From 60cd1d4cbe04872fb129e4f426ca8fa5c52f92c0 Mon Sep 17 00:00:00 2001
From: Manuel Gunther <siebenkopf@googlemail.com>
Date: Mon, 25 Apr 2016 13:56:52 -0600
Subject: [PATCH] Corrected implementation of open set recognition rate tests
(which are failing)
Conflicts:
bob/measure/test_error.py
---
bob/measure/test_error.py | 24 ++++++++++++------------
1 file changed, 12 insertions(+), 12 deletions(-)
diff --git a/bob/measure/test_error.py b/bob/measure/test_error.py
index 0764642..70060f8 100644
--- a/bob/measure/test_error.py
+++ b/bob/measure/test_error.py
@@ -330,26 +330,26 @@ def test_open_set_recognition_rate():
far_value = 0.01
- #No error files
+ # No error files
cmc_scores = bob.measure.load.cmc_four_column(F("scores-cmc-4col-open-set.txt"))
normal_scores = bob.measure.load.split_four_column(F("scores-cmc-4col-open-set.txt"))
- assert bob.measure.recognition_rate(cmc_scores), 1.0
- assert bob.measure.recognition_rate(cmc_scores, threshold=0.5), 1.0
+ assert abs(bob.measure.recognition_rate(cmc_scores) - 1.0) < 1e-8
+ assert abs(bob.measure.recognition_rate(cmc_scores, threshold=0.5) - 1.0) < 1e-8
t = bob.measure.far_threshold(normal_scores[0], normal_scores[1],far_value)
- assert bob.measure.recognition_rate(cmc_scores, threshold=t), 1.0
+ assert abs(bob.measure.recognition_rate(cmc_scores, threshold=t) - 1.0) < 1e-8
- #One error
+ # One error
cmc_scores = bob.measure.load.cmc_four_column(F("scores-cmc-4col-open-set.txt"))
normal_scores = bob.measure.load.split_four_column(F("scores-cmc-4col-open-set.txt"))
- assert bob.measure.recognition_rate(cmc_scores), 0.857142857143
- assert bob.measure.recognition_rate(cmc_scores, threshold=0.5), 0.857142857143
+ assert abs(bob.measure.recognition_rate(cmc_scores) - 0.857142857143) < 1e-8
+ assert abs(bob.measure.recognition_rate(cmc_scores, threshold=0.5) - 0.857142857143) < 1e-8
t = bob.measure.far_threshold(normal_scores[0], normal_scores[1],far_value)
- assert bob.measure.recognition_rate(cmc_scores, threshold=t), 0.857142857143
+ assert abs(bob.measure.recognition_rate(cmc_scores, threshold=t) - 0.857142857143) < 1e-8
- #Two errors
+ # Two errors
cmc_scores = bob.measure.load.cmc_four_column(F("scores-cmc-4col-open-set.txt"))
normal_scores = bob.measure.load.split_four_column(F("scores-cmc-4col-open-set.txt"))
- assert bob.measure.recognition_rate(cmc_scores), 0.857142857143
- assert bob.measure.recognition_rate(cmc_scores, threshold=0.5), 0.857142857143
+ assert abs(bob.measure.recognition_rate(cmc_scores) - 0.857142857143) < 1e-8
+ assert abs(bob.measure.recognition_rate(cmc_scores, threshold=0.5) - 0.857142857143) < 1e-8
t = bob.measure.far_threshold(normal_scores[0], normal_scores[1],far_value)
- assert bob.measure.recognition_rate(cmc_scores, threshold=t), 0.0
+ assert abs(bob.measure.recognition_rate(cmc_scores, threshold=t)) < 1e-8
--
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