From 2abe769abd1ec79d60ee65451d8984330555150a Mon Sep 17 00:00:00 2001
From: Olegs NIKISINS <onikisins@italix03.idiap.ch>
Date: Thu, 13 Sep 2018 10:06:24 +0200
Subject: [PATCH] Updated BATL HLDI: added rc, skin/non-skin annotations,
multi-channel laoding functionalities
---
bob/pad/face/database/batl.py | 173 ++++++++++++++----
.../color_skin_non_skin_annotations/README | 47 +++++
.../annotations_train_set.json | 1 +
3 files changed, 187 insertions(+), 34 deletions(-)
create mode 100644 bob/pad/face/lists/batl/color_skin_non_skin_annotations/README
create mode 100644 bob/pad/face/lists/batl/color_skin_non_skin_annotations/annotations_train_set.json
diff --git a/bob/pad/face/database/batl.py b/bob/pad/face/database/batl.py
index 284e0bf5..99a2ec28 100644
--- a/bob/pad/face/database/batl.py
+++ b/bob/pad/face/database/batl.py
@@ -1,6 +1,7 @@
#!/usr/bin/env python2
# -*- coding: utf-8 -*-
+# =============================================================================
# Used in BATLMobilePadFile class
from bob.pad.base.database import PadDatabase, PadFile
from bob.bio.video import FrameSelector
@@ -14,7 +15,10 @@ import os
import bob.io.base
+import pkg_resources
+
+# =============================================================================
class BatlPadFile(PadFile):
"""
A high level implementation of the File class for the BATL
@@ -91,6 +95,7 @@ class BatlPadFile(PadFile):
self.crop = crop # None
self.video_data_only = video_data_only # True
+
def load(self, directory=None, extension='.h5',
frame_selector=FrameSelector(selection_style='all')):
"""
@@ -111,32 +116,52 @@ class BatlPadFile(PadFile):
**Returns:**
- ``data`` : FrameContainer
+ ``data`` : FrameContainer or :py:class:`dict`
Video data stored in the FrameContainer,
see ``bob.bio.video.utils.FrameContainer``
for further details.
+
+ OR Video data for multiple streams stored in the dictionary. The
+ structure of the dictionary:
+ ``data={"stream1_name" : FrameContainer1, "stream2_name" : ...}``
+ Names of the streams are defined in ``self.stream_type``.
"""
- data = self.f.load(directory=directory,
- extension=extension,
- modality=self.stream_type,
- reference_stream_type=self.reference_stream_type,
- warp_to_reference=self.warp_to_reference,
- convert_to_rgb=self.convert_to_rgb,
- crop=self.crop,
- max_frames=self.max_frames)
+ if not isinstance(self.stream_type, list): # make stream_type a list, if not already
+
+ self.stream_type = [self.stream_type]
+
+ data_all_streams = {}
+
+ for stream in self.stream_type:
- for meta_data in data.keys():
- if meta_data != 'rppg':
- data[meta_data] = frame_selector(data[meta_data])
+ data = self.f.load(directory=directory,
+ extension=extension,
+ modality=stream,
+ reference_stream_type=self.reference_stream_type,
+ warp_to_reference=self.warp_to_reference,
+ convert_to_rgb=self.convert_to_rgb,
+ crop=self.crop,
+ max_frames=self.max_frames)
- if self.video_data_only:
+ for meta_data in data.keys():
+ if meta_data != 'rppg':
+ data[meta_data] = frame_selector(data[meta_data])
- data = data['video']
+ if self.video_data_only:
- return data
+ data = data['video']
+ if len(self.stream_type) == 1:
+ return data
+
+ data_all_streams[stream] = data
+
+ return data_all_streams
+
+
+# =============================================================================
class BatlPadDatabase(PadDatabase):
"""
A high level implementation of the Database class for the BATL
@@ -145,13 +170,16 @@ class BatlPadDatabase(PadDatabase):
def __init__(
self,
- protocol='nowig',
+ protocol='grandtest',
original_directory=rc['bob.db.batl.directory'],
original_extension='.h5',
- annotations_temp_dir="",
+ annotations_temp_dir=rc['bob.pad.face.database.batl.annotations_temp_dir'],
landmark_detect_method="mtcnn",
- exlude_attacks_list=None,
+ exclude_attacks_list=['makeup'],
+ exclude_pai_all_sets=True,
+ append_color_face_roi_annot=False,
**kwargs):
+
"""
**Parameters:**
@@ -159,15 +187,25 @@ class BatlPadDatabase(PadDatabase):
The name of the protocol that defines the default experimental
setup for this database. Also a "complex" protocols can be
parsed.
+
For example:
- "nowig-color-5" - nowig protocol, color data only,
+
+ "grandtest-color-5" - baseline protocol, color data only,
use 5 first frames.
- "nowig-depth-5" - nowig protocol, depth data only,
+
+ "grandtest-depth-5" - baseline protocol, depth data only,
use 5 first frames.
- "nowig-color" - nowig protocol, depth data only, use all frames.
- "nowig-infrared-50-join_train_dev" - nowig protocol,
+
+ "grandtest-color" - baseline protocol, depth data only, use all frames.
+
+ "grandtest-infrared-50-join_train_dev" - baseline protocol,
infrared data only, use 50 frames, join train and dev sets forming
a single large training set.
+
+ "grandtest-color*infrared-50" - baseline protocol,
+ load both "color" and "infrared" channels,
+ use 50 frames.
+
See the ``parse_protocol`` method of this class.
``original_directory`` : str
@@ -187,12 +225,31 @@ class BatlPadDatabase(PadDatabase):
landmarks. Possible options: "dlib" or "mtcnn".
Default: ``"mtcnn"``.
- ``exlude_attacks_list`` : [str]
+ ``exclude_attacks_list`` : [str]
A list of strings defining which attacks should be excluded from
the training set. This shoould be handled in ``objects()`` method.
Currently handled attacks: "makeup".
Default: ``None``.
+ ``exclude_pai_all_sets`` : bool
+ If ``True`` attacks (PAI) listed in ``exclude_attacks_list`` will
+ be excluded from all the sets - training, development and
+ evaluation.
+ Otherwise attacks are excluded from the training set, when the
+ training set is requested.
+ Default: ``False``.
+
+ ``append_color_face_roi_annot`` : bool
+ If ``True``, annotations specifying ROI in the facial region of the
+ color channel will be appendended to the annotations dictionary.
+ Annotations to append are located in the
+ ``lists/batl/color_skin_non_skin_annotations/`` folder of this
+ package. See the README in the folder for more details.
+ Annotations will be placed in the ``annotations`` dictionary,
+ in the field named ``face_roi``.
+ See ``self.annotations()`` method for more details.
+ Default: False.
+
``kwargs`` : dict
The arguments of the :py:class:`bob.bio.base.database.BioDatabase`
base class constructor.
@@ -224,28 +281,33 @@ class BatlPadDatabase(PadDatabase):
self.original_extension = original_extension
self.annotations_temp_dir = annotations_temp_dir
self.landmark_detect_method = landmark_detect_method
- self.exlude_attacks_list = exlude_attacks_list
+ self.exclude_attacks_list = exclude_attacks_list
+ self.exclude_pai_all_sets = exclude_pai_all_sets
+ self.append_color_face_roi_annot = append_color_face_roi_annot
+
@property
def original_directory(self):
return self.db.original_directory
+
@original_directory.setter
def original_directory(self, value):
self.db.original_directory = value
+
def parse_protocol(self, protocol):
"""
Parse the protocol name, which is give as a string.
An example of protocols it can parse:
- "nowig-color-5" - nowig protocol, color data only, use 5 first frames.
- "nowig-depth-5" - nowig protocol, depth data only, use 5 first frames.
- "nowig-color" - nowig protocol, depth data only, use all frames.
+ "grandtest-color-5" - grandtest protocol, color data only, use 5 first frames.
+ "grandtest-depth-5" - grandtest protocol, depth data only, use 5 first frames.
+ "grandtest-color" - grandtest protocol, depth data only, use all frames.
**Parameters:**
``protocol`` : str
- Protocol name to be parsed. Example: "nowig-depth-5" .
+ Protocol name to be parsed. Example: "grandtest-depth-5" .
**Returns:**
@@ -284,12 +346,17 @@ class BatlPadDatabase(PadDatabase):
protocol, stream_type, max_frames = components
+ if stream_type is not None and "*" in stream_type: # multiple streams can be separated with * symbol in the protocol name
+
+ stream_type = stream_type.split("*")
+
if max_frames is not None:
max_frames = int(max_frames)
return protocol, stream_type, max_frames, extra
+
def _fix_funny_eyes_in_objects(self, protocol, groups, purposes):
"""
This function redistributes FunnyEyes PAs accross 'train', 'dev' and
@@ -326,6 +393,9 @@ class BatlPadDatabase(PadDatabase):
Interface.
"""
+ # "grandtest" in HLDI is actually a "nowig" in LLDI, thus rename if necessary:
+ protocol = 'nowig' if protocol == 'grandtest' else protocol
+
if groups is None:
groups = self.low_level_group_names
@@ -369,6 +439,7 @@ class BatlPadDatabase(PadDatabase):
return files
+
def objects(self,
protocol=None,
groups=None,
@@ -415,6 +486,9 @@ class BatlPadDatabase(PadDatabase):
protocol, stream_type, max_frames, extra = self.parse_protocol(protocol)
+ # "grandtest" in HLDI is actually a "nowig" in LLDI, thus rename if necessary:
+ protocol = 'nowig' if protocol == 'grandtest' else protocol
+
# Convert group names to low-level group names here.
groups = self.convert_names_to_lowlevel(
groups, self.low_level_group_names, self.high_level_group_names)
@@ -442,13 +516,24 @@ class BatlPadDatabase(PadDatabase):
purposes=purposes, **kwargs)
else:
- files = self._fix_funny_eyes_in_objects(protocol=protocol,
- groups=groups,
- purposes=purposes, **kwargs)
+# files = self._fix_funny_eyes_in_objects(protocol=protocol,
+# groups=groups,
+# purposes=purposes, **kwargs)
+
+ # the distribution of funny eyes is not modified anymore:
+ files = self.db.objects(protocol=protocol,
+ groups=groups,
+ purposes=purposes, **kwargs)
+
+ groups = ['train'] if groups == ['train', 'train'] else groups
+
+ if self.exclude_attacks_list is not None and "makeup" in self.exclude_attacks_list:
+
+ if self.exclude_pai_all_sets:
+
+ files = [f for f in files if os.path.split(f.path)[-1].split("_")[-2:-1][0] != "5"]
- if groups == 'train' or 'train' in groups and len(groups) == 1:
- # exclude "makeup" case
- if self.exlude_attacks_list is not None and "makeup" in self.exlude_attacks_list:
+ if groups == 'train' or 'train' in groups and len(groups) == 1 and not self.exclude_pai_all_sets:
files = [f for f in files if os.path.split(f.path)[-1].split("_")[-2:-1][0] != "5"]
@@ -456,6 +541,7 @@ class BatlPadDatabase(PadDatabase):
return files
+
def annotations(self, f):
"""
Computes annotations for a given file object ``f``, which
@@ -525,4 +611,23 @@ class BatlPadDatabase(PadDatabase):
return None
+ # If specified append annotations for the roi in the facial region:
+ if self.append_color_face_roi_annot:
+
+ file_path = pkg_resources.resource_filename( 'bob.pad.face', os.path.join('lists/batl/color_skin_non_skin_annotations/', "annotations_train_set" + ".json") )
+
+ with open(file_path, 'r') as json_file: # open the file containing all annotations:
+
+ roi_annotations = json.load(json_file) # load the annotations
+
+ if not f.f.path in roi_annotations: # no annotations for this file
+
+ return None
+
+ else: # annotations are available
+
+ annotations['face_roi'] = roi_annotations[f.f.path]
+
return annotations
+
+
diff --git a/bob/pad/face/lists/batl/color_skin_non_skin_annotations/README b/bob/pad/face/lists/batl/color_skin_non_skin_annotations/README
new file mode 100644
index 00000000..1c2dab49
--- /dev/null
+++ b/bob/pad/face/lists/batl/color_skin_non_skin_annotations/README
@@ -0,0 +1,47 @@
+Files contain annotations for the color images in the training set of the Idiap BATL database.
+
+A region correponding to non-skin pixels is annotated in the "Attack" samples, and
+region corresponding to skin pixels is annotated in the "Bona-fide" samples.
+
+Annotations define a top-left and bottom-right corners of the ROI.
+
+Note, annotations are made in images, which are first preprocessed. In this case
+preprocessing is face detection, cropping and alignment.
+
+The following pre-preprocessor was used before annotating:
+
+
+FACE_SIZE = 128 # The size of the resulting face
+RGB_OUTPUT_FLAG = True # RGB output
+USE_FACE_ALIGNMENT = True # use annotations, which are coming from the database
+MAX_IMAGE_SIZE = None # no limiting here
+FACE_DETECTION_METHOD = None # use annotations
+MIN_FACE_SIZE = 50 # skip small faces
+
+_image_preprocessor = FaceCropAlign(face_size = FACE_SIZE,
+ rgb_output_flag = RGB_OUTPUT_FLAG,
+ use_face_alignment = USE_FACE_ALIGNMENT,
+ max_image_size = MAX_IMAGE_SIZE,
+ face_detection_method = FACE_DETECTION_METHOD,
+ min_face_size = MIN_FACE_SIZE)
+
+_frame_selector = FrameSelector(selection_style = "all")
+
+_preprocessor_rgb = Wrapper(preprocessor = _image_preprocessor,
+ frame_selector = _frame_selector)
+
+
+The following setting were used for the database instance:
+
+database = BatlPadDatabase(
+ protocol='grandtest-color*infrared*depth-1', # just one frame is selected for annotation
+ original_directory="/idiap/project/batl/datasets/database-batl-idiap/",
+ original_extension=".h5",
+ annotations_temp_dir="", # don't use precomputed annotations
+ landmark_detect_method="mtcnn", # mtcnn is used for landmark detection, above preprocessor is using these landmarks (FACE_DETECTION_METHOD = None)
+ exclude_attacks_list=['makeup'], # makeup is excluded from annotations
+ exclude_pai_all_sets=True)
+
+Note: eye-regions and medical glasses are also considered as BF patches in bona-fide faces.
+
+
diff --git a/bob/pad/face/lists/batl/color_skin_non_skin_annotations/annotations_train_set.json b/bob/pad/face/lists/batl/color_skin_non_skin_annotations/annotations_train_set.json
new file mode 100644
index 00000000..fa26a71d
--- /dev/null
+++ b/bob/pad/face/lists/batl/color_skin_non_skin_annotations/annotations_train_set.json
@@ -0,0 +1 @@
+{"face-station/17.01.18/002_01_003_2_81": [[6, 49], [118, 122]], "face-station/14.03.18/002_04_010_2_82": [[3, 45], [113, 124]], "face-station/14.03.18/002_04_010_2_13": [[21, 4], [99, 124]], "face-station/14.03.18/002_04_010_2_81": [[4, 46], [118, 123]], "face-station/29.01.18/002_01_020_2_13": [[8, 4], [106, 121]], "face-station/30.01.18/002_01_028_2_82": [[18, 42], [110, 122]], "face-station/31.01.18/002_01_034_2_81": [[9, 44], [116, 122]], "face-station/07.02.18/002_02_044_2_82": [[17, 43], [104, 121]], "face-station/01.02.18/002_01_000_0_00": [[14, 2], [109, 120]], "face-station/01.02.18/002_01_000_0_01": [[15, 2], [109, 119]], "face-station/02.02.18/002_01_056_2_82": [[17, 41], [103, 122]], "face-station/02.02.18/002_01_050_2_13": [[20, 4], [101, 122]], "face-station/06.02.18/002_02_055_2_13": [[11, 43], [109, 123]], "face-station/06.02.18/002_02_001_2_81": [[16, 46], [120, 123]], "face-station/06.02.18/002_02_018_2_82": [[9, 47], [116, 123]], "face-station/08.02.18/002_02_000_0_00": [[10, 5], [110, 118]], "face-station/08.02.18/002_02_000_0_01": [[12, 3], [109, 114]], "face-station/08.02.18/002_03_000_0_00": [[9, 3], [107, 118]], "face-station/08.02.18/002_03_000_0_01": [[11, 2], [106, 119]], "face-station/08.02.18/002_03_022_2_81": [[8, 47], [122, 121]], "face-station/13.02.18/002_02_031_2_81": [[9, 47], [118, 122]], "face-station/13.02.18/002_03_047_2_81": [[8, 44], [113, 123]], "face-station/14.02.18/002_03_051_2_82": [[29, 43], [94, 122]], "face-station/19.02.18/002_02_000_2_13": [[16, 42], [109, 122]], "face-station/19.02.18/002_02_000_2_81": [[15, 48], [112, 122]], "face-station/21.02.18/002_03_000_2_82": [[22, 42], [119, 122]], "face-station/21.02.18/002_03_020_2_13": [[13, 7], [104, 123]], "face-station/21.02.18/002_03_000_2_13": [[12, 7], [108, 123]], "face-station/22.02.18/002_03_044_2_13": [[6, 5], [108, 123]], "face-station/22.02.18/002_03_000_2_81": [[25, 42], [110, 120]], "face-station/27.02.18/002_01_000_2_81": [[13, 44], [111, 122]], "face-station/27.02.18/002_01_000_2_82": [[14, 43], [115, 121]], "face-station/27.02.18/002_01_000_2_13": [[8, 7], [109, 122]], "face-station/01.05.18/002_06_064_2_13": [[11, 5], [105, 117]], "face-station/02.05.18/002_05_003_2_82": [[8, 42], [113, 122]], "face-station/03.05.18/002_07_064_2_82": [[13, 44], [104, 122]], "face-station/04.05.18/002_05_000_0_00": [[8, 3], [111, 112]], "face-station/04.05.18/002_05_000_0_01": [[10, 2], [109, 117]], "face-station/04.05.18/002_06_004_2_82": [[11, 45], [110, 118]], "face-station/07.05.18/002_07_000_2_82": [[18, 45], [101, 120]], "face-station/07.05.18/002_05_000_2_82": [[15, 41], [103, 120]], "face-station/07.05.18/002_06_000_2_82": [[20, 43], [106, 121]], "face-station/07.05.18/002_04_000_2_82": [[12, 44], [106, 121]], "face-station/07.05.18/002_06_000_0_00": [[9, 3], [105, 116]], "face-station/07.05.18/002_06_000_0_01": [[11, 2], [99, 118]], "face-station/08.05.18/002_07_000_0_00": [[10, 4], [110, 114]], "face-station/08.05.18/002_07_000_0_01": [[1, 4], [126, 65]], "face-station/15.05.18/002_05_019_2_13": [[22, 3], [100, 120]], "face-station/22.05.18/002_06_018_2_81": [[21, 48], [108, 123]], "face-station/23.05.18/002_07_073_2_81": [[10, 45], [114, 124]], "face-station/23.05.18/002_07_073_2_13": [[11, 44], [116, 121]], "face-station/23.05.18/002_05_073_2_81": [[11, 46], [116, 122]], "face-station/29.05.18/002_04_000_2_81": [[8, 47], [112, 123]], "face-station/29.05.18/002_05_000_2_81": [[12, 41], [116, 123]], "face-station/29.05.18/002_06_000_2_81": [[14, 44], [113, 121]], "face-station/29.05.18/002_07_000_2_81": [[10, 46], [115, 122]], "face-station/04.06.18/002_04_000_2_13": [[20, 9], [102, 123]], "face-station/04.06.18/002_05_000_2_13": [[12, 6], [115, 61]], "face-station/04.06.18/002_06_000_2_13": [[9, 4], [116, 87]], "face-station/04.06.18/002_07_000_2_13": [[4, 4], [116, 81]], "face-station/17.01.18/004_01_000_0_00": [[1, 3], [106, 120]], "face-station/07.02.18/004_02_000_0_00": [[3, 4], [108, 120]], "face-station/15.02.18/004_03_000_0_00": [[5, 4], [109, 120]], "face-station/04.05.18/004_06_000_0_00": [[2, 3], [106, 120]], "face-station/15.05.18/004_05_000_0_00": [[3, 3], [108, 121]], "face-station/16.05.18/004_07_000_0_00": [[3, 1], [104, 120]], "face-station/18.01.18/005_01_000_0_00": [[8, 2], [119, 99]], "face-station/18.01.18/005_01_000_0_01": [[8, 3], [117, 97]], "face-station/15.03.18/005_04_000_4_09": [[5, 5], [119, 120]], "face-station/15.03.18/005_04_000_4_10": [[6, 6], [123, 120]], "face-station/08.02.18/005_02_000_0_01": [[14, 5], [109, 113]], "face-station/08.02.18/005_02_000_0_00": [[10, 5], [110, 112]], "face-station/12.02.18/005_03_000_0_00": [[14, 5], [116, 111]], "face-station/12.02.18/005_03_000_0_01": [[9, 4], [109, 118]], "face-station/14.02.18/005_03_061_4_10": [[6, 5], [122, 123]], "face-station/14.02.18/005_03_061_4_09": [[5, 4], [121, 121]], 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"face-station/05.07.18/108_07_073_2_77": [[11, 46], [110, 121]]}
\ No newline at end of file
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GitLab