diff --git a/doc/baselines.rst b/doc/baselines.rst index 6aed1e69718d64c4cc39950ec414776782fbea32..2a35c4c70d35ad007c180bee48e887bc6a9bced4 100644 --- a/doc/baselines.rst +++ b/doc/baselines.rst @@ -254,7 +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 ======================== ====== ====== ====== ====== ====== @@ -368,11 +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 -`bob_vein_markdet.py`: +`bob_bio_vein_markdet.py`: .. code-block:: sh - $ bob_vein_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 @@ -388,9 +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 ``bob_vein_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 @@ -400,7 +400,7 @@ extracted ones. E.g.: .. code-block:: sh - $ bob_vein_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 @@ -420,12 +420,12 @@ metrics. Pipeline Display ================ -You can use the program ``bob_vein_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 - $ bob_vein_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 @@ -436,7 +436,7 @@ feature extractor): :scale: 50% Example RoI overlayed on finger vein image of the Vera fingervein database, - as produced by the script ``bob_vein_view_sample.py``. + as produced by the script ``bob_bio_vein_view_sample.py``. .. figure:: img/binarized.* diff --git a/setup.py b/setup.py index 089e817d2af0bac3bb49f9c8062d8aefe10b7765..986e76be7263be8ea30a5e749641668d0e388d0c 100644 --- a/setup.py +++ b/setup.py @@ -50,11 +50,11 @@ setup( ], 'console_scripts': [ - 'bob_vein_compare_rois.py = bob.bio.vein.script.compare_rois:main', - 'bob_vein_view_sample.py = bob.bio.vein.script.view_sample:main', - 'bob_vein_blame.py = bob.bio.vein.script.blame:main', - 'bob_vein_markdet.py = bob.bio.vein.script.markdet:main', - 'bob_vein_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', + 'bob_bio_vein_blame.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', ] },