Skip to content
Projects
Groups
Snippets
Help
Loading...
Help
Support
Keyboard shortcuts
?
Submit feedback
Contribute to GitLab
Sign in
Toggle navigation
bob.bio.vein
Project overview
Project overview
Details
Activity
Releases
Repository
Repository
Files
Commits
Branches
Tags
Contributors
Graph
Compare
Issues
1
Issues
1
List
Boards
Labels
Milestones
Merge Requests
0
Merge Requests
0
CI / CD
CI / CD
Pipelines
Jobs
Schedules
Analytics
Analytics
CI / CD
Repository
Value Stream
Members
Members
Collapse sidebar
Close sidebar
Activity
Graph
Create a new issue
Jobs
Commits
Issue Boards
Open sidebar
bob
bob.bio.vein
Commits
232f4a21
Commit
232f4a21
authored
Jun 05, 2018
by
André Anjos
💬
Browse files
Options
Browse Files
Download
Plain Diff
Merge branch 'issue-17' into 'master'
Using the new bob.bio API Closes
#17
See merge request
!43
parents
0693a692
93c487b6
Pipeline
#20783
passed with stages
in 34 minutes and 32 seconds
Changes
2
Pipelines
1
Hide whitespace changes
Inline
Side-by-side
Showing
2 changed files
with
53 additions
and
32 deletions
+53
-32
doc/baselines.rst
doc/baselines.rst
+48
-27
setup.py
setup.py
+5
-5
No files found.
doc/baselines.rst
View file @
232f4a21
...
...
@@ -147,11 +147,18 @@ performance:
.. code-block:: sh
$ bob_eval_threshold.py <path-to>/verafinger/rlt/Nom/nonorm/scores-dev
('Threshold:', 0.31835292)
FAR : 23.636% (11388/48180)
FRR : 23.636% (52/220)
HTER: 23.636%
$ bob bio metrics <path-to>/verafinger/rlt/Nom/nonorm/scores-dev --no-evaluation
[Min. criterion: EER ] Threshold on Development set `scores-dev`: 0.31835292
====== ========================
None Development scores-dev
====== ========================
FtA 0.0%
FMR 23.6% (11388/48180)
FNMR 23.6% (52/220)
FAR 23.6%
FRR 23.6%
HTER 23.6%
====== ========================
Maximum Curvature with Miura Matching
...
...
@@ -180,11 +187,19 @@ we obtained:
.. code-block:: sh
$ bob_eval_threshold.py <path-to>/verafinger/mc/Nom/nonorm/scores-dev
('Threshold:', 0.0737283)
FAR : 4.388% (2114/48180)
FRR : 4.545% (10/220)
HTER: 4.467%
$ bob bio metrics <path-to>/verafinger/mc/Nom/nonorm/scores-dev --no-evaluation
[Min. criterion: EER ] Threshold on Development set `scores-dev`: 7.372830e-02
====== ========================
None Development scores-dev
====== ========================
FtA 0.0%
FMR 4.4% (2116/48180)
FNMR 4.5% (10/220)
FAR 4.4%
FRR 4.5%
HTER 4.5%
====== ========================
Wide Line Detector with Miura Matching
======================================
...
...
@@ -192,7 +207,7 @@ Wide Line Detector with Miura Matching
You can find the description of this method on the paper from Huang *et al.*
[HDLTL10]_.
To run the baseline on the `VERA fingervein`_ database, using the ``N
OM
``
To run the baseline on the `VERA fingervein`_ database, using the ``N
om
``
protocol like above, do the following:
...
...
@@ -213,11 +228,17 @@ we obtained:
.. code-block:: sh
$ bob_eval_threshold.py <path-to>/verafinger/wld/NOM/nonorm/scores-dev
('Threshold:', 0.240269475)
FAR : 9.770% (4707/48180)
FRR : 9.545% (21/220)
HTER: 9.658%
$ bob bio metrics <path-to>/verafinger/wld/Nom/nonorm/scores-dev --no-evaluation
[Min. criterion: EER ] Threshold on Development set `scores-dev`: 2.402707e-01
====== ========================
None Development scores-dev
====== ========================
FtA 0.0%
FMR 9.8% (4726/48180)
FNMR 10.0% (22/220)
FAR 9.8%
FRR 10.0%
HTER 9.9%
Results for other Baselines
...
...
@@ -233,7 +254,7 @@ correspond to the the equal-error rate on the development set, in percentage):
Feature Extractor Full B Nom 1vsall nom
======================== ====== ====== ====== ====== ======
Repeated Line Tracking 14.6 13.4 23.6 3.4 1.4
Wide Line Detector 5.8 5.6
9.7
2.8 1.9
Wide Line Detector 5.8 5.6
9.9
2.8 1.9
Maximum Curvature 2.5 1.4 4.5 0.9 0.4
======================== ====== ====== ====== ====== ======
...
...
@@ -347,11 +368,11 @@ When used to run an experiment,
:py:class:`bob.bio.vein.preprocessor.WatershedMask` requires you provide a
*pre-trained* neural network model that presets the markers before
watershedding takes place. In order to create one, you can run the program
`markdet.py`:
`
bob_bio_vein_
markdet.py`:
.. code-block:: sh
$ markdet.py --hidden=20 --samples=500 fv3d central dev
$
bob_bio_vein_
markdet.py --hidden=20 --samples=500 fv3d central dev
You input, as arguments to this application, the database, protocol and subset
name you wish to use for training the network. The data is loaded observing a
...
...
@@ -367,9 +388,9 @@ Region of Interest Goodness of Fit
==================================
Automatic region of interest (RoI) finding and cropping can be evaluated using
a couple of scripts available in this package. The program
``compare_rois.py``
compares two sets of ``preprocessed`` images and masks, generated by
*different* preprocessors (see
a couple of scripts available in this package. The program
``bob_bio_vein_compare_rois.py`` compares two sets of ``preprocessed`` images
and masks, generated by
*different* preprocessors (see
:py:class:`bob.bio.base.preprocessor.Preprocessor`) and calculates a few
metrics to help you determine how both techniques compare. Normally, the
program is used to compare the result of automatic RoI to manually annoted
...
...
@@ -379,7 +400,7 @@ extracted ones. E.g.:
.. code-block:: sh
$ compare_rois.py ~/verafinger/mc_annot/preprocessed ~/verafinger/mc/preprocessed
$
bob_bio_vein_
compare_rois.py ~/verafinger/mc_annot/preprocessed ~/verafinger/mc/preprocessed
Jaccard index: 9.60e-01 +- 5.98e-02
Intersection ratio (m1): 9.79e-01 +- 5.81e-02
Intersection ratio of complement (m2): 1.96e-02 +- 1.53e-02
...
...
@@ -399,12 +420,12 @@ metrics.
Pipeline Display
================
You can use the program ``
view_sample.py`` to display the images after
full processing using:
You can use the program ``
bob_bio_vein_view_sample.py`` to display the images
after
full processing using:
.. code-block:: sh
$
./bin/
view_sample.py --save=output-dir verafinger /path/to/processed/directory 030-M/030_L_1
$
bob_bio_vein_
view_sample.py --save=output-dir verafinger /path/to/processed/directory 030-M/030_L_1
$ # open output-dir
And you should be able to view images like these (example taken from the Vera
...
...
@@ -415,7 +436,7 @@ feature extractor):
:scale: 50%
Example RoI overlayed on finger vein image of the Vera fingervein database,
as produced by the script ``view_sample.py``.
as produced by the script ``
bob_bio_vein_
view_sample.py``.
.. figure:: img/binarized.*
...
...
setup.py
View file @
232f4a21
...
...
@@ -50,11 +50,11 @@ setup(
],
'console_scripts'
:
[
'compare_rois.py = bob.bio.vein.script.compare_rois:main'
,
'view_sample.py = bob.bio.vein.script.view_sample:main'
,
'blame.py = bob.bio.vein.script.blame:main'
,
'markdet.py = bob.bio.vein.script.markdet:main'
,
'watershed_mask.py = bob.bio.vein.script.watershed_mask:main'
,
'
bob_bio_vein_
compare_rois.py = bob.bio.vein.script.compare_rois:main'
,
'
bob_bio_vein_
view_sample.py = bob.bio.vein.script.view_sample:main'
,
'b
ob_bio_vein_b
lame.py = bob.bio.vein.script.blame:main'
,
'
bob_bio_vein_
markdet.py = bob.bio.vein.script.markdet:main'
,
'
bob_bio_vein_
watershed_mask.py = bob.bio.vein.script.watershed_mask:main'
,
]
},
...
...
Write
Preview
Markdown
is supported
0%
Try again
or
attach a new file
Attach a file
Cancel
You are about to add
0
people
to the discussion. Proceed with caution.
Finish editing this message first!
Cancel
Please
register
or
sign in
to comment