diff --git a/MANIFEST.in b/MANIFEST.in
index ed3e0afe836f13926293a587d1209d4c69a86f92..d68a105d20fa89739637385ebdbff99001e4eaef 100644
--- a/MANIFEST.in
+++ b/MANIFEST.in
@@ -1,4 +1,5 @@
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
diff --git a/bob/pad/face/config/extractor/video_hist_of_sparse_codes.py b/bob/pad/face/config/extractor/video_hist_of_sparse_codes.py
deleted file mode 100644
index 6cce7e451642d3a04f685236775313250430127d..0000000000000000000000000000000000000000
--- a/bob/pad/face/config/extractor/video_hist_of_sparse_codes.py
+++ /dev/null
@@ -1,16 +0,0 @@
-#!/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)
-
-
diff --git a/bob/pad/face/config/preprocessor/dictionaries/dictionary_front_10_5_128.hdf5 b/bob/pad/face/config/preprocessor/dictionaries/dictionary_front_10_5_128.hdf5
new file mode 100644
index 0000000000000000000000000000000000000000..c45383582a2741a9ec7b4cf72b3e4b0789ac9b26
Binary files /dev/null and b/bob/pad/face/config/preprocessor/dictionaries/dictionary_front_10_5_128.hdf5 differ
diff --git a/bob/pad/face/config/preprocessor/dictionaries/dictionary_hor_10_5_128.hdf5 b/bob/pad/face/config/preprocessor/dictionaries/dictionary_hor_10_5_128.hdf5
new file mode 100644
index 0000000000000000000000000000000000000000..d845c33459faf3a4574ff71d35fa8f7f87275448
Binary files /dev/null and b/bob/pad/face/config/preprocessor/dictionaries/dictionary_hor_10_5_128.hdf5 differ
diff --git a/bob/pad/face/config/preprocessor/dictionaries/dictionary_vert_10_5_128.hdf5 b/bob/pad/face/config/preprocessor/dictionaries/dictionary_vert_10_5_128.hdf5
new file mode 100644
index 0000000000000000000000000000000000000000..ea5f90959c7f44494f79dc63760fb0d1abb1d1e5
Binary files /dev/null and b/bob/pad/face/config/preprocessor/dictionaries/dictionary_vert_10_5_128.hdf5 differ
diff --git a/bob/pad/face/config/preprocessor/video_sparse_coding.py b/bob/pad/face/config/preprocessor/video_sparse_coding.py
index 032e89bdc813713dfbcedd0106b2cd0c37eae614..732ea2305283c9927219f1dfd30bfb7edc83e2c7 100644
--- a/bob/pad/face/config/preprocessor/video_sparse_coding.py
+++ b/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
diff --git a/bob/pad/face/extractor/VideoHistOfSparseCodes.py b/bob/pad/face/extractor/VideoHistOfSparseCodes.py
deleted file mode 100644
index 9ef070943307d3417fca4d2518747aed5a0ac8d3..0000000000000000000000000000000000000000
--- a/bob/pad/face/extractor/VideoHistOfSparseCodes.py
+++ /dev/null
@@ -1,216 +0,0 @@
-#!/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
diff --git a/bob/pad/face/extractor/__init__.py b/bob/pad/face/extractor/__init__.py
index 1699d53449c3badf1c1f665dbb9a2c680f6e95f9..b8da75a8a5ce823c348ffa176a4b958fbe6b4aa3 100644
--- a/bob/pad/face/extractor/__init__.py
+++ b/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('_')]
diff --git a/setup.py b/setup.py
index 2dff88ee16c2a9173b0299e429c2d11e43276151..228505a442da3ff6ed99c33d09c2c447d25071ec 100644
--- a/setup.py
+++ b/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: