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beat
beat.examples
Commits
81fcf187
Commit
81fcf187
authored
Oct 27, 2017
by
Philip ABBET
Browse files
Add atnt/4 (api change: beat.backend.python v1.4.1)
parent
df15c5e8
Changes
3
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advanced/databases/atnt/4.json
0 → 100644
View file @
81fcf187
{
"description"
:
"The AT&T Database of Faces"
,
"root_folder"
:
"/idiap/group/biometric/databases/orl"
,
"protocols"
:
[
{
"name"
:
"idiap"
,
"template"
:
"simple_face_recognition"
,
"sets"
:
[
{
"name"
:
"train"
,
"template"
:
"train"
,
"view"
:
"Train"
,
"outputs"
:
{
"file_id"
:
"{{ system_user.username }}/uint64/1"
,
"client_id"
:
"{{ system_user.username }}/uint64/1"
,
"image"
:
"{{ system_user.username }}/array_2d_uint8/1"
}
},
{
"name"
:
"templates"
,
"template"
:
"templates"
,
"view"
:
"Templates"
,
"outputs"
:
{
"file_id"
:
"{{ system_user.username }}/uint64/1"
,
"client_id"
:
"{{ system_user.username }}/uint64/1"
,
"template_id"
:
"{{ system_user.username }}/uint64/1"
,
"image"
:
"{{ system_user.username }}/array_2d_uint8/1"
}
},
{
"name"
:
"probes"
,
"template"
:
"probes"
,
"view"
:
"Probes"
,
"outputs"
:
{
"file_id"
:
"{{ system_user.username }}/uint64/1"
,
"probe_id"
:
"{{ system_user.username }}/uint64/1"
,
"client_id"
:
"{{ system_user.username }}/uint64/1"
,
"template_ids"
:
"{{ system_user.username }}/array_1d_uint64/1"
,
"image"
:
"{{ system_user.username }}/array_2d_uint8/1"
}
}
]
},
{
"name"
:
"idiap_test_eyepos"
,
"template"
:
"advanced_face_recognition"
,
"sets"
:
[
{
"name"
:
"train"
,
"template"
:
"train"
,
"view"
:
"Train"
,
"outputs"
:
{
"file_id"
:
"{{ system_user.username }}/uint64/1"
,
"client_id"
:
"{{ system_user.username }}/uint64/1"
,
"image"
:
"{{ system_user.username }}/array_3d_uint8/1"
,
"eye_centers"
:
"{{ system_user.username }}/eye_positions/1"
}
},
{
"name"
:
"dev_templates"
,
"template"
:
"templates"
,
"view"
:
"Templates"
,
"parameters"
:
{
"group"
:
"dev"
},
"outputs"
:
{
"file_id"
:
"{{ system_user.username }}/uint64/1"
,
"client_id"
:
"{{ system_user.username }}/uint64/1"
,
"template_id"
:
"{{ system_user.username }}/uint64/1"
,
"image"
:
"{{ system_user.username }}/array_3d_uint8/1"
,
"eye_centers"
:
"{{ system_user.username }}/eye_positions/1"
}
},
{
"name"
:
"dev_probes"
,
"template"
:
"probes"
,
"view"
:
"Probes"
,
"parameters"
:
{
"group"
:
"dev"
},
"outputs"
:
{
"file_id"
:
"{{ system_user.username }}/uint64/1"
,
"probe_id"
:
"{{ system_user.username }}/uint64/1"
,
"client_id"
:
"{{ system_user.username }}/uint64/1"
,
"template_ids"
:
"{{ system_user.username }}/array_1d_uint64/1"
,
"image"
:
"{{ system_user.username }}/array_3d_uint8/1"
,
"eye_centers"
:
"{{ system_user.username }}/eye_positions/1"
}
},
{
"name"
:
"test_templates"
,
"template"
:
"templates"
,
"view"
:
"Templates"
,
"parameters"
:
{
"group"
:
"eval"
},
"outputs"
:
{
"file_id"
:
"{{ system_user.username }}/uint64/1"
,
"client_id"
:
"{{ system_user.username }}/uint64/1"
,
"template_id"
:
"{{ system_user.username }}/uint64/1"
,
"image"
:
"{{ system_user.username }}/array_3d_uint8/1"
,
"eye_centers"
:
"{{ system_user.username }}/eye_positions/1"
}
},
{
"name"
:
"test_probes"
,
"template"
:
"probes"
,
"view"
:
"Probes"
,
"parameters"
:
{
"group"
:
"eval"
},
"outputs"
:
{
"file_id"
:
"{{ system_user.username }}/uint64/1"
,
"probe_id"
:
"{{ system_user.username }}/uint64/1"
,
"client_id"
:
"{{ system_user.username }}/uint64/1"
,
"template_ids"
:
"{{ system_user.username }}/array_1d_uint64/1"
,
"image"
:
"{{ system_user.username }}/array_3d_uint8/1"
,
"eye_centers"
:
"{{ system_user.username }}/eye_positions/1"
}
}
]
}
]
}
advanced/databases/atnt/4.py
0 → 100644
View file @
81fcf187
This diff is collapsed.
Click to expand it.
advanced/databases/atnt/4.rst
0 → 100644
View file @
81fcf187
.. Copyright (c) 2017 Idiap Research Institute, http://www.idiap.ch/ ..
.. Contact: beat.support@idiap.ch ..
.. ..
.. This file is part of the beat.examples module of the BEAT platform. ..
.. ..
.. Commercial License Usage ..
.. Licensees holding valid commercial BEAT licenses may use this file in ..
.. accordance with the terms contained in a written agreement between you ..
.. and Idiap. For further information contact tto@idiap.ch ..
.. ..
.. Alternatively, this file may be used under the terms of the GNU Affero ..
.. Public License version 3 as published by the Free Software and appearing ..
.. in the file LICENSE.AGPL included in the packaging of this file. ..
.. The BEAT platform is distributed in the hope that it will be useful, but ..
.. WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY ..
.. or FITNESS FOR A PARTICULAR PURPOSE. ..
.. ..
.. You should have received a copy of the GNU Affero Public License along ..
.. with the BEAT platform. If not, see http://www.gnu.org/licenses/. ..
The AT&T Database of Faces
--------------------------
Changelog
=========
* **Version 4**, 27/Oct/2017:
- Port to beat.backend.python v1.4.1
* **Version 3**, 20/Jan/2016:
- Port to Bob v2
* **Version 2**, 03/Sep/2015:
- Fix ``idiap_eye_pos`` protocol that was returning the **wrong** eye
positions and was generating rotated crops instead.
* **Version 1**, 01/Apr/2014:
- Initial release
Description
===========
The `AT&T Database of Faces
<http://www.cl.cam.ac.uk/research/dtg/attarchive/facedatabase.html>`_,
(formerly 'The ORL Database of Faces'), contains a set of face images taken
between April 1992 and April 1994. The database was used in the context of a
face recognition project carried out at `Cambridge University
<http://www.cam.ac.uk/>`.
There are ten different images of each of 40 distinct subjects. For some
subjects, the images were taken at different times, varying the lighting,
facial expressions (open / closed eyes, smiling / not smiling) and
facial details (glasses / no glasses). All the images were taken against a
dark homogeneous background with the subjects in an upright, frontal position
(with tolerance for some side movement).
A preview image of the Database of Faces is shown below:
.. image:: http://www.cl.cam.ac.uk/research/dtg/attarchive/images/pictures/faces.gif
:width: 700 px
The files are in PGM format. The size of each image is 92x112 pixels, with
256 grey levels per pixel. There are 40 subjects, each subject having 10
different images.
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