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bob
bob.bio.vein
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49b27922
Commit
49b27922
authored
Jun 04, 2018
by
Tiago de Freitas Pereira
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Updated the docs w.r.t. the new bob API.
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0693a692
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doc/baselines.rst
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49b27922
...
@@ -147,7 +147,7 @@ performance:
...
@@ -147,7 +147,7 @@ performance:
.. code-block:: sh
.. code-block:: sh
$ bob
_eval_threshold.py <path-to>/verafinger/rlt/Nom/nonorm/scores-dev
$ bob
bio metrics <path-to>/verafinger/rlt/Nom/nonorm/scores-dev --no-evaluation
('Threshold:', 0.31835292)
('Threshold:', 0.31835292)
FAR : 23.636% (11388/48180)
FAR : 23.636% (11388/48180)
FRR : 23.636% (52/220)
FRR : 23.636% (52/220)
...
@@ -180,7 +180,7 @@ we obtained:
...
@@ -180,7 +180,7 @@ we obtained:
.. code-block:: sh
.. code-block:: sh
$ bob
_eval_threshold.py <path-to>/verafinger/mc/Nom/nonorm/scores-dev
$ bob
bio metrics <path-to>/verafinger/mc/Nom/nonorm/scores-dev --no-evaluation
('Threshold:', 0.0737283)
('Threshold:', 0.0737283)
FAR : 4.388% (2114/48180)
FAR : 4.388% (2114/48180)
FRR : 4.545% (10/220)
FRR : 4.545% (10/220)
...
@@ -213,7 +213,7 @@ we obtained:
...
@@ -213,7 +213,7 @@ we obtained:
.. code-block:: sh
.. code-block:: sh
$ bob
_eval_threshold.py <path-to>/verafinger/wld/NOM/nonorm/scores-dev
$ bob
bio metrics <path-to>/verafinger/wld/NOM/nonorm/scores-dev --no-evaluation
('Threshold:', 0.240269475)
('Threshold:', 0.240269475)
FAR : 9.770% (4707/48180)
FAR : 9.770% (4707/48180)
FRR : 9.545% (21/220)
FRR : 9.545% (21/220)
...
@@ -347,11 +347,11 @@ When used to run an experiment,
...
@@ -347,11 +347,11 @@ When used to run an experiment,
:py:class:`bob.bio.vein.preprocessor.WatershedMask` requires you provide a
:py:class:`bob.bio.vein.preprocessor.WatershedMask` requires you provide a
*pre-trained* neural network model that presets the markers before
*pre-trained* neural network model that presets the markers before
watershedding takes place. In order to create one, you can run the program
watershedding takes place. In order to create one, you can run the program
`markdet.py`:
`
bob_vein_
markdet.py`:
.. code-block:: sh
.. code-block:: sh
$ markdet.py --hidden=20 --samples=500 fv3d central dev
$
bob_vein_
markdet.py --hidden=20 --samples=500 fv3d central dev
You input, as arguments to this application, the database, protocol and subset
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
name you wish to use for training the network. The data is loaded observing a
...
@@ -367,7 +367,7 @@ Region of Interest Goodness of Fit
...
@@ -367,7 +367,7 @@ Region of Interest Goodness of Fit
==================================
==================================
Automatic region of interest (RoI) finding and cropping can be evaluated using
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``
a couple of scripts available in this package. The program ``
bob_vein_
compare_rois.py``
compares two sets of ``preprocessed`` images and masks, generated by
compares two sets of ``preprocessed`` images and masks, generated by
*different* preprocessors (see
*different* preprocessors (see
:py:class:`bob.bio.base.preprocessor.Preprocessor`) and calculates a few
:py:class:`bob.bio.base.preprocessor.Preprocessor`) and calculates a few
...
@@ -379,7 +379,7 @@ extracted ones. E.g.:
...
@@ -379,7 +379,7 @@ extracted ones. E.g.:
.. code-block:: sh
.. code-block:: sh
$ compare_rois.py ~/verafinger/mc_annot/preprocessed ~/verafinger/mc/preprocessed
$
bob_vein_
compare_rois.py ~/verafinger/mc_annot/preprocessed ~/verafinger/mc/preprocessed
Jaccard index: 9.60e-01 +- 5.98e-02
Jaccard index: 9.60e-01 +- 5.98e-02
Intersection ratio (m1): 9.79e-01 +- 5.81e-02
Intersection ratio (m1): 9.79e-01 +- 5.81e-02
Intersection ratio of complement (m2): 1.96e-02 +- 1.53e-02
Intersection ratio of complement (m2): 1.96e-02 +- 1.53e-02
...
@@ -399,12 +399,12 @@ metrics.
...
@@ -399,12 +399,12 @@ metrics.
Pipeline Display
Pipeline Display
================
================
You can use the program ``view_sample.py`` to display the images after
You can use the program ``
bob_vein_
view_sample.py`` to display the images after
full processing using:
full processing using:
.. code-block:: sh
.. code-block:: sh
$
./bin/
view_sample.py --save=output-dir verafinger /path/to/processed/directory 030-M/030_L_1
$
bob_vein_
view_sample.py --save=output-dir verafinger /path/to/processed/directory 030-M/030_L_1
$ # open output-dir
$ # open output-dir
And you should be able to view images like these (example taken from the Vera
And you should be able to view images like these (example taken from the Vera
...
@@ -415,7 +415,7 @@ feature extractor):
...
@@ -415,7 +415,7 @@ feature extractor):
:scale: 50%
:scale: 50%
Example RoI overlayed on finger vein image of the Vera fingervein database,
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_vein_
view_sample.py``.
.. figure:: img/binarized.*
.. figure:: img/binarized.*
...
...
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