From 15961f9fd23bfd0ac46eaaf1a068cdd4df772a07 Mon Sep 17 00:00:00 2001
From: Theophile GENTILHOMME <tgentilhomme@jurasix08.idiap.ch>
Date: Thu, 28 Jun 2018 11:57:21 +0200
Subject: [PATCH] [script][figure] Change labels
---
bob/bio/base/script/figure.py | 12 ++++++------
1 file changed, 6 insertions(+), 6 deletions(-)
diff --git a/bob/bio/base/script/figure.py b/bob/bio/base/script/figure.py
index 2196ba4d..b19b76d2 100644
--- a/bob/bio/base/script/figure.py
+++ b/bob/bio/base/script/figure.py
@@ -11,8 +11,8 @@ from tabulate import tabulate
class Roc(measure_figure.Roc):
def __init__(self, ctx, scores, evaluation, func_load):
super(Roc, self).__init__(ctx, scores, evaluation, func_load)
- self._x_label = ctx.meta.get('x_label') or 'False Match Rate'
- default_y_label = '1 - False Non Match Rate' if self._semilogx \
+ self._x_label = ctx.meta.get('x_label') or 'FMR'
+ default_y_label = '1 - FNMR' if self._semilogx \
else 'False Non Match Rate'
self._y_label = ctx.meta.get('y_label') or default_y_label
@@ -20,8 +20,8 @@ class Roc(measure_figure.Roc):
class Det(measure_figure.Det):
def __init__(self, ctx, scores, evaluation, func_load):
super(Det, self).__init__(ctx, scores, evaluation, func_load)
- self._x_label = ctx.meta.get('x_label') or 'False Match Rate (%)'
- self._y_label = ctx.meta.get('y_label') or 'False Non Match Rate (%)'
+ self._x_label = ctx.meta.get('x_label') or 'FMR (%)'
+ self._y_label = ctx.meta.get('y_label') or 'FNMR (%)'
class Cmc(measure_figure.PlotBase):
@@ -30,7 +30,7 @@ class Cmc(measure_figure.PlotBase):
def __init__(self, ctx, scores, evaluation, func_load):
super(Cmc, self).__init__(ctx, scores, evaluation, func_load)
self._semilogx = ctx.meta.get('semilogx', True)
- self._titles = self._titles or ['CMC dev', 'CMC eval']
+ self._titles = self._titles or ['CMC dev.', 'CMC eval.']
self._x_label = self._x_label or 'Rank'
self._y_label = self._y_label or 'Identification rate'
self._max_R = 0
@@ -76,7 +76,7 @@ class Dir(measure_figure.PlotBase):
self._rank = ctx.meta.get('rank', 1)
self._titles = self._titles or ['DIR curve'] * 2
self._x_label = self._x_label or 'False Alarm Rate'
- self._y_label = self._y_label or 'Detection and Identification Rate'
+ self._y_label = self._y_label or 'DIR'
def compute(self, idx, input_scores, input_names):
''' Plot DIR for dev and eval data using
--
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