENGTH,
-                                         min_face_size = MIN_FACE_SIZE,
-                                         norm_face_size = NORM_FACE_SIZE,
-                                         dictionary_file_names = DICTIONARY_FILE_NAMES,
-                                         frame_step = FRAME_STEP,
-                                         extract_histograms_flag = EXTRACT_HISTOGRAMS_FLAG)
-
-
-BLOCK_SIZE = 5
-BLOCK_LENGTH = 10
-MIN_FACE_SIZE = 50
-NORM_FACE_SIZE = 64
-DICTIONARY_FILE_NAMES = ["/idiap/user/onikisins/Projects/ODIN/Python/scripts/test_scripts/data/dictionary_front_10_5_128.hdf5",
-                         "/idiap/user/onikisins/Projects/ODIN/Python/scripts/test_scripts/data/dictionary_hor_10_5_128.hdf5",
-                         "/idiap/user/onikisins/Projects/ODIN/Python/scripts/test_scripts/data/dictionary_vert_10_5_128.hdf5"]
-FRAME_STEP = 2
-EXTRACT_HISTOGRAMS_FLAG = True
-
-preprocessor_10_5_128 = VideoSparseCoding(gblock_size = BLOCK_SIZE,
-                                         block_length = BLOCK_LENGTH,
-                                         min_face_size = MIN_FACE_SIZE,
-                                         norm_face_size = NORM_FACE_SIZE,
-                                         dictionary_file_names = DICTIONARY_FILE_NAMES,
-                                         frame_step = FRAME_STEP,
-                                         extract_histograms_flag = EXTRACT_HISTOGRAMS_FLAG)
-
-#=======================================================================================
-
-
-BLOCK_SIZE = 5
-BLOCK_LENGTH = 10
-MIN_FACE_SIZE = 50
-NORM_FACE_SIZE = 64
-DICTIONARY_FILE_NAMES = ["/idiap/user/onikisins/Projects/ODIN/Python/scripts/test_scripts/data/dictionary_front_10_5_64.hdf5",
-                         "/idiap/user/onikisins/Projects/ODIN/Python/scripts/test_scripts/data/dictionary_hor_10_5_64.hdf5",
-                         "/idiap/user/onikisins/Projects/ODIN/Python/scripts/test_scripts/data/dictionary_vert_10_5_64.hdf5"]
+DICTIONARY_FILE_NAMES = ["./dictionaries/dictionary_front_10_5_128.hdf5",
+                         "./dictionaries/dictionary_hor_10_5_128.hdf5",
+                         "./dictionaries/dictionary_vert_10_5_128.hdf5"]
 
 FRAME_STEP = 50 # (!) a small number of feature vectors will be computed
 EXTRACT_HISTOGRAMS_FLAG = True
-COMP_RECONSTRUCT_ERR_FLAG = True
-
-preprocessor_10_5_64_rec_err = VideoSparseCoding(gblock_size = BLOCK_SIZE,
-                                                 block_length = BLOCK_LENGTH,
-                                                 min_face_size = MIN_FACE_SIZE,
-                                                 norm_face_size = NORM_FACE_SIZE,
-                                                 dictionary_file_names = DICTIONARY_FILE_NAMES,
-                                                 frame_step = FRAME_STEP,
-                                                 extract_histograms_flag = EXTRACT_HISTOGRAMS_FLAG,
-                                                 comp_reconstruct_err_flag = COMP_RECONSTRUCT_ERR_FLAG)
+COMP_RECONSTRUCT_ERR_FLAG = False
 
+preprocessor_10_5_128 = VideoSparseCoding(gblock_size = BLOCK_SIZE,
+                                          block_length = BLOCK_LENGTH,
+                                          min_face_size = MIN_FACE_SIZE,
+                                          norm_face_size = NORM_FACE_SIZE,
+                                          dictionary_file_names = DICTIONARY_FILE_NAMES,
+                                          frame_step = FRAME_STEP,
+                                          extract_histograms_flag = EXTRACT_HISTOGRAMS_FLAG,
+                                          comp_reconstruct_err_flag = COMP_RECONSTRUCT_ERR_FLAG)
\ No newline at end of file

bob/pad/face/extractor/VideoHistOfSparseCodes.py

-#!/usr/bin/env python2
-# -*- coding: utf-8 -*-
-"""
-Created on Wed Sep 27 11:33:45 2017
-
-@author: Olegs Nikisins
-"""
-
-#==============================================================================
-# Import what is needed here:
-
-from bob.bio.base.extractor import Extractor
-
-import numpy as np
-
-import bob.bio.video
-
-from bob.pad.face.extractor import ImageQualityMeasure
-
-#==============================================================================
-# Main body:
-
-class VideoHistOfSparseCodes(Extractor, object):
-    """
-    This class is designed to extract histograms of sparse codes.
-
-    **Parameters:**
-
-    ``method`` : :py:class:`str`
-        A method to use in the histogram computation. Two options are available:
-        "mean" and "hist". Default: "mean".
-    """
-
-    #==========================================================================
-    def __init__(self,
-                 method = "mean"):
-
-        super(VideoHistOfSparseCodes, self).__init__(method = method)
-
-        self.method = method
-
-        # extractor to process a single image/frame:
-        extractor = ImageQualityMeasure()
-
-        # This extractor is used only to write and read the feature vectors.
-        self.video_extractor = bob.bio.video.extractor.Wrapper(extractor)
-
-
-    #==========================================================================
-    def comp_hist_of_sparse_codes(self, frames, method):
-        """
-        Compute the histograms of sparse codes.
-        """
-
-        histograms = []
-
-        for frame_data in frames:
-
-            frame = frame_data[1]
-
-            if method == "mean":
-
-                frame_codes = np.mean(frame, axis=1)
-
-            if method == "hist":
-
-                frame_codes = np.mean(frame!=0, axis=1)
-
-            for idx, row in enumerate(frame_codes):
-
-                frame_codes[idx,:] = row/np.sum(row)
-
-            hist = frame_codes.flatten()
-
-            histograms.append(hist)
-
-        return histograms
-
-
-    #==========================================================================
-    def convert_sparse_codes_to_frame_container(self, list_of_arrays):
-        """
-        Convert an input list of arrays into Frame Container.
-
-        **Parameters:**
-
-        ``list_of_arrays`` : [:py:class:`numpy.ndarray`]
-            A list of arrays.
-
-        **Returns:**
-
-        ``frame_container`` : FrameContainer
-            FrameContainer containing the feature vectors.
-        """
-
-        frame_container = bob.bio.video.FrameContainer() # initialize the FrameContainer
-
-        for idx, item in enumerate(list_of_arrays):
-
-            frame_container.add(idx, item) # add frame to FrameContainer
-
-        return frame_container
-
-
-    #==========================================================================
-    def reduce_features_number(self, list_of_arrays):
-        """
-        Reduce the number of features.
-        """
-
-        return_list = []
-
-        for item in list_of_arrays:
-
-            return_list.append( item[1][32:] )
-
-        return return_list
-
-
-    #==========================================================================
-    def select_reconstruction_vector(self, frames, sorted_flag):
-        """
-        Select either sorted or non-sorted reconstruction errors.
-        """
-
-        return_list = []
-
-        if sorted_flag:
-
-            for item in frames:
-
-                return_list.append( item[1][1,:] )
-
-        else:
-
-            for item in frames:
-
-                return_list.append( item[1][0,:] )
-
-#        return_list = []
-#
-#        for item in frames:
-#
-#            return_list.append( np.max(item[1], axis=1) )
-
-        return return_list
-
-
-    #==========================================================================
-    def __call__(self, frames):
-        """
-        Extract feature vectors.
-
-        **Parameters:**
-
-        ``frames`` : FrameContainer or string.
-            Data stored in the FrameContainer,
-            see ``bob.bio.video.utils.FrameContainer`` for further details.
-
-        **Returns:**
-
-        ``frame_container`` : FrameContainer
-            Histograms of sparse codes stored in the FrameContainer.
-        """
-
-#        histograms = self.comp_hist_of_sparse_codes(frames, self.method)
-
-#        histograms = self.reduce_features_number(frames)
-
-        sorted_flag = False
-
-        list_of_error_vecs = self.select_reconstruction_vector(frames, sorted_flag)
-
-        frame_container = self.convert_sparse_codes_to_frame_container(list_of_error_vecs)
-
-        return frame_container
-
-
-    #==========================================================================
-    def write_feature(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 Extractor class.
-
-        **Parameters:**
-
-        ``frames`` :
-            Data returned by the __call__ method of the class.
-
-        ``file_name`` : :py:class:`str`
-            Name of the file.
-        """
-
-        self.video_extractor.write_feature(frames, file_name)
-
-
-    #==========================================================================
-    def read_feature(self, file_name):
-        """
-        Reads the preprocessed data from file.
-        This method overwrites the read_data() method of the Extractor 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 = self.video_extractor.read_feature(file_name)
-
-        return frames

bob/pad/face/extractor/__init__.py

@@ -4,7 +4,7 @@ from .ImageQualityMeasure import ImageQualityMeasure
 from .VideoDataLoader import VideoDataLoader
 from .VideoQualityMeasure import VideoQualityMeasure
 from .FrameDiffFeatures import FrameDiffFeatures
-from .VideoHistOfSparseCodes import VideoHistOfSparseCodes
+
 
 def __appropriate__(*args):
     """Says object was actually declared here, and not in the import module.
@@ -31,6 +31,5 @@ __appropriate__(
     VideoQualityMeasure,
     VideoDataLoader,
     FrameDiffFeatures,
-    VideoHistOfSparseCodes,
 )
 __all__ = [_ for _ in dir() if not _.startswith('_')]

setup.py

@@ -103,14 +103,6 @@ setup(
         # registered preprocessors:
         'bob.pad.preprocessor': [
             'empty-preprocessor = bob.pad.face.config.preprocessor.filename:empty_preprocessor', # no preprocessing
-
-            # The sparse coding based preprocessors
-            'sparse-coding-preprocessor = bob.pad.face.config.preprocessor.video_sparse_coding:preprocessor',
-            'sparse-coding-preprocessor-10-5-16 = bob.pad.face.config.preprocessor.video_sparse_coding:preprocessor_10_5_16',
-            'sparse-coding-preprocessor-10-5-32 = bob.pad.face.config.preprocessor.video_sparse_coding:preprocessor_10_5_32',
-            'sparse-coding-preprocessor-10-5-64 = bob.pad.face.config.preprocessor.video_sparse_coding:preprocessor_10_5_64',
-            'sparse-coding-preprocessor-10-5-128 = bob.pad.face.config.preprocessor.video_sparse_coding:preprocessor_10_5_128',
-            'sparse-coding-preprocessor-10-5-64-rec-err = bob.pad.face.config.preprocessor.video_sparse_coding:preprocessor_10_5_64_rec_err',
             ],
 
         # registered extractors:
@@ -118,10 +110,6 @@ setup(
             'video-lbp-histogram-extractor-n8r1-uniform = bob.pad.face.config.extractor.video_lbp_histogram:video_lbp_histogram_extractor_n8r1_uniform',
             'video-quality-measure-galbally-msu = bob.pad.face.config.extractor.video_quality_measure:video_quality_measure_galbally_msu',
             'frame-diff-feat-extr-w20-over0 = bob.pad.face.config.extractor.frame_diff_features:frame_diff_feat_extr_w20_over0',
-
-            # extractors for sparse coding:
-            'hist-of-sparse-codes-mean = bob.pad.face.config.extractor.video_hist_of_sparse_codes:extractor_mean',
-            'hist-of-sparse-codes-hist = bob.pad.face.config.extractor.video_hist_of_sparse_codes:extractor_hist',
             ],
 
         # registered algorithms:
@@ -129,66 +117,6 @@ setup(
             'video-svm-pad-algorithm-10k-grid-mean-std = bob.pad.face.config.algorithm.video_svm_pad_algorithm:video_svm_pad_algorithm_10k_grid_mean_std',
             'video-svm-pad-algorithm-10k-grid-mean-std-frame-level = bob.pad.face.config.algorithm.video_svm_pad_algorithm:video_svm_pad_algorithm_10k_grid_mean_std_frame_level',
             'video-svm-pad-algorithm-default-svm-param-mean-std-frame-level = bob.pad.face.config.algorithm.video_svm_pad_algorithm:video_svm_pad_algorithm_default_svm_param_mean_std_frame_level',
-
-            # for grid search experiments with cascade of SVMs N = 2
-            'algorithm-n2-gamma-02 = bob.pad.face.config.algorithm.video_cascade_svm_pad_algorithm:algorithm_n2_gamma_02',
-            'algorithm-n2-gamma-01 = bob.pad.face.config.algorithm.video_cascade_svm_pad_algorithm:algorithm_n2_gamma_01',
-            'algorithm-n2-gamma-005 = bob.pad.face.config.algorithm.video_cascade_svm_pad_algorithm:algorithm_n2_gamma_005',
-            'algorithm-n2-gamma-001 = bob.pad.face.config.algorithm.video_cascade_svm_pad_algorithm:algorithm_n2_gamma_001',
-            'algorithm-n2-gamma-01-video-level = bob.pad.face.config.algorithm.video_cascade_svm_pad_algorithm:algorithm_n2_gamma_01_video_level',
-            'algorithm-n2-two-class-svm-c1-gamma-001 = bob.pad.face.config.algorithm.video_cascade_svm_pad_algorithm:algorithm_n2_two_class_svm_c1_gamma_001',
-
-            # for grid search experiments with cascade of SVMs N = 10
-            'algorithm-n10-gamma-01 = bob.pad.face.config.algorithm.video_cascade_svm_pad_algorithm:algorithm_n10_gamma_01',
-            'algorithm-n10-gamma-005 = bob.pad.face.config.algorithm.video_cascade_svm_pad_algorithm:algorithm_n10_gamma_005',
-            'algorithm-n10-gamma-001 = bob.pad.face.config.algorithm.video_cascade_svm_pad_algorithm:algorithm_n10_gamma_001',
-            'algorithm-n10-gamma-0005 = bob.pad.face.config.algorithm.video_cascade_svm_pad_algorithm:algorithm_n10_gamma_0005',
-
-            # for grid search experiments with cascade of SVMs N = 20
-            'algorithm-n20-gamma-05 = bob.pad.face.config.algorithm.video_cascade_svm_pad_algorithm:algorithm_n20_gamma_05',
-            'algorithm-n20-gamma-02 = bob.pad.face.config.algorithm.video_cascade_svm_pad_algorithm:algorithm_n20_gamma_02',
-            'algorithm-n20-gamma-01 = bob.pad.face.config.algorithm.video_cascade_svm_pad_algorithm:algorithm_n20_gamma_01',
-            'algorithm-n20-gamma-005 = bob.pad.face.config.algorithm.video_cascade_svm_pad_algorithm:algorithm_n20_gamma_005',
-            'algorithm-n20-gamma-001 = bob.pad.face.config.algorithm.video_cascade_svm_pad_algorithm:algorithm_n20_gamma_001',
-            'algorithm-n20-gamma-0005 = bob.pad.face.config.algorithm.video_cascade_svm_pad_algorithm:algorithm_n20_gamma_0005',
-            'algorithm-n20-gamma-0001 = bob.pad.face.config.algorithm.video_cascade_svm_pad_algorithm:algorithm_n20_gamma_0001',
-
-            # for grid search experiments using GMM
-            'algorithm-gmm-2 = bob.pad.face.config.algorithm.video_gmm_pad_algorithm:algorithm_gmm_2',
-            'algorithm-gmm-3 = bob.pad.face.config.algorithm.video_gmm_pad_algorithm:algorithm_gmm_3',
-            'algorithm-gmm-4 = bob.pad.face.config.algorithm.video_gmm_pad_algorithm:algorithm_gmm_4',
-            'algorithm-gmm-5 = bob.pad.face.config.algorithm.video_gmm_pad_algorithm:algorithm_gmm_5',
-            'algorithm-gmm-6 = bob.pad.face.config.algorithm.video_gmm_pad_algorithm:algorithm_gmm_6',
-            'algorithm-gmm-7 = bob.pad.face.config.algorithm.video_gmm_pad_algorithm:algorithm_gmm_7',
-            'algorithm-gmm-8 = bob.pad.face.config.algorithm.video_gmm_pad_algorithm:algorithm_gmm_8',
-            'algorithm-gmm-9 = bob.pad.face.config.algorithm.video_gmm_pad_algorithm:algorithm_gmm_9',
-            'algorithm-gmm-10 = bob.pad.face.config.algorithm.video_gmm_pad_algorithm:algorithm_gmm_10',
-            'algorithm-gmm-12 = bob.pad.face.config.algorithm.video_gmm_pad_algorithm:algorithm_gmm_12',
-            'algorithm-gmm-14 = bob.pad.face.config.algorithm.video_gmm_pad_algorithm:algorithm_gmm_14',
-            'algorithm-gmm-16 = bob.pad.face.config.algorithm.video_gmm_pad_algorithm:algorithm_gmm_16',
-            'algorithm-gmm-18 = bob.pad.face.config.algorithm.video_gmm_pad_algorithm:algorithm_gmm_18',
-            'algorithm-gmm-20 = bob.pad.face.config.algorithm.video_gmm_pad_algorithm:algorithm_gmm_20',
-            'algorithm-gmm-25 = bob.pad.face.config.algorithm.video_gmm_pad_algorithm:algorithm_gmm_25',
-            'algorithm-gmm-30 = bob.pad.face.config.algorithm.video_gmm_pad_algorithm:algorithm_gmm_30',
-            'algorithm-gmm-35 = bob.pad.face.config.algorithm.video_gmm_pad_algorithm:algorithm_gmm_35',
-            'algorithm-gmm-40 = bob.pad.face.config.algorithm.video_gmm_pad_algorithm:algorithm_gmm_40',
-            'algorithm-gmm-45 = bob.pad.face.config.algorithm.video_gmm_pad_algorithm:algorithm_gmm_45',
-            'algorithm-gmm-50 = bob.pad.face.config.algorithm.video_gmm_pad_algorithm:algorithm_gmm_50',
-            'algorithm-gmm-60 = bob.pad.face.config.algorithm.video_gmm_pad_algorithm:algorithm_gmm_60',
-            'algorithm-gmm-70 = bob.pad.face.config.algorithm.video_gmm_pad_algorithm:algorithm_gmm_70',
-            'algorithm-gmm-80 = bob.pad.face.config.algorithm.video_gmm_pad_algorithm:algorithm_gmm_80',
-            'algorithm-gmm-90 = bob.pad.face.config.algorithm.video_gmm_pad_algorithm:algorithm_gmm_90',
-            'algorithm-gmm-100 = bob.pad.face.config.algorithm.video_gmm_pad_algorithm:algorithm_gmm_100',
-            'algorithm-gmm-50-0 = bob.pad.face.config.algorithm.video_gmm_pad_algorithm:algorithm_gmm_50_0',
-            'algorithm-gmm-50-1 = bob.pad.face.config.algorithm.video_gmm_pad_algorithm:algorithm_gmm_50_1',
-            'algorithm-gmm-50-2 = bob.pad.face.config.algorithm.video_gmm_pad_algorithm:algorithm_gmm_50_2',
-            'algorithm-gmm-50-3 = bob.pad.face.config.algorithm.video_gmm_pad_algorithm:algorithm_gmm_50_3',
-            'algorithm-gmm-50-4 = bob.pad.face.config.algorithm.video_gmm_pad_algorithm:algorithm_gmm_50_4',
-            'algorithm-gmm-50-5 = bob.pad.face.config.algorithm.video_gmm_pad_algorithm:algorithm_gmm_50_5',
-            'algorithm-gmm-50-6 = bob.pad.face.config.algorithm.video_gmm_pad_algorithm:algorithm_gmm_50_6',
-            'algorithm-gmm-50-7 = bob.pad.face.config.algorithm.video_gmm_pad_algorithm:algorithm_gmm_50_7',
-            'algorithm-gmm-50-8 = bob.pad.face.config.algorithm.video_gmm_pad_algorithm:algorithm_gmm_50_8',
-            'algorithm-gmm-50-9 = bob.pad.face.config.algorithm.video_gmm_pad_algorithm:algorithm_gmm_50_9',
             ],
 
         # registered grid configurations: